├── .ci
    ├── bundle_instrument_expected_output.txt
    ├── bundle_tflite_custom_expected_output.txt
    ├── bundle_with_extra_objects_expected_output.txt
    ├── bundle_with_multiple_entries_expected_output.txt
    ├── lenet_mnist_expected_output.txt
    └── resnet50_expected_output.txt
├── .circleci
    ├── lsan_suppressions.txt
    └── run_coverage.sh
├── .clang-format
├── .clang-tidy
├── .github
    ├── build.sh
    ├── stale.yml
    ├── test.sh
    └── workflows
    │   └── glow-build.yml
├── .gitignore
├── .gitmodules
├── CMakeLists.txt
├── CODE_OF_CONDUCT.md
├── CONTRIBUTING.md
├── CONTRIBUTORS
├── LICENSE
├── PULL_REQUEST.md
├── PULL_REQUEST_TEMPLATE.md
├── README.md
├── cmake
    └── modules
    │   ├── CMakeGraphVizOptions.cmake
    │   ├── CoverageSupport.cmake
    │   ├── DoxygenSupport.cmake
    │   ├── FindBackends.cmake
    │   ├── Gflags.cmake
    │   ├── Glog.cmake
    │   ├── GlowAddLibjit.cmake
    │   ├── GlowDefaults.cmake
    │   ├── GlowExternalBackends.cmake
    │   ├── GlowSerialize.cmake
    │   ├── GlowTestSupport.cmake
    │   └── SanitizerSupport.cmake
├── docs
    ├── 3LevelIR.png
    ├── AOT.md
    ├── Backends.md
    ├── Block.md
    ├── Building.md
    ├── ClassGen.md
    ├── CodingStandards.md
    ├── DAG_example.png
    ├── Doxyfile.in
    ├── ExternalBackend.md
    ├── GlowWindowsBuildx86.md
    ├── GraphOptimizationPipeline.md
    ├── HeterogeneousPartition.png
    ├── IR.md
    ├── InferenceEngines.md
    ├── JIT.md
    ├── LLVMDebugInstrumentation.md
    ├── Lexicon.md
    ├── ModelLoader.md
    ├── ModelTuner.md
    ├── Network-Debugger.md
    ├── NewBackendSpecificNode.md
    ├── NewOperators.md
    ├── NodeSplitting.md
    ├── NodeSplitting.png
    ├── Onnxifi.md
    ├── Optimizations.md
    ├── Partitioner.md
    ├── Quantization.md
    ├── Runtime.md
    ├── Serialization.md
    ├── TensorLayout.md
    ├── Tensors.md
    ├── Testing.md
    ├── Tracing.md
    ├── XModelRunner.md
    ├── backend_dm_api.svg
    ├── chrome-tracing.png
    ├── glow_runtime.svg
    ├── logo.png
    ├── logo.svg
    ├── mnist.svg
    ├── module.png
    ├── network_init.svg
    ├── network_run.svg
    ├── nodes.png
    ├── partition1.png
    ├── partition2.png
    ├── partition3.png
    ├── partners
    │   ├── bitmain.png
    │   ├── cadence.png
    │   ├── ceva.png
    │   ├── esperanto.png
    │   ├── habana.png
    │   ├── intel.png
    │   ├── marvell.png
    │   ├── nxp.png
    │   ├── st.png
    │   └── synopsys.png
    ├── pred.png
    ├── pytorch.md
    ├── resnet50_quantized_subgraph.png
    ├── rowwise_quantized_fc.png
    └── tracing-example.png
├── examples
    ├── CMakeLists.txt
    ├── bundles
    │   ├── CMakeLists.txt
    │   ├── bundle_instrument
    │   │   ├── CMakeLists.txt
    │   │   └── main.cpp
    │   ├── bundle_tflite_custom
    │   │   ├── CMakeLists.txt
    │   │   ├── main.cpp
    │   │   └── tflite_custom.tflite
    │   ├── bundle_with_extra_objects
    │   │   ├── .gitignore
    │   │   ├── CMakeLists.txt
    │   │   ├── main.cpp
    │   │   └── test.o
    │   ├── bundle_with_multiple_entries
    │   │   ├── BundleSaver.cpp
    │   │   ├── CMakeLists.txt
    │   │   └── main.cpp
    │   ├── lenet_mnist
    │   │   ├── CMakeLists.txt
    │   │   └── main.cpp
    │   └── resnet50
    │   │   ├── CMakeLists.txt
    │   │   └── main.cpp
    ├── char-rnn.cpp
    ├── cifar10.cpp
    ├── fr2en.cpp
    ├── lenet-loader.cpp
    ├── mnist.cpp
    ├── ptb.cpp
    ├── resnet-runtime.cpp
    ├── resnet-verify.cpp
    ├── tracing-compare.cpp
    └── training
    │   ├── CMakeLists.txt
    │   └── resnet50
    │       ├── CMakeLists.txt
    │       └── main.cpp
├── externalbackends
    └── README.txt
├── include
    └── glow
    │   ├── Backend
    │       ├── Backend.h
    │       ├── BackendUtils.h
    │       ├── BlockStreamBase.h
    │       └── CompiledFunction.h
    │   ├── Backends
    │       ├── BackendOptions.h
    │       ├── DeviceManager.h
    │       ├── DummyDeviceManager.h
    │       ├── Interpreter
    │       │   ├── Interpreter.h
    │       │   ├── InterpreterDeviceManager.h
    │       │   └── InterpreterFunction.h
    │       ├── LayoutConverter.h
    │       └── QueueBackedDeviceManager.h
    │   ├── Base
    │       ├── DeviceTensorTransferManager.h
    │       ├── DimType.h
    │       ├── IO.h
    │       ├── Image.h
    │       ├── SliceRange.h
    │       ├── TaggedList.h
    │       ├── Tensor.h
    │       ├── TensorSerialization.h
    │       ├── Train.h
    │       ├── Traits.h
    │       └── Type.h
    │   ├── CodeGen
    │       └── MemoryAllocator.h
    │   ├── Converter
    │       ├── Float16Converter.h
    │       ├── FunctionConverter.h
    │       ├── FusedRowwiseConverter.h
    │       └── TypeAToTypeBFunctionConverter.h
    │   ├── ExecutionContext
    │       ├── ExecutionContext.h
    │       └── TraceEvents.h
    │   ├── ExecutionEngine
    │       └── ExecutionEngine.h
    │   ├── Exporter
    │       ├── CommonOperatorWriter.h
    │       ├── ONNXModelWriter.h
    │       └── ProtobufWriter.h
    │   ├── Flags
    │       └── Flags.h
    │   ├── Graph
    │       ├── FXIRUtils.h
    │       ├── FXIRWrapper.h
    │       ├── Grad.h
    │       ├── Graph.h
    │       ├── Hook.h
    │       ├── Log.h
    │       ├── Node.h
    │       ├── NodeValue.h
    │       ├── Nodes.h
    │       ├── PlaceholderBindings.h
    │       ├── TensorLayout.h
    │       ├── UseDef.h
    │       ├── Utils.h
    │       └── VerifierHelper.h
    │   ├── IR
    │       ├── IR.h
    │       ├── IRBuilder.h
    │       ├── IRGen.h
    │       ├── IRUtils.h
    │       ├── Instrs.h
    │       └── LLVMAPIMacros.h
    │   ├── Importer
    │       ├── Caffe2ModelLoader.h
    │       ├── CommonOperatorLoader.h
    │       ├── ONNXIFIModelLoader.h
    │       ├── ONNXModelLoader.h
    │       ├── ProtobufLoader.h
    │       └── TFLiteModelLoader.h
    │   ├── LLVMIRCodeGen
    │       ├── AllocationsInfo.h
    │       ├── BundleSaver.h
    │       ├── CommandLine.h
    │       ├── GlowJIT.h
    │       ├── JITFilePrinter.h
    │       ├── LLVMBackend.h
    │       ├── LLVMCompiledFunction.h
    │       └── LLVMIRGen.h
    │   ├── Optimizer
    │       ├── GraphOptimizer
    │       │   ├── CompilationContext.h
    │       │   ├── FunctionPass.h
    │       │   ├── FunctionPassManager.h
    │       │   ├── FunctionPassPipeline.h
    │       │   ├── FunctionPasses.def
    │       │   ├── FunctionPasses.h
    │       │   ├── GraphOptimizer.h
    │       │   ├── NodeSplitting.h
    │       │   └── TrainingPreparation.h
    │       ├── IROptimizer
    │       │   ├── CommandLine.h
    │       │   ├── IRFunctionPass.h
    │       │   ├── IRFunctionPassManager.h
    │       │   ├── IRFunctionPassPipeline.h
    │       │   ├── IRFunctionPasses.h
    │       │   ├── IROptimizer.h
    │       │   └── IRPasses.def
    │       └── Lower
    │       │   └── Lower.h
    │   ├── Partitioner
    │       ├── Partitioner.h
    │       ├── PartitionerBase.h
    │       ├── PartitionerOptimizer.h
    │       ├── PartitionerTypes.h
    │       ├── PartitionerUtils.h
    │       └── PartitionerValidation.h
    │   ├── PassManager
    │       ├── Pass.h
    │       ├── PassConfig.h
    │       ├── PassConfigUtils.h
    │       ├── PassManager.h
    │       └── Pipeline.h
    │   ├── Quantization
    │       ├── Base
    │       │   ├── Base.h
    │       │   ├── Calibration.h
    │       │   └── Profile.h
    │       ├── Quantization.h
    │       └── Serialization.h
    │   ├── Runtime
    │       ├── DeferredWeightLoader.h
    │       ├── DeviceHealthMonitor.h
    │       ├── ErrorReporter.h
    │       ├── Executor
    │       │   ├── Executor.h
    │       │   ├── NetworkExecutionState.h
    │       │   └── ThreadPoolExecutor.h
    │       ├── HostManager
    │       │   └── HostManager.h
    │       ├── InputSanitizer.h
    │       ├── Provisioner
    │       │   └── Provisioner.h
    │       ├── RequestData.h
    │       ├── RuntimeTypes.h
    │       ├── StatsExporter.h
    │       └── TraceExporter.h
    │   ├── Support
    │       ├── BFloat16.h
    │       ├── Compiler.h
    │       ├── Debug.h
    │       ├── Error.h
    │       ├── Float16.h
    │       ├── Memory.h
    │       ├── Random.h
    │       ├── Register.h
    │       ├── Support.h
    │       ├── TensorPool.h
    │       ├── ThreadPool.h
    │       └── ZipUtils.h
    │   └── Testing
    │       └── StrCheck.h
├── inference_engines
    └── x-inference-engines
    │   ├── CMakeLists.txt
    │   ├── main.c
    │   ├── x_inference_lib.c
    │   ├── x_inference_lib.h
    │   ├── x_perf_monitor.c
    │   └── x_perf_monitor.h
├── lib
    ├── Backend
    │   ├── Backend.cpp
    │   ├── BackendUtils.cpp
    │   ├── CMakeLists.txt
    │   └── CompiledFunction.cpp
    ├── Backends
    │   ├── Backends.cpp
    │   ├── CMakeLists.txt
    │   ├── CPU
    │   │   ├── CMakeLists.txt
    │   │   ├── CPUBackend.cpp
    │   │   ├── CPUBackend.h
    │   │   ├── CPUDeviceManager.cpp
    │   │   ├── CPUDeviceManager.h
    │   │   ├── CPUFactory.cpp
    │   │   ├── CPUFunction.cpp
    │   │   ├── CPUFunction.h
    │   │   ├── CPULLVMIRGen.cpp
    │   │   ├── CPULLVMIRGen.h
    │   │   ├── ClassGen
    │   │   │   ├── CMakeLists.txt
    │   │   │   ├── CPUSpecificInstrs.h
    │   │   │   ├── CPUSpecificInstrsVerification.h
    │   │   │   ├── CPUSpecificNodes.h
    │   │   │   └── CPUSpecificNodesVerification.h
    │   │   ├── ONNX
    │   │   │   └── CPUONNXModelWriter.cpp
    │   │   ├── Transforms.cpp
    │   │   ├── libjit_cpu
    │   │   │   ├── libjit_cpu.cpp
    │   │   │   └── libjit_cpu_conv.cpp
    │   │   ├── libobj_cpu
    │   │   │   └── Readme.md
    │   │   └── tests
    │   │   │   ├── CPUBackendCorrectnessTest.cpp
    │   │   │   ├── CPUBackendTest.cpp
    │   │   │   ├── CPUDeferredWeightLoaderTest.cpp
    │   │   │   ├── CPUDeviceManagerTest.cpp
    │   │   │   ├── CPUGradCheckTest.cpp
    │   │   │   ├── CPUGraphOptzTest.cpp
    │   │   │   ├── CPUHostManagerTest.cpp
    │   │   │   ├── CPUMLTest.cpp
    │   │   │   ├── CPUOperatorGradTest.cpp
    │   │   │   ├── CPUOperatorTest.cpp
    │   │   │   ├── CPUQuantizationTest.cpp
    │   │   │   ├── CPURecommendationSystemTest.cpp
    │   │   │   └── CPUTraceEventsTest.cpp
    │   ├── DeviceManagers.cpp
    │   ├── Habana
    │   │   ├── CMakeLists.txt
    │   │   ├── ClassGen
    │   │   │   ├── CMakeLists.txt
    │   │   │   ├── HabanaSpecificNodes.h
    │   │   │   └── HabanaSpecificNodesVerification.h
    │   │   ├── Habana.cpp
    │   │   ├── Habana.h
    │   │   ├── HabanaDeviceManager.cpp
    │   │   ├── HabanaDeviceManager.h
    │   │   ├── HabanaFactory.cpp
    │   │   ├── HabanaFunction.cpp
    │   │   ├── HabanaFunction.h
    │   │   ├── HabanaUtils.cpp
    │   │   ├── HabanaUtils.h
    │   │   ├── ONNX
    │   │   │   └── HabanaONNXModelWriter.cpp
    │   │   └── tests
    │   │   │   ├── HabanaBackendCorrectnessTest.cpp
    │   │   │   ├── HabanaBackendTest.cpp
    │   │   │   ├── HabanaDeferredWeightLoaderTest.cpp
    │   │   │   ├── HabanaDeviceManagerTest.cpp
    │   │   │   ├── HabanaGradCheckTest.cpp
    │   │   │   ├── HabanaGraphOptzTest.cpp
    │   │   │   ├── HabanaHostManagerTest.cpp
    │   │   │   ├── HabanaMLTest.cpp
    │   │   │   ├── HabanaOperatorGradTest.cpp
    │   │   │   ├── HabanaOperatorTest.cpp
    │   │   │   ├── HabanaQuantizationTest.cpp
    │   │   │   ├── HabanaRecommendationSystemTest.cpp
    │   │   │   └── HabanaTraceEventsTest.cpp
    │   ├── Interpreter
    │   │   ├── CMakeLists.txt
    │   │   ├── Interpreter.cpp
    │   │   ├── InterpreterDeviceManager.cpp
    │   │   ├── InterpreterFactory.cpp
    │   │   ├── InterpreterFunction.cpp
    │   │   ├── InterpreterNodes.cpp
    │   │   └── tests
    │   │   │   ├── InterpreterBackendCorrectnessTest.cpp
    │   │   │   ├── InterpreterBackendTest.cpp
    │   │   │   ├── InterpreterDeferredWeightLoaderTest.cpp
    │   │   │   ├── InterpreterDeviceManagerTest.cpp
    │   │   │   ├── InterpreterGradCheckTest.cpp
    │   │   │   ├── InterpreterGraphOptzTest.cpp
    │   │   │   ├── InterpreterHostManagerTest.cpp
    │   │   │   ├── InterpreterMLTest.cpp
    │   │   │   ├── InterpreterOperatorGradTest.cpp
    │   │   │   ├── InterpreterOperatorTest.cpp
    │   │   │   ├── InterpreterParameterSweepTest.cpp
    │   │   │   ├── InterpreterQuantizationTest.cpp
    │   │   │   ├── InterpreterRecommendationSystemTest.cpp
    │   │   │   ├── InterpreterTensorLayoutTest.cpp
    │   │   │   └── InterpreterTraceEventsTest.cpp
    │   ├── NNPI
    │   │   ├── BlockStream.cpp
    │   │   ├── BlockStream.h
    │   │   ├── CMakeLists.txt
    │   │   ├── ClassGen
    │   │   │   ├── CMakeLists.txt
    │   │   │   ├── NNPISpecificNodes.h
    │   │   │   ├── NNPISpecificNodesVerification.h
    │   │   │   └── NNPISpecificTypes.h
    │   │   ├── CustomKernels
    │   │   │   ├── CustomKernelInjector.h
    │   │   │   ├── DSPInjectors
    │   │   │   │   ├── CmpInt32Injector.cpp
    │   │   │   │   ├── DSPInjectorUtils.cpp
    │   │   │   │   ├── DSPInjectorUtils.h
    │   │   │   │   ├── DSPInjectors.cpp
    │   │   │   │   ├── DSPInjectors.h
    │   │   │   │   └── ReluInjector.cpp
    │   │   │   ├── GetNNPIKernels.cpp
    │   │   │   ├── GetNNPIKernels.h
    │   │   │   └── IAInjectors
    │   │   │   │   ├── IAInjectors.cpp
    │   │   │   │   └── IAInjectors.h
    │   │   ├── DebugMacros.h
    │   │   ├── Importer.cpp
    │   │   ├── Importer.h
    │   │   ├── InferenceContext.cpp
    │   │   ├── InferenceContext.h
    │   │   ├── InferencePool.cpp
    │   │   ├── InferencePool.h
    │   │   ├── NNPI.cpp
    │   │   ├── NNPI.h
    │   │   ├── NNPIAdapterContainer.cpp
    │   │   ├── NNPIAdapterContainer.h
    │   │   ├── NNPICompiledFunction.cpp
    │   │   ├── NNPICompiledFunction.h
    │   │   ├── NNPIDeviceManager.cpp
    │   │   ├── NNPIDeviceManager.h
    │   │   ├── NNPIFactory.cpp
    │   │   ├── NNPIMLTraceWrapper.cpp
    │   │   ├── NNPIMLTraceWrapper.h
    │   │   ├── NNPIOptions.cpp
    │   │   ├── NNPIOptions.h
    │   │   ├── NNPIResource.cpp
    │   │   ├── NNPIResource.h
    │   │   ├── NNPITracing.cpp
    │   │   ├── NNPITracing.h
    │   │   ├── NNPIUtils.cpp
    │   │   ├── NNPIUtils.h
    │   │   ├── NNPIUtils_AVX512.cpp
    │   │   ├── ONNX
    │   │   │   └── NNPIONNXModelWriter.cpp
    │   │   ├── SpecializedLookupTables.cpp
    │   │   └── tests
    │   │   │   ├── NNPIBackendCorrectnessTest.cpp
    │   │   │   ├── NNPIBackendTest.cpp
    │   │   │   ├── NNPIDeferredWeightLoaderTest.cpp
    │   │   │   ├── NNPIDeviceManagerTest.cpp
    │   │   │   ├── NNPIGradCheckTest.cpp
    │   │   │   ├── NNPIGraphOptzTest.cpp
    │   │   │   ├── NNPIHostManagerTest.cpp
    │   │   │   ├── NNPIMLTest.cpp
    │   │   │   ├── NNPINumericsTest.cpp
    │   │   │   ├── NNPIOperatorGradTest.cpp
    │   │   │   ├── NNPIOperatorTest.cpp
    │   │   │   ├── NNPIParameterSweepTest.cpp
    │   │   │   ├── NNPIQuantizationTest.cpp
    │   │   │   ├── NNPIRecommendationSystemTest.cpp
    │   │   │   ├── NNPISparseLengthsSumTest.cpp
    │   │   │   ├── NNPITraceEventsTest.cpp
    │   │   │   └── TestBlacklist.h
    │   └── OpenCL
    │   │   ├── CMakeLists.txt
    │   │   ├── ClassGen
    │   │       ├── CMakeLists.txt
    │   │       ├── OpenCLSpecificInstrs.h
    │   │       ├── OpenCLSpecificInstrsVerification.h
    │   │       ├── OpenCLSpecificNodes.h
    │   │       └── OpenCLSpecificNodesVerification.h
    │   │   ├── ONNX
    │   │       └── OpenCLONNXModelWriter.cpp
    │   │   ├── OpenCL.cpp
    │   │   ├── OpenCL.h
    │   │   ├── OpenCLDeviceManager.cpp
    │   │   ├── OpenCLDeviceManager.h
    │   │   ├── OpenCLFactory.cpp
    │   │   ├── OpenCLTensorLayout.cpp
    │   │   ├── OpenCLTensorLayout.h
    │   │   ├── Transforms.cpp
    │   │   ├── kernels.cl
    │   │   ├── kernels_fwd_conv.cl
    │   │   ├── kernels_fwd_quantized_conv.cl
    │   │   ├── kernels_specialized_no_local_mem_conv.cl
    │   │   └── tests
    │   │       ├── OpenCLBackendCorrectnessTest.cpp
    │   │       ├── OpenCLBackendTest.cpp
    │   │       ├── OpenCLDeferredWeightLoaderTest.cpp
    │   │       ├── OpenCLDeviceManagerTest.cpp
    │   │       ├── OpenCLDiskCacheTest.cmake
    │   │       ├── OpenCLGradCheckTest.cpp
    │   │       ├── OpenCLGraphOptzTest.cpp
    │   │       ├── OpenCLHostManagerTest.cpp
    │   │       ├── OpenCLMLTest.cpp
    │   │       ├── OpenCLOperatorGradTest.cpp
    │   │       ├── OpenCLOperatorTest.cpp
    │   │       ├── OpenCLQuantizationTest.cpp
    │   │       ├── OpenCLRecommendationSystemTest.cpp
    │   │       ├── OpenCLTensorLayoutTest.cpp
    │   │       └── OpenCLTraceEventsTest.cpp
    ├── Base
    │   ├── CMakeLists.txt
    │   ├── IO.cpp
    │   ├── Image.cpp
    │   ├── NumpyReader.cpp
    │   ├── TaggedList.cpp
    │   ├── Tensor.cpp
    │   ├── TensorSerialization.cpp
    │   └── Type.cpp
    ├── CMakeLists.txt
    ├── CodeGen
    │   ├── CMakeLists.txt
    │   └── MemoryAllocator.cpp
    ├── Converter
    │   ├── CMakeLists.txt
    │   ├── Float16Converter.cpp
    │   ├── FunctionConverter.cpp
    │   ├── FusedRowwiseConverter.cpp
    │   └── TypeAToTypeBFunctionConverter.cpp
    ├── ExecutionContext
    │   ├── CMakeLists.txt
    │   └── TraceEvents.cpp
    ├── ExecutionEngine
    │   ├── CMakeLists.txt
    │   └── ExecutionEngine.cpp
    ├── Exporter
    │   ├── CMakeLists.txt
    │   ├── ONNXModelWriter.cpp
    │   └── ProtobufWriter.cpp
    ├── Flags
    │   ├── CMakeLists.txt
    │   └── Flags.cpp
    ├── Graph
    │   ├── CMakeLists.txt
    │   ├── FXIRUtils.cpp
    │   ├── FXIRWrapper.cpp
    │   ├── Grad.cpp
    │   ├── Graph.cpp
    │   ├── Hook.cpp
    │   ├── Log.cpp
    │   ├── Node.cpp
    │   ├── NodeValue.cpp
    │   ├── Nodes.cpp
    │   ├── PlaceholderBindings.cpp
    │   ├── TensorLayout.cpp
    │   └── VerifierHelper.cpp
    ├── IR
    │   ├── CMakeLists.txt
    │   ├── ChildMemSizeBasedScheduler.cpp
    │   ├── GraphScheduler.cpp
    │   ├── GraphScheduler.h
    │   ├── IR.cpp
    │   ├── IRBuilder.cpp
    │   ├── IRGen.cpp
    │   ├── IRUtils.cpp
    │   ├── Instrs.cpp
    │   └── TopologicalSortBasedScheduler.cpp
    ├── Importer
    │   ├── CMakeLists.txt
    │   ├── Caffe2ModelLoader.cpp
    │   ├── ONNXIFIModelLoader.cpp
    │   ├── ONNXModelLoader.cpp
    │   ├── ProtobufLoader.cpp
    │   ├── TFLiteModelLoader.cpp
    │   └── caffe2.proto
    ├── LLVMIRCodeGen
    │   ├── AllocationsInfo.cpp
    │   ├── BundleSaver.cpp
    │   ├── CMakeLists.txt
    │   ├── CommandLine.cpp
    │   ├── DebugInfo.cpp
    │   ├── DebugInstrumentation.cpp
    │   ├── FunctionSpecializer.cpp
    │   ├── GlowJIT.cpp
    │   ├── JITFilePrinter.cpp
    │   ├── LLVMBackend.cpp
    │   ├── LLVMCompiledFunction.cpp
    │   ├── LLVMIRGen.cpp
    │   ├── Pipeline.cpp
    │   └── libjit
    │   │   ├── libjit.cpp
    │   │   ├── libjit_conv.cpp
    │   │   ├── libjit_defs.h
    │   │   ├── libjit_dim_t.h
    │   │   └── libjit_matmul.cpp
    ├── Onnxifi
    │   ├── Base.cpp
    │   ├── Base.h
    │   ├── CMakeLists.txt
    │   ├── GlowOnnxifiManager.cpp
    │   ├── GlowOnnxifiManager.h
    │   ├── HostManagerOnnxifi.cpp
    │   ├── HostManagerOnnxifi.h
    │   ├── InlineOnnxifi.cpp
    │   ├── InlineOnnxifi.h
    │   └── onnxifiGlow.cpp
    ├── Optimizer
    │   ├── CMakeLists.txt
    │   ├── GraphOptimizer
    │   │   ├── CMakeLists.txt
    │   │   ├── ConstantFolding.cpp
    │   │   ├── FunctionPassManager.cpp
    │   │   ├── GraphOptimizer.cpp
    │   │   ├── Lower.cpp
    │   │   ├── NodeSplitting.cpp
    │   │   ├── Quantization.cpp
    │   │   └── TrainingPreparation.cpp
    │   ├── GraphOptimizerPipeline
    │   │   ├── CMakeLists.txt
    │   │   └── FunctionPassPipeline.cpp
    │   ├── IROptimizer
    │   │   ├── CMakeLists.txt
    │   │   ├── IRFunctionPassManager.cpp
    │   │   ├── IRInstrumentation.cpp
    │   │   └── IROptimizer.cpp
    │   ├── IROptimizerPipeline
    │   │   ├── CMakeLists.txt
    │   │   ├── CommandLine.cpp
    │   │   └── IRFunctionPassPipeline.cpp
    │   └── Lower
    │   │   ├── CMakeLists.txt
    │   │   └── Lower.cpp
    ├── Partitioner
    │   ├── CMakeLists.txt
    │   ├── Partitioner.cpp
    │   ├── PartitionerBase.cpp
    │   ├── PartitionerOptimizer.cpp
    │   ├── PartitionerUtils.cpp
    │   └── PartitionerValidation.cpp
    ├── PassManager
    │   ├── CMakeLists.txt
    │   ├── PassConfig.cpp
    │   ├── PassManager.cpp
    │   └── PassPipeline.cpp
    ├── Quantization
    │   ├── Base
    │   │   ├── Base.cpp
    │   │   ├── CMakeLists.txt
    │   │   ├── Calibration.cpp
    │   │   └── Profile.cpp
    │   ├── CMakeLists.txt
    │   ├── Quantization.cpp
    │   └── Serialization.cpp
    ├── Runtime
    │   ├── CMakeLists.txt
    │   ├── DeferredWeightLoader.cpp
    │   ├── DeviceHealthMonitor.cpp
    │   ├── ErrorReporter.cpp
    │   ├── Executor
    │   │   ├── CMakeLists.txt
    │   │   ├── NetworkExecutionState.cpp
    │   │   └── ThreadPoolExecutor.cpp
    │   ├── HostManager
    │   │   ├── CMakeLists.txt
    │   │   └── HostManager.cpp
    │   ├── InputSanitizer.cpp
    │   ├── Provisioner
    │   │   ├── CMakeLists.txt
    │   │   └── Provisioner.cpp
    │   ├── StatsExporter.cpp
    │   └── TraceExporter.cpp
    └── Support
    │   ├── CMakeLists.txt
    │   ├── Debug.cpp
    │   ├── Error.cpp
    │   ├── Random.cpp
    │   ├── Support.cpp
    │   ├── TensorPool
    │       ├── CMakeLists.txt
    │       └── TensorPool.cpp
    │   ├── ThreadPool.cpp
    │   └── ZipUtils.cpp
├── tests
    ├── CMakeLists.txt
    ├── Testing
    │   ├── CMakeLists.txt
    │   └── StrCheck.cpp
    ├── benchmark
    │   ├── AddBench.cpp
    │   ├── BERTProxyLayerBench.cpp
    │   ├── BatchGemmBench.cpp
    │   ├── Bench.h
    │   ├── CMakeLists.txt
    │   ├── CommonSLSEB.h
    │   ├── ConcatBench.cpp
    │   ├── ConvBench.cpp
    │   ├── ConvUtils.h
    │   ├── EmbeddingBagBench.cpp
    │   ├── GatherBench.cpp
    │   ├── GemmBench.cpp
    │   ├── GemmParallelBench.cpp
    │   ├── Int8AvgPool2dParallelBench.cpp
    │   ├── Int8Conv2dParallelBench.cpp
    │   ├── Int8Conv3dParallelBench.cpp
    │   ├── Int8GemmBench.cpp
    │   ├── Int8GemmBench.h
    │   ├── Int8GemmParallelBench.cpp
    │   ├── ResNetBench.cpp
    │   ├── RuntimeBench.cpp
    │   ├── SLSBench.cpp
    │   ├── TBEBench.cpp
    │   └── TransposeBench.cpp
    ├── examples_tests
    │   └── resnet-runtime-test.sh
    ├── images
    │   ├── CMakeLists.txt
    │   ├── EmotionSampleImages
    │   │   ├── README
    │   │   ├── angry_baby.png
    │   │   ├── angry_man.png
    │   │   ├── fear.png
    │   │   ├── happy.png
    │   │   ├── neutral.png
    │   │   ├── neutral_girl.png
    │   │   ├── sad_baby.png
    │   │   ├── sad_baby2.png
    │   │   ├── surprised_boy.png
    │   │   └── surprised_woman.png
    │   ├── imagenet
    │   │   ├── cat_285.png
    │   │   ├── dog_207.png
    │   │   └── zebra_340.png
    │   ├── imagenet_299
    │   │   ├── cat_281_299.png
    │   │   ├── dog_207_299.png
    │   │   └── zebra_340_299.png
    │   ├── mnist
    │   │   ├── 0_1009.png
    │   │   ├── 1_1008.png
    │   │   ├── 2_1065.png
    │   │   ├── 3_1020.png
    │   │   ├── 4_1059.png
    │   │   ├── 5_1087.png
    │   │   ├── 6_1099.png
    │   │   ├── 7_1055.png
    │   │   ├── 8_1026.png
    │   │   └── 9_1088.png
    │   ├── npy
    │   │   ├── cat_285_i8_224.npy
    │   │   ├── cat_285_u8_224.npy
    │   │   ├── input1List_3D.txt
    │   │   ├── input1List_3D_f32.txt
    │   │   ├── input1List_3D_f32_2.txt
    │   │   ├── input1List_3D_i16.txt
    │   │   ├── input1List_3D_u16.txt
    │   │   ├── input1List_4D.txt
    │   │   ├── input2List_3D.txt
    │   │   ├── input2List_3D_2.txt
    │   │   ├── input2List_3D_f32.txt
    │   │   ├── input2List_3D_f32_2.txt
    │   │   ├── input2List_3D_i16.txt
    │   │   ├── input2List_3D_u16.txt
    │   │   ├── input2List_4D.txt
    │   │   ├── tensor10_i64.npy
    │   │   ├── tensor16_i16.npy
    │   │   ├── tensor16_u16.npy
    │   │   ├── tensor1x2x3x8_u8.npy
    │   │   ├── tensor1x4x2x2_u8.npy
    │   │   ├── tensor1x4x2x2x3_f32.npy
    │   │   ├── tensor2x3x8_u8.npy
    │   │   ├── tensor3x16_u8.npy
    │   │   ├── tensor3x4x2_i8.npy
    │   │   ├── tensor3x4x2_u32.npy
    │   │   ├── tensor3x4x2_u8.npy
    │   │   ├── tensor3x4x2x2_i8.npy
    │   │   ├── tensor3x4x2x2_u16.npy
    │   │   ├── tensor3x4x2x2_u8.npy
    │   │   ├── tensor48_i8.npy
    │   │   ├── tensor48_u8.npy
    │   │   ├── tensor_1x2x4_f32.npy
    │   │   ├── tensor_1x2x4_f32_2.npy
    │   │   ├── tensor_1x2x4_i16.npy
    │   │   ├── tensor_1x2x4_i16_2.npy
    │   │   ├── tensor_1x2x4_u16.npy
    │   │   ├── tensor_1x2x4_u8.npy
    │   │   ├── tensor_1x2x4x4_u8.npy
    │   │   └── tensor_2x4x4_u8.npy
    │   ├── other
    │   │   ├── corrupt_dog.png
    │   │   ├── tensor_2x4x3.png
    │   │   └── vga_image.png
    │   ├── ppm
    │   │   └── cat_285.ppm
    │   └── run.sh
    ├── models
    │   ├── CMakeLists.txt
    │   ├── caffe2Models
    │   │   ├── 4bit_fused_rowwise_quantized_sparse_lengths_sum_init_net.pbtxt
    │   │   ├── 4bit_fused_rowwise_quantized_sparse_lengths_sum_predict_net.pbtxt
    │   │   ├── NCHW2NHWC_predict_net.pbtxt
    │   │   ├── alias_op_net.pbtxt
    │   │   ├── argmin.pbtxt
    │   │   ├── avgpool_nhwc_predict_net.pbtxt
    │   │   ├── avgpool_predict_net.pbtxt
    │   │   ├── batch_box_cox_predict_net.pbtxt
    │   │   ├── batch_sparse_to_dense_last_dim_1.pbtxt
    │   │   ├── batched_matmul.pbtxt
    │   │   ├── bucketize_op_net.pbtxt
    │   │   ├── cast_int64_to_int64.pbtxt
    │   │   ├── clip_op_default_net.pbtxt
    │   │   ├── clip_op_net.pbtxt
    │   │   ├── concat_add_axis_at_edge.pbtxt
    │   │   ├── concat_add_axis_predict_net.pbtxt
    │   │   ├── concat_predict_net.pbtxt
    │   │   ├── constant_fill_input_as_shape.pbtxt
    │   │   ├── constant_fill_input_as_shape_init.pbtxt
    │   │   ├── constant_fill_use_input_shape.pbtxt
    │   │   ├── constant_fill_use_provided_shape.pbtxt
    │   │   ├── conv_group_quantized_init_net.pbtxt
    │   │   ├── conv_group_quantized_pred_net.pbtxt
    │   │   ├── conv_nhwc_init_net.pbtxt
    │   │   ├── conv_nhwc_predict_net.pbtxt
    │   │   ├── convrelu_init_net.pbtxt
    │   │   ├── convrelu_pred_net.pbtxt
    │   │   ├── convtranspose.pbtxt
    │   │   ├── convtranspose_init.pbtxt
    │   │   ├── convtranspose_net.pbtxt
    │   │   ├── convtranspose_nhwc.pbtxt
    │   │   ├── convtranspose_nhwc_init.pbtxt
    │   │   ├── convtranspose_pads.pbtxt
    │   │   ├── dce_test_init_net.pbtxt
    │   │   ├── dce_test_predict_net.pbtxt
    │   │   ├── dot_product_predict_net.pbtxt
    │   │   ├── dropout.pbtxt
    │   │   ├── dynamic_quantized_fc_init.pbtxt
    │   │   ├── dynamic_quantized_fc_predict_net.pbtxt
    │   │   ├── elementwise_linear_broadcast_net.pbtxt
    │   │   ├── elementwise_linear_default_net.pbtxt
    │   │   ├── elementwise_linear_net.pbtxt
    │   │   ├── empty_init_net.pbtxt
    │   │   ├── empty_predict_net.pbtxt
    │   │   ├── eq_op_net.pbtxt
    │   │   ├── exp_op_net.pbtxt
    │   │   ├── fbfcpacked_3d_second_axis_init.pbtxt
    │   │   ├── fbfcpacked_3d_second_axis_predict.pbtxt
    │   │   ├── fbfcpacked_4d_first_axis_init_net.pbtxt
    │   │   ├── fbfcpacked_4d_first_axis_predict_net.pbtxt
    │   │   ├── fcTransposed_4d_init_net.pbtxt
    │   │   ├── fcTransposed_4d_predict_net.pbtxt
    │   │   ├── fcTransposed_init_net.pbtxt
    │   │   ├── fcTransposed_predict_net.pbtxt
    │   │   ├── fc_3d_second_axis_init.pbtxt
    │   │   ├── fc_3d_second_axis_predict.pbtxt
    │   │   ├── fc_4d_first_axis_init_net.pbtxt
    │   │   ├── fc_4d_first_axis_predict_net.pbtxt
    │   │   ├── fc_4d_init_net.pbtxt
    │   │   ├── fc_4d_predict_net.pbtxt
    │   │   ├── fc_init_net.pbtxt
    │   │   ├── fc_predict_net.pbtxt
    │   │   ├── fill_examples_with_indicator.pbtxt
    │   │   ├── fill_test_init_net.pbtxt
    │   │   ├── fill_test_predict_net.pbtxt
    │   │   ├── fused_rowwise_quantized_sparse_lengths_sum_init_net.pbtxt
    │   │   ├── fused_rowwise_quantized_sparse_lengths_sum_predict_net.pbtxt
    │   │   ├── fused_rowwise_quantized_sparse_lengths_sum_predict_net_length1.pbtxt
    │   │   ├── fused_rowwise_quantized_sparse_lengths_weighted_sum_avg_length_predict_net.pbtxt
    │   │   ├── fused_rowwise_quantized_sparse_lengths_weighted_sum_init_net.pbtxt
    │   │   ├── fused_rowwise_quantized_sparse_lengths_weighted_sum_predict_net.pbtxt
    │   │   ├── gather_const_fold.pbtxt
    │   │   ├── gather_const_fold_init.pbtxt
    │   │   ├── gather_ranges.pbtxt
    │   │   ├── gaussian_fill_input_as_shape.pbtxt
    │   │   ├── gaussian_fill_input_as_shape_init.pbtxt
    │   │   ├── gaussian_fill_use_input_shape.pbtxt
    │   │   ├── gaussian_fill_use_input_shape_with_extra_shape.pbtxt
    │   │   ├── gaussian_fill_use_provided_shape.pbtxt
    │   │   ├── gelu.pbtxt
    │   │   ├── halftofloat_op_net.pbtxt
    │   │   ├── init_net.pbtxt
    │   │   ├── int8convrelu_init_net.pbtxt
    │   │   ├── int8convrelu_pred_net.pbtxt
    │   │   ├── int8fc_3d_second_axis_init.pbtxt
    │   │   ├── int8fc_3d_second_axis_predict.pbtxt
    │   │   ├── int8fc_4d_first_axis_init_net.pbtxt
    │   │   ├── int8fc_4d_first_axis_predict_net.pbtxt
    │   │   ├── int8sumrelu_init_net.pbtxt
    │   │   ├── int8sumrelu_large_range_init_net.pbtxt
    │   │   ├── int8sumrelu_large_range_pred_net.pbtxt
    │   │   ├── int8sumrelu_pred_net.pbtxt
    │   │   ├── int8sumrelu_tiny_scale_init_net.pbtxt
    │   │   ├── int8sumrelu_tiny_scale_pred_net.pbtxt
    │   │   ├── layernorm_neg_axis_pred_net.pbtxt
    │   │   ├── layernorm_pred_net.pbtxt
    │   │   ├── layernorm_weight_bias_init_net.pbtxt
    │   │   ├── layernorm_weight_bias_pred_net.pbtxt
    │   │   ├── lengths_range_fill_predict_net.pbtxt
    │   │   ├── lengths_sum.pbtxt
    │   │   ├── lengths_to_ranges.pbtxt
    │   │   ├── lengths_to_ranges_init_net.pbtxt
    │   │   ├── log1p.pbtxt
    │   │   ├── logit_op_net.pbtxt
    │   │   ├── lpnorm_p1.pbtxt
    │   │   ├── lpnorm_p2.pbtxt
    │   │   ├── matmul_trans_RHS_predict_net.pbtxt
    │   │   ├── maxpool_legacy_padding_predict_net.pbtxt
    │   │   ├── maxpool_nhwc_predict_net.pbtxt
    │   │   ├── maxpool_predict_net.pbtxt
    │   │   ├── mean_3inputs.pbtxt
    │   │   ├── modulo_op_net.pbtxt
    │   │   ├── multiple_inputs_graph.pbtxt
    │   │   ├── negative.pbtxt
    │   │   ├── parallel_matmul_predict_net.pbtxt
    │   │   ├── pre_partitioned_fill_test_predict_net.pbtxt
    │   │   ├── pre_partitioned_multi_op_predict_net.pbtxt
    │   │   ├── predict_net.pbtxt
    │   │   ├── prelu.pbtxt
    │   │   ├── reduce_back_sum.pbtxt
    │   │   ├── reducebackmean.pbtxt
    │   │   ├── replace_nan_predict_net.pbtxt
    │   │   ├── resize_nearest_op_net.pbtxt
    │   │   ├── rmsnorm.pbtxt
    │   │   ├── rowwise_quantized_sparse_lengths_sum_init_net.pbtxt
    │   │   ├── rowwise_quantized_sparse_lengths_sum_predict_net.pbtxt
    │   │   ├── rowwise_quantized_sparse_lengths_weighted_sum_init_net.pbtxt
    │   │   ├── rowwise_quantized_sparse_lengths_weighted_sum_predict_net.pbtxt
    │   │   ├── scale.pbtxt
    │   │   ├── sigmoid.pbtxt
    │   │   ├── sign.pbtxt
    │   │   ├── softplus.pbtxt
    │   │   ├── sparse_to_dense.pbtxt
    │   │   ├── sparse_to_dense_mask_op_net.pbtxt
    │   │   ├── sparselabelsplit.pbtxt
    │   │   ├── sqr_predict_net.pbtxt
    │   │   ├── swish_op_net.pbtxt
    │   │   ├── topk_k2.pbtxt
    │   │   ├── uniform_fill_input_as_shape.pbtxt
    │   │   └── uniform_fill_use_input_shape.pbtxt
    │   ├── onnxModels
    │   │   ├── Acos.onnxtxt
    │   │   ├── ArgMaxDefault.onnxtxt
    │   │   ├── ArgMaxKeepDim.onnxtxt
    │   │   ├── ArgMaxNoKeepDim.onnxtxt
    │   │   ├── ArgMinDefault.onnxtxt
    │   │   ├── ArgMinKeepDim.onnxtxt
    │   │   ├── ArgMinNoKeepDim.onnxtxt
    │   │   ├── Asin.onnxtxt
    │   │   ├── Atan.onnxtxt
    │   │   ├── CmpLTE.onnxtxt
    │   │   ├── Cos.onnxtxt
    │   │   ├── Equal.onnxtxt
    │   │   ├── Erf.onnxtxt
    │   │   ├── FCTransposed.onnxtxt
