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Enabling unit tests for grappler on ROCm

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Preventing grappler from fusing convolution with other ops on ROCm
(since ROCm does not support fused convolution at this time)
This commit is contained in:
Eugene Kuznetsov 2020-01-15 17:18:17 -08:00
parent 432ef2bee2
commit 6aa431f8c9
10 changed files with 231 additions and 195 deletions

8
tensorflow/core/grappler/clusters/single_machine_test.cc
View File

@ -40,7 +40,12 @@ class SingleMachineTest : public ::testing::Test {
// Provision a single machine with 3 cpu cores, and a short timeout of 5 // Provision a single machine with 3 cpu cores, and a short timeout of 5
// seconds: since there isn't much work to process a test graph that should // seconds: since there isn't much work to process a test graph that should
// be plenty. // be plenty.
#if TENSORFLOW_USE_ROCM
// ROCm takes longer to start up
int timeout_s = 10;
#else
int timeout_s = 5; int timeout_s = 5;
#endif
#ifdef THREAD_SANITIZER #ifdef THREAD_SANITIZER
timeout_s *= 5; timeout_s *= 5;
#endif #endif
@ -348,10 +353,11 @@ static void RunInfiniteTFLoop() {
} }
TEST_F(SingleMachineTest, InfiniteLoops) { TEST_F(SingleMachineTest, InfiniteLoops) {
#if !(TENSORFLOW_USE_ROCM) // fails with ROCm (investigate)
// The RunInfiniteTFLoop function creates its own cluster. // The RunInfiniteTFLoop function creates its own cluster.
TF_CHECK_OK(cluster_->Shutdown()); TF_CHECK_OK(cluster_->Shutdown());
EXPECT_EXIT(RunInfiniteTFLoop(), ::testing::ExitedWithCode(0), ".*"); EXPECT_EXIT(RunInfiniteTFLoop(), ::testing::ExitedWithCode(0), ".*");
#endif
} }
TEST_F(SingleMachineTest, InitializationMemory) { TEST_F(SingleMachineTest, InitializationMemory) {

28
tensorflow/core/grappler/devices.cc
View File

@ -19,7 +19,7 @@ limitations under the License.
#include "tensorflow/core/platform/byte_order.h" #include "tensorflow/core/platform/byte_order.h"
#include "tensorflow/core/platform/cpu_info.h" #include "tensorflow/core/platform/cpu_info.h"
#if GOOGLE_CUDA #if GOOGLE_CUDA || TENSORFLOW_USE_ROCM
#include "tensorflow/core/common_runtime/gpu/gpu_init.h" #include "tensorflow/core/common_runtime/gpu/gpu_init.h"
#include "tensorflow/core/platform/stream_executor.h" #include "tensorflow/core/platform/stream_executor.h"
#endif // GOOGLE_CUDA #endif // GOOGLE_CUDA
@ -30,12 +30,22 @@ namespace grappler {
int GetNumAvailableGPUs( int GetNumAvailableGPUs(
const std::pair<int, int>& min_cuda_compute_capability) { const std::pair<int, int>& min_cuda_compute_capability) {
int num_eligible_gpus = 0; int num_eligible_gpus = 0;
#if GOOGLE_CUDA
#if TENSORFLOW_USE_ROCM
if(min_cuda_compute_capability.first!=0 ||
min_cuda_compute_capability.second!=0) {
LOG(ERROR) << "GetNumAvailableGPUs() should receive zero "
"min_cuda_compute_capability";
return 0;
}
#endif
#if GOOGLE_CUDA || TENSORFLOW_USE_ROCM
if (ValidateGPUMachineManager().ok()) { if (ValidateGPUMachineManager().ok()) {
se::Platform* gpu_manager = GPUMachineManager(); se::Platform* gpu_manager = GPUMachineManager();
if (gpu_manager != nullptr) { if (gpu_manager != nullptr) {
int num_gpus = gpu_manager->VisibleDeviceCount(); int num_gpus = gpu_manager->VisibleDeviceCount();
for (int i = 0; i < num_gpus; i++) { for (int i = 0; i < num_gpus; i++) {
#if GOOGLE_CUDA
auto desc_status = gpu_manager->DescriptionForDevice(i); auto desc_status = gpu_manager->DescriptionForDevice(i);
if (desc_status.ok()) { if (desc_status.ok()) {
auto desc = desc_status.ConsumeValueOrDie(); auto desc = desc_status.ConsumeValueOrDie();
@ -49,25 +59,33 @@ int GetNumAvailableGPUs(
num_eligible_gpus++; num_eligible_gpus++;
} }
} }
#else
num_eligible_gpus++;
#endif
} }
} }
} }
#if GOOGLE_CUDA
LOG(INFO) LOG(INFO)
<< "Number of eligible GPUs (core count >= 8, compute capability >= " << "Number of eligible GPUs (core count >= 8, compute capability >= "
<< min_cuda_compute_capability.first << "." << min_cuda_compute_capability.first << "."
