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https://github.com/zebrajr/pytorch.git
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a9b0a921d5
Summary: As GoogleTest `TEST` macro is non-compliant with it as well as `DEFINE_DISPATCH` All changes but the ones to `.clang-tidy` are generated using following script: ``` for i in `find . -type f -iname "*.c*" -or -iname "*.h"|xargs grep cppcoreguidelines-avoid-non-const-global-variables|cut -f1 -d:|sort|uniq`; do sed -i "/\/\/ NOLINTNEXTLINE(cppcoreguidelines-avoid-non-const-global-variables)/d" $i; done ``` Pull Request resolved: https://github.com/pytorch/pytorch/pull/62008 Reviewed By: driazati, r-barnes Differential Revision: D29838584 Pulled By: malfet fbshipit-source-id: 1b2f8602c945bd4ce50a9bfdd204755556e31d13
74 lines
2.3 KiB
C++
74 lines
2.3 KiB
C++
#include <torch/script.h>
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#include <gtest/gtest.h>
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#include <test/cpp/api/support.h>
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using namespace torch::autograd;
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using namespace torch::test;
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TEST(GradModeTest, TestRequiresGradFunctionalOp) {
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torch::AutoGradMode mode(false);
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for (bool requires_grad : {true, false}) {
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torch::Tensor c = torch::ones({1, 2, 3}).set_requires_grad(requires_grad);
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torch::Tensor func_out = c * c;
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ASSERT_FALSE(func_out.requires_grad());
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ASSERT_TRUE(func_out.is_leaf());
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}
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}
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TEST(GradModeTest, TestRequiresGradInplaceOp) {
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torch::AutoGradMode mode(false);
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for (bool requires_grad : {true, false}) {
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torch::Tensor c = torch::ones({1, 2, 3}).set_requires_grad(requires_grad);
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c.mul_(2);
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ASSERT_EQ(c.requires_grad(), requires_grad);
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}
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}
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TEST(GradModeTest, TestRequiresGradViewOp) {
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torch::AutoGradMode mode(false);
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for (bool requires_grad : {true, false}) {
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torch::Tensor c = torch::ones({1, 2, 3}).set_requires_grad(requires_grad);
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torch::Tensor view_out = c.view({2, 3});
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ASSERT_EQ(view_out.requires_grad(), requires_grad);
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ASSERT_TRUE(view_out.is_leaf());
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}
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}
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TEST(GradModeTest, TestRequiresGradViewOpExiting) {
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for (bool requires_grad: {true, false}) {
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torch::Tensor s = torch::ones({1, 2, 3}).set_requires_grad(requires_grad);
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torch::Tensor a = s.clone();
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torch::Tensor view_out, tmp;
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{
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torch::AutoGradMode mode(false);
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view_out = a.view({2, 3}); // go through kernels: VariableType, ADInplaceOrView, CPU
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assert_tensor_creation_meta(view_out, torch::autograd::CreationMeta::NO_GRAD_MODE);
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ASSERT_EQ(view_out.requires_grad(), requires_grad);
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ASSERT_TRUE(view_out.is_leaf());
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}
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tmp = view_out * view_out;
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ASSERT_EQ(tmp.requires_grad(), requires_grad);
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if (requires_grad) {
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tmp.backward(torch::ones_like(tmp));
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// TODO: this behavior is a side effect of issue #11390.
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ASSERT_FALSE(view_out.grad().defined());
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}
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if (requires_grad) {
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ASSERT_THROWS_WITH(view_out.mul_(2), // go through kernels: VariableType, ADInplaceOrView, CPU
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"A view was created in no_grad mode and is being modified inplace");
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} else {
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view_out.mul_(2);
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}
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tmp = view_out.view({2, 3});
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ASSERT_EQ(tmp.requires_grad(), requires_grad);
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assert_tensor_creation_meta(tmp, torch::autograd::CreationMeta::NO_GRAD_MODE);
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}
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}
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