    │   │   ├── IntermediateOutput.onnxtxt
    │   │   ├── Less.onnxtxt
    │   │   ├── MatMul4D.onnxtxt
    │   │   ├── Mean.onnxtxt
    │   │   ├── Mean_broadcast.onnxtxt
    │   │   ├── NonMaxSuppression.onnxtxt
    │   │   ├── NonMaxSuppressionOptionalParams.onnxtxt
    │   │   ├── NonMaxSuppressionSSD.onnxtxt
    │   │   ├── NonMaxSuppressionSSD_ONNX.onnxtxt
    │   │   ├── NonZero.onnxtxt
    │   │   ├── QuantizeLinearDequantizeLinear.onnxtxt
    │   │   ├── ROIAlign_onnx.onnxtxt
    │   │   ├── RangeFloat.onnxtxt
    │   │   ├── RangeInt32.onnxtxt
    │   │   ├── ReduceL2KeepDims.onnxtxt
    │   │   ├── ReduceL2NegAxis.onnxtxt
    │   │   ├── ReduceL2NoAxis.onnxtxt
    │   │   ├── ReduceL2NoKeepDims.onnxtxt
    │   │   ├── Sin.onnxtxt
    │   │   ├── TopK.onnxtxt
    │   │   ├── UniBroadcastIssue2135.onnxtxt
    │   │   ├── Where.onnxtxt
    │   │   ├── abs.onnxtxt
    │   │   ├── addMultiBroadcastOp7.onnxtxt
    │   │   ├── addUniBroadcastOp6Axis.onnxtxt
    │   │   ├── addUniBroadcastOp6NoAxis.onnxtxt
    │   │   ├── add_2inputs_3D.onnx
    │   │   ├── add_2inputs_4D.onnx
    │   │   ├── audioSpectrogramNonSquared.onnxtxt
    │   │   ├── audioSpectrogramOneWindow.onnxtxt
    │   │   ├── audioSpectrogramTwoWindow.onnxtxt
    │   │   ├── averagePool2DAutoPadSameLower.onnxtxt
    │   │   ├── averagePool2DAutoPadSameUpper.onnxtxt
    │   │   ├── averagePool2DAutoPadValid.onnxtxt
    │   │   ├── averagePool2DCountExcludePads.onnxtxt
    │   │   ├── averagePool3D.onnxtxt
    │   │   ├── batchBoxCox.onnxtxt
    │   │   ├── batchNormPR2304.onnxtxt
    │   │   ├── batch_matmul.onnxtxt
    │   │   ├── bool_from_int.onnxtxt
    │   │   ├── castInt-32-64.onnxtxt
    │   │   ├── castToBool.onnxtxt
    │   │   ├── castToFloat.onnxtxt
    │   │   ├── castToFloat16.onnxtxt
    │   │   ├── castToInt32.onnxtxt
    │   │   ├── castToInt64.onnxtxt
    │   │   ├── ceil.onnxtxt
    │   │   ├── clip.onnxtxt
    │   │   ├── clip_default.onnxtxt
    │   │   ├── clipv11.onnxtxt
    │   │   ├── constRelu.onnxtxt
    │   │   ├── constant.onnxtxt
    │   │   ├── constantOfShape.onnxtxt
    │   │   ├── constantOfShapeInt32.onnxtxt
    │   │   ├── constantOfShapeInt32Fail.onnxtxt
    │   │   ├── constantOfShapeInt64.onnxtxt
    │   │   ├── constantOfShapeInt64Fail.onnxtxt
    │   │   ├── conv1D.onnxtxt
    │   │   ├── convPadNotset.onnxtxt
    │   │   ├── convTransposeAsymmetric.onnxtxt
    │   │   ├── convTransposeGroup.onnxtxt
    │   │   ├── cumsum.onnxtxt
    │   │   ├── depthToSpace.onnxtxt
    │   │   ├── depthToSpace_crd.onnxtxt
    │   │   ├── dim32
    │   │   │   └── sparseToDense.onnxtxt
    │   │   ├── dimParam.onnxtxt
    │   │   ├── divMultiBroadcastOp7.onnxtxt
    │   │   ├── divUniBroadcastOp6Axis.onnxtxt
    │   │   ├── divUniBroadcastOp6NoAxis.onnxtxt
    │   │   ├── dot_product.onnxtxt
    │   │   ├── exp.onnxtxt
    │   │   ├── expandDims.onnxtxt
    │   │   ├── expandnodeDiffShape.onnxtxt
    │   │   ├── expandnodeSameShape.onnxtxt
    │   │   ├── flipNoAxis.onnxtxt
    │   │   ├── flipWithAxis.onnxtxt
    │   │   ├── floor.onnxtxt
    │   │   ├── fp16FullyConnected.onnxtxt
    │   │   ├── fusedSLWS.onnxtxt
    │   │   ├── gather.onnxtxt
    │   │   ├── gatherConstantFolding.onnxtxt
    │   │   ├── gatherND.onnxtxt
    │   │   ├── gatherranges.onnxtxt
    │   │   ├── gemmBatchedC.onnxtxt
    │   │   ├── gemmNoC.onnxtxt
    │   │   ├── gemmSingleC.onnxtxt
    │   │   ├── gemmTransA.onnxtxt
    │   │   ├── gemmTransB.onnxtxt
    │   │   ├── getInputsOnnxDefineSample.onnxtxt
    │   │   ├── glow_custom_dag_multi_op.onnxtxt
    │   │   ├── glow_custom_op_channelwise_quantized_group_conv.onnxtxt
    │   │   ├── glow_custom_op_node_opts.onnxtxt
    │   │   ├── glow_custom_op_topk_quantized.onnxtxt
    │   │   ├── glow_custom_with_strides.onnxtxt
    │   │   ├── gruBidirectional.onnxtxt
    │   │   ├── gruForward.onnxtxt
    │   │   ├── gruForwardLinearBeforeReset.onnxtxt
    │   │   ├── gruForwardNoBias.onnxtxt
    │   │   ├── gruForwardNoState.onnxtxt
    │   │   ├── gruReverse.onnxtxt
    │   │   ├── hardsigmoid.onnxtxt
    │   │   ├── if_false.onnxtxt
    │   │   ├── if_true.onnxtxt
    │   │   ├── instNorm.onnxtxt
    │   │   ├── leakyRelu.onnxtxt
    │   │   ├── leakyReluDefault.onnxtxt
    │   │   ├── legalizeNames.onnxtxt
    │   │   ├── lengths_sum.onnxtxt
    │   │   ├── lengths_to_ranges.onnxtxt
    │   │   ├── log.onnxtxt
    │   │   ├── logicalAnd.onnxtxt
    │   │   ├── logicalAndBcast.onnxtxt
    │   │   ├── logicalNot.onnxtxt
    │   │   ├── logicalOr.onnxtxt
    │   │   ├── logicalOrBcast.onnxtxt
    │   │   ├── logicalXor.onnxtxt
    │   │   ├── logicalXorBcast.onnxtxt
    │   │   ├── logsoftmax.onnxtxt
    │   │   ├── loop_cond.onnxtxt
    │   │   ├── loop_empty_tripcount.onnxtxt
    │   │   ├── loop_emptycond.onnxtxt
    │   │   ├── loop_no_iteration.onnxtxt
    │   │   ├── loop_static.onnxtxt
    │   │   ├── loop_tripcount.onnxtxt
    │   │   ├── loop_withoutN.onnxtxt
    │   │   ├── lstmBidirectional.onnxtxt
    │   │   ├── lstmForward.onnxtxt
    │   │   ├── lstmForwardInputForget.onnxtxt
    │   │   ├── lstmForwardNoBias.onnxtxt
    │   │   ├── lstmForwardNoState.onnxtxt
    │   │   ├── lstmForwardWithPeephole.onnxtxt
    │   │   ├── lstmReverse.onnxtxt
    │   │   ├── matmul.onnxtxt
    │   │   ├── maxPool1D.onnxtxt
    │   │   ├── maxPoolWithArgmax.onnxtxt
    │   │   ├── mfccOneWindow.onnxtxt
    │   │   ├── mfccTwoWindow.onnxtxt
    │   │   ├── mscatterND.onnxtxt
    │   │   ├── mulMultiBroadcastOp7.onnxtxt
    │   │   ├── mulUniBroadcastOp6Axis.onnxtxt
    │   │   ├── mulUniBroadcastOp6NoAxis.onnxtxt
    │   │   ├── multipleInputsGraph.onnxtxt
    │   │   ├── neg.onnxtxt
    │   │   ├── padConstant.onnxtxt
    │   │   ├── padConstantInput.onnxtxt
    │   │   ├── padConstantPositive.onnxtxt
    │   │   ├── padDefault.onnxtxt
    │   │   ├── padDefaultInputPad.onnxtxt
    │   │   ├── padEdge.onnxtxt
    │   │   ├── padReflect.onnxtxt
    │   │   ├── powMultiBroadcastOp7.onnxtxt
    │   │   ├── pow_array_broadcast.onnxtxt
    │   │   ├── pow_element_wise.onnxtxt
    │   │   ├── pow_scalar_broadcast.onnxtxt
    │   │   ├── preluBroadcastSlope.onnxtxt
    │   │   ├── preluInvalidBroadcastSlope.onnxtxt
    │   │   ├── preluSlopeHasSameShape.onnxtxt
    │   │   ├── reduceMax.onnxtxt
    │   │   ├── reduceMaxDefaultAxis.onnxtxt
    │   │   ├── reduceMaxNoKeep.onnxtxt
    │   │   ├── reduceMean2AvgPool.onnxtxt
    │   │   ├── reduceMean2AvgPoolNoKeep.onnxtxt
    │   │   ├── reduceMean4Dto3D.onnxtxt
    │   │   ├── reduceMean4Dto4D.onnxtxt
    │   │   ├── reduceMin.onnxtxt
    │   │   ├── reduceMinDefaultAxis.onnxtxt
    │   │   ├── reduceMinNoKeep.onnxtxt
    │   │   ├── reduceProd.onnxtxt
    │   │   ├── reduceSum4D.onnxtxt
    │   │   ├── reduceSumSquare4D.onnxtxt
    │   │   ├── replaceNaN.onnxtxt
    │   │   ├── resizeBilinear.onnxtxt
    │   │   ├── resizeBilinearV11compat.onnxtxt
    │   │   ├── resizeBilinearV11compat_sizes.onnxtxt
    │   │   ├── resizeNearest.onnxtxt
    │   │   ├── resizeNearestV11compat.onnxtxt
    │   │   ├── resizeNearestV11compat_sizes.onnxtxt
    │   │   ├── rnnBidirectional.onnxtxt
    │   │   ├── rnnForward.onnxtxt
    │   │   ├── rnnForwardNoBias.onnxtxt
    │   │   ├── rnnForwardNoState.onnxtxt
    │   │   ├── rnnReverse.onnxtxt
    │   │   ├── scatterND.onnxtxt
    │   │   ├── shape.onnxtxt
    │   │   ├── sign.onnxtxt
    │   │   ├── simpleConv.onnxtxt
    │   │   ├── simpleConv3D.onnxtxt
    │   │   ├── simpleConv3DAutoPadSameLower.onnxtxt
    │   │   ├── simpleConv3DAutoPadSameUpper.onnxtxt
    │   │   ├── simpleConv3DAutoPadValid.onnxtxt
    │   │   ├── simpleConv3DNonCubicPads.onnxtxt
    │   │   ├── simpleConv3DNonSquareDilation.onnxtxt
    │   │   ├── simpleConvAutoPadSameLower.onnxtxt
    │   │   ├── simpleConvAutoPadSameUpper.onnxtxt
    │   │   ├── simpleConvAutoPadValid.onnxtxt
    │   │   ├── simpleConvBiasFail.onnxtxt
    │   │   ├── simpleConvNonSquareDilation.onnxtxt
    │   │   ├── simpleConvTranspose.onnxtxt
    │   │   ├── simpleConvTransposeAutoPadSameLower.onnxtxt
    │   │   ├── simpleConvTransposeAutoPadSameUpper.onnxtxt
    │   │   ├── simpleConvTransposeAutoPadValid.onnxtxt
    │   │   ├── simpleConvTransposeOutShape.onnxtxt
    │   │   ├── simpleConvTransposeOutShapeDilation.onnxtxt
    │   │   ├── simpleConvTransposeOutShapeSameLower.onnxtxt
    │   │   ├── simpleConvTransposeOutShapeSameUpper.onnxtxt
    │   │   ├── simpleConvTransposePads.onnxtxt
    │   │   ├── sliceAxesAnyOrder.onnxtxt
    │   │   ├── sliceAxesFull.onnxtxt
    │   │   ├── sliceAxesOverwrite.onnxtxt
    │   │   ├── sliceAxesPartial.onnxtxt
    │   │   ├── sliceDynamic.onnxtxt
    │   │   ├── sliceInvalidAxes.onnxtxt
    │   │   ├── sliceNoAxes.onnxtxt
    │   │   ├── sliceWithStep.onnxtxt
    │   │   ├── sliceWithUnsupportedStep.onnxtxt
    │   │   ├── softmax11.onnxtxt
    │   │   ├── softmax13.onnxtxt
    │   │   ├── spaceToDepth.onnxtxt
    │   │   ├── sparseLengthsSum.onnxtxt
    │   │   ├── sparseToDense.onnxtxt
    │   │   ├── subMultiBroadcastOp7.onnxtxt
    │   │   ├── subUniBroadcastOp6Axis.onnxtxt
    │   │   ├── subUniBroadcastOp6NoAxis.onnxtxt
    │   │   ├── sum1.onnxtxt
    │   │   ├── sumN.onnxtxt
    │   │   ├── tile.onnxtxt
    │   │   ├── transpose_null_perm.onnxtxt
    │   │   ├── upsampleOpset7.onnxtxt
    │   │   └── upsampleOpset9.onnxtxt
    │   ├── pytorchModels
    │   │   └── resnet18.pt
    │   └── tfliteModels
    │   │   ├── abs.inp0
    │   │   ├── abs.out0
    │   │   ├── abs.tflite
    │   │   ├── add.inp0
    │   │   ├── add.inp1
    │   │   ├── add.out0
    │   │   ├── add.tflite
    │   │   ├── add_broadcast.inp0
    │   │   ├── add_broadcast.inp1
    │   │   ├── add_broadcast.out0
    │   │   ├── add_broadcast.tflite
    │   │   ├── arg_max.inp0
    │   │   ├── arg_max.out0
    │   │   ├── arg_max.tflite
    │   │   ├── arg_min.inp0
    │   │   ├── arg_min.out0
    │   │   ├── arg_min.tflite
    │   │   ├── avgpool2d_same.inp0
    │   │   ├── avgpool2d_same.out0
    │   │   ├── avgpool2d_same.tflite
    │   │   ├── avgpool2d_valid.inp0
    │   │   ├── avgpool2d_valid.out0
    │   │   ├── avgpool2d_valid.tflite
    │   │   ├── batchToSpaceNd.inp0
    │   │   ├── batchToSpaceNd.out0
    │   │   ├── batchToSpaceNd.tflite
    │   │   ├── cast_f32_to_int32.inp0
    │   │   ├── cast_f32_to_int32.out0
    │   │   ├── cast_f32_to_int32.tflite
    │   │   ├── ceil.inp0
    │   │   ├── ceil.out0
    │   │   ├── ceil.tflite
    │   │   ├── concat.inp0
    │   │   ├── concat.inp1
    │   │   ├── concat.out0
    │   │   ├── concat.tflite
    │   │   ├── concat_neg_axis.inp0
    │   │   ├── concat_neg_axis.inp1
    │   │   ├── concat_neg_axis.out0
    │   │   ├── concat_neg_axis.tflite
    │   │   ├── conv2d_relu.inp0
    │   │   ├── conv2d_relu.out0
    │   │   ├── conv2d_relu.tflite
    │   │   ├── conv2d_same.inp0
    │   │   ├── conv2d_same.out0
    │   │   ├── conv2d_same.tflite
    │   │   ├── conv2d_valid.inp0
    │   │   ├── conv2d_valid.out0
    │   │   ├── conv2d_valid.tflite
    │   │   ├── cos.inp0
    │   │   ├── cos.out0
    │   │   ├── cos.tflite
    │   │   ├── depth_to_space.inp0
    │   │   ├── depth_to_space.out0
    │   │   ├── depth_to_space.tflite
    │   │   ├── depthwise_conv2d_c1_m1.inp0
    │   │   ├── depthwise_conv2d_c1_m1.out0
    │   │   ├── depthwise_conv2d_c1_m1.tflite
    │   │   ├── depthwise_conv2d_c1_m2.inp0
    │   │   ├── depthwise_conv2d_c1_m2.out0
    │   │   ├── depthwise_conv2d_c1_m2.tflite
    │   │   ├── depthwise_conv2d_c2_m1.inp0
    │   │   ├── depthwise_conv2d_c2_m1.out0
    │   │   ├── depthwise_conv2d_c2_m1.tflite
    │   │   ├── depthwise_conv2d_c2_m2.inp0
    │   │   ├── depthwise_conv2d_c2_m2.out0
    │   │   ├── depthwise_conv2d_c2_m2.tflite
    │   │   ├── div.inp0
    │   │   ├── div.inp1
    │   │   ├── div.out0
    │   │   ├── div.tflite
    │   │   ├── div_broadcast.inp0
    │   │   ├── div_broadcast.inp1
    │   │   ├── div_broadcast.out0
    │   │   ├── div_broadcast.tflite
    │   │   ├── equal.inp0
    │   │   ├── equal.inp1
    │   │   ├── equal.out0
    │   │   ├── equal.tflite
    │   │   ├── exp.inp0
    │   │   ├── exp.out0
    │   │   ├── exp.tflite
    │   │   ├── floor.inp0
    │   │   ├── floor.out0
    │   │   ├── floor.tflite
    │   │   ├── fully_connected.inp0
    │   │   ├── fully_connected.out0
    │   │   ├── fully_connected.tflite
    │   │   ├── gather_axis0.inp0
    │   │   ├── gather_axis0.inp1
    │   │   ├── gather_axis0.out0
    │   │   ├── gather_axis0.tflite
    │   │   ├── gather_axis1.inp0
    │   │   ├── gather_axis1.inp1
    │   │   ├── gather_axis1.out0
    │   │   ├── gather_axis1.tflite
    │   │   ├── gather_nd.inp0
    │   │   ├── gather_nd.inp1
    │   │   ├── gather_nd.out0
    │   │   ├── gather_nd.tflite
    │   │   ├── greater.inp0
    │   │   ├── greater.inp1
    │   │   ├── greater.out0
    │   │   ├── greater.tflite
    │   │   ├── greater_equal.inp0
    │   │   ├── greater_equal.inp1
    │   │   ├── greater_equal.out0
    │   │   ├── greater_equal.tflite
    │   │   ├── hardSwish.inp0
    │   │   ├── hardSwish.out0
    │   │   ├── hardSwish.tflite
    │   │   ├── leaky_relu.inp0
    │   │   ├── leaky_relu.out0
    │   │   ├── leaky_relu.tflite
    │   │   ├── less.inp0
    │   │   ├── less.inp1
    │   │   ├── less.out0
    │   │   ├── less.tflite
    │   │   ├── less_equal.inp0
    │   │   ├── less_equal.inp1
    │   │   ├── less_equal.out0
    │   │   ├── less_equal.tflite
    │   │   ├── log.inp0
    │   │   ├── log.out0
    │   │   ├── log.tflite
    │   │   ├── log_softmax.inp0
    │   │   ├── log_softmax.out0
    │   │   ├── log_softmax.tflite
    │   │   ├── logical_and.inp0
    │   │   ├── logical_and.inp1
    │   │   ├── logical_and.out0
    │   │   ├── logical_and.tflite
    │   │   ├── logical_not.inp0
    │   │   ├── logical_not.out0
    │   │   ├── logical_not.tflite
    │   │   ├── logical_or.inp0
    │   │   ├── logical_or.inp1
    │   │   ├── logical_or.out0
    │   │   ├── logical_or.tflite
    │   │   ├── max.inp0
    │   │   ├── max.inp1
    │   │   ├── max.out0
    │   │   ├── max.tflite
    │   │   ├── max_broadcast.inp0
    │   │   ├── max_broadcast.inp1
    │   │   ├── max_broadcast.out0
    │   │   ├── max_broadcast.tflite
    │   │   ├── maxpool2d_same.inp0
    │   │   ├── maxpool2d_same.out0
    │   │   ├── maxpool2d_same.tflite
    │   │   ├── maxpool2d_valid.inp0
    │   │   ├── maxpool2d_valid.out0
    │   │   ├── maxpool2d_valid.tflite
    │   │   ├── mean_keep_dims.inp0
    │   │   ├── mean_keep_dims.out0
    │   │   ├── mean_keep_dims.tflite
    │   │   ├── mean_multiple_axis_keep_dims.inp0
    │   │   ├── mean_multiple_axis_keep_dims.out0
    │   │   ├── mean_multiple_axis_keep_dims.tflite
    │   │   ├── mean_multiple_axis_no_keep_dims.inp0
    │   │   ├── mean_multiple_axis_no_keep_dims.out0
    │   │   ├── mean_multiple_axis_no_keep_dims.tflite
    │   │   ├── mean_no_keep_dims.inp0
    │   │   ├── mean_no_keep_dims.out0
    │   │   ├── mean_no_keep_dims.tflite
    │   │   ├── min.inp0
    │   │   ├── min.inp1
    │   │   ├── min.out0
    │   │   ├── min.tflite
    │   │   ├── min_broadcast.inp0
    │   │   ├── min_broadcast.inp1
    │   │   ├── min_broadcast.out0
    │   │   ├── min_broadcast.tflite
    │   │   ├── mul.inp0
    │   │   ├── mul.inp1
    │   │   ├── mul.out0
    │   │   ├── mul.tflite
    │   │   ├── mul_broadcast.inp0
    │   │   ├── mul_broadcast.inp1
    │   │   ├── mul_broadcast.out0
    │   │   ├── mul_broadcast.tflite
    │   │   ├── neg.inp0
    │   │   ├── neg.out0
    │   │   ├── neg.tflite
    │   │   ├── not_equal.inp0
    │   │   ├── not_equal.inp1
    │   │   ├── not_equal.out0
    │   │   ├── not_equal.tflite
    │   │   ├── pack.inp0
    │   │   ├── pack.inp1
    │   │   ├── pack.out0
    │   │   ├── pack.tflite
    │   │   ├── pad.inp0
    │   │   ├── pad.out0
    │   │   ├── pad.tflite
    │   │   ├── pow.inp0
    │   │   ├── pow.inp1
    │   │   ├── pow.out0
    │   │   ├── pow.tflite
    │   │   ├── prelu.inp0
    │   │   ├── prelu.out0
    │   │   ├── prelu.tflite
    │   │   ├── relu.inp0
    │   │   ├── relu.out0
    │   │   ├── relu.tflite
    │   │   ├── relu6.inp0
    │   │   ├── relu6.out0
    │   │   ├── relu6.tflite
    │   │   ├── relu_n1to1.inp0
    │   │   ├── relu_n1to1.out0
    │   │   ├── relu_n1to1.tflite
    │   │   ├── reshape.inp0
    │   │   ├── reshape.out0
    │   │   ├── reshape.tflite
    │   │   ├── reshape_neg_shape.inp0
    │   │   ├── reshape_neg_shape.out0
    │   │   ├── reshape_neg_shape.tflite
    │   │   ├── resize_bilinear.inp0
    │   │   ├── resize_bilinear.out0
    │   │   ├── resize_bilinear.tflite
    │   │   ├── resize_nearest.inp0
    │   │   ├── resize_nearest.out0
    │   │   ├── resize_nearest.tflite
    │   │   ├── round.inp0
    │   │   ├── round.out0
    │   │   ├── round.tflite
    │   │   ├── rsqrt.inp0
    │   │   ├── rsqrt.out0
    │   │   ├── rsqrt.tflite
    │   │   ├── select.inp0
    │   │   ├── select.inp1
    │   │   ├── select.inp2
    │   │   ├── select.out0
    │   │   ├── select.tflite
    │   │   ├── sigmoid.inp0
    │   │   ├── sigmoid.out0
    │   │   ├── sigmoid.tflite
    │   │   ├── sin.inp0
    │   │   ├── sin.out0
    │   │   ├── sin.tflite
    │   │   ├── slice.inp0
    │   │   ├── slice.out0
    │   │   ├── slice.tflite
    │   │   ├── slice_neg_size.inp0
    │   │   ├── slice_neg_size.out0
    │   │   ├── slice_neg_size.tflite
    │   │   ├── softmax.inp0
    │   │   ├── softmax.out0
    │   │   ├── softmax.tflite
    │   │   ├── spaceToBatchNd.inp0
    │   │   ├── spaceToBatchNd.out0
    │   │   ├── spaceToBatchNd.tflite
    │   │   ├── space_to_depth.inp0
    │   │   ├── space_to_depth.out0
    │   │   ├── space_to_depth.tflite
    │   │   ├── split.inp0
    │   │   ├── split.out0
    │   │   ├── split.out1
    │   │   ├── split.out2
    │   │   ├── split.tflite
    │   │   ├── sqrt.inp0
    │   │   ├── sqrt.out0
    │   │   ├── sqrt.tflite
    │   │   ├── square.inp0
    │   │   ├── square.out0
    │   │   ├── square.tflite
    │   │   ├── strided_slice_test0.inp0
    │   │   ├── strided_slice_test0.out0
    │   │   ├── strided_slice_test0.tflite
    │   │   ├── strided_slice_test1.inp0
    │   │   ├── strided_slice_test1.out0
    │   │   ├── strided_slice_test1.tflite
    │   │   ├── strided_slice_test2.inp0
    │   │   ├── strided_slice_test2.out0
    │   │   ├── strided_slice_test2.tflite
    │   │   ├── strided_slice_test3.inp0
    │   │   ├── strided_slice_test3.out0
    │   │   ├── strided_slice_test3.tflite
    │   │   ├── strided_slice_test4.inp0
    │   │   ├── strided_slice_test4.out0
    │   │   ├── strided_slice_test4.tflite
    │   │   ├── strided_slice_test5.inp0
    │   │   ├── strided_slice_test5.out0
    │   │   ├── strided_slice_test5.tflite
    │   │   ├── strided_slice_test6.inp0
    │   │   ├── strided_slice_test6.out0
    │   │   ├── strided_slice_test6.tflite
    │   │   ├── sub.inp0
    │   │   ├── sub.inp1
    │   │   ├── sub.out0
    │   │   ├── sub.tflite
    │   │   ├── sub_broadcast.inp0
    │   │   ├── sub_broadcast.inp1
    │   │   ├── sub_broadcast.out0
    │   │   ├── sub_broadcast.tflite
    │   │   ├── tanh.inp0
    │   │   ├── tanh.out0
    │   │   ├── tanh.tflite
    │   │   ├── tflite_detection_post_processing_boxes.bin
    │   │   ├── tflite_detection_post_processing_fast.tflite
    │   │   ├── tflite_detection_post_processing_regular.tflite
    │   │   ├── tflite_detection_post_processing_scores.bin
    │   │   ├── tile.inp0
    │   │   ├── tile.out0
    │   │   ├── tile.tflite
    │   │   ├── transpose.inp0
    │   │   ├── transpose.out0
    │   │   ├── transpose.tflite
    │   │   ├── unpack.inp0
    │   │   ├── unpack.out0
    │   │   ├── unpack.out1
    │   │   ├── unpack.out2
    │   │   └── unpack.tflite
    ├── run_outputcheck.sh
    ├── runtime_test
    │   ├── CMakeLists.txt
    │   ├── backendSpecificOpts.yaml
    │   ├── cpuConfigs.yaml
    │   └── heterogeneousConfigs.yaml
    ├── stress
    │   ├── CMakeLists.txt
    │   ├── ParameterSweepTest.cpp
    │   └── SparseLengthsSumTest.cpp
    ├── text-translator
    │   ├── en2gr_cpu_config_test.sh
    │   ├── en2gr_cpu_partition_test.sh
    │   ├── en2gr_cpu_test.sh
    │   └── en2gr_quantization_test.sh
    ├── unittests
    │   ├── BackendCorrectnessTest.cpp
    │   ├── BackendTest.cpp
    │   ├── BackendTestUtils.cpp
    │   ├── BackendTestUtils.h
    │   ├── BasicIRTest.cpp
    │   ├── BundleSaverTest.cpp
    │   ├── CMakeLists.txt
    │   ├── CPUJITTest.cpp
    │   ├── Caffe2ImporterTest.cpp
    │   ├── DeferredWeightLoaderTest.cpp
    │   ├── DeviceManagerTest.cpp
    │   ├── ErrorTest.cpp
    │   ├── Float16Test.cpp
    │   ├── FollyTest.cpp
    │   ├── GemmTest.cpp
    │   ├── GlowOnnxifiManagerTest.cpp
    │   ├── GradCheckTest.cpp
    │   ├── GraphGradTest.cpp
    │   ├── GraphOptzTest.cpp
    │   ├── GraphSchedulerTest.cpp
    │   ├── GraphTest.cpp
    │   ├── HabanaGlowTest.cpp
    │   ├── HabanaTest.cpp
    │   ├── HostManagerTest.cpp
    │   ├── HyphenTest.cpp
    │   ├── IROptTest.cpp
    │   ├── ImageLoaderTest.cpp
    │   ├── ImageTest.cpp
    │   ├── ImporterTestUtils.h
    │   ├── InputSanitizerTest.cpp
    │   ├── LLVMIRGenTest.cpp
    │   ├── LoaderTest.cpp
    │   ├── MLTest.cpp
    │   ├── MemoryAllocatorTest.cpp
    │   ├── MemoryAllocatorTestModels.txt
    │   ├── NNPIOptPipelineTest.cpp
    │   ├── NameScrambler.cpp
    │   ├── NodeSplittingTest.cpp
    │   ├── NumericsTest.cpp
    │   ├── OCLTest.cpp
    │   ├── OnnxExporterTest.cpp
    │   ├── OnnxImporterTest.cpp
    │   ├── OperatorGradTest.cpp
    │   ├── OperatorTest.cpp
    │   ├── PartitionerTest.cpp
    │   ├── PassManagerTest.cpp
    │   ├── ProvisionerTest.cpp
    │   ├── QuantizationTest.cpp
    │   ├── RecommendationSystemTest.cpp
    │   ├── Repro.cpp
    │   ├── StatsExporterTest.cpp
    │   ├── StrCheck.cpp
    │   ├── SupportTest.cpp
    │   ├── TFLiteImporterTest.cpp
    │   ├── TaggedListTest.cpp
    │   ├── TensorLayoutTest.cpp
    │   ├── TensorPoolTest.cpp
    │   ├── TensorsTest.cpp
    │   ├── TestMain.cpp
    │   ├── ThreadPoolExecutorTest.cpp
    │   ├── ThreadPoolTest.cpp
    │   ├── TraceEventsTest.cpp
    │   ├── TraceExporterTest.cpp
    │   ├── TypeAToTypeBFunctionConverterTest.cpp
    │   ├── UtilsTest.cpp
    │   └── test_libjit.cpp
    └── utils
    │   └── genNetwork.py
├── thirdparty
    ├── miniz-2.0.8
    │   ├── ChangeLog.md
    │   ├── LICENSE
    │   ├── examples
    │   │   ├── example1.c
    │   │   ├── example2.c
    │   │   ├── example3.c
    │   │   ├── example4.c
    │   │   ├── example5.c
    │   │   └── example6.c
    │   ├── miniz.c
    │   ├── miniz.h
    │   └── readme.md
    └── tflite
    │   ├── Readme.md
    │   ├── flatbuffers
    │       ├── base.h
    │       ├── flatbuffers.h
    │       ├── flexbuffers.h
    │       ├── stl_emulation.h
    │       └── util.h
    │   └── schema_generated.h
├── tools
    ├── CMakeLists.txt
    ├── ClassGen
    │   ├── CMakeLists.txt
    │   ├── InstrBuilder.cpp
    │   ├── InstrBuilder.h
    │   ├── InstrGen.cpp
    │   ├── MemberType.cpp
    │   ├── MemberType.h
    │   ├── NodeBuilder.cpp
    │   ├── NodeBuilder.h
    │   └── NodeGen.cpp
    ├── Debugger
    │   ├── CMakeLists.txt
    │   ├── NetworkComparator.cpp
    │   ├── NetworkComparator.h
    │   └── network-debugger.cpp
    ├── IncludeBin
    │   ├── CMakeLists.txt
    │   └── IncludeBin.cpp
    ├── loader
    │   ├── CMakeLists.txt
    │   ├── ExecutorCore.cpp
    │   ├── ExecutorCore.h
    │   ├── ExecutorCoreHelperFunctions.cpp
    │   ├── ExecutorCoreHelperFunctions.h
    │   ├── ImageClassifier.cpp
    │   ├── Loader.cpp
    │   ├── Loader.h
    │   ├── LoaderUtils.cpp
    │   ├── LoaderUtils.h
    │   ├── ModelCompiler.cpp
    │   ├── ModelProfiler.cpp
    │   ├── ModelRunner.cpp
    │   ├── ModelTuner.cpp
    │   ├── ObjectDetector.cpp
    │   ├── TextTranslator.cpp
    │   └── XModelBuilder.cpp
    └── png2bin
    │   ├── CMakeLists.txt
    │   └── png2bin.cpp
├── torch_glow
    ├── examples
    │   ├── basic_example.py
    │   ├── profiling_executor_example.py
    │   └── resnet_example.py
    ├── setup.cfg
    ├── setup.py
    ├── src
    │   ├── CMakeLists.txt
    │   ├── CachingGraphRunner.cpp
    │   ├── CachingGraphRunner.h
    │   ├── CustomPyTorchOpLoader.cpp
    │   ├── CustomPyTorchOpLoader.h
    │   ├── FuseKnownPatterns.cpp
    │   ├── FuseKnownPatterns.h
    │   ├── GlowCompileSpec.cpp
    │   ├── GlowCompileSpec.h
    │   ├── GlowFuser.cpp
    │   ├── GlowFuser.h
    │   ├── GlowIValue.cpp
    │   ├── GlowIValue.h
    │   ├── InputMeta.cpp
    │   ├── InputMeta.h
    │   ├── PyTorchCommon.cpp
    │   ├── PyTorchCommon.h
    │   ├── PyTorchModelLoader.cpp
    │   ├── PyTorchModelLoader.h
    │   ├── Registration.cpp
    │   ├── Registration.h
    │   ├── ShapeInferenceEngine.cpp
    │   ├── ShapeInferenceEngine.h
    │   ├── TorchGlowBackend.cpp
    │   ├── TorchGlowBackend.h
    │   └── binding.cpp
    ├── tests
    │   ├── __init__.py
    │   ├── backends
    │   │   └── NNPI
    │   │   │   ├── model_serialization_test.py
    │   │   │   └── qconv_big_stride_small_kernel_test.py
    │   ├── conftest.py
    │   ├── functionality
    │   │   ├── __init__.py
    │   │   ├── blocklist_test.py
    │   │   ├── compilation_spec_test.py
    │   │   ├── conv_to_glow_test.py
    │   │   ├── fuse_necessary_getattrs_only.py
    │   │   ├── fuse_parallel_branches_test.py
    │   │   ├── fused_linear_test.py
    │   │   ├── input_spec_test.py
    │   │   ├── jit_vs_glow_path_test.py
    │   │   ├── load_backend_specific_options_test.py
    │   │   ├── max_fusion_merge_size_test.py
    │   │   ├── min_graph_size_test.py
    │   │   ├── only_tensor_outputs_test.py
    │   │   ├── print_jit_index_test.py
    │   │   ├── quantized_cut_in_the_middle_test.py
    │   │   ├── randomize_constants_test.py
    │   │   ├── remove_exceptions_test.py
    │   │   ├── set_glow_backend_test.py
    │   │   ├── shape_inference_test.py
    │   │   ├── to_glow_multiple_input_sets_test.py
    │   │   ├── to_glow_num_devices_to_use_test.py
    │   │   ├── to_glow_save_preprocessed_test.py
    │   │   ├── to_glow_selective_test.py
    │   │   ├── to_glow_tuple_output_test.py
    │   │   └── to_glow_write_to_onnx_test.py
    │   ├── nodes
    │   │   ├── Int_test.py
    │   │   ├── __init__.py
    │   │   ├── abs_test.py
    │   │   ├── adaptive_avg_pool2d_test.py
    │   │   ├── add_test.py
    │   │   ├── addmm_test.py
    │   │   ├── and_test.py
    │   │   ├── arange_test.py
    │   │   ├── arg_min_max_test.py
    │   │   ├── argsort_test.py
    │   │   ├── attention_test.py
    │   │   ├── avgpool1d_test.py
    │   │   ├── avgpool2d_test.py
    │   │   ├── avgpool3d_test.py
    │   │   ├── baddbmm_test.py
    │   │   ├── batch_permutation_test.py
    │   │   ├── batchnorm0d_test.py
    │   │   ├── batchnorm1d_test.py
    │   │   ├── batchnorm2d_test.py
    │   │   ├── batchnorm3d_test.py
    │   │   ├── bbox_transform_test.py
    │   │   ├── bitwise_and_test.py
    │   │   ├── bitwise_not_test.py
    │   │   ├── bitwise_or_test.py
    │   │   ├── bitwise_xor_test.py
    │   │   ├── bmm_test.py
    │   │   ├── cat_test.py
    │   │   ├── ceil_test.py
    │   │   ├── clamp_min_test.py
    │   │   ├── clamp_test.py
    │   │   ├── clone_test.py
    │   │   ├── cmp_test.py
    │   │   ├── constant_chunk_test.py
    │   │   ├── contiguous_test.py
    │   │   ├── conv2d_test.py
    │   │   ├── conv3d_test.py
    │   │   ├── conv_transpose2d_test.py
    │   │   ├── copy_test.py
    │   │   ├── cumsum_test.py
    │   │   ├── detach_test.py
    │   │   ├── div_test.py
    │   │   ├── dropout_test.py
    │   │   ├── dynamic_qlinear_test.py
    │   │   ├── embedding_bag_test.py
    │   │   ├── embedding_test.py
    │   │   ├── erf_test.py
    │   │   ├── exp_test.py
    │   │   ├── expand_as_test.py
    │   │   ├── expand_test.py
    │   │   ├── flatten_test.py
    │   │   ├── floor_div_test.py
    │   │   ├── floor_test.py
    │   │   ├── fmod_test.py
    │   │   ├── full_like_test.py
    │   │   ├── gather_test.py
    │   │   ├── gelu_test.py
    │   │   ├── getattr_test.py
    │   │   ├── iand_test.py
    │   │   ├── index_put_test.py
    │   │   ├── index_select_test.py
    │   │   ├── layernorm_test.py
    │   │   ├── leaky_relu_test.py
    │   │   ├── linear_test.py
    │   │   ├── log_softmax_test.py
    │   │   ├── log_test.py
    │   │   ├── logical_ops_test.py
    │   │   ├── lstm_test.py
    │   │   ├── masked_fill_test.py
    │   │   ├── matmul_test.py
    │   │   ├── max_test.py
    │   │   ├── maxpool2d_test.py
    │   │   ├── mean_test.py
    │   │   ├── min_test.py
    │   │   ├── mm_test.py
    │   │   ├── mul_test.py
    │   │   ├── norm_test.py
    │   │   ├── num_to_tensor_test.py
    │   │   ├── permute_test.py
    │   │   ├── pixel_shuffle_test.py
    │   │   ├── pixel_unshuffle_test.py
    │   │   ├── pow_test.py
    │   │   ├── prelu_test.py
    │   │   ├── quantized_add_relu_test.py
    │   │   ├── quantized_add_test.py
    │   │   ├── quantized_avgpool2d_test.py
    │   │   ├── quantized_avgpool3d_test.py
    │   │   ├── quantized_batchnorm2d_test.py
    │   │   ├── quantized_batchnorm3d_relu_test.py
    │   │   ├── quantized_batchnorm3d_test.py
    │   │   ├── quantized_cat_test.py
    │   │   ├── quantized_conv2d_relu_test.py
    │   │   ├── quantized_conv2d_test.py
    │   │   ├── quantized_conv3d_relu_test.py
    │   │   ├── quantized_conv3d_test.py
    │   │   ├── quantized_layernorm_test.py
    │   │   ├── quantized_leaky_relu_test.py
    │   │   ├── quantized_linear_test.py
    │   │   ├── quantized_maxpool_test.py
    │   │   ├── quantized_mul_test.py
    │   │   ├── quantized_relu_test.py
    │   │   ├── reciprocal_test.py
    │   │   ├── relu_test.py
    │   │   ├── repeat_test.py
    │   │   ├── reshape_test.py
    │   │   ├── roi_align_rotated_test.py
    │   │   ├── roi_align_test.py
    │   │   ├── rsub_test.py
    │   │   ├── select_test.py
    │   │   ├── shape_as_tensor_test.py
    │   │   ├── sigmoid_test.py
    │   │   ├── size_test.py
    │   │   ├── slice_test.py
    │   │   ├── softmax_test.py
    │   │   ├── softplus_test.py
    │   │   ├── split_test.py
    │   │   ├── sqrt_test.py
    │   │   ├── squeeze_test.py
    │   │   ├── stack_test.py
    │   │   ├── sub_test.py
    │   │   ├── sum_test.py
    │   │   ├── tanh_test.py
    │   │   ├── to_test.py
    │   │   ├── topk_test.py
    │   │   ├── transpose_test.py
    │   │   ├── trig_ops_test.py
    │   │   ├── typeas_test.py
    │   │   ├── unsqueeze_test.py
    │   │   ├── upsample_test.py
    │   │   ├── view_test.py
    │   │   └── zero_test.py
    │   ├── unittests
    │   │   ├── GlowIValueTests.cpp
    │   │   ├── NominalInputBatchIdxTests.cpp
    │   │   └── PyTorchCommonTests.cpp
    │   └── utils.py
    ├── torch_glow
    │   ├── __init__.py
    │   └── to_glow.py
    └── utils
    │   ├── __init__.py
    │   └── torchvision_fake
    │       ├── __init__.py
    │       ├── resnet.py
    │       └── transforms.py
└── utils
    ├── build_llvm.sh
    ├── caffe2_model_runner.py
    ├── caffe2_pb_runner.py
    ├── caffe2_train_and_dump_pb.py
    ├── compilation_filter.py
    ├── decode_caffe2_protoc.sh
    ├── docker
        ├── Dockerfile
        ├── README.md
        └── build.sh
    ├── download_datasets_and_models.py
    ├── encode_caffe2_protoc.sh
    ├── export_onnx_model.py
    ├── format.sh
    ├── glow-trace-concat.sh
    ├── imagenet-process.py
    ├── imagenet_topk_accuracy_driver.py
    ├── install_protobuf.sh
    ├── license.sh
    ├── log_parser.py
    ├── s3put.sh
    ├── scripts
        ├── dce_caffe2_model.py
        ├── gen_caffe2_model.py
        ├── gen_onnx_gru_model.py
        ├── gen_onnx_lstm_model.py
        ├── gen_onnx_mfcc_model.py
        ├── gen_onnx_model.py
        ├── gen_onnx_rnn_model.py
        ├── gen_onnx_spectrogram_model.py
        ├── gen_tflite_models.py
        ├── plot_histogram.py
        └── visualize_allocations.py
    └── trace_parser.py