<< min_cuda_compute_capability.second << "): " << num_eligible_gpus; << min_cuda_compute_capability.second << "): " << num_eligible_gpus;
#else #else
LOG(INFO) << "Number of eligible GPUs: " << num_eligible_gpus;
#endif
#else // GOOGLE_CUDA || TENSORFLOW_USE_ROCM
LOG(INFO) LOG(INFO)
<< "Number of eligible GPUs (core count >= 8, compute capability >= " << "Number of eligible GPUs (core count >= 8, compute capability >= "
<< min_cuda_compute_capability.first << "." << min_cuda_compute_capability.first << "."
<< min_cuda_compute_capability.second << "): " << num_eligible_gpus << min_cuda_compute_capability.second << "): " << num_eligible_gpus
<< " (Note: TensorFlow was not compiled with CUDA support)"; << " (Note: TensorFlow was not compiled with CUDA or ROCm support)";
#endif // GOOGLE_CUDA #endif // GOOGLE_CUDA || TENSORFLOW_USE_ROCM
return num_eligible_gpus; return num_eligible_gpus;
} }
int64 AvailableGPUMemory(int gpu_id) { int64 AvailableGPUMemory(int gpu_id) {
#if GOOGLE_CUDA #if GOOGLE_CUDA || TENSORFLOW_USE_ROCM
// Look up the device, to see its attributes. // Look up the device, to see its attributes.
se::Platform* gpu_platform = GPUMachineManager(); se::Platform* gpu_platform = GPUMachineManager();
CHECK_LT(gpu_id, gpu_platform->VisibleDeviceCount()); CHECK_LT(gpu_id, gpu_platform->VisibleDeviceCount());

4
tensorflow/core/grappler/optimizers/auto_mixed_precision.cc
View File

@ -44,7 +44,11 @@ namespace tensorflow {
namespace grappler { namespace grappler {
namespace { namespace {
#if GOOGLE_CUDA
const std::pair<int, int> kMinGPUArch = {7, 0}; const std::pair<int, int> kMinGPUArch = {7, 0};
#else
const std::pair<int, int> kMinGPUArch = {0, 0};
#endif
const char kSuffix[] = "AutoMixedPrecision"; const char kSuffix[] = "AutoMixedPrecision";
const char kCastToFp16[] = "CastToFp16"; const char kCastToFp16[] = "CastToFp16";

14
tensorflow/core/grappler/optimizers/auto_mixed_precision_test.cc
View File

@ -17,7 +17,7 @@ limitations under the License.
// otherwise the optimizer will not turn clearlist nodes to float16. When // otherwise the optimizer will not turn clearlist nodes to float16. When
// looking at clearlist nodes, this optimizer checks if the nodes have a float16 // looking at clearlist nodes, this optimizer checks if the nodes have a float16
// GPU OpKernel, but without CUDA there are no GPU OpKernels at all. // GPU OpKernel, but without CUDA there are no GPU OpKernels at all.
#if GOOGLE_CUDA #if GOOGLE_CUDA || TENSORFLOW_USE_ROCM
#include "tensorflow/core/grappler/optimizers/auto_mixed_precision.h" #include "tensorflow/core/grappler/optimizers/auto_mixed_precision.h"
@ -76,16 +76,20 @@ class AutoMixedPrecisionTest : public GrapplerTest {
void SetUp() override { void SetUp() override {
int num_gpus = GetNumAvailableGPUs(); int num_gpus = GetNumAvailableGPUs();
// If GPUs are available, require that they all satisfy the min arch. // If GPUs are available, require that they all satisfy the min arch.
