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f9d07ae644
Summary: Fixes https://github.com/pytorch/xla/issues/3490. Updates `torch::lazy::BackendDevice` with changes below: 1. Remove the no-op string constructor. 2. Update default ordinal to `-1`. 3. Add a `is_valid` function to check if `ordinal` is valid/non-default (`ordinal >= 0`). Pull Request resolved: https://github.com/pytorch/pytorch/pull/76264 Reviewed By: mrshenli Differential Revision: D35860266 Pulled By: alanwaketan fbshipit-source-id: 554ebe16a0683d37b00270c4f35163bf690bfe28 (cherry picked from commit b941d10e8545dfecfb34e4d5c24a29a1cc49bc4b)
111 lines
3.1 KiB
C++
111 lines
3.1 KiB
C++
#include <gtest/gtest.h>
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#include <sstream>
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#include <c10/core/Device.h>
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#include <torch/csrc/lazy/backend/backend_device.h>
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#include <torch/torch.h>
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namespace torch {
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namespace lazy {
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TEST(BackendDeviceTest, BackendDeviceType) {
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auto type = BackendDeviceType();
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EXPECT_EQ(type.type, 0);
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EXPECT_STREQ(type.toString().c_str(), "Unknown");
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}
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TEST(BackendDeviceTest, Basic1) {
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auto device = BackendDevice();
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EXPECT_EQ(device.type(), 0);
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EXPECT_EQ(device.ordinal(), -1);
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EXPECT_FALSE(device.has_index());
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EXPECT_STREQ(device.toString().c_str(), "Unknown");
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}
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TEST(BackendDeviceTest, Basic2) {
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auto type = std::make_shared<BackendDeviceType>();
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type->type = 1;
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auto device = BackendDevice(std::move(type), 1);
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EXPECT_EQ(device.type(), 1);
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EXPECT_EQ(device.ordinal(), 1);
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EXPECT_TRUE(device.has_index());
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EXPECT_STREQ(device.toString().c_str(), "Unknown1");
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}
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TEST(BackendDeviceTest, Basic3) {
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struct TestType : public BackendDeviceType {
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std::string toString() const override { return "Test"; }
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};
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auto device = BackendDevice(std::make_shared<TestType>(), 1);
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EXPECT_EQ(device.type(), 0);
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EXPECT_EQ(device.ordinal(), 1);
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EXPECT_TRUE(device.has_index());
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EXPECT_STREQ(device.toString().c_str(), "Test1");
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}
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TEST(BackendDeviceTest, Compare) {
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auto type = std::make_shared<BackendDeviceType>();
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type->type = 1;
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auto device1 = BackendDevice(std::make_shared<BackendDeviceType>(), 1);
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auto device2 = BackendDevice(std::move(type), 0);
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auto device3 = BackendDevice(std::make_shared<BackendDeviceType>(), 2);
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auto device4 = BackendDevice(std::make_shared<BackendDeviceType>(), 1);
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EXPECT_NE(device1, device2);
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EXPECT_NE(device1, device3);
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EXPECT_EQ(device1, device4);
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EXPECT_LT(device1, device2);
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EXPECT_LT(device1, device3);
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}
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TEST(BackendDeviceTest, Ostream) {
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auto device = BackendDevice();
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std::stringstream ss;
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ss << device;
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EXPECT_EQ(device.toString(), ss.str());
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}
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TEST(BackendDeviceTest, FromAten) {
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auto device = c10::Device(c10::kCPU);
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EXPECT_THROW(atenDeviceToBackendDevice(device), c10::Error);
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device = c10::Device(c10::kLazy);
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#ifndef FBCODE_CAFFE2
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auto backend_device = atenDeviceToBackendDevice(device);
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#else
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// Lazy Tensor is disabled in FBCODE until addressing non-virtual methods (e.g. sizes) in TensorImpl
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EXPECT_THROW(atenDeviceToBackendDevice(device), c10::Error);
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#endif // FBCODE_CAFFE2
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}
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TEST(BackendDeviceTest, ToAten) {
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auto device = backendDeviceToAtenDevice(BackendDevice());
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EXPECT_EQ(device.type(), c10::kLazy);
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EXPECT_FALSE(device.has_index());
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EXPECT_EQ(device.index(), -1);
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}
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// TODO(alanwaketan): Update the following test once we have TorchScript backend upstreamed.
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TEST(BackendDeviceTest, GetBackendDevice1) {
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auto tensor = torch::rand({0, 1, 3, 0});
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EXPECT_FALSE(GetBackendDevice(tensor));
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}
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TEST(BackendDeviceTest, GetBackendDevice2) {
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auto tensor1 = torch::rand({0, 1, 3, 0});
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auto tensor2 = torch::rand({0, 1, 3, 0});
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// TODO(alanwaketan): Cover the test case for GetBackendDevice().
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EXPECT_FALSE(GetBackendDevice(tensor1, tensor2));
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}
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} // namespace lazy
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} // namespace torch
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