/.ci/bundle_instrument_expected_output.txt:
--------------------------------------------------------------------------------
1 | Number of instructions: 8
2 | Number of data dumps: 24
3 | Result: 0
4 | Confidence: 0.991618
5 | 


--------------------------------------------------------------------------------
/.ci/bundle_tflite_custom_expected_output.txt:
--------------------------------------------------------------------------------
 1 | TFLite Custom Operator
 2 | Type: MyCustomOperator
 3 | Options (raw):
 4 |   Size (uint8) = 43
 5 |   Vals (uint8) = 105, 110, 116, 95, 102, 105, 101, 108, 100, 0, 115, 116, 114, 105, 110, 103, 95, 102, 105, 101, 108, 100, 0, 5, 100, 117, 109, 109, 121, 0, 2, 31, 22, 2, 1, 2, 13, 13, 4, 20, 4, 36, 1, 
 6 | Options (flexbuffer):
 7 |   int_field = 13
 8 |   string_field = dummy
 9 | Input[0]:
10 |   Size (f32) = 1
11 |   Vals (f32) = 1.000000, 
12 | Input[1]:
13 |   Size (f32) = 2
14 |   Vals (f32) = 1.000000, 2.000000, 
15 | Output[0]:
16 |   Size (f32) = 3
17 |   Vals (f32) = 1.000000, 2.000000, 3.000000, 
18 | Output[1]:
19 |   Size (f32) = 4
20 |   Vals (f32) = 0.000000, 0.000000, 0.000000, 0.000000, 
21 | 


