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https://github.com/pytorch/pytorch.git
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0a4117a36e
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/18826 ghimport-source-id: 7ffa3bc7ef7402a6d6eb6ba5849e197019d77bf8 Stack from [ghstack](https://github.com/ezyang/ghstack): * **#18826 [jit] run cpp tests for non-cuda builds in test_jit.py** We did all the work of nicely separating our cpp tests that don't require CUDA, but they aren't run from test_jit.py if CUDA is missing. Reviewed By: ZolotukhinM Differential Revision: D14766287 fbshipit-source-id: 9326b3a5c90f6c20fc8cfaf1a1885a363b91f30a
106 lines
3.2 KiB
C++
106 lines
3.2 KiB
C++
#if defined(USE_GTEST)
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#include <gtest/gtest.h>
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#endif
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// To add a new test file:
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// 1. Add a test_foo.h file in this directory
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// 2. include test_base.h
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// 3. Write your tests as pure functions starting with "test", like "testFoo"
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// 4. Include test_foo.h here and add it to the appropriate macro listing
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#include <test/cpp/jit/test_alias_analysis.h>
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#include <test/cpp/jit/test_argument_spec.h>
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#include <test/cpp/jit/test_autodiff.h>
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#include <test/cpp/jit/test_class_parser.h>
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#include <test/cpp/jit/test_code_template.h>
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#include <test/cpp/jit/test_constant_pooling.h>
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#include <test/cpp/jit/test_create_autodiff_subgraphs.h>
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#include <test/cpp/jit/test_custom_operators.h>
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#include <test/cpp/jit/test_dynamic_dag.h>
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#include <test/cpp/jit/test_fuser.h>
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#include <test/cpp/jit/test_graph_executor.h>
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#include <test/cpp/jit/test_interpreter.h>
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#include <test/cpp/jit/test_ir.h>
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#include <test/cpp/jit/test_irparser.h>
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#include <test/cpp/jit/test_ivalue.h>
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#include <test/cpp/jit/test_misc.h>
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#include <test/cpp/jit/test_netdef_converter.h>
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#include <test/cpp/jit/test_peephole_optimize.h>
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#include <test/cpp/jit/test_subgraph_utils.h>
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using namespace torch::jit::script;
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using namespace torch::jit::test;
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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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_(CodeTemplate) \
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_(ControlFlow) \
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_(CreateAutodiffSubgraphs) \
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_(CustomOperators) \
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_(Differentiate) \
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_(DifferentiateWithRequiresGrad) \
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_(DynamicDAG) \
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_(FromQualString) \
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_(InternedStrings) \
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_(IValue) \
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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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_(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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_(NetDefConverter) \
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_(THNNConv) \
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_(ATenNativeBatchNorm) \
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_(NoneSchemaMatch) \
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_(ClassParser) \
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_(PeepholeOptimize) \
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_(RecordFunction)
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#define TH_FORALL_TESTS_CUDA(_) \
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_(ArgumentSpec) \
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_(Fusion) \
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_(GraphExecutor) \
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_(Interp)
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#if defined(USE_GTEST)
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#define JIT_GTEST(name) \
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TEST(JitTest, name) { \
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test##name(); \
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}
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TH_FORALL_TESTS(JIT_GTEST)
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#undef JIT_TEST
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#define JIT_GTEST_CUDA(name) \
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TEST(JitTest, name##_CUDA) { \
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test##name(); \
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}
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TH_FORALL_TESTS_CUDA(JIT_GTEST_CUDA)
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#undef JIT_TEST_CUDA
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#endif
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#define JIT_TEST(name) test##name();
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void runJITCPPTests(bool runCuda) {
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TH_FORALL_TESTS(JIT_TEST)
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if (runCuda) {
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TH_FORALL_TESTS_CUDA(JIT_TEST)
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}
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// This test is special since it requires prior setup in python.
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// So it's included here but not in the pure cpp gtest suite
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testEvalModeForLoadedModule();
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}
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#undef JIT_TEST
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} // namespace jit
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} // namespace torch
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