gpu_available_ = gpu_available_ = (num_gpus > 0);
num_gpus > 0 && num_gpus == GetNumAvailableGPUs(kMinGPUArch); #if GOOGLE_CUDA
gpu_available_ = gpu_available_ &&
(num_gpus == GetNumAvailableGPUs(kMinGPUArch));
#endif
if (gpu_available_) { if (gpu_available_) {
virtual_cluster_.reset(new SingleMachine(/* timeout_s = */ 10, 1, 1)); virtual_cluster_.reset(new SingleMachine(/* timeout_s = */ 10, 1, 1));
} else { } else {
DeviceProperties device_properties; DeviceProperties device_properties;
device_properties.set_type("GPU"); device_properties.set_type("GPU");
#if GOOGLE_CUDA
device_properties.mutable_environment()->insert({"architecture", "7"}); device_properties.mutable_environment()->insert({"architecture", "7"});
device_properties.mutable_environment()->insert({"cuda", "9010"}); device_properties.mutable_environment()->insert({"cuda", "9010"});
#endif
virtual_cluster_.reset( virtual_cluster_.reset(
new VirtualCluster({{"/GPU:1", device_properties}})); new VirtualCluster({{"/GPU:1", device_properties}}));
} }
@ -1078,4 +1082,4 @@ TEST_F(AutoMixedPrecisionTest, TanhOp) {
} // namespace grappler } // namespace grappler
} // namespace tensorflow } // namespace tensorflow
#endif // GOOGLE_CUDA #endif // GOOGLE_CUDA || TENSORFLOW_USE_ROCM

48
tensorflow/core/grappler/optimizers/generic_layout_optimizer_test.cc
View File

@ -179,9 +179,9 @@ void VerifyDataFormatAttributeMatch(const utils::NodeView* node,
} }
TEST_F(GenericLayoutOptimizerTest, OptimizeSimpleConv2DGraph) { TEST_F(GenericLayoutOptimizerTest, OptimizeSimpleConv2DGraph) {
#if !GOOGLE_CUDA #if !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GTEST_SKIP() << "CUDA is not enabled"; GTEST_SKIP() << "Neither CUDA nor ROCm is enabled";
#endif // !GOOGLE_CUDA #endif // !GOOGLE_CUDA || TENSORFLOW_USE_ROCM
// A simple graph contains 1 "NHWC" Conv2D node, 2 input and 1 output nodes. // A simple graph contains 1 "NHWC" Conv2D node, 2 input and 1 output nodes.
Scope scope = Scope::NewRootScope(); Scope scope = Scope::NewRootScope();
@ -245,9 +245,9 @@ TEST_F(GenericLayoutOptimizerTest, PreserveFetch) {
} }
TEST_F(GenericLayoutOptimizerTest, EmptyDevice) { TEST_F(GenericLayoutOptimizerTest, EmptyDevice) {
#if !GOOGLE_CUDA #if !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GTEST_SKIP() << "CUDA is not enabled"; GTEST_SKIP() << "Neither CUDA nor ROCm is enabled";
#endif // !GOOGLE_CUDA #endif // !GOOGLE_CUDA || TENSORFLOW_USE_ROCM
tensorflow::Scope s = tensorflow::Scope::NewRootScope(); tensorflow::Scope s = tensorflow::Scope::NewRootScope();
auto conv = SimpleConv2D(&s, 4, 2, "VALID", ""); auto conv = SimpleConv2D(&s, 4, 2, "VALID", "");
Output fetch = ops::Identity(s.WithOpName("Fetch"), {conv}); Output fetch = ops::Identity(s.WithOpName("Fetch"), {conv});
@ -267,9 +267,9 @@ TEST_F(GenericLayoutOptimizerTest, EmptyDevice) {
} }
TEST_F(GenericLayoutOptimizerTest, GPUDevice) { TEST_F(GenericLayoutOptimizerTest, GPUDevice) {
#if !GOOGLE_CUDA #if !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GTEST_SKIP() << "CUDA is not enabled"; GTEST_SKIP() << "Neither CUDA nor ROCm is enabled";
#endif // !GOOGLE_CUDA #endif // !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
tensorflow::Scope s = tensorflow::Scope::NewRootScope(); tensorflow::Scope s = tensorflow::Scope::NewRootScope();
auto conv = auto conv =
SimpleConv2D(&s, 4, 2, "VALID", "/job:w/replica:0/task:0/device:GPU:0"); SimpleConv2D(&s, 4, 2, "VALID", "/job:w/replica:0/task:0/device:GPU:0");
@ -290,9 +290,9 @@ TEST_F(GenericLayoutOptimizerTest, GPUDevice) {
} }
TEST_F(GenericLayoutOptimizerTest, CPUDevice) { TEST_F(GenericLayoutOptimizerTest, CPUDevice) {
#if !GOOGLE_CUDA #if !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GTEST_SKIP() << "CUDA is not enabled"; GTEST_SKIP() << "Neither CUDA nor ROCm is enabled";
#endif // !GOOGLE_CUDA #endif // !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
tensorflow::Scope s = tensorflow::Scope::NewRootScope(); tensorflow::Scope s = tensorflow::Scope::NewRootScope();
auto conv = SimpleConv2D(&s, 4, 2, "VALID", "/CPU:0"); auto conv = SimpleConv2D(&s, 4, 2, "VALID", "/CPU:0");