--------------------------------------------------------------------------------
/.ci/bundle_with_extra_objects_expected_output.txt:
--------------------------------------------------------------------------------
1 | This is extra bundle object file for testing!
2 | 


--------------------------------------------------------------------------------
/.ci/bundle_with_multiple_entries_expected_output.txt:
--------------------------------------------------------------------------------
 1 | Testing first bundle entry point:
 2 | Allocated weights of size: 3072
 3 | Expected weights of size: 3072
 4 | Loaded weights of size: 3072 from the file testBundle.weights.bin
 5 | Allocated mutable weight variables of size: 256
 6 | Allocated activations variable of size: 128
 7 | Output weight output1: 2.00 2.00 2.00 2.00 2.00 2.00 2.00 2.00 2.00 2.00 2.00 2.00 2.00 2.00 2.00 2.00
 8 | 
 9 | Testing second bundle entry point:
10 | Allocated weights of size: 3072
11 | Expected weights of size: 3072
12 | Loaded weights of size: 3072 from the file testBundle.weights.bin
13 | Allocated mutable weight variables of size: 256
14 | Allocated activations variable of size: 128
15 | Output weight output2: 6.00 6.00 6.00 6.00 6.00 6.00 6.00 6.00 6.00 6.00 6.00 6.00 6.00 6.00 6.00 6.00
16 | 


--------------------------------------------------------------------------------
/.ci/lenet_mnist_expected_output.txt:
--------------------------------------------------------------------------------
 1 | Result: 0
 2 | Result: 1
 3 | Result: 2
 4 | Result: 3
 5 | Result: 4
 6 | Result: 5
 7 | Result: 6
 8 | Result: 7
 9 | Result: 8
10 | Result: 9
11 | 


--------------------------------------------------------------------------------
/.ci/resnet50_expected_output.txt:
--------------------------------------------------------------------------------
1 | Result: 285
2 | Result: 207
3 | Result: 340
4 | 


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/.circleci/lsan_suppressions.txt:
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1 | leak:RegisterHandlers
2 | 


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/.circleci/run_coverage.sh:
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 1 | #!/bin/bash
 2 | ninja all
 3 | ninja glow_coverage
 4 | COVERAGE_FILE="./glow_coverage/index.html"
 5 | if [ ! -f "${COVERAGE_FILE}" ]; then
 6 |   echo "ERROR: ${COVERAGE_FILE} not found."
 7 |   exit 1
 8 | fi
 9 | 
10 | # Upload coverage only on master branch.
11 | echo "INFO: Uploading coverage to S3."
12 | 
13 | BRANCH_NAME="${CIRCLE_BRANCH}"
14 | COVERAGE_DIR="$(dirname "${COVERAGE_FILE}")"
15 | UPLOAD_LOCATION="fb-glow-assets/coverage/coverage-${BRANCH_NAME}"
16 | 
17 | aws s3 cp "${COVERAGE_DIR}" "s3://${UPLOAD_LOCATION}" --recursive --acl public-read
18 | echo "INFO: Coverage report for branch '${BRANCH_NAME}': https://fb-glow-assets.s3.amazonaws.com/coverage/coverage-${BRANCH_NAME}/index.html"
19 | 


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/.gitignore:
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 1 | *.o
 2 | *.swn
 3 | *.swo
 4 | *.swp
 5 | *~
 6 | .DS_Store
 7 | *.so
 8 | *.dylib
 9 | *.egg-info
10 | *.egg
11 | *.eggs
12 | *.pyc
13 | 
14 | GPATH
15 | GRTAGS
16 | GTAGS
17 | tags
18 | 
19 | compile_commands.json
20 | 
21 | build/
22 | external/googletest/
23 | external/llvm/
24 | externalbackends/*/
25 | .vscode/
26 | .vim/
27 | .idea/
28 | .ccls-cache/
29 | .vs*
30 | build_*/*
31 | .clangd/
32 | 


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/PULL_REQUEST_TEMPLATE.md:
--------------------------------------------------------------------------------
 1 | Summary:
 2 | 
 3 | Documentation:
 4 | 
 5 | [Optional Fixes #issue]
 6 | 
 7 | Test Plan:
 8 | 
 9 | Please see a detailed explanation of how to fill out the fields in the relevant sections in PULL_REQUEST.md.
10 | 


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/cmake/modules/CMakeGraphVizOptions.cmake:
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 1 | # Copyright (c) Glow Contributors. See CONTRIBUTORS file.
 2 | #
 3 | # Licensed under the Apache License, Version 2.0 (the "License");
 4 | # you may not use this file except in compliance with the License.
 5 | # You may obtain a copy of the License at
 6 | #
 7 | #     http://www.apache.org/licenses/LICENSE-2.0
 8 | #
 9 | # Unless required by applicable law or agreed to in writing, software
10 | # distributed under the License is distributed on an "AS IS" BASIS,
11 | # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
12 | # See the License for the specific language governing permissions and
13 | # limitations under the License.
14 | 
15 | set(GRAPHVIZ_EXTERNAL_LIBS FALSE)
16 | set(GRAPHVIZ_IGNORE_TARGETS "gtest;testMain;gmock;gmock_main;")
17 | 


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/cmake/modules/FindBackends.cmake:
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 1 | set(GLOW_BACKENDS_DIR "${CMAKE_CURRENT_SOURCE_DIR}/lib/Backends")
 2 | file(GLOB subdirs RELATIVE "${GLOW_BACKENDS_DIR}" "${GLOW_BACKENDS_DIR}/*")
 3 | foreach(object ${subdirs})
 4 |   if(IS_DIRECTORY "${GLOW_BACKENDS_DIR}/${object}")
 5 |     set(backendEnabled "GLOW_WITH_${object}")
 6 |     string(TOUPPER "${backendEnabled}" backendEnabled)
 7 |     if(NOT DEFINED ${backendEnabled} OR ${backendEnabled})
 8 |       list(APPEND GLOW_BACKENDS "${object}")
 9 |     endif()
10 |   endif()
11 | endforeach()
12 | 


