mirror of
https://github.com/saymrwulf/pytorch.git
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8210b2054e
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/34985 IValue is part of the overall runtime system, not just the JIT. So it should be tested in the ATen tests. The real motivation though is so that I can use gtest directly, not the hacked-up version the JIT uses. Test Plan: Imported from OSS Differential Revision: D20537902 Pulled By: suo fbshipit-source-id: 09897e015ecde24aa8996babeaa08d98db90ef0d
113 lines
4.1 KiB
C++
113 lines
4.1 KiB
C++
#pragma once
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/**
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* See README.md for instructions on how to add a new test.
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*/
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#include <torch/csrc/WindowsTorchApiMacro.h>
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#include <c10/macros/Export.h>
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namespace torch {
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namespace jit {
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#define TH_FORALL_TESTS(_) \
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_(ADFormulas) \
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_(Attributes) \
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_(Blocks) \
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_(CallStack) \
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_(CallStackCaching) \
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_(CodeTemplate) \
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_(ControlFlow) \
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_(CreateAutodiffSubgraphs) \
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_(CustomOperators) \
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_(CustomOperatorAliasing) \
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_(IValueKWargs) \
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_(CustomFusion) \
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_(SchemaMatching) \
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_(Differentiate) \
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_(DifferentiateWithRequiresGrad) \
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_(FromQualString) \
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_(InternedStrings) \
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_(PassManagement) \
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_(Proto) \
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_(RegisterFusionCachesKernel) \
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_(SchemaParser) \
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_(TopologicalIndex) \
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_(TopologicalMove) \
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_(SubgraphUtils) \
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_(AliasAnalysis) \
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_(ContainerAliasing) \
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_(AliasRegistration) \
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_(WriteTracking) \
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_(Wildcards) \
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_(MemoryDAG) \
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_(IRParser) \
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_(ConstantPooling) \
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_(THNNConv) \
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_(ATenNativeBatchNorm) \
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_(NoneSchemaMatch) \
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_(ClassParser) \
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_(UnifyTypes) \
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_(Profiler) \
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_(InsertAndEliminateRedundantGuards) \
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_(InsertBailOuts) \
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_(PeepholeOptimize) \
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_(RecordFunction) \
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_(ThreadLocalDebugInfo) \
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_(SubgraphMatching) \
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_(SubgraphRewriter) \
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_(ModuleClone) \
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_(ModuleCloneInstance) \
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_(ModuleConstant) \
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_(ModuleParameter) \
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_(ModuleDefine) \
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_(QualifiedName) \
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_(ClassImport) \
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_(ProfiledTensorTypeHashing) \
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_(ScriptObject) \
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_(SaveExtraFilesHook) \
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_(TypeTags) \
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_(DCE) \
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_(CustomFusionNestedBlocks) \
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_(ClassDerive) \
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_(SaveLoadTorchbind) \
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_(ModuleInterfaceSerialization) \
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_(ClassTypeAddRemoveAttr) \
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_(Inliner) \
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_(LiteInterpreterAdd) \
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_(LiteInterpreterConv) \
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_(LiteInterpreterInline) \
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_(LiteInterpreterTuple) \
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_(LiteInterpreterUpsampleNearest2d) \
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_(CommonAncestor) \
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_(AutogradSymbols) \
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_(MobileTypeParser) \
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_(LiteInterpreterBuiltinFunction) \
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_(LiteInterpreterPrim) \
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_(LiteInterpreterLoadOrigJit) \
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_(LiteInterpreterWrongMethodName) \
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_(LiteInterpreterParams) \
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_(LiteInterpreterSetState) \
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_(TorchbindIValueAPI)
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#define TH_FORALL_TESTS_CUDA(_) \
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_(ArgumentSpec) \
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_(CompleteArgumentSpec) \
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_(Fusion) \
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_(GraphExecutor) \
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_(ModuleConversion) \
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_(Interp)
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#define DECLARE_JIT_TEST(name) void test##name();
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TH_FORALL_TESTS(DECLARE_JIT_TEST)
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TH_FORALL_TESTS_CUDA(DECLARE_JIT_TEST)
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#undef DECLARE_JIT_TEST
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// This test is special since it requires prior setup in python.
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// So it is not part of the general test list (which is shared between the gtest
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// and python test runners), but is instead invoked manually by the
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// torch_python_test.cpp
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void testEvalModeForLoadedModule();
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void testSerializationInterop();
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void testTorchSaveError();
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} // namespace jit
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} // namespace torch
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