Output fetch = ops::Identity(s.WithOpName("Fetch"), {conv}); Output fetch = ops::Identity(s.WithOpName("Fetch"), {conv});
@ -312,9 +312,9 @@ TEST_F(GenericLayoutOptimizerTest, CPUDevice) {
} }
TEST_F(GenericLayoutOptimizerTest, Connectivity) { TEST_F(GenericLayoutOptimizerTest, Connectivity) {
#if !GOOGLE_CUDA #if !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GTEST_SKIP() << "CUDA is not enabled"; GTEST_SKIP() << "Neither CUDA nor ROCm is enabled";
#endif // !GOOGLE_CUDA #endif // !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
Scope scope = Scope::NewRootScope(); Scope scope = Scope::NewRootScope();
auto conv = SimpleConv2D(&scope, 4, 2, "VALID", "/device:GPU:0"); auto conv = SimpleConv2D(&scope, 4, 2, "VALID", "/device:GPU:0");
auto i1 = ops::Identity(scope.WithOpName("i1"), conv); auto i1 = ops::Identity(scope.WithOpName("i1"), conv);
@ -349,9 +349,9 @@ TEST_F(GenericLayoutOptimizerTest, Connectivity) {
} }
TEST_F(GenericLayoutOptimizerTest, Conv2DBackpropInputNonConstInputSizes) { TEST_F(GenericLayoutOptimizerTest, Conv2DBackpropInputNonConstInputSizes) {
#if !GOOGLE_CUDA #if !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GTEST_SKIP() << "CUDA is not enabled"; GTEST_SKIP() << "Neither CUDA nor ROCm is enabled";
#endif // !GOOGLE_CUDA #endif // !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
Scope s = Scope::NewRootScope(); Scope s = Scope::NewRootScope();
auto conv = SimpleConv2DBackpropInput(&s, 7, 2, "SAME", /*dilated=*/false); auto conv = SimpleConv2DBackpropInput(&s, 7, 2, "SAME", /*dilated=*/false);
Output fetch = ops::Identity(s.WithOpName("Fetch"), {conv}); Output fetch = ops::Identity(s.WithOpName("Fetch"), {conv});
@ -381,9 +381,9 @@ TEST_F(GenericLayoutOptimizerTest, Conv2DBackpropInputNonConstInputSizes) {
} }
TEST_F(GenericLayoutOptimizerTest, Conv2DDataFormatVecPermuteCollapse) { TEST_F(GenericLayoutOptimizerTest, Conv2DDataFormatVecPermuteCollapse) {
#if !GOOGLE_CUDA #if !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GTEST_SKIP() << "CUDA is not enabled"; GTEST_SKIP() << "Neither CUDA nor ROCm is enabled";
#endif // !GOOGLE_CUDA #endif // !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
Scope scope = Scope::NewRootScope().WithDevice("/device:GPU:0"); Scope scope = Scope::NewRootScope().WithDevice("/device:GPU:0");
auto conv = SimpleConv2D(&scope, 4, 2, "VALID", "/device:GPU:0"); auto conv = SimpleConv2D(&scope, 4, 2, "VALID", "/device:GPU:0");
auto shape = ops::Shape(scope.WithOpName("shape"), conv); auto shape = ops::Shape(scope.WithOpName("shape"), conv);
@ -434,9 +434,9 @@ TEST_F(GenericLayoutOptimizerTest, Conv2DDataFormatVecPermuteCollapse) {
} }
TEST_F(GenericLayoutOptimizerTest, DoNotPruneNonAddedCancellableTransposes) { TEST_F(GenericLayoutOptimizerTest, DoNotPruneNonAddedCancellableTransposes) {
#if !GOOGLE_CUDA #if !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GTEST_SKIP() << "CUDA is not enabled"; GTEST_SKIP() << "Neither CUDA nor ROCm is enabled";
#endif // !GOOGLE_CUDA #endif // !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GrapplerItem item; GrapplerItem item;
{ {
Scope scope = Scope::NewRootScope().WithDevice("/device:GPU:0"); Scope scope = Scope::NewRootScope().WithDevice("/device:GPU:0");

300
tensorflow/core/grappler/optimizers/generic_layout_optimizer_transposer_test.cc
View File

@ -374,9 +374,9 @@ class TransposerTest : public ::testing::Test {
}; };
TEST_F(TransposerTest, CreateConstPermNode) { TEST_F(TransposerTest, CreateConstPermNode) {
#if !GOOGLE_CUDA #if !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GTEST_SKIP() << "CUDA is not enabled"; GTEST_SKIP() << "Neither CUDA nor ROCm is enabled";
#endif // !GOOGLE_CUDA #endif // !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GrapplerItem item; GrapplerItem item;
TransposeContext context; TransposeContext context;
TF_ASSERT_OK(CreateSimpleConv2DGraph(&item.graph)); TF_ASSERT_OK(CreateSimpleConv2DGraph(&item.graph));
@ -418,9 +418,9 @@ TensorShapeProto MakeTensorShapeFromDimensions(absl::Span<const int> dims) {
} }