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/examples/bundles/CMakeLists.txt:
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1 | if (GLOW_WITH_BUNDLES)
2 |   add_subdirectory(lenet_mnist)
3 |   add_subdirectory(resnet50)
4 |   add_subdirectory(bundle_with_multiple_entries)
5 |   add_subdirectory(bundle_with_extra_objects)
6 |   add_subdirectory(bundle_instrument)
7 |   add_subdirectory(bundle_tflite_custom)
8 | endif()
9 | 


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/examples/bundles/bundle_with_extra_objects/.gitignore:
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1 | !*.o
2 | 
3 | 


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/examples/training/CMakeLists.txt:
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1 | add_subdirectory(resnet50)
2 | 


--------------------------------------------------------------------------------
/examples/training/resnet50/CMakeLists.txt:
--------------------------------------------------------------------------------
 1 | if(PNG_FOUND)
 2 |   add_executable(resnet-training
 3 |                   main.cpp)
 4 |   target_link_libraries(resnet-training
 5 |                         PRIVATE
 6 |                           Backends
 7 |                           ExecutionEngine
 8 |                           Graph
 9 |                           Importer
10 |                           GraphOptimizer)
11 | endif()
12 | 


--------------------------------------------------------------------------------
/externalbackends/README.txt:
--------------------------------------------------------------------------------
1 | This directory is intended to contain external backends.
2 | 


--------------------------------------------------------------------------------
/lib/Backend/CMakeLists.txt:
--------------------------------------------------------------------------------
 1 | add_library(Backend
 2 |               Backend.cpp
 3 |               BackendUtils.cpp
 4 |               CompiledFunction.cpp)
 5 | target_link_libraries(Backend
 6 |                       PUBLIC
 7 |                         ExecutionContext
 8 |                       PRIVATE
 9 |                         Base
10 |                         CodeGen
11 |                         Graph
12 |                         IR
13 |                         IROptimizerPipeline
14 |                         GraphOptimizerPipeline
15 |                         Runtime)
16 | 


--------------------------------------------------------------------------------
/lib/Backends/CPU/ClassGen/CMakeLists.txt:
--------------------------------------------------------------------------------
1 | set(VERIF_FILENAME CPUSpecificNodesVerification.h)
2 | configure_file(${VERIF_FILENAME}
3 |                ${GLOW_BINARY_DIR}/glow/${VERIF_FILENAME} COPYONLY)
4 | 
5 | set(VERIF_FILENAME CPUSpecificInstrsVerification.h)
6 | configure_file(${VERIF_FILENAME}
7 |                ${GLOW_BINARY_DIR}/glow/${VERIF_FILENAME} COPYONLY)
8 | 


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/lib/Backends/Habana/ClassGen/CMakeLists.txt:
--------------------------------------------------------------------------------
1 | set(VERIF_FILENAME HabanaSpecificNodesVerification.h)
2 | configure_file(${VERIF_FILENAME}
3 |                ${GLOW_BINARY_DIR}/glow/${VERIF_FILENAME} COPYONLY)
4 | 


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/lib/Backends/NNPI/ClassGen/NNPISpecificTypes.h:
--------------------------------------------------------------------------------
1 | enum NNPILookupType {
2 |   LOOKUP_DIRECT_LUT = 0,
3 |   LOOKUP_LINEAR_INTERPOLATION,
4 |   LOOKUP_QUADRATIC_INTERPOLATION
5 | };
6 | 


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/lib/Backends/OpenCL/ClassGen/CMakeLists.txt:
--------------------------------------------------------------------------------
1 | set(VERIF_FILENAME OpenCLSpecificNodesVerification.h)
2 | configure_file(${VERIF_FILENAME}
3 |                ${GLOW_BINARY_DIR}/glow/${VERIF_FILENAME} COPYONLY)
4 | 
5 | set(VERIF_FILENAME OpenCLSpecificInstrsVerification.h)
6 | configure_file(${VERIF_FILENAME}
7 |                ${GLOW_BINARY_DIR}/glow/${VERIF_FILENAME} COPYONLY)
8 | 


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/lib/Backends/OpenCL/ClassGen/OpenCLSpecificInstrsVerification.h:
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 1 | /**
 2 |  * Copyright (c) Glow Contributors. See CONTRIBUTORS file.
 3 |  *
 4 |  * Licensed under the Apache License, Version 2.0 (the "License");
 5 |  * you may not use this file except in compliance with the License.
 6 |  * You may obtain a copy of the License at
 7 |  *
 8 |  *     http://www.apache.org/licenses/LICENSE-2.0
 9 |  *
10 |  * Unless required by applicable law or agreed to in writing, software
11 |  * distributed under the License is distributed on an "AS IS" BASIS,
12 |  * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13 |  * See the License for the specific language governing permissions and
14 |  * limitations under the License.
15 |  */
16 | 
17 | #ifdef GLOW_WITH_OPENCL
18 | 
19 | #endif // GLOW_WITH_OPENCL
20 | 


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/lib/CodeGen/CMakeLists.txt:
--------------------------------------------------------------------------------
1 | add_library(CodeGen MemoryAllocator.cpp)
2 | 
3 | target_link_libraries(CodeGen
4 |                       PRIVATE
5 |                         Support)
6 | 


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/lib/Converter/CMakeLists.txt:
--------------------------------------------------------------------------------
 1 | add_library(Converter
 2 |             Float16Converter.cpp
 3 |             FusedRowwiseConverter.cpp
 4 |             FunctionConverter.cpp
 5 |             TypeAToTypeBFunctionConverter.cpp)
 6 | 
 7 | target_link_libraries(Converter
 8 |                       PRIVATE
 9 |                         Base
10 |                         Graph)
11 | 


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/lib/ExecutionContext/CMakeLists.txt:
--------------------------------------------------------------------------------
1 | add_library(ExecutionContext
2 |               TraceEvents.cpp)
3 | target_link_libraries(ExecutionContext
4 |                       PRIVATE
5 |                         Base
6 |                         Graph)
7 | 
8 | 


--------------------------------------------------------------------------------
/lib/ExecutionEngine/CMakeLists.txt:
--------------------------------------------------------------------------------
 1 | add_library(ExecutionEngine
 2 |               ExecutionEngine.cpp)
 3 | 
 4 | target_link_libraries(ExecutionEngine
 5 |                       PRIVATE
 6 |                         Backend
 7 |                         Backends
 8 |                         HostManager
 9 |                         GraphOptimizer
10 |                         Base
11 |                         Graph)
12 | 


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/lib/Flags/CMakeLists.txt:
--------------------------------------------------------------------------------
1 | add_library(Flags
2 |               Flags.cpp)
3 | target_link_libraries(Flags
4 |                       PUBLIC
5 |                         gflags
6 |                         glog::glog
7 |                         LLVMSupport)
8 | 


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/lib/Optimizer/CMakeLists.txt:
--------------------------------------------------------------------------------
1 | add_subdirectory(GraphOptimizer)
2 | add_subdirectory(GraphOptimizerPipeline)
3 | add_subdirectory(IROptimizer)
4 | add_subdirectory(IROptimizerPipeline)
5 | add_subdirectory(Lower)
6 | 


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/lib/Optimizer/GraphOptimizer/CMakeLists.txt:
--------------------------------------------------------------------------------
 1 | add_library(GraphOptimizer
 2 |               ConstantFolding.cpp
 3 |               FunctionPassManager.cpp
 4 |               GraphOptimizer.cpp
 5 |               Lower.cpp
 6 |               Quantization.cpp
 7 |               TrainingPreparation.cpp
 8 |               NodeSplitting.cpp)
 9 | 
10 | target_link_libraries(GraphOptimizer
11 |                       PRIVATE
12 |                         Backend
13 |                         Converter
14 |                         Graph
15 |                         GraphOptimizerPipeline
16 |                         Lower
17 |                         Interpreter
18 |                         PassManager
19 |                         Quantization
20 |                         QuantizationBase)
21 | 


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/lib/Optimizer/GraphOptimizerPipeline/CMakeLists.txt:
--------------------------------------------------------------------------------
1 | add_library(GraphOptimizerPipeline
2 |               FunctionPassPipeline.cpp)
3 | 
4 | target_link_libraries(GraphOptimizerPipeline
5 |                       PRIVATE
6 |                         Graph
7 |                         LLVMCore
8 |                         PassManager)
9 | 


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/lib/Optimizer/IROptimizer/CMakeLists.txt:
--------------------------------------------------------------------------------
 1 | add_library(IROptimizer
 2 |               IRFunctionPassManager.cpp
 3 |               IROptimizer.cpp
 4 |               IRInstrumentation.cpp)
 5 | 
 6 | target_link_libraries(IROptimizer
 7 |                       PRIVATE
 8 |                         Graph
 9 |                         IR
10 |                         QuantizationBase
11 |                         PassManager)
12 | 


--------------------------------------------------------------------------------
/lib/Optimizer/IROptimizerPipeline/CMakeLists.txt:
--------------------------------------------------------------------------------
 1 | add_library(IROptimizerPipeline
 2 |               IRFunctionPassPipeline.cpp
 3 |               CommandLine.cpp)
 4 | 
 5 | target_link_libraries(IROptimizerPipeline
 6 |                       PRIVATE
 7 |                         IR
 8 |                         LLVMCore
 9 |                         PassManager)
10 | 


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/lib/Optimizer/Lower/CMakeLists.txt:
--------------------------------------------------------------------------------
1 | add_library(Lower
2 |               Lower.cpp)
3 | 
4 | target_link_libraries(Lower
5 |                       PRIVATE
6 |                         Graph
7 |                         Quantization
8 |                         QuantizationBase)
9 | 


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/lib/Partitioner/CMakeLists.txt:
--------------------------------------------------------------------------------
 1 | add_library(Partitioner
 2 |               PartitionerBase.cpp
 3 |               PartitionerUtils.cpp
 4 |               PartitionerOptimizer.cpp
 5 |               PartitionerValidation.cpp
 6 |               Partitioner.cpp)
 7 | 
 8 | target_link_libraries(Partitioner
 9 |                       PRIVATE
10 |                         Backends
11 |                         Flags
12 |                         Graph
13 |                         GraphOptimizer)
14 | 


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/lib/PassManager/CMakeLists.txt:
--------------------------------------------------------------------------------
 1 | add_library(PassManager
 2 |               PassConfig.cpp
 3 |               PassManager.cpp
 4 |               PassPipeline.cpp)
 5 | 
 6 | target_link_libraries(PassManager
 7 |                       PRIVATE
 8 |                         Base
 9 |                         Support
10 |                         glog::glog)
11 | 


--------------------------------------------------------------------------------
/lib/Quantization/Base/CMakeLists.txt:
--------------------------------------------------------------------------------
 1 | add_library(QuantizationBase
 2 |               Profile.cpp
 3 |               Base.cpp
 4 |               Calibration.cpp)
 5 | target_link_libraries(QuantizationBase
 6 |   PRIVATE
 7 |   LLVMSupport
 8 |   Base)
 9 | 
10 | add_dependencies(QuantizationBase AutoGen)
11 | 


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/lib/Quantization/CMakeLists.txt:
--------------------------------------------------------------------------------
 1 | add_subdirectory(Base)
 2 | 
 3 | add_library(Quantization
 4 |               Serialization.cpp
 5 |               Quantization.cpp)
 6 | 
 7 | target_link_libraries(Quantization
 8 |                       PRIVATE
 9 |                         Converter
10 |                         Graph
11 |                         Backend
12 |                         QuantizationBase
13 |                         LLVMSupport)
14 | 


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/lib/Runtime/CMakeLists.txt:
--------------------------------------------------------------------------------
 1 | add_subdirectory(Provisioner)
 2 | add_subdirectory(Executor)
 3 | add_subdirectory(HostManager)
 4 | 
 5 | add_library(Runtime
 6 |   ErrorReporter.cpp
 7 |   DeviceHealthMonitor.cpp
 8 |   DeferredWeightLoader.cpp
 9 |   InputSanitizer.cpp
10 |   TraceExporter.cpp
11 |   StatsExporter.cpp)
12 | target_link_libraries(Runtime
13 |   PUBLIC
14 |     ExecutionContext
15 |   PRIVATE
16 |     Support)
17 | 


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/lib/Runtime/Executor/CMakeLists.txt:
--------------------------------------------------------------------------------
 1 | add_library(Executor
 2 |               NetworkExecutionState.cpp
 3 |               ThreadPoolExecutor.cpp)
 4 | 
 5 | target_link_libraries(Executor
 6 |                       PRIVATE
 7 |                         Backend
 8 |                         Backends
 9 |                         ExecutionContext
10 |                         Graph)
11 | 


--------------------------------------------------------------------------------
/lib/Runtime/HostManager/CMakeLists.txt:
--------------------------------------------------------------------------------
 1 | add_library(HostManager
 2 |               HostManager.cpp)
 3 | 
 4 | target_link_libraries(HostManager
 5 |                       PRIVATE
 6 |                         Backends
 7 |                         Base
 8 |                         Executor
 9 |                         Exporter
10 |                         Importer
11 |                         Graph
12 |                         GraphOptimizer
13 |                         Partitioner
14 |                         Provisioner
15 |                         Runtime)
16 | 


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/lib/Runtime/Provisioner/CMakeLists.txt:
--------------------------------------------------------------------------------
 1 | add_library(Provisioner
 2 |               Provisioner.cpp)
 3 | 
 4 | target_link_libraries(Provisioner
 5 |                       PRIVATE
 6 |                         Backend
 7 |                         Backends
 8 |                         Flags
 9 |                         Graph
10 |                         Runtime)
11 | 


--------------------------------------------------------------------------------
/lib/Support/CMakeLists.txt:
--------------------------------------------------------------------------------
 1 | add_library(Support
 2 |               Debug.cpp
 3 |               Error.cpp
 4 |               Random.cpp
 5 |               Support.cpp
 6 |               ThreadPool.cpp
 7 |               ZipUtils.cpp)
 8 | target_link_libraries(Support
 9 |                       PUBLIC
10 |                         Flags
11 |                         LLVMSupport
12 |                         Miniz
13 |                         glog::glog
14 |                         folly_jemalloc
15 |                         )
16 | 
17 | add_subdirectory(TensorPool)
18 | 


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/lib/Support/TensorPool/CMakeLists.txt:
--------------------------------------------------------------------------------
1 | add_library(TensorPool
2 |               TensorPool.cpp)
3 | target_link_libraries(TensorPool
4 |                       PRIVATE
5 |                         Base)
6 | 


--------------------------------------------------------------------------------
/tests/Testing/CMakeLists.txt:
--------------------------------------------------------------------------------
1 | add_library(Testing
2 |               StrCheck.cpp)
3 | target_link_libraries(Testing
4 |                       PRIVATE
5 |                         LLVMSupport
6 |                         gtest)
7 | 


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/tests/images/EmotionSampleImages/README:
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1 | Images taken from https://github.com/Microsoft/onnxjs-demo/tree/master/src/assets/EmotionSampleImages
2 | and converted to png using imagemagick:
3 | for i in *.jpg
4 | do
5 | convert $i -resize 64x64\! -colorspace gray ${i%.jpg}.png
6 | done
7 | 


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1 | tests/images/npy/tensor_1x2x4_u8.npy
2 | 


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1 | tests/images/npy/tensor_1x2x4_f32.npy
2 | 


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1 | tests/images/npy/tensor_1x2x4_f32_2.npy
2 | 


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/tests/images/npy/input1List_3D_i16.txt:
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1 | tests/images/npy/tensor_1x2x4_i16.npy
2 | 


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1 | tests/images/npy/tensor_1x2x4_u16.npy
2 | 
3 | 


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/tests/images/npy/input1List_4D.txt:
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1 | tests/images/npy/tensor_1x2x4x4_u8.npy
2 | 


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/tests/images/npy/input2List_3D.txt:
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1 | tests/images/npy/tensor_1x2x4_u8.npy
2 | 


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/tests/images/npy/input2List_3D_2.txt:
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1 | tests/images/npy/tensor_2x4x4_u8.npy
2 | 


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/tests/images/npy/input2List_3D_f32.txt:
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1 | tests/images/npy/tensor_1x2x4_f32.npy
2 | 


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/tests/images/npy/input2List_3D_f32_2.txt:
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1 | tests/images/npy/tensor_1x2x4_f32_2.npy
2 | 


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/tests/images/npy/input2List_3D_i16.txt:
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1 | tests/images/npy/tensor_1x2x4_i16_2.npy
2 | 


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1 | tests/images/npy/tensor_1x2x4_u16.npy
2 | 
3 | 


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/tests/images/npy/input2List_4D.txt:
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2 | 


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--------------------------------------------------------------------------------
 1 | name: "4bit_fused_rowwise_quantized_sparse_lengths_weighted_sum_init_net_test"
 2 | op {
 3 |   output: "data"
 4 |   type: "GivenTensorByteStringToUInt8Fill"
 5 |   arg {
 6 |     name: "shape"
 7 |     ints: 3
 8 |     ints: 9
 9 |   }
10 |   arg {
11 |     name: "values"
12 |     strings: "\000\000\000\000\000\000\000\000\100\000\000\000\000\000\000\000\000\277\000\000\000\000\000\000\000\120\101"
13 |   }
14 | }
15 | 


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/tests/models/caffe2Models/4bit_fused_rowwise_quantized_sparse_lengths_sum_predict_net.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "4bit_fused_rowwise_quantized_sparse_lengths_sum_predict_net_test"
 2 | op {
 3 |   input: "data"
 4 |   input: "indices"
 5 |   input: "lengths"
 6 |   output: "result"
 7 |   name: ""
 8 |   type: "SparseLengthsSumFused4BitRowwise"
 9 | }
10 | external_input: "indices"
11 | external_input: "lengths"
12 | external_output: "result"
13 | 


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/tests/models/caffe2Models/NCHW2NHWC_predict_net.pbtxt:
--------------------------------------------------------------------------------
1 | name: "NCHW2NHWC_test"
2 | op {
3 |   input: "inputs"
4 |   output: "output"
5 |   type: "NCHW2NHWC"
6 | }
7 | external_output: "output"
8 | 


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/tests/models/caffe2Models/alias_op_net.pbtxt:
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 1 | name: "alias"
 2 | op {
 3 |   input: "X"
 4 |   output: "Y"
 5 |   name: ""
 6 |   type: "Alias"
 7 | }
 8 | external_input: "X"
 9 | external_output: "Y"
10 | 


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/tests/models/caffe2Models/argmin.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "argmin"
 2 | op {
 3 |   input: "input"
 4 |   output: "output"
 5 |   name: ""
 6 |   type: "ArgMin"
 7 |   arg {
 8 |     name: "axis"
 9 |     i: 1
10 |   }
11 |   arg {
12 |     name: "keepdims"
13 |     i: 0
14 |   }
15 | }
16 | external_input: "input"
17 | external_output: "output"
18 | 


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/tests/models/caffe2Models/avgpool_nhwc_predict_net.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "averagePool_test"
 2 | op {
 3 |   input: "inputs"
 4 |   output: "output"
 5 |   type: "AveragePool"
 6 |   arg {
 7 |     name: "order"
 8 |     s: "NHWC"
 9 |   }
10 |   arg {
11 |     name: "kernel"
12 |     i: 2
13 |   }
14 |   arg {
15 |     name: "stride"
16 |     i: 1
17 |   }
18 |   arg {
19 |     name: "pad"
20 |     i: 1
21 |   }
22 |   arg {
23 |     name: "count_include_pad"
24 |     i: 0
25 |   }
26 | }
27 | external_output: "output"
28 | 


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/tests/models/caffe2Models/avgpool_predict_net.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "averagePool_test"
 2 | op {
 3 |   input: "inputs"
 4 |   output: "output"
 5 |   type: "AveragePool"
 6 |   arg {
 7 |     name: "kernel"
 8 |     i: 2
 9 |   }
10 |   arg {
11 |     name: "stride"
12 |     i: 1
13 |   }
14 |   arg {
15 |     name: "pad"
16 |     i: 1
17 |   }
18 | }
19 | external_output: "output"
20 | 


