mirror of
https://github.com/zebrajr/pytorch.git
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9e22d15f14
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/35454 Differential Revision: D20665160 Pulled By: Krovatkin fbshipit-source-id: e04cbe92b2ee5a3288f3c4e5c83533bfea85bf85
43 lines
996 B
C++
43 lines
996 B
C++
#include <c10/util/Exception.h>
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#include <test/cpp/jit/tests.h>
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#include <test/cpp/tensorexpr/tests.h>
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namespace torch {
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namespace jit {
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#ifdef _MSC_VER
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#define JIT_TEST_API
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#else
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#define JIT_TEST_API TORCH_API
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#endif
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#define JIT_TEST(name) test##name();
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JIT_TEST_API 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 is not part of the general test list (which is shared between the
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// gtest and python test runners), but is instead invoked manually by the
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// torch_python_test.cpp
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testEvalModeForLoadedModule();
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testTorchSaveError();
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}
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#undef JIT_TEST
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#define JIT_TEST(name) test##name();
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JIT_TEST_API void runTENSOREXPRCPPTests(bool runCuda) {
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TH_FORALL_TENSOREXPR_TESTS(JIT_TEST)
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if (runCuda) {
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#ifdef USE_CUDA
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TH_FORALL_TENSOREXPR_TESTS_CUDA(JIT_TEST)
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#endif
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}
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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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