TEST_F(TransposerTest, CreateTransposeNode) { TEST_F(TransposerTest, CreateTransposeNode) {
#if !GOOGLE_CUDA #if !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GTEST_SKIP() << "CUDA is not enabled"; GTEST_SKIP() << "Neither CUDA nor ROCm is enabled";
#endif // !GOOGLE_CUDA #endif // !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GrapplerItem item; GrapplerItem item;
TransposeContext context; TransposeContext context;
TF_ASSERT_OK(CreateSimpleConv2DGraph(&item.graph)); TF_ASSERT_OK(CreateSimpleConv2DGraph(&item.graph));
@ -458,9 +458,9 @@ TEST_F(TransposerTest, CreateTransposeNode) {
} }
TEST_F(TransposerTest, UpdateNode) { TEST_F(TransposerTest, UpdateNode) {
#if !GOOGLE_CUDA #if !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GTEST_SKIP() << "CUDA is not enabled"; GTEST_SKIP() << "Neither CUDA nor ROCm is enabled";
#endif // !GOOGLE_CUDA #endif // !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GrapplerItem item; GrapplerItem item;
TransposeContext context; TransposeContext context;
TF_ASSERT_OK(CreateSimpleConv2DGraph(&item.graph)); TF_ASSERT_OK(CreateSimpleConv2DGraph(&item.graph));
@ -489,9 +489,9 @@ AttrValue_ListValue MakeAttrValueListValueFromVector(
} }
TEST_F(TransposerTest, UpdateStrides) { TEST_F(TransposerTest, UpdateStrides) {
#if !GOOGLE_CUDA #if !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GTEST_SKIP() << "CUDA is not enabled"; GTEST_SKIP() << "Neither CUDA nor ROCm is enabled";
#endif // !GOOGLE_CUDA #endif // !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GrapplerItem item; GrapplerItem item;
TransposeContext context; TransposeContext context;
TF_ASSERT_OK(CreateSimpleConv2DGraph(&item.graph)); TF_ASSERT_OK(CreateSimpleConv2DGraph(&item.graph));
@ -527,9 +527,9 @@ TEST_F(TransposerTest, UpdateStrides) {
} }
TEST_F(TransposerTest, UpdateFaninEdgesTranspose) { TEST_F(TransposerTest, UpdateFaninEdgesTranspose) {
#if !GOOGLE_CUDA #if !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GTEST_SKIP() << "CUDA is not enabled"; GTEST_SKIP() << "Neither CUDA nor ROCm is enabled";
#endif // !GOOGLE_CUDA #endif // !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GrapplerItem item; GrapplerItem item;
TransposeContext context; TransposeContext context;
TF_ASSERT_OK(CreateSimpleFusedBatchNormGrad(&item.graph, true)); TF_ASSERT_OK(CreateSimpleFusedBatchNormGrad(&item.graph, true));
@ -586,9 +586,9 @@ TEST_F(TransposerTest, UpdateFaninEdgesTranspose) {
} }
TEST_F(TransposerTest, UpdateFanoutEdgesTranspose) { TEST_F(TransposerTest, UpdateFanoutEdgesTranspose) {
#if !GOOGLE_CUDA #if !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GTEST_SKIP() << "CUDA is not enabled"; GTEST_SKIP() << "Neither CUDA nor ROCm is enabled";
#endif // !GOOGLE_CUDA #endif // !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GrapplerItem item; GrapplerItem item;
TransposeContext context; TransposeContext context;
TF_ASSERT_OK(CreateSimpleConv2DGraph(&item.graph)); TF_ASSERT_OK(CreateSimpleConv2DGraph(&item.graph));
@ -639,9 +639,9 @@ TEST_F(TransposerTest, UpdateFanoutEdgesTranspose) {
} }
TEST_F(TransposerTest, DefaultLayoutSensitiveOpTransposerTestFusedBatchNorm) { TEST_F(TransposerTest, DefaultLayoutSensitiveOpTransposerTestFusedBatchNorm) {
#if !GOOGLE_CUDA #if !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GTEST_SKIP() << "CUDA is not enabled"; GTEST_SKIP() << "Neither CUDA nor ROCm is enabled";
#endif // !GOOGLE_CUDA #endif // !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
// Use FusedBatchNorm for default transposer test // Use FusedBatchNorm for default transposer test
GrapplerItem item; GrapplerItem item;
TransposeContext context; TransposeContext context;
@ -695,9 +695,9 @@ TEST_F(TransposerTest, DefaultLayoutSensitiveOpTransposerTestFusedBatchNorm) {
} }
TEST_F(TransposerTest, DefaultLayoutSensitiveOpTransposerTestConv2D) { TEST_F(TransposerTest, DefaultLayoutSensitiveOpTransposerTestConv2D) {
#if !GOOGLE_CUDA #if !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GTEST_SKIP() << "CUDA is not enabled"; GTEST_SKIP() << "Neither CUDA nor ROCm is enabled";
#endif // !GOOGLE_CUDA #endif // !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