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/tests/models/caffe2Models/batch_box_cox_predict_net.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "batch_box_cox"
 2 | op {
 3 |   input: "data"
 4 |   input: "lambda1"
 5 |   input: "lambda2"
 6 |   output: "batch_box_cox"
 7 |   name: ""
 8 |   type: "BatchBoxCox"
 9 | }
10 | external_input: "data"
11 | external_input: "lambda1"
12 | external_input: "lambda2"
13 | external_output: "batch_box_cox"
14 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/batch_sparse_to_dense_last_dim_1.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "batchSparseToDense"
 2 | op {
 3 |   input: "lengths"
 4 |   input: "indices"
 5 |   input: "values"
 6 |   output: "output"
 7 |   name: ""
 8 |   type: "BatchSparseToDense"
 9 |   arg {
10 |     name: "dense_last_dim"
11 |     i: 1
12 |   }
13 |   arg {
14 |     name: "default_value"
15 |     f: 0
16 |   }
17 | }
18 | external_input: "lengths"
19 | external_input: "indices"
20 | external_input: "values"
21 | external_output: "output"
22 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/batched_matmul.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "batched_matmul"
 2 | op {
 3 |   input: "lhs"
 4 |   input: "rhs"
 5 |   output: "result"
 6 |   name: ""
 7 |   type: "BatchMatMul"
 8 | }
 9 | external_input: "lhs"
10 | external_input: "rhs"
11 | external_output: "result"
12 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/bucketize_op_net.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "bucketize"
 2 | op {
 3 |   type: "Bucketize"
 4 |   input: "input_0"
 5 |   output: "bucketize_test_output"
 6 |   arg {
 7 |     name: "boundaries"
 8 |     floats: 0.1
 9 |     floats: 2.5
10 |   }
11 | }
12 | external_input: "input_0"
13 | external_output: "bucketize_test_output"
14 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/cast_int64_to_int64.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "cast_int64_to_int64"
 2 | op {
 3 |   input: "input"
 4 |   output: "output"
 5 |   name: ""
 6 |   type: "Cast"
 7 |   arg {
 8 |     name: "to"
 9 |     i: 10
10 |   }
11 | }
12 | external_input: "input"
13 | external_output: "output"
14 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/clip_op_default_net.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "clip"
 2 | op {
 3 |   input: "inputs_0"
 4 |   output: "clip_result"
 5 |   name: ""
 6 |   type: "Clip"
 7 | }
 8 | external_input: "inputs_0"
 9 | external_output: "clip_result"
10 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/clip_op_net.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "clip"
 2 | op {
 3 |   input: "inputs_0"
 4 |   output: "clip_result"
 5 |   name: ""
 6 |   type: "Clip"
 7 |   arg {
 8 |     name: "min"
 9 |     f: 20.0
10 |   }
11 |   arg {
12 |     name: "max"
13 |     f: 60.0
14 |   }
15 | }
16 | external_input: "inputs_0"
17 | external_output: "clip_result"
18 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/concat_add_axis_at_edge.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "concat_add_axis_at_edge"
 2 | op {
 3 |   input: "inputs_0"
 4 |   input: "inputs_1"
 5 |   input: "inputs_2"
 6 |   output: "concat_result"
 7 |   output: "split_info"
 8 |   name: ""
 9 |   type: "Concat"
10 |   arg {
11 |     name: "add_axis"
12 |     i: 1
13 |   }
14 |   arg {
15 |     name: "axis"
16 |     i: 4
17 |   }
18 | }
19 | external_input: "inputs_0"
20 | external_input: "inputs_1"
21 | external_input: "inputs_2"
22 | external_output: "concat_result"
23 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/concat_add_axis_predict_net.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "concatx3add_axis"
 2 | op {
 3 |   input: "inputs_0"
 4 |   input: "inputs_1"
 5 |   input: "inputs_2"
 6 |   output: "concat_result"
 7 |   output: "split_info"
 8 |   name: ""
 9 |   type: "Concat"
10 |   arg {
11 |     name: "add_axis"
12 |     i: 1
13 |   }
14 |   arg {
15 |     name: "axis"
16 |     i: 1
17 |   }
18 | }
19 | external_input: "inputs_0"
20 | external_input: "inputs_1"
21 | external_input: "inputs_2"
22 | external_output: "concat_result"
23 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/concat_predict_net.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "concatx3"
 2 | op {
 3 |   input: "inputs_0"
 4 |   input: "inputs_1"
 5 |   input: "inputs_2"
 6 |   output: "concat_result"
 7 |   output: "split_info"
 8 |   name: ""
 9 |   type: "Concat"
10 |   arg {
11 |     name: "add_axis"
12 |     i: 0
13 |   }
14 |   arg {
15 |     name: "axis"
16 |     i: 1
17 |   }
18 | }
19 | external_input: "inputs_0"
20 | external_input: "inputs_1"
21 | external_input: "inputs_2"
22 | external_output: "concat_result"
23 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/constant_fill_input_as_shape.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "constant_fill_input_as_shape"
 2 | op {
 3 |   input: "inputs_0"
 4 |   output: "result"
 5 |   name: ""
 6 |   type: "ConstantFill"
 7 |   arg {
 8 |     name: "value"
 9 |     f: 3.0
10 |   }
11 |   arg {
12 |     name: "input_as_shape"
13 |     i: 1
14 |   }
15 | }
16 | external_input: "inputs_0"
17 | external_output: "result"
18 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/constant_fill_input_as_shape_init.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "init"
 2 | op {
 3 |   output: "inputs_0"
 4 |   type: "GivenTensorInt64Fill"
 5 |   arg {
 6 |     name: "shape"
 7 |     ints: 4
 8 |   }
 9 |   arg {
10 |     name: "values"
11 |     ints: 17
12 |     ints: 23
13 |     ints: 29
14 |     ints: 31
15 |   }
16 | }
17 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/constant_fill_use_input_shape.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "constant_fill_use_input_shape"
 2 | op {
 3 |   input: "inputs_0"
 4 |   output: "result"
 5 |   name: ""
 6 |   type: "ConstantFill"
 7 |   arg {
 8 |     name: "value"
 9 |     f: 3.0
10 |   }
11 | }
12 | external_input: "inputs_0"
13 | external_output: "result"
14 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/constant_fill_use_provided_shape.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "constant_fill_use_provided_shape"
 2 | op {
 3 |   output: "result"
 4 |   name: ""
 5 |   type: "ConstantFill"
 6 |   arg {
 7 |     name: "value"
 8 |     f: 3.0
 9 |   }
10 |   arg {
11 |     name: "shape"
12 |     ints: 7
13 |     ints: 11
14 |     ints: 13
15 |     ints: 17
16 |   }
17 | }
18 | external_output: "result"
19 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/conv_group_quantized_pred_net.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "conv_group_quantized_test"
 2 | op {
 3 |   input: "input"
 4 |   input: "conv_w"
 5 |   input: "conv_b"
 6 |   output: "conv_out"
 7 |   type: "Int8Conv"
 8 |   arg {
 9 |     name: "kernel"
10 |     i: 1
11 |   }
12 |   arg {
13 |     name: "group"
14 |     i: 2
15 |   }
16 |   arg {
17 |     name: "stride"
18 |     i: 1
19 |   }
20 |   arg {
21 |     name: "pad"
22 |     i: 1
23 |   }
24 |   arg {
25 |     name: "order"
26 |     s: "NHWC"
27 |   }
28 |   arg {
29 |     name: "Y_scale"
30 |     f: 3.14
31 |   }
32 |   arg {
33 |     name: "Y_zero_point"
34 |     i: 5
35 |   }
36 |   arg {
37 |     name: "quantize_groupwise"
38 |     i: 1
39 |   }
40 | }
41 | external_output: "conv_out"
42 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/conv_nhwc_init_net.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "init"
 2 | op {
 3 |   output: "conv_w"
 4 |   type: "GivenTensorFill"
 5 |   arg {
 6 |     name: "shape"
 7 |     ints: 1
 8 |     ints: 1
 9 |     ints: 2
10 |     ints: 2
11 |   }
12 |   arg {
13 |     name: "values"
14 |     floats: 1.0
15 |     floats: 1.0
16 |     floats: 1.0
17 |     floats: 1.0
18 |   }
19 | }
20 | op {
21 |   output: "conv_b"
22 |   type: "GivenTensorFill"
23 |   arg {
24 |     name: "shape"
25 |     ints: 1
26 |   }
27 |   arg {
28 |     name: "values"
29 |     floats: 2.0
30 |   }
31 | }
32 | 
33 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/conv_nhwc_predict_net.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "conv_test"
 2 | op {
 3 |   input: "inputs"
 4 |   input: "conv_w"
 5 |   input: "conv_b"
 6 |   output: "conv_out"
 7 |   type: "Conv"
 8 |   arg {
 9 |     name: "order"
10 |     s: "NHWC"
11 |   }
12 |   arg {
13 |     name: "kernel"
14 |     i: 2
15 |   }
16 |   arg {
17 |     name: "stride"
18 |     i: 1
19 |   }
20 |   arg {
21 |     name: "group"
22 |     i: 1
23 |   }
24 |   arg {
25 |     name: "pad"
26 |     i: 1
27 |   }
28 |   arg {
29 |     name: "dilation"
30 |     i: 1
31 |   }
32 | }
33 | external_output: "conv_out"
34 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/convrelu_init_net.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "init"
 2 | op {
 3 |   output: "conv_w"
 4 |   type: "GivenTensorFill"
 5 |   arg {
 6 |     name: "shape"
 7 |     ints: 1
 8 |     ints: 1
 9 |     ints: 2
10 |     ints: 2
11 |   }
12 |   arg {
13 |     name: "values"
14 |     floats: 1.0
15 |     floats: 1.0
16 |     floats: 1.0
17 |     floats: 1.0
18 |   }
19 | }
20 | op {
21 |   output: "conv_b"
22 |   type: "GivenTensorFill"
23 |   arg {
24 |     name: "shape"
25 |     ints: 1
26 |   }
27 |   arg {
28 |     name: "values"
29 |     floats: 2.0
30 |   }
31 | }
32 | 
33 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/convrelu_pred_net.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "conv_test"
 2 | op {
 3 |   input: "gpu_0/data_0"
 4 |   input: "conv_w"
 5 |   input: "conv_b"
 6 |   output: "conv_out"
 7 |   type: "ConvRelu"
 8 |   arg {
 9 |     name: "kernel"
10 |     i: 2
11 |   }
12 |   arg {
13 |     name: "stride"
14 |     i: 1
15 |   }
16 |   arg {
17 |     name: "group"
18 |     i: 1
19 |   }
20 |   arg {
21 |     name: "pad"
22 |     i: 1
23 |   }
24 |   arg {
25 |     name: "dilation"
26 |     i: 1
27 |   }
28 | }
29 | external_output: "conv_out"
30 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/convtranspose.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "convTranspose_test"
 2 | op {
 3 |   input: "gpu_0/data_0"
 4 |   input: "convTranspose_w"
 5 |   input: "convTranspose_b"
 6 |   output: "convTranspose_out"
 7 |   type: "ConvTranspose"
 8 |   arg {
 9 |     name: "kernel"
10 |     i: 3
11 |   }
12 |   arg {
13 |     name: "stride"
14 |     i: 1
15 |   }
16 |   arg {
17 |     name: "group"
18 |     i: 1
19 |   }
20 |   arg {
21 |     name: "pad"
22 |     i: 0
23 |   }
24 | }
25 | external_output: "convTranspose_out"
26 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/convtranspose_init.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "init"
 2 | op {
 3 |   output: "convTranspose_w"
 4 |   type: "GivenTensorFill"
 5 |   arg {
 6 |     name: "shape"
 7 |     ints: 1
 8 |     ints: 1
 9 |     ints: 3
10 |     ints: 3
11 |   }
12 |   arg {
13 |     name: "values"
14 |     floats: 2.0
15 |     floats: 3.0
16 |     floats: 4.0
17 |     floats: 5.0
18 |     floats: 6.0
19 |     floats: 7.0
20 |     floats: 8.0
21 |     floats: 9.0
22 |     floats: 10.0
23 |   }
24 | }
25 | op {
26 |   output: "convTranspose_b"
27 |   type: "GivenTensorFill"
28 |   arg {
29 |     name: "shape"
30 |     ints: 1
31 |   }
32 |   arg {
33 |     name: "values"
34 |     floats: 1.
35 |   }
36 | }
37 | 
38 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/convtranspose_net.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "convTranspose_test"
 2 | op {
 3 |   input: "gpu_0/data_0"
 4 |   input: "convTranspose_w"
 5 |   input: "convTranspose_b"
 6 |   output: "convTranspose_out"
 7 |   type: "ConvTranspose"
 8 |   arg {
 9 |     name: "kernel"
10 |     i: 2
11 |   }
12 |   arg {
13 |     name: "stride"
14 |     i: 1
15 |   }
16 |   arg {
17 |     name: "group"
18 |     i: 1
19 |   }
20 |   arg {
21 |     name: "pad"
22 |     i: 1
23 |   }
24 | }
25 | external_output: "convTranspose_out"
26 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/convtranspose_nhwc.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "convTranspose_test"
 2 | op {
 3 |   input: "inputs"
 4 |   input: "convTranspose_w"
 5 |   input: "convTranspose_b"
 6 |   output: "convTranspose_out"
 7 |   type: "ConvTranspose"
 8 |   arg {
 9 |     name: "order"
10 |     s: "NHWC"
11 |   }
12 |   arg {
13 |     name: "kernel"
14 |     i: 3
15 |   }
16 |   arg {
17 |     name: "stride"
18 |     i: 1
19 |   }
20 |   arg {
21 |     name: "group"
22 |     i: 1
23 |   }
24 |   arg {
25 |     name: "pad"
26 |     i: 1
27 |   }
28 | }
29 | external_output: "convTranspose_out"
30 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/convtranspose_nhwc_init.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "init"
 2 | op {
 3 |   output: "convTranspose_w"
 4 |   type: "GivenTensorFill"
 5 |   arg {
 6 |     name: "shape"
 7 |     ints: 1
 8 |     ints: 1
 9 |     ints: 3
10 |     ints: 3
11 |   }
12 |   arg {
13 |     name: "values"
14 |     floats: 2.0
15 |     floats: 3.0
16 |     floats: 4.0
17 |     floats: 5.0
18 |     floats: 6.0
19 |     floats: 7.0
20 |     floats: 8.0
21 |     floats: 9.0
22 |     floats: 10.0
23 |   }
24 | }
25 | op {
26 |   output: "convTranspose_b"
27 |   type: "GivenTensorFill"
28 |   arg {
29 |     name: "shape"
30 |     ints: 1
31 |   }
32 |   arg {
33 |     name: "values"
34 |     floats: 1.
35 |   }
36 | }
37 | 
38 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/convtranspose_pads.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "conv_test"
 2 | op {
 3 |   input: "gpu_0/data_0"
 4 |   input: "convTranspose_w"
 5 |   input: "convTranspose_b"
 6 |   output: "convTranspose_out"
 7 |   type: "ConvTranspose"
 8 |   arg {
 9 |     name: "kernel"
10 |     i: 3
11 |   }
12 |   arg {
13 |     name: "stride"
14 |     i: 1
15 |   }
16 |   arg {
17 |     name: "group"
18 |     i: 1
19 |   }
20 |   arg {
21 |     name: "pad"
22 |     i: 1
23 |   }
24 | }
25 | external_output: "convTranspose_out"
26 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/dot_product_predict_net.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "dot_product"
 2 | op {
 3 |   input: "X"
 4 |   input: "Y"
 5 |   output: "dot_product"
 6 |   name: ""
 7 |   type: "DotProduct"
 8 | }
 9 | external_input: "X"
10 | external_input: "Y"
11 | external_output: "dot_product"
12 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/dropout.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "dropout"
 2 | op {
 3 |   input: "input"
 4 |   output: "output"
 5 |   name: ""
 6 |   type: "Dropout"
 7 | }
 8 | external_input: "input"
 9 | external_output: "output"
10 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/dynamic_quantized_fc_init.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "init"
 2 | op {
 3 |   output: "weights"
 4 |   type: "Int8GivenTensorFill"
 5 |   arg {
 6 |     name: "shape"
 7 |     ints: 4
 8 |     ints: 3
 9 |   }
10 |   arg {
11 |     name: "values"
12 |     s: "\x0\x1\x2\x3\x4\x5\x6\x7\x8\x9\xa\xb"
13 |   }
14 |   arg {
15 |     name: "Y_scale"
16 |     f: 1
17 |   }
18 |   arg {
19 |     name: "Y_zero_point"
20 |     i: 0
21 |   }
22 | }
23 | op {
24 |   output: "bias"
25 |   name: ""
26 |   type: "GivenTensorFill"
27 |   arg {
28 |     name: "shape"
29 |     ints: 4
30 |   }
31 |   arg {
32 |     name: "values"
33 |     floats: 0
34 |     floats: 1
35 |     floats: 2
36 |     floats: 3
37 |   }
38 | }
39 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/dynamic_quantized_fc_predict_net.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "int8_fc_dequantized"
 2 | op {
 3 |   input: "input"
 4 |   input: "weights"
 5 |   input: "bias"
 6 |   output: "output"
 7 |   name: ""
 8 |   type: "Int8FC"
 9 |   arg {
10 |     name: "axis"
11 |     i: 1
12 |   }
13 |   arg {
14 |     name: "Y_scale"
15 |     f: 1
16 |   }
17 |   arg {
18 |     name: "Y_zero_point"
19 |     i: 0
20 |   }
21 |   arg {
22 |     name: "dequantize_output"
23 |     i: 1
24 |   }
25 | }
26 | external_input: "input"
27 | external_input: "weights"
28 | external_input: "bias"
29 | external_output: "output"
30 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/elementwise_linear_broadcast_net.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "elementwise_linear"
 2 | op {
 3 |   input: "X"
 4 |   input: "w"
 5 |   output: "i0"
 6 |   name: ""
 7 |   type: "Mul"
 8 |   arg {
 9 |     name: "axis"
10 |     i: 1
11 |   }
12 |   arg {
13 |     name: "broadcast"
14 |     i: 0
15 |   }
16 | }
17 | op {
18 |   input: "i0"
19 |   input: "b"
20 |   output: "el_result"
21 |   name: ""
22 |   type: "Add"
23 |   arg {
24 |     name: "axis"
25 |     i: 1
26 |   }
27 |   arg {
28 |     name: "broadcast"
29 |     i: 0
30 |   }
31 | }
32 | external_input: "X"
33 | external_input: "w"
34 | external_input: "b"
35 | external_output: "el_result"
36 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/elementwise_linear_default_net.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "elementwise_linear"
 2 | op {
 3 |   input: "X"
 4 |   input: "w"
 5 |   input: "b"
 6 |   output: "el_result"
 7 |   name: ""
 8 |   type: "ElementwiseLinear"
 9 | }
10 | external_input: "X"
11 | external_input: "w"
12 | external_input: "b"
13 | external_output: "el_result"
14 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/elementwise_linear_net.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "elementwise_linear"
 2 | op {
 3 |   input: "X"
 4 |   input: "w"
 5 |   input: "b"
 6 |   output: "el_result"
 7 |   name: ""
 8 |   type: "ElementwiseLinear"
 9 |   arg {
10 |     name: "axis"
11 |     i: 0
12 |   }
13 | }
14 | external_input: "X"
15 | external_input: "w"
16 | external_input: "b"
17 | external_output: "el_result"
18 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/empty_init_net.pbtxt:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/pytorch/glow/05dd99b971dc5eeeb2b86a80c74dca800653d548/tests/models/caffe2Models/empty_init_net.pbtxt