// Use Conv2D for default transposer test // Use Conv2D for default transposer test
GrapplerItem item; GrapplerItem item;
TransposeContext context; TransposeContext context;
@ -746,9 +746,9 @@ TEST_F(TransposerTest, DefaultLayoutSensitiveOpTransposerTestConv2D) {
} }
TEST_F(TransposerTest, MaxPoolGradTransposerTest) { TEST_F(TransposerTest, MaxPoolGradTransposerTest) {
#if !GOOGLE_CUDA #if !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GTEST_SKIP() << "CUDA is not enabled"; GTEST_SKIP() << "Neither CUDA nor ROCm is enabled";
#endif // !GOOGLE_CUDA #endif // !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
for (bool use_grad_grad : {false, true}) { for (bool use_grad_grad : {false, true}) {
GrapplerItem item; GrapplerItem item;
TransposeContext context; TransposeContext context;
@ -800,9 +800,9 @@ TEST_F(TransposerTest, MaxPoolGradTransposerTest) {
} }
TEST_F(TransposerTest, BiasAddGradTransposerTest) { TEST_F(TransposerTest, BiasAddGradTransposerTest) {
#if !GOOGLE_CUDA #if !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GTEST_SKIP() << "CUDA is not enabled"; GTEST_SKIP() << "Neither CUDA nor ROCm is enabled";
#endif // !GOOGLE_CUDA #endif // !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GrapplerItem item; GrapplerItem item;
TransposeContext context; TransposeContext context;
TF_ASSERT_OK(CreateSimpleBiasAddGrad( TF_ASSERT_OK(CreateSimpleBiasAddGrad(
@ -872,9 +872,9 @@ TEST_F(TransposerTest, BiasAddGradTransposerIncorrectInputTest) {
} }
TEST_F(TransposerTest, Conv2DBackpropFilterTransposerTest) { TEST_F(TransposerTest, Conv2DBackpropFilterTransposerTest) {
#if !GOOGLE_CUDA #if !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GTEST_SKIP() << "CUDA is not enabled"; GTEST_SKIP() << "Neither CUDA nor ROCm is enabled";
#endif // !GOOGLE_CUDA #endif // !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GrapplerItem item; GrapplerItem item;
TransposeContext context; TransposeContext context;
TF_ASSERT_OK(CreateSimpleConv2DBackpropFilter(&item.graph)); TF_ASSERT_OK(CreateSimpleConv2DBackpropFilter(&item.graph));
@ -925,9 +925,9 @@ TEST_F(TransposerTest, Conv2DBackpropFilterTransposerTest) {
} }
TEST_F(TransposerTest, NodeAttributes) { TEST_F(TransposerTest, NodeAttributes) {
#if !GOOGLE_CUDA #if !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GTEST_SKIP() << "CUDA is not enabled"; GTEST_SKIP() << "Neither CUDA nor ROCm is enabled";
#endif // !GOOGLE_CUDA #endif // !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GrapplerItem item; GrapplerItem item;
TransposeContext context; TransposeContext context;
TF_ASSERT_OK( TF_ASSERT_OK(
@ -966,9 +966,9 @@ TEST_F(TransposerTest, NodeAttributes) {
} }
TEST_F(TransposerTest, Conv2DBackpropInputTransposerTest) { TEST_F(TransposerTest, Conv2DBackpropInputTransposerTest) {
#if !GOOGLE_CUDA #if !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GTEST_SKIP() << "CUDA is not enabled"; GTEST_SKIP() << "Neither CUDA nor ROCm is enabled";
#endif // !GOOGLE_CUDA #endif // !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GrapplerItem item; GrapplerItem item;
TransposeContext context; TransposeContext context;
TF_ASSERT_OK(CreateSimpleConv2DBackpropInput(&item.graph)); TF_ASSERT_OK(CreateSimpleConv2DBackpropInput(&item.graph));
@ -1024,9 +1024,9 @@ TEST_F(TransposerTest, Conv2DBackpropInputTransposerTest) {
} }
TEST_F(TransposerTest, FusedBatchNormGradTransposerIsTrainingTest) { TEST_F(TransposerTest, FusedBatchNormGradTransposerIsTrainingTest) {
#if !GOOGLE_CUDA #if !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GTEST_SKIP() << "CUDA is not enabled"; GTEST_SKIP() << "Neither CUDA nor ROCm is enabled";
#endif // !GOOGLE_CUDA #endif // !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GrapplerItem item; GrapplerItem item;
TransposeContext context; TransposeContext context;
TF_ASSERT_OK(CreateSimpleFusedBatchNormGrad(&item.graph, true)); TF_ASSERT_OK(CreateSimpleFusedBatchNormGrad(&item.graph, true));
@ -1159,9 +1159,9 @@ TEST_F(TransposerTest, FusedBatchNormGradTransposerNotTrainingTest) {
} }
TEST_F(TransposerTest, DefaultLayoutAgnosticOpTransposerIdentityTest) { TEST_F(TransposerTest, DefaultLayoutAgnosticOpTransposerIdentityTest) {
#if !GOOGLE_CUDA #if !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GTEST_SKIP() << "CUDA is not enabled"; GTEST_SKIP() << "Neither CUDA nor ROCm is enabled";
#endif // !GOOGLE_CUDA #endif // !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GrapplerItem item; GrapplerItem item;
Scope scope = Scope::NewRootScope(); Scope scope = Scope::NewRootScope();
auto conv2d = SimpleConv2D(&scope); auto conv2d = SimpleConv2D(&scope);
@ -1210,9 +1210,9 @@ TEST_F(TransposerTest, DefaultLayoutAgnosticOpTransposerIdentityTest) {
} }
TEST_F(TransposerTest, DefaultLayoutAgnosticOpTransposerIdentityBadInputTest) { TEST_F(TransposerTest, DefaultLayoutAgnosticOpTransposerIdentityBadInputTest) {
#if !GOOGLE_CUDA #if !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GTEST_SKIP() << "CUDA is not enabled"; GTEST_SKIP() << "Neither CUDA nor ROCm is enabled";
#endif // !GOOGLE_CUDA #endif // !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GrapplerItem item; GrapplerItem item;
Scope scope = Scope::NewRootScope(); Scope scope = Scope::NewRootScope();
auto conv2d = SimpleConv2D(&scope); auto conv2d = SimpleConv2D(&scope);
@ -1258,9 +1258,9 @@ TEST_F(TransposerTest, DefaultLayoutAgnosticOpTransposerIdentityBadInputTest) {
} }
TEST_F(TransposerTest, AddNTransposerTest) { TEST_F(TransposerTest, AddNTransposerTest) {
#if !GOOGLE_CUDA #if !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GTEST_SKIP() << "CUDA is not enabled"; GTEST_SKIP() << "Neither CUDA nor ROCm is enabled";
#endif // !GOOGLE_CUDA #endif // !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GrapplerItem item; GrapplerItem item;
TF_ASSERT_OK(CreateSimpleAddN(&item.graph)); TF_ASSERT_OK(CreateSimpleAddN(&item.graph));
TransposeContext context; TransposeContext context;
@ -1373,9 +1373,9 @@ TEST_F(TransposerTest, AddNTransposerNotAfterTransformTest) {
} }
TEST_F(TransposerTest, IdentityNTransposerTest) { TEST_F(TransposerTest, IdentityNTransposerTest) {
#if !GOOGLE_CUDA #if !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GTEST_SKIP() << "CUDA is not enabled"; GTEST_SKIP() << "Neither CUDA nor ROCm is enabled";
#endif // !GOOGLE_CUDA #endif // !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GrapplerItem item; GrapplerItem item;
TF_ASSERT_OK(CreateSimpleIdentityN(&item.graph)); TF_ASSERT_OK(CreateSimpleIdentityN(&item.graph));
TransposeContext context; TransposeContext context;
@ -1466,9 +1466,9 @@ TEST_F(TransposerTest, IdentityNTransposerTest) {
} }
TEST_F(TransposerTest, MergeTransposerTestMergeBothInputsConvertible) { TEST_F(TransposerTest, MergeTransposerTestMergeBothInputsConvertible) {
#if !GOOGLE_CUDA #if !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GTEST_SKIP() << "CUDA is not enabled"; GTEST_SKIP() << "Neither CUDA nor ROCm is enabled";
#endif // !GOOGLE_CUDA #endif // !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GrapplerItem item; GrapplerItem item;
Scope scope = Scope::NewRootScope(); Scope scope = Scope::NewRootScope();
auto conv2d = SimpleConv2D(&scope); auto conv2d = SimpleConv2D(&scope);
@ -1525,9 +1525,9 @@ TEST_F(TransposerTest, MergeTransposerTestMergeBothInputsConvertible) {
} }
TEST_F(TransposerTest, MergeTransposerTestMergeOneInputNotConvertible) { TEST_F(TransposerTest, MergeTransposerTestMergeOneInputNotConvertible) {
#if !GOOGLE_CUDA #if !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GTEST_SKIP() << "CUDA is not enabled"; GTEST_SKIP() << "Neither CUDA nor ROCm is enabled";
#endif // !GOOGLE_CUDA #endif // !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GrapplerItem item; GrapplerItem item;
Scope scope = Scope::NewRootScope(); Scope scope = Scope::NewRootScope();
auto conv2d = SimpleConv2D(&scope); auto conv2d = SimpleConv2D(&scope);
@ -1580,9 +1580,9 @@ TEST_F(TransposerTest, MergeTransposerTestMergeOneInputNotConvertible) {
} }
TEST_F(TransposerTest, PadTransposerTest) { TEST_F(TransposerTest, PadTransposerTest) {
#if !GOOGLE_CUDA #if !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GTEST_SKIP() << "CUDA is not enabled"; GTEST_SKIP() << "Neither CUDA nor ROCm is enabled";
#endif // !GOOGLE_CUDA #endif // !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GrapplerItem item; GrapplerItem item;
Scope scope = Scope::NewRootScope(); Scope scope = Scope::NewRootScope();
auto conv2d = SimpleConv2D(&scope); auto conv2d = SimpleConv2D(&scope);
@ -1640,9 +1640,9 @@ TEST_F(TransposerTest, PadTransposerTest) {
} }
TEST_F(TransposerTest, SwitchTransposerTest) { TEST_F(TransposerTest, SwitchTransposerTest) {
#if !GOOGLE_CUDA #if !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GTEST_SKIP() << "CUDA is not enabled"; GTEST_SKIP() << "Neither CUDA nor ROCm is enabled";
#endif // !GOOGLE_CUDA #endif // !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GrapplerItem item; GrapplerItem item;
Scope scope = Scope::NewRootScope(); Scope scope = Scope::NewRootScope();
auto conv2d = SimpleConv2D(&scope); auto conv2d = SimpleConv2D(&scope);
@ -1705,9 +1705,9 @@ TEST_F(TransposerTest, SwitchTransposerTest) {
} }
TEST_F(TransposerTest, TernaryOpTransposerTest) { TEST_F(TransposerTest, TernaryOpTransposerTest) {
#if !GOOGLE_CUDA #if !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GTEST_SKIP() << "CUDA is not enabled"; GTEST_SKIP() << "Neither CUDA nor ROCm is enabled";
#endif // !GOOGLE_CUDA #endif // !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GrapplerItem item; GrapplerItem item;
Scope scope = Scope::NewRootScope(); Scope scope = Scope::NewRootScope();
auto conv2d = SimpleConv2D(&scope); auto conv2d = SimpleConv2D(&scope);
@ -1775,9 +1775,9 @@ TEST_F(TransposerTest, TernaryOpTransposerTest) {
} }
TEST_F(TransposerTest, UnaryGradTransposerTestTanhGrad) { TEST_F(TransposerTest, UnaryGradTransposerTestTanhGrad) {
#if !GOOGLE_CUDA #if !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GTEST_SKIP() << "CUDA is not enabled"; GTEST_SKIP() << "Neither CUDA nor ROCm is enabled";
#endif // !GOOGLE_CUDA #endif // !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GrapplerItem item; GrapplerItem item;
Scope scope = Scope::NewRootScope(); Scope scope = Scope::NewRootScope();
auto conv2d = SimpleConv2D(&scope); auto conv2d = SimpleConv2D(&scope);
@ -1839,9 +1839,9 @@ TEST_F(TransposerTest, UnaryGradTransposerTestTanhGrad) {
} }
TEST_F(TransposerTest, UnaryGradTransposerTestRelu6Grad) { TEST_F(TransposerTest, UnaryGradTransposerTestRelu6Grad) {
#if !GOOGLE_CUDA #if !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GTEST_SKIP() << "CUDA is not enabled"; GTEST_SKIP() << "Neither CUDA nor ROCm is enabled";
#endif // !GOOGLE_CUDA #endif // !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GrapplerItem item; GrapplerItem item;
Scope scope = Scope::NewRootScope(); Scope scope = Scope::NewRootScope();
auto conv2d = SimpleConv2D(&scope); auto conv2d = SimpleConv2D(&scope);
@ -1903,9 +1903,9 @@ TEST_F(TransposerTest, UnaryGradTransposerTestRelu6Grad) {
} }
TEST_F(TransposerTest, SqueezeTransposerTest) { TEST_F(TransposerTest, SqueezeTransposerTest) {
#if !GOOGLE_CUDA #if !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GTEST_SKIP() << "CUDA is not enabled"; GTEST_SKIP() << "Neither CUDA nor ROCm is enabled";
#endif // !GOOGLE_CUDA #endif // !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GrapplerItem item; GrapplerItem item;
Scope scope = Scope::NewRootScope(); Scope scope = Scope::NewRootScope();
auto input = auto input =
@ -1958,9 +1958,9 @@ TEST_F(TransposerTest, SqueezeTransposerTest) {
} }
TEST_F(TransposerTest, SqueezeTransposerTestUnsupportedInputShape) { TEST_F(TransposerTest, SqueezeTransposerTestUnsupportedInputShape) {
#if !GOOGLE_CUDA #if !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GTEST_SKIP() << "CUDA is not enabled"; GTEST_SKIP() << "Neither CUDA nor ROCm is enabled";
#endif // !GOOGLE_CUDA #endif // !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GrapplerItem item; GrapplerItem item;
Scope scope = Scope::NewRootScope(); Scope scope = Scope::NewRootScope();
auto input = auto input =
@ -1997,9 +1997,9 @@ TEST_F(TransposerTest, SqueezeTransposerTestUnsupportedInputShape) {