--------------------------------------------------------------------------------
/tests/models/caffe2Models/empty_predict_net.pbtxt:
--------------------------------------------------------------------------------
1 | external_output: "unused_output"
2 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/eq_op_net.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "eq"
 2 | op {
 3 |   input: "X"
 4 |   input: "Y"
 5 |   output: "eq"
 6 |   name: ""
 7 |   type: "EQ"
 8 | }
 9 | external_input: "X"
10 | external_input: "Y"
11 | external_output: "eq"
12 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/exp_op_net.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "expcaffe2Test"
 2 | op {
 3 |   input: "data"
 4 |   output: "result"
 5 |   name: "exp"
 6 |   type: "Exp"
 7 | }
 8 | external_input: "data"
 9 | external_output: "result"
10 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/fbfcpacked_3d_second_axis_predict.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "fb_fc_packed_3d"
 2 | op {
 3 |   input: "input"
 4 |   input: "weights"
 5 |   input: "bias"
 6 |   output: "output"
 7 |   name: ""
 8 |   type: "FbFCPacked"
 9 |   arg {
10 |     name: "axis"
11 |     i: 2
12 |   }
13 | }
14 | external_input: "input"
15 | external_input: "weights"
16 | external_input: "bias"
17 | external_output: "output"
18 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/fbfcpacked_4d_first_axis_init_net.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "init"
 2 | op {
 3 |   output: "weights"
 4 |   type: "GivenTensorFp16Fill"
 5 |   arg {
 6 |     name: "shape"
 7 |     ints: 3
 8 |     ints: 5
 9 |   }
10 |   arg {
11 |     name: "values"
12 |     floats: 0
13 |     floats: 1
14 |     floats: 2
15 |     floats: 3
16 |     floats: 4
17 |     floats: 5
18 |     floats: 6
19 |     floats: 7
20 |     floats: 8
21 |     floats: 9
22 |     floats: 10
23 |     floats: 11
24 |     floats: 12
25 |     floats: 13
26 |     floats: 14
27 |   }
28 | }
29 | op {
30 |   output: "bias"
31 |   type: "GivenTensorFill"
32 |   arg {
33 |     name: "shape"
34 |     ints: 3
35 |   }
36 |   arg {
37 |     name: "values"
38 |     floats: 0
39 |     floats: 1
40 |     floats: 2
41 |   }
42 | }
43 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/fbfcpacked_4d_first_axis_predict_net.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "fbfcpacked_4d"
 2 | op {
 3 |   input: "input"
 4 |   input: "weights"
 5 |   input: "bias"
 6 |   output: "output"
 7 |   name: ""
 8 |   type: "FbFCPacked"
 9 |   arg {
10 |     name: "axis"
11 |     i: 1
12 |   }
13 | }
14 | external_input: "input"
15 | external_input: "weights"
16 | external_input: "bias"
17 | external_output: "output"
18 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/fcTransposed_4d_init_net.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "init"
 2 | op {
 3 |   output: "weights"
 4 |   type: "ConstantFill"
 5 |   arg {
 6 |     name: "shape"
 7 |     ints: 2048
 8 |     ints: 9190
 9 |   }
10 | }
11 | op {
12 |   output: "bias"
13 |   type: "ConstantFill"
14 |   arg {
15 |     name: "shape"
16 |     ints: 9190
17 |   }
18 | }
19 | 
20 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/fcTransposed_4d_predict_net.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "fc"
 2 | op {
 3 |   input: "inputs"
 4 |   input: "weights"
 5 |   input: "bias"
 6 |   output: "fc_result"
 7 |   name: ""
 8 |   type: "FCTransposed"
 9 |   arg {
10 |     name: "axis"
11 |     i: 3
12 |   }
13 | }
14 | external_input: "inputs"
15 | external_input: "weights"
16 | external_input: "bias"
17 | external_output: "fc_result"
18 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/fcTransposed_init_net.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "init"
 2 | op {
 3 |   output: "weights"
 4 |   type: "GivenTensorFill"
 5 |   arg {
 6 |     name: "shape"
 7 |     ints: 3
 8 |     ints: 4
 9 |   }
10 |   arg {
11 |     name: "values"
12 |     floats: 1.0
13 |     floats: 4.0
14 |     floats: 7.0
15 |     floats: 10.0
16 |     floats: 2.0
17 |     floats: 5.0
18 |     floats: 8.0
19 |     floats: 11.0
20 |     floats: 3.0
21 |     floats: 6.0
22 |     floats: 9.0
23 |     floats: 12.0
24 |   }
25 | }
26 | op {
27 |   output: "bias"
28 |   type: "GivenTensorFill"
29 |   arg {
30 |     name: "shape"
31 |     ints: 4
32 |   }
33 |   arg {
34 |     name: "values"
35 |     floats: 0.1
36 |     floats: 0.2
37 |     floats: 0.3
38 |     floats: 0.4
39 |   }
40 | }
41 | 
42 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/fcTransposed_predict_net.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "fc"
 2 | op {
 3 |   input: "inputs"
 4 |   input: "weights"
 5 |   input: "bias"
 6 |   output: "fc_result"
 7 |   name: ""
 8 |   type: "FCTransposed"
 9 | }
10 | external_input: "inputs"
11 | external_input: "weights"
12 | external_input: "bias"
13 | external_output: "fc_result"
14 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/fc_3d_second_axis_predict.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "fc_3d"
 2 | op {
 3 |   input: "input"
 4 |   input: "weights"
 5 |   input: "bias"
 6 |   output: "output"
 7 |   name: ""
 8 |   type: "FC"
 9 |   arg {
10 |     name: "axis"
11 |     i: 2
12 |   }
13 | }
14 | external_input: "input"
15 | external_input: "weights"
16 | external_input: "bias"
17 | external_output: "output"
18 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/fc_4d_first_axis_init_net.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "init"
 2 | op {
 3 |   output: "weights"
 4 |   type: "ConstantFill"
 5 |   arg {
 6 |     name: "shape"
 7 |     ints: 3
 8 |     ints: 5
 9 |   }
10 | }
11 | op {
12 |   output: "bias"
13 |   type: "ConstantFill"
14 |   arg {
15 |     name: "shape"
16 |     ints: 3
17 |   }
18 | }
19 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/fc_4d_first_axis_predict_net.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "fc"
 2 | op {
 3 |   input: "inputs"
 4 |   input: "weights"
 5 |   input: "bias"
 6 |   output: "fc_result"
 7 |   name: ""
 8 |   type: "FC"
 9 |   arg {
10 |     name: "axis"
11 |     i: 1
12 |   }
13 | }
14 | external_input: "inputs"
15 | external_input: "weights"
16 | external_input: "bias"
17 | external_output: "fc_result"
18 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/fc_4d_init_net.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "init"
 2 | op {
 3 |   output: "weights"
 4 |   type: "ConstantFill"
 5 |   arg {
 6 |     name: "shape"
 7 |     ints: 9190
 8 |     ints: 2048
 9 |   }
10 | }
11 | op {
12 |   output: "bias"
13 |   type: "ConstantFill"
14 |   arg {
15 |     name: "shape"
16 |     ints: 9190
17 |   }
18 | }
19 | 
20 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/fc_4d_predict_net.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "fc"
 2 | op {
 3 |   input: "inputs"
 4 |   input: "weights"
 5 |   input: "bias"
 6 |   output: "fc_result"
 7 |   name: ""
 8 |   type: "FC"
 9 |   arg {
10 |     name: "axis"
11 |     i: 3
12 |   }
13 | }
14 | external_input: "inputs"
15 | external_input: "weights"
16 | external_input: "bias"
17 | external_output: "fc_result"
18 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/fc_init_net.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "init"
 2 | op {
 3 |   output: "weights"
 4 |   type: "GivenTensorFill"
 5 |   arg {
 6 |     name: "shape"
 7 |     ints: 4
 8 |     ints: 3
 9 |   }
10 |   arg {
11 |     name: "values"
12 |     floats: 1.0
13 |     floats: 2.0
14 |     floats: 3.0
15 |     floats: 4.0
16 |     floats: 5.0
17 |     floats: 6.0
18 |     floats: 7.0
19 |     floats: 8.0
20 |     floats: 9.0
21 |     floats: 10.0
22 |     floats: 11.0
23 |     floats: 12.0
24 |   }
25 | }
26 | op {
27 |   output: "bias"
28 |   type: "GivenTensorFill"
29 |   arg {
30 |     name: "shape"
31 |     ints: 4
32 |   }
33 |   arg {
34 |     name: "values"
35 |     floats: 0.1
36 |     floats: 0.2
37 |     floats: 0.3
38 |     floats: 0.4
39 |   }
40 | }
41 | 
42 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/fc_predict_net.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "fc"
 2 | op {
 3 |   input: "inputs"
 4 |   input: "weights"
 5 |   input: "bias"
 6 |   output: "fc_result"
 7 |   name: ""
 8 |   type: "FC"
 9 | }
10 | external_input: "inputs"
11 | external_input: "weights"
12 | external_input: "bias"
13 | external_output: "fc_result"
14 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/fill_examples_with_indicator.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "fill_examples_with_indicator"
 2 | op {
 3 |   input: "data"
 4 |   input: "indicator"
 5 |   output: "output"
 6 |   name: ""
 7 |   type: "FillExamplesWithIndicator"
 8 | }
 9 | external_input: "data"
10 | external_input: "indicator"
11 | external_output: "output"
12 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/fused_rowwise_quantized_sparse_lengths_sum_init_net.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "fused_rowwise_quantized_sparse_lengths_sum_init_net_test"
 2 | op {
 3 |   output: "data"
 4 |   type: "GivenTensorByteStringToUInt8Fill"
 5 |   arg {
 6 |     name: "shape"
 7 |     ints: 3
 8 |     ints: 10
 9 |   }
10 |   arg {
11 |     name: "values"
12 |     strings: "\000\377\152\232\115\072\000\000\200\077\000\377\050\132\215\073\063\063\023\100\000\377\314\063\232\073\000\000\220\100"
13 |   }
14 | }
15 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/fused_rowwise_quantized_sparse_lengths_sum_predict_net.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "fused_rowwise_quantized_sparse_lengths_sum_predict_net_test"
 2 | op {
 3 |   input: "data"
 4 |   input: "indices"
 5 |   input: "lengths"
 6 |   output: "result"
 7 |   name: ""
 8 |   type: "SparseLengthsSumFused8BitRowwise"
 9 | }
10 | external_input: "indices"
11 | external_input: "lengths"
12 | external_output: "result"
13 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/fused_rowwise_quantized_sparse_lengths_sum_predict_net_length1.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "fused_rowwise_quantized_sparse_lengths_sum_predict_net_test"
 2 | op {
 3 |   input: "data"
 4 |   input: "indices"
 5 |   input: "lengths"
 6 |   output: "result"
 7 |   name: ""
 8 |   type: "SparseLengthsSumFused8BitRowwise"
 9 |   arg {
10 |     name: "length1"
11 |     i: 1
12 |   }
13 | }
14 | external_input: "indices"
15 | external_input: "lengths"
16 | external_output: "result"
17 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/fused_rowwise_quantized_sparse_lengths_weighted_sum_avg_length_predict_net.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "fused_rowwise_quantized_sparse_lengths_weighted_sum_predict_net_test"
 2 | op {
 3 |   input: "data"
 4 |   input: "weights"
 5 |   input: "indices"
 6 |   input: "lengths"
 7 |   output: "result"
 8 |   name: ""
 9 |   type: "SparseLengthsWeightedSumFused8BitRowwise"
10 |   arg {
11 |     name: "average_lookup_length"
12 |     f: 5.0
13 |   }
14 | }
15 | external_input: "data"
16 | external_input: "weights"
17 | external_input: "indices"
18 | external_input: "lengths"
19 | external_output: "result"
20 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/fused_rowwise_quantized_sparse_lengths_weighted_sum_predict_net.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "fused_rowwise_quantized_sparse_lengths_weighted_sum_predict_net_test"
 2 | op {
 3 |   input: "data"
 4 |   input: "weights"
 5 |   input: "indices"
 6 |   input: "lengths"
 7 |   output: "result"
 8 |   name: ""
 9 |   type: "SparseLengthsWeightedSumFused8BitRowwise"
10 | }
11 | external_input: "data"
12 | external_input: "weights"
13 | external_input: "indices"
14 | external_input: "lengths"
15 | external_output: "result"
16 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/gather_const_fold.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "gatherConstantFolding"
 2 | op {
 3 |   input: "data"
 4 |   output: "shape_x"
 5 |   name: "shape_x"
 6 |   type: "Shape"
 7 | }
 8 | op {
 9 |   input: "shape_x"
10 |   input: "index"
11 |   output: "gather_x"
12 |   name: "gather_x"
13 |   type: "Gather"
14 | }
15 | op {
16 |   input: "data"
17 |   input: "gather_x"
18 |   output: "result"
19 |   name: "result"
20 |   type: "Reshape"
21 | }
22 | external_input: "data"
23 | external_input: "index"
24 | external_output: "result"
25 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/gather_const_fold_init.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "init"
 2 | op {
 3 |   output: "index"
 4 |   type: "GivenTensorIntFill"
 5 |   arg {
 6 |     name: "shape"
 7 |     ints: 4
 8 |   }
 9 |   arg {
10 |     name: "values"
11 |     ints: 0
12 |     ints: 2
13 |     ints: 3
14 |     ints: 1
15 |   }
16 | }
17 | 
18 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/gather_ranges.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "gatherRanges"
 2 | op {
 3 |   input: "data"
 4 |   input: "ranges"
 5 |   output: "output"
 6 |   output: "lengths"
 7 |   arg {
 8 |     name: "maxOutputSize"
 9 |     i: 5
10 |   }
11 |   name: ""
12 |   type: "GatherRanges"
13 | }
14 | external_input: "data"
15 | external_input: "ranges"
16 | external_output: "output"
17 | external_output: "lengths"
18 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/gaussian_fill_input_as_shape.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "gaussian_fill_input_as_shape"
 2 | op {
 3 |   input: "inputs_0"
 4 |   output: "result"
 5 |   name: ""
 6 |   type: "GaussianFill"
 7 |   arg {
 8 |     name: "mean"
 9 |     f: 0.0
10 |   }
11 |   arg {
12 |     name: "std"
13 |     f: 1.0
14 |   }
15 |   arg {
16 |     name: "input_as_shape"
17 |     i: 1
18 |   }
19 | }
20 | external_input: "inputs_0"
21 | external_output: "result"
22 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/gaussian_fill_input_as_shape_init.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "init"
 2 | op {
 3 |   output: "inputs_0"
 4 |   type: "GivenTensorInt64Fill"
 5 |   arg {
 6 |     name: "shape"
 7 |     ints: 4
 8 |   }
 9 |   arg {
10 |     name: "values"
11 |     ints: 4
12 |     ints: 5
13 |     ints: 6
14 |     ints: 7
15 |   }
16 | }
17 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/gaussian_fill_use_input_shape.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "gaussian_fill_use_input_shape"
 2 | op {
 3 |   input: "inputs_0"
 4 |   output: "result"
 5 |   name: ""
 6 |   type: "GaussianFill"
 7 |   arg {
 8 |     name: "mean"
 9 |     f: 0.0
10 |   }
11 |   arg {
12 |     name: "std"
13 |     f: 1.0
14 |   }
15 | }
16 | external_input: "inputs_0"
17 | external_output: "result"
18 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/gaussian_fill_use_input_shape_with_extra_shape.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "gaussian_fill_use_input_shape_with_extra_shape"
 2 | op {
 3 |   input: "inputs_0"
 4 |   output: "result"
 5 |   name: ""
 6 |   type: "GaussianFill"
 7 |   arg {
 8 |     name: "mean"
 9 |     f: 0.0
10 |   }
11 |   arg {
12 |     name: "std"
13 |     f: 1.0
14 |   }
15 |   arg {
16 |     name: "extra_shape"
17 |     ints: 2
18 |     ints: 3
19 |   }
20 | }
21 | external_input: "inputs_0"
22 | external_output: "result"
23 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/gaussian_fill_use_provided_shape.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "gaussian_fill_use_provided_shape"
 2 | op {
 3 |   output: "result"
 4 |   name: ""
 5 |   type: "GaussianFill"
 6 |   arg {
 7 |     name: "mean"
 8 |     f: 0.0
 9 |   }
10 |   arg {
11 |     name: "std"
12 |     f: 1.0
13 |   }
14 |   arg {
15 |     name: "shape"
16 |     ints: 4
17 |     ints: 5
18 |     ints: 6
19 |     ints: 7
20 |   }
21 | }
22 | external_output: "result"
23 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/gelu.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "gelu"
 2 | op {
 3 |   input: "input"
 4 |   output: "output"
 5 |   name: ""
 6 |   type: "Gelu"
 7 | }
 8 | external_input: "input"
 9 | external_output: "output"
10 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/halftofloat_op_net.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "alias"
 2 | op {
 3 |   input: "X"
 4 |   output: "Y"
 5 |   name: ""
 6 |   type: "HalfToFloat"
 7 | }
 8 | external_input: "X"
 9 | external_output: "Y"
10 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/init_net.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "init"
 2 | op {
 3 |   output: "conv_w"
 4 |   type: "GivenTensorFill"
 5 |   arg {
 6 |     name: "shape"
 7 |     ints: 1
 8 |     ints: 1
 9 |     ints: 2
10 |     ints: 2
11 |   }
12 |   arg {
13 |     name: "values"
14 |     floats: 1.0
15 |     floats: 1.0
16 |     floats: 1.0
17 |     floats: 1.0
18 |   }
19 | }
20 | op {
21 |   output: "conv_b"
22 |   type: "GivenTensorFill"
23 |   arg {
24 |     name: "shape"
25 |     ints: 1
26 |   }
27 |   arg {
28 |     name: "values"
29 |     floats: 2.0
30 |   }
31 | }
32 | 
33 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/int8convrelu_init_net.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "init"
 2 | op {
 3 |   output: "conv_w"
 4 |   type: "Int8GivenTensorFill"
 5 |   arg {
 6 |     name: "shape"
 7 |     ints: 1
 8 |     ints: 1
 9 |     ints: 2
10 |     ints: 2
11 |   }
12 |   arg {
13 |     name: "values"
14 |     s: "\1\1\1\1"
15 |   }
16 |   arg {
17 |     name: "Y_scale"
18 |     f: 2
19 |   }
20 |   arg {
21 |     name: "Y_zero_point"
22 |     i: 10
23 |   }
24 | }
25 | op {
26 |   output: "conv_b"
27 |   type: "Int8GivenIntTensorFill"
28 |   arg {
29 |     name: "shape"
30 |     ints: 1
31 |   }
32 |   arg {
33 |     name: "values"
34 |     ints: 2
35 |   }
36 |   arg {
37 |     name: "Y_scale"
38 |     f: 10
39 |   }
40 |   arg {
41 |     name: "Y_zero_point"
42 |     i: 4
43 |   }
44 | }
45 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/int8convrelu_pred_net.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "conv_test"
 2 | op {
 3 |   input: "gpu_0/data_0"
 4 |   input: "conv_w"
 5 |   input: "conv_b"
 6 |   output: "conv_out"
 7 |   type: "Int8ConvRelu"
 8 |   arg {
 9 |     name: "kernel"
10 |     i: 2
11 |   }
12 |   arg {
13 |     name: "stride"
14 |     i: 1
15 |   }
16 |   arg {
17 |     name: "group"
18 |     i: 1
19 |   }
20 |   arg {
21 |     name: "pad"
22 |     i: 1
23 |   }
24 |   arg {
25 |     name: "dilation"
26 |     i: 1
27 |   }
28 |   arg {
29 |     name: "Y_scale"
30 |     f: 1.5
31 |   }
32 |   arg {
33 |     name: "Y_zero_point"
34 |     i: 7
35 |   }
36 | }
37 | external_output: "conv_out"
38 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/int8fc_3d_second_axis_init.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "init"
 2 | op {
 3 |   output: "weights"
 4 |   type: "Int8GivenTensorFill"
 5 |   arg {
 6 |     name: "shape"
 7 |     ints: 2
 8 |     ints: 3
 9 |   }
10 |   arg {
11 |     name: "values"
12 |     s: "\x0\x1\x2\x3\x4\x5"
13 |   }
14 |   arg {
15 |     name: "Y_scale"
16 |     f: 1
17 |   }
18 |   arg {
19 |     name: "Y_zero_point"
20 |     i: 0
21 |   }
22 | }
23 | op {
24 |   output: "bias"
25 |   type: "Int8GivenTensorFill"
26 |   arg {
27 |     name: "shape"
28 |     ints: 2
29 |   }
30 |   arg {
31 |     name: "values"
32 |     s: "\x0\x1"
33 |   }
34 |   arg {
35 |     name: "Y_scale"
36 |     f: 1
37 |   }
38 |   arg {
39 |     name: "Y_zero_point"
40 |     i: 0
41 |   }
42 | }
43 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/int8fc_3d_second_axis_predict.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "int8_fc_3d"
 2 | op {
 3 |   input: "input"
 4 |   input: "weights"
 5 |   input: "bias"
 6 |   output: "output_q"
 7 |   name: ""
 8 |   type: "Int8FC"
 9 |   arg {
10 |     name: "axis"
11 |     i: 2
12 |   }
13 |   arg {
14 |     name: "Y_scale"
15 |     f: 1
16 |   }
17 |   arg {
18 |     name: "Y_zero_point"
19 |     i: 0
20 |   }
21 | }
22 | op {
23 |   input: "output_q"
24 |   output: "output"
25 |   name: ""
26 |   type: "Int8Dequantize"
27 | }
28 | external_input: "input"
29 | external_input: "weights"
30 | external_input: "bias"
31 | external_output: "output"
32 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/int8fc_4d_first_axis_init_net.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "init"
 2 | op {
 3 |   output: "weights"
 4 |   type: "Int8GivenTensorFill"
 5 |   arg {
 6 |     name: "shape"
 7 |     ints: 3
 8 |     ints: 5
 9 |   }
10 |   arg {
11 |     name: "values"
12 |     s: "\x0\x1\x2\x3\x4\x5\x6\x7\x8\x9\xa\xb\xc\xd\xe"
13 |   }
14 |   arg {
15 |     name: "Y_scale"
16 |     f: 1
17 |   }
18 |   arg {
19 |     name: "Y_zero_point"
20 |     i: 0
21 |   }
22 | }
23 | op {
24 |   output: "bias"
25 |   type: "Int8GivenTensorFill"
26 |   arg {
27 |     name: "shape"
28 |     ints: 3
29 |   }
30 |   arg {
31 |     name: "values"
32 |     s: "\x0\x1\x2"
33 |   }
34 |   arg {
35 |     name: "Y_scale"
36 |     f: 1
37 |   }
38 |   arg {
39 |     name: "Y_zero_point"
40 |     i: 0
41 |   }
42 | }
43 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/int8fc_4d_first_axis_predict_net.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "int8_fc_4d"
 2 | op {
 3 |   input: "input"
 4 |   input: "weights"
 5 |   input: "bias"
 6 |   output: "output_q"
 7 |   name: ""
 8 |   type: "Int8FC"
 9 |   arg {
10 |     name: "axis"
11 |     i: 1
12 |   }
13 |   arg {
14 |     name: "Y_scale"
15 |     f: 1
16 |   }
17 |   arg {
18 |     name: "Y_zero_point"
19 |     i: 0
20 |   }
21 | }
22 | op {
23 |   input: "output_q"
24 |   output: "output"
25 |   name: ""
26 |   type: "Int8Dequantize"
27 | }
28 | external_input: "input"
29 | external_input: "weights"
30 | external_input: "bias"
31 | external_output: "output"
32 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/int8sumrelu_init_net.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "init"
 2 | op {
 3 |   output: "rhs"
 4 |   type: "Int8GivenTensorFill"
 5 |   arg {
 6 |     name: "shape"
 7 |     ints: 4
 8 |     ints: 2
 9 |   }
10 |   arg {
11 |     name: "values"
12 |     s: "\1\1\1\1\1\1\1\1"
13 |   }
14 |   arg {
15 |     name: "Y_scale"
16 |     f: 1
17 |   }
18 |   arg {
19 |     name: "Y_zero_point"
20 |     i: 0
21 |   }
22 | }
23 | 
24 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/int8sumrelu_large_range_init_net.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "init"
 2 | op {
 3 |   output: "rhs"
 4 |   type: "Int8GivenTensorFill"
 5 |   arg {
 6 |     name: "shape"
 7 |     ints: 4
 8 |     ints: 2
 9 |   }
10 |   arg {
11 |     name: "values"
12 |     s: "\1\1\1\1\1\1\1\1"
13 |   }
14 |   arg {
15 |     name: "Y_scale"
16 |     f: 600.f
17 |   }
18 |   arg {
19 |     name: "Y_zero_point"
20 |     i: 127
21 |   }
22 | }
23 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/int8sumrelu_large_range_pred_net.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "conv_test"
 2 | op {
 3 |   input: "gpu_0/data_0"
 4 |   output: "qout"
 5 |   type: "Int8Quantize"
 6 |   arg {
 7 |     name: "Y_scale"
 8 |     f: 1.f
 9 |   }
10 |   arg {
11 |     name: "Y_zero_point"
12 |     i: 0
13 |   }
14 | }
15 | op {
16 |   input: "qout"
17 |   input: "rhs"
18 |   output: "out"
19 |   type: "Int8SumRelu"
20 |   arg {
21 |     name: "Y_scale"
22 |     f: 575.f
23 |   }
24 |   arg {
25 |     name: "Y_zero_point"
26 |     i: 120
27 |   }
28 | }
29 | external_output: "out"
30 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/int8sumrelu_pred_net.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "conv_test"
 2 | op {
 3 |   input: "gpu_0/data_0"
 4 |   input: "rhs"
 5 |   output: "out"
 6 |   type: "Int8SumRelu"
 7 |   arg {
 8 |     name: "Y_scale"
 9 |     f: 1
10 |   }
11 |   arg {
12 |     name: "Y_zero_point"
13 |     i: 0
14 |   }
15 | }
16 | external_output: "out"
17 | 
18 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/int8sumrelu_tiny_scale_init_net.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "init"
 2 | op {
 3 |   output: "rhs"
 4 |   type: "Int8GivenTensorFill"
 5 |   arg {
 6 |     name: "shape"
 7 |     ints: 4
 8 |     ints: 2
 9 |   }
10 |   arg {
11 |     name: "values"
12 |     s: "\1\1\1\1\1\1\1\1"
13 |   }
14 |   arg {
15 |     name: "Y_scale"
16 |     f: 7e-10
17 |   }
18 |   arg {
19 |     name: "Y_zero_point"
20 |     i: 13
21 |   }
22 | }
23 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/int8sumrelu_tiny_scale_pred_net.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "conv_test"
 2 | op {
 3 |   input: "gpu_0/data_0"
 4 |   input: "rhs"
 5 |   output: "out"
 6 |   type: "Int8SumRelu"
 7 |   arg {
 8 |     name: "Y_scale"
 9 |     f: 1e-11
10 |   }
11 |   arg {
12 |     name: "Y_zero_point"
13 |     i: 5
14 |   }
15 | }
16 | external_output: "out"
17 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/layernorm_neg_axis_pred_net.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "layer_norm"
 2 | op {
 3 |   input: "input"
 4 |   output: "result"
 5 |   name: ""
 6 |   type: "LayerNorm"
 7 |   arg {
 8 |     name: "axis"
 9 |     i: -2
10 |   }
11 |   arg {
12 |     name: "epsilon"
13 |     f: 0.05
14 |   }
15 | }
16 | external_input: "input"
17 | external_output: "result"
18 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/layernorm_pred_net.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "layer_norm"
 2 | op {
 3 |   input: "input"
 4 |   output: "result"
 5 |   name: ""
 6 |   type: "LayerNorm"
 7 |   arg {
 8 |     name: "axis"
 9 |     i: 2
10 |   }
11 |   arg {
12 |     name: "epsilon"
13 |     f: 0.05
14 |   }
15 | }
16 | external_input: "input"
17 | external_output: "result"
18 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/layernorm_weight_bias_pred_net.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "layer_norm"
 2 | op {
 3 |   input: "input"
 4 |   input: "weight"
 5 |   input: "bias"
 6 |   output: "result"
 7 |   name: ""
 8 |   type: "LayerNorm"
 9 | }
10 | external_input: "input"
11 | external_output: "result"
12 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/lengths_range_fill_predict_net.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "lengths_ranges_fill"
 2 | op {
 3 |   input: "lengths"
 4 |   output: "result"
 5 |   name: ""
 6 |   type: "LengthsRangeFill"
 7 |   arg {
 8 |     name: "maxOutputSize"
 9 |     i: 8
10 |   }
11 | }
12 | external_input: "lengths"
13 | external_output: "result"
14 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/lengths_sum.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "lengthsSum"
 2 | op {
 3 |   input: "data"
 4 |   input: "lengths"
 5 |   output: "result"
 6 |   name: ""
 7 |   type: "LengthsSum"
 8 | }
 9 | external_input: "data"
10 | external_input: "lengths"
11 | external_output: "result"
12 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/lengths_to_ranges.pbtxt:
--------------------------------------------------------------------------------
1 | name: "lengths_to_ranges"
2 | op {
3 |    input: "input"
4 |    output: "output"
5 |    type: "LengthsToRanges"
6 | }
7 | external_input: "input"
8 | external_output: "output"
9 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/lengths_to_ranges_init_net.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "init"
 2 | op {
 3 |   output: "input"
 4 |   type: "GivenTensorIntFill"
 5 |   arg {
 6 |     name: "shape"
 7 |     ints: 4
 8 |   }
 9 |   arg {
10 |     name: "values"
11 |     ints: 1
12 |     ints: 3
13 |     ints: 0
14 |     ints: 2
15 |   }
16 | }
17 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/log1p.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "log1p"
 2 | op {
 3 |   input: "input"
 4 |   output: "output"
 5 |   name: ""
 6 |   type: "Log1p"
 7 | }
 8 | external_input: "input"
 9 | external_output: "output"
10 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/logit_op_net.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "logit"
 2 | op {
 3 |   input: "inputs_0"
 4 |   output: "logit_result"
 5 |   name: ""
 6 |   type: "Logit"
 7 |   arg {
 8 |     name: "eps"
 9 |     f: 1e-6
10 |   }
11 | }
12 | external_input: "inputs_0"
13 | external_output: "logit_result"
14 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/lpnorm_p1.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "lpnorm"
 2 | op {
 3 |   input: "input"
 4 |   output: "output"
 5 |   name: ""
 6 |   type: "LpNorm"
 7 |   arg {
 8 |     name: "p"
 9 |     i: 1
10 |   }
11 |   arg {
12 |     name: "average"
13 |     i: 0
14 |   }
15 | }
16 | external_input: "input"
17 | external_output: "output"
18 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/lpnorm_p2.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "lpnorm"
 2 | op {
 3 |   input: "input"
 4 |   output: "output"
 5 |   name: ""
 6 |   type: "LpNorm"
 7 |   arg {
 8 |     name: "p"
 9 |     i: 2
10 |   }
11 |   arg {
12 |     name: "average"
13 |     i: 0
14 |   }
15 | }
16 | external_input: "input"
17 | external_output: "output"
18 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/matmul_trans_RHS_predict_net.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "matmul_trans_RHS"
 2 | op {
 3 |   input: "inputs_0"
 4 |   input: "inputs_1"
 5 |   output: "output"
 6 |   name: ""
 7 |   type: "BatchMatMul"
 8 |   arg {
 9 |     name: "broadcast"
10 |     i: 0
11 |   }
12 |   arg {
13 |     name: "trans_a"
14 |     i: 0
15 |   }
16 |   arg {
17 |     name: "trans_b"
18 |     i: 1
19 |   }
20 | }
21 | external_input: "inputs_0"
22 | external_input: "inputs_1"
23 | external_output: "output"
24 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/maxpool_legacy_padding_predict_net.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "maxpool_test"
 2 | op {
 3 |   input: "inputs"
 4 |   output: "output"
 5 |   type: "MaxPool"
 6 |   arg {
 7 |     name: "kernel"
 8 |     i: 2
 9 |   }
10 |   arg {
11 |     name: "stride"
12 |     i: 1
13 |   }
14 |   arg {
15 |     name: "pad"
16 |     i: 1
17 |   }
18 |   arg {
19 |     name: "legacy_pad"
20 |     i: 3
21 |   }
22 | }
23 | external_output: "output"
24 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/maxpool_nhwc_predict_net.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "maxpool_test"
 2 | op {
 3 |   input: "inputs"
 4 |   output: "output"
 5 |   type: "MaxPool"
 6 |   arg {
 7 |     name: "order"
 8 |     s: "NHWC"
 9 |   }
10 |   arg {
11 |     name: "kernel"
12 |     i: 2
13 |   }
14 |   arg {
15 |     name: "stride"
16 |     i: 1
17 |   }
18 |   arg {
19 |     name: "pad"
20 |     i: 1
21 |   }
22 | }
23 | external_output: "output"
24 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/maxpool_predict_net.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "maxpool_test"
 2 | op {
 3 |   input: "inputs"
 4 |   output: "output"
 5 |   type: "MaxPool"
 6 |   arg {
 7 |     name: "kernel"
 8 |     i: 2
 9 |   }
10 |   arg {
11 |     name: "stride"
12 |     i: 1
13 |   }
14 |   arg {
15 |     name: "pad"
16 |     i: 1
17 |   }
18 |   arg {
19 |     name: "legacy_pad"
20 |     i: 0
21 |   }
22 | }
23 | external_output: "output"
24 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/mean_3inputs.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "mean_3inputs"
 2 | op {
 3 |   input: "input1"
 4 |   input: "input2"
 5 |   input: "input3"
 6 |   output: "output"
 7 |   name: ""
 8 |   type: "Mean"
 9 | }
10 | external_input: "input1"
11 | external_input: "input2"
12 | external_input: "input3"
13 | external_output: "output"
14 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/modulo_op_net.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "modulo_test"
 2 | op {
 3 |   input: "data"
 4 |   arg {
 5 |     name: "divisor"
 6 |     i: 2
 7 |   }
 8 |   arg {
 9 |     name: "sign_follow_divisor"
10 |     i: 0
11 |   }
12 |   output: "output"
13 |   type: "Mod"
14 | }
15 | external_input: "data"
16 | external_output: "output"
17 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/multiple_inputs_graph.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "test-multiple-inputs"
 2 | op {
 3 |   type: "Add"
 4 |   input: "input1"
 5 |   input: "input2"
 6 |   output: "output"
 7 | }
 8 | external_input: "input1"
 9 | external_input: "input2"
10 | external_output: "output"
11 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/negative.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "negative"
 2 | op {
 3 |   input: "input"
 4 |   output: "output"
 5 |   name: ""
 6 |   type: "Negative"
 7 | }
 8 | external_input: "input"
 9 | external_output: "output"
10 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/parallel_matmul_predict_net.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "parallel_matmul"
 2 | op {
 3 |   input: "inputs_0"
 4 |   input: "inputs_1"
 5 |   output: "output"
 6 |   name: ""
 7 |   type: "BatchMatMul"
 8 | }
 9 | external_input: "inputs_0"
10 | external_input: "inputs_1"
11 | external_output: "output"
12 | 
13 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/predict_net.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "conv_test"
 2 | op {
 3 |   input: "gpu_0/data_0"
 4 |   input: "conv_w"
 5 |   input: "conv_b"
 6 |   output: "conv_out"
 7 |   type: "Conv"
 8 |   arg {
 9 |     name: "kernel"
10 |     i: 2
11 |   }
12 |   arg {
13 |     name: "stride"
14 |     i: 1
15 |   }
16 |   arg {
17 |     name: "group"
18 |     i: 1
19 |   }
20 |   arg {
21 |     name: "pad"
22 |     i: 1
23 |   }
24 |   arg {
25 |     name: "dilations"
26 |     ints: 2
27 |     ints: 2
28 |   }
29 | }
30 | external_output: "conv_out"
31 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/prelu.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "prelu"
 2 | op {
 3 |   input: "prelu_test_input"
 4 |   input: "slope"
 5 |   output: "prelu_test_output"
 6 |   type: "PRelu"
 7 | }
 8 | external_input: "prelu_test_input"
 9 | external_input: "slope"
10 | external_output: "prelu_test_output"
11 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/reduce_back_sum.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "reduce_back_sum"
 2 | op {
 3 |   input: "inputs_0"
 4 |   output: "result"
 5 |   name: ""
 6 |   type: "ReduceBackSum"
 7 | }
 8 | external_input: "inputs_0"
 9 | external_output: "result"
10 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/reducebackmean.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "reducebackmean"
 2 | op {
 3 |   input: "input"
 4 |   output: "output"
 5 |   name: ""
 6 |   type: "ReduceBackMean"
 7 | }
 8 | external_input: "input"
 9 | external_output: "output"
10 | 
11 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/replace_nan_predict_net.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "replaceNaN"
 2 | op {
 3 |   input: "input"
 4 |   output: "replace_nan_result"
 5 |   name: ""
 6 |   type: "ReplaceNaN"
 7 |   arg {
 8 |     name: "value"
 9 |     f: 1
10 |   }
11 | }
12 | external_input: "input"
13 | external_output: "replace_nan_result"
14 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/resize_nearest_op_net.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "resizenearest"
 2 | op {
 3 |   type: "ResizeNearest"
 4 |   input: "input_0"
 5 |   output: "resize_nearest_test_output"
 6 |   arg {
 7 |     name: "order"
 8 |     s: "NHWC"
 9 |   }
10 |   arg {
11 |     name: "height_scale"
12 |     f: 2.0
13 |   }
14 |   arg {
15 |     name: "width_scale"
16 |     f: 1.5
17 |   }
18 | }
19 | external_input: "input_0"
20 | external_output: "resize_nearest_test_output"
21 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/rmsnorm.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "rmsnorm"
 2 | op {
 3 |   input: "x"
 4 |   input: "gamma"
 5 |   input: "beta"
 6 |   output: "y"
 7 |   output: "rrms"
 8 |   name: ""
 9 |   type: "RMSNorm"
10 |   arg {
11 |     name: "eps"
12 |     f: 1
13 |   }
14 | }
15 | external_input: "x"
16 | external_input: "gamma"
17 | external_input: "beta"
18 | external_output: "y"
19 | external_output: "rrms"
20 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/rowwise_quantized_sparse_lengths_sum_init_net.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "rowwise_quantized_sparse_lengths_sum_init_net_test"
 2 | op {
 3 |   output: "data"
 4 |   type: "GivenTensorByteStringToUInt8Fill"
 5 |   arg {
 6 |     name: "shape"
 7 |     ints: 3
 8 |     ints: 2
 9 |   }
10 |   arg {
11 |     name: "values"
12 |     strings: "\000\377\000\377\000\377"
13 |   }
14 | }
15 | op {
16 |   output: "scales_bias"
17 |   type: "GivenTensorFill"
18 |   arg {
19 |     name: "shape"
20 |     ints: 3
21 |     ints: 2
22 |   }
23 |   arg {
24 |     name: "values"
25 |     floats: 0.00078431389
26 |     floats: 1.0
27 |     floats: 0.0043137260
28 |     floats: 2.3
29 |     floats: 0.0047058817
30 |     floats: 4.5
31 |   }
32 | }
33 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/rowwise_quantized_sparse_lengths_sum_predict_net.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "rowwise_quantized_sparse_lengths_sum_predict_net_test"
 2 | op {
 3 |   input: "data"
 4 |   input: "indices"
 5 |   input: "lengths"
 6 |   input: "scales_bias"
 7 |   output: "result"
 8 |   name: ""
 9 |   type: "SparseLengthsSum8BitsRowwise"
10 | }
11 | external_input: "indices"
12 | external_input: "lengths"
13 | external_output: "result"
14 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/rowwise_quantized_sparse_lengths_weighted_sum_predict_net.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "rowwise_quantized_sparse_lengths_weighted_sum_predict_net_test"
 2 | op {
 3 |   input: "data"
 4 |   input: "weights"
 5 |   input: "indices"
 6 |   input: "lengths"
 7 |   input: "scale_bias"
 8 |   output: "result"
 9 |   name: ""
10 |   type: "SparseLengthsWeightedSum8BitsRowwise"
11 | }
12 | external_input: "data"
13 | external_input: "weights"
14 | external_input: "indices"
15 | external_input: "lengths"
16 | external_input: "scale_bias"
17 | external_output: "result"
18 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/scale.pbtxt:
--------------------------------------------------------------------------------
 1 | name: "scale"
 2 | op {
 3 |   input: "input"
 4 |   arg {
 5 |     name: "scale"
 6 |     f: 2
 7 |   }
 8 |   output: "output"
 9 |   name: ""
10 |   type: "Scale"
11 | }
12 | external_input: "input"
13 | external_output: "output"
14 | 


--------------------------------------------------------------------------------
/tests/models/caffe2Models/sigmoid.pbtxt:
--------------------------------------------------------------------------------
1 | name: "sigmoid"
2 | op {
3 |   type: "Sigmoid"
4 |   input: "sigmoid_test_input"
5 |   output: "sigmoid_test_output"
6 | }
7 | external_input: "sigmoid_test_input"
8 | external_output: "sigmoid_test_output"
9 | 


--------------------------------------------------------------------------------
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--------------------------------------------------------------------------------
 1 | name: "sign"
 2 | op {
 3 |   input: "input"
 4 |   output: "output"
 5 |   name: ""
 6 |   type: "Sign"
 7 | }
 8 | external_input: "input"
 9 | external_output: "output"
10 | 
11 | 


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 1 | name: "softplus"
 2 | op {
 3 |   input: "input"
 4 |   output: "output"
 5 |   name: ""
 6 |   type: "Softplus"
 7 | }
 8 | external_input: "input"
 9 | external_output: "output"
10 | 
11 | 
12 | 


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 1 | name: "sparseToDense"
 2 | op {
 3 |   input: "indices"
 4 |   input: "values"
 5 |   input: "dataToInferDim"
 6 |   output: "dense_result"
 7 |   name: ""
 8 |   type: "SparseToDense"
 9 | }
10 | external_input: "indices"
11 | external_input: "values"
12 | external_input: "dataToInferDim"
13 | external_output: "dense_result"
14 | 


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 1 | name: "sparse_to_dense_mask"
 2 | op {
 3 |   input: "indices"
 4 |   input: "values"
 5 |   input: "defaultValue"
 6 |   arg {
 7 |     name: "mask"
 8 |     ints: 42
 9 |     ints: 100
10 |     ints: 300
11 |     ints: 1
12 |     ints: 0
13 |     ints: 312
14 |   }
15 |   output: "output"
16 |   type: "SparseToDenseMask"
17 | }
18 | external_input: "indices"
19 | external_input: "values"
20 | external_input: "defaultValue"
21 | external_output: "output"
22 | 


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 1 | name: "square"
 2 | op {
 3 |   input: "input"
 4 |   output: "result"
 5 |   name: ""
 6 |   type: "Sqr"
 7 | }
 8 | external_input: "inputs"
 9 | external_output: "result"
10 | 


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 1 | name: "swish"
 2 | op {
 3 |   input: "input"
 4 |   output: "swish_result"
 5 |   name: ""
 6 |   type: "Swish"
 7 | }
 8 | external_input: "input"
 9 | external_output: "swish_result"
10 | 


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 1 | name: "topk_k2"
 2 | op {
 3 |   input: "input"
 4 |   output: "values"
 5 |   output: "indices"
 6 |   name: ""
 7 |   type: "TopK"
 8 |   arg {
 9 |     name: "k"
10 |     i: 2
11 |   }
12 | }
13 | external_input: "input"
14 | external_output: "values"
15 | external_output: "indices"
16 | 
17 | 
18 | 


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 1 | name: "uniform_fill_input_as_shape"
 2 | op {
 3 |   input: "inputs_0"
 4 |   output: "result"
 5 |   name: ""
 6 |   type: "UniformFill"
 7 |   arg {
 8 |     name: "min"
 9 |     f: 0.0
10 |   }
11 |   arg {
12 |     name: "max"
13 |     f: 10.0
14 |   }
15 |   arg {
16 |     name: "input_as_shape"
17 |     i: 1
18 |   }
19 | }
20 | external_input: "inputs_0"
21 | external_output: "result"
22 | 


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 1 | name: "uniform_fill_use_input_shape"
 2 | op {
 3 |   input: "inputs_0"
 4 |   output: "result"
 5 |   name: ""
 6 |   type: "UniformFill"
 7 |   arg {
 8 |     name: "min"
 9 |     f: 0.0
10 |   }
11 |   arg {
12 |     name: "max"
13 |     f: 10.0
14 |   }
15 | }
16 | external_input: "inputs_0"
17 | external_output: "result"
18 | 


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--------------------------------------------------------------------------------
 1 | vuzelac:m
 2 | 
 3 | 
X
 4 | 
Y
Z"AddmultiInput-modelZ
 5 | 
X
 6 | 

 7 | 

 8 | 
 9 | Z
10 | 
Y
11 | 

12 | 

13 | 
14 | b
15 | 
Z
16 | 

17 | 

18 | 
19 | B


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 1 | vuzelac:y
 2 | 
 3 | 
X
 4 | 
Y
Z"AddmultiInput-modelZ
 5 | 
X
 6 | 

 7 | 

 8 | 
 9 | 
10 | Z
11 | 
Y
12 | 

13 | 

14 | 
15 | 
16 | b
17 | 
Z
18 | 

19 | 

20 | 
21 | 
22 | B


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 1 | ir_version: 6
 2 | producer_name: "onnx-example"
 3 | 
 4 | graph {
 5 |   node {
 6 |     input: "input0"
 7 |     output: "output0"
 8 |     op_type: "Identity"
 9 |   }
10 |   initializer {
11 |     dims: 3
12 |     data_type: 9
13 |     int32_data: 1
14 |     int32_data: 0
15 |     int32_data: 1
16 |     name: "input0"
17 |   }
18 |   output {
19 |     name: "output0"
20 |     type {
21 |       tensor_type {
22 |         elem_type: 9
23 |         shape {
24 |           dim {
25 |             dim_value: 3
26 |           }
27 |         }
28 |       }
29 |     }
30 |   }
31 | }
32 | opset_import {
33 |   version: 11
34 | }
35 | 
36 | 


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 1 | ir_version: 3
 2 | producer_name: "backend-test"
 3 | graph {
 4 |   node {
 5 |     output: "output"
 6 |     op_type: "Constant"
 7 |     attribute {
 8 |       name: "value"
 9 |       t {
10 |         dims: 3
11 |         data_type: 6
12 |         name: "split_info"
13 |         raw_data: "\001\000\000\000\001\000\000\000\001\000\000\000"
14 |       }
15 |       type: TENSOR
16 |     }
17 |   }
18 |   output {
19 |     name: "output"
20 |     type {
21 |       tensor_type {
22 |         elem_type: 6
23 |         shape {
24 |           dim {
25 |             dim_value: 3
26 |           }
27 |         }
28 |       }
29 |     }
30 |   }
31 | }
32 | opset_import {
33 |   version: 9
34 | }
35 | 


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--------------------------------------------------------------------------------
 1 | ir_version: 3
 2 | producer_name: "glow-test"
 3 | graph {
 4 |   node {
 5 |     input: "x"
 6 |     output: "y"
 7 |     name: "LeakyRelu"
 8 |     op_type: "LeakyRelu"
 9 |   }
10 |   name: "test_leaky_relu"
11 |   input {
12 |     name: "x"
13 |     type {
14 |       tensor_type {
15 |         elem_type: 1
16 |         shape {
17 |           dim {
18 |             dim_value: 7
19 |           }
20 |         }
21 |       }
22 |     }
23 |   }
24 |   output {
25 |     name: "y"
26 |     type {
27 |       tensor_type {
28 |         elem_type: 1
29 |         shape {
30 |           dim {
31 |             dim_value: 7
32 |           }
33 |         }
34 |       }
35 |     }
36 |   }
37 | }
38 | opset_import {
39 |   version: 9
40 | }
41 | 


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/tests/models/onnxModels/sum1.onnxtxt:
--------------------------------------------------------------------------------
 1 | ir_version: 3
 2 | producer_name: "backend-test"
 3 | graph {
 4 |   node {
 5 |     input: "x"
 6 |     output: "y"
 7 |     op_type: "Sum"
 8 |   }
 9 |   name: "test_sum_with_1_input"
10 |   input {
11 |     name: "x"
12 |     type {
13 |       tensor_type {
14 |         elem_type: 1
15 |         shape {
16 |           dim {
17 |             dim_value: 3
18 |           }
19 |         }
20 |       }
21 |     }
22 |   }
23 |   output {
24 |     name: "y"
25 |     type {
26 |       tensor_type {
27 |         elem_type: 1
28 |         shape {
29 |           dim {
30 |             dim_value: 3
31 |           }
32 |         }
33 |       }
34 |     }
35 |   }
36 | }
37 | opset_import {
38 |   version: 9
39 | }
40 | 


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/tests/runtime_test/CMakeLists.txt:
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1 | # Copy the models to the build directory.
2 | 
3 | file(GLOB files RELATIVE ${CMAKE_CURRENT_SOURCE_DIR} *.yaml)
4 | foreach(filename ${files})
5 |   configure_file(${filename} ${CMAKE_CURRENT_BINARY_DIR}/${filename} COPYONLY)
6 | endforeach(filename)
7 | 
8 | 


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/tests/runtime_test/backendSpecificOpts.yaml:
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1 | ---
2 | backendOption1: 'foo'
3 | backendOption2: 'bar'
4 | ...
5 | 


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/tests/runtime_test/cpuConfigs.yaml:
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 1 | ---
 2 | - name:     Device1
 3 |   backendName: CPU
 4 |   parameters: |
 5 |     "platformID":"1"
 6 |     "deviceID" : "0"
 7 | - name:     Device2
 8 |   backendName: CPU
 9 |   parameters: |
10 |     "platformID":"1"
11 | ...
12 | 
13 | 


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/tests/runtime_test/heterogeneousConfigs.yaml:
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 1 | ---
 2 | - name:     Device1
 3 |   backendName: CPU
 4 |   parameters: |
 5 |     "nonSupportedNodes":"AvgPool"
 6 |     "deviceID" : "0"
 7 | - name:     Device2
 8 |   backendName: CPU
 9 |   parameters: |
10 |     "nonSupportedNodes":"AvgPool"
11 | - name:     Device3
12 |   backendName: Interpreter
13 |   parameters: |
14 |     "supportedNodes":""
15 | ...
16 | 


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/tests/stress/CMakeLists.txt:
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1 | set(CMAKE_RUNTIME_OUTPUT_DIRECTORY ${GLOW_BINARY_DIR}/tests/stress/)
2 | 
3 | # Loop through all backends present in lib/Backends (see FindBackends.cmake)
4 | # and instantiate a backend-parameterized test for each of them.
5 | foreach(backend ${GLOW_BACKENDS})
6 |   add_backend_test(TEST ParameterSweepTest BACKEND "${backend}" UNOPT STRESS)
7 |   add_backend_test(TEST SparseLengthsSumTest BACKEND "${backend}" UNOPT STRESS)
8 | endforeach()
9 | 


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/tools/CMakeLists.txt:
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1 | add_subdirectory(Debugger)
2 | add_subdirectory(ClassGen)
3 | add_subdirectory(IncludeBin)
4 | if(PNG_FOUND)
5 |   add_subdirectory(loader)
6 |   add_subdirectory(png2bin)
7 | endif()
8 | 


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/tools/Debugger/CMakeLists.txt:
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 1 | if (GLOW_BUILD_TESTS)
 2 | add_executable(network-debugger
 3 |                network-debugger.cpp
 4 |                NetworkComparator.cpp)
 5 | 
 6 | target_link_libraries(network-debugger
 7 |                       PRIVATE
 8 |                         BackendTestUtils
 9 |                         Importer
10 |                         HostManager
11 |                         ExecutionEngine)
12 | endif()
13 | 


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/tools/IncludeBin/CMakeLists.txt:
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1 | add_executable(include-bin
2 |                IncludeBin.cpp)
3 | 


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/tools/png2bin/CMakeLists.txt:
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1 | add_executable(png2bin
2 |   png2bin.cpp)
3 | 
4 | target_link_libraries(png2bin
5 |                       PRIVATE
6 |                         Base
7 |                         QuantizationBase
8 |                         Support)
9 | 


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/torch_glow/setup.cfg:
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1 | [aliases]
2 | test=pytest
3 | 
4 | [tool:pytest]
5 | testpaths = tests
6 | addopts = --verbose --forked
7 | 


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/torch_glow/tests/conftest.py:
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 1 | # isort:skip_file
 2 | from __future__ import absolute_import, division, print_function, unicode_literals
 3 | 
 4 | import torch_glow
 5 | 
 6 | 
 7 | def pytest_addoption(parser):
 8 |     parser.addoption("--backend", action="store", default=None)
 9 | 
10 | 
11 | def pytest_sessionstart(session):
12 |     backend = session.config.getoption("--backend")
13 |     if backend:
14 |         torch_glow.setGlowBackend(backend)
15 | 


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/torch_glow/torch_glow/__init__.py:
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1 | from ._torch_glow import *
2 | from .to_glow import *
3 | 


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/utils/docker/build.sh:
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 1 | #!/usr/bin/env bash
 2 | 
 3 | # Copyright (c) Glow Contributors. See CONTRIBUTORS file.
 4 | #
 5 | # Licensed under the Apache License, Version 2.0 (the "License");
 6 | # you may not use this file except in compliance with the License.
 7 | # You may obtain a copy of the License at
 8 | #
 9 | #     http://www.apache.org/licenses/LICENSE-2.0
10 | #
11 | # Unless required by applicable law or agreed to in writing, software
12 | # distributed under the License is distributed on an "AS IS" BASIS,
13 | # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
14 | # See the License for the specific language governing permissions and
15 | # limitations under the License.
16 | 
17 | docker build -t pytorch/glow .
18 | 


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/utils/glow-trace-concat.sh:
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1 | #!/bin/bash
2 | 
3 | echo "["
4 | tail -q -n +2 $@ | grep -h '"ph":"M"' | sort | uniq
5 | tail -q -n +2 $@ | grep -h -v '"ph":"M"'
6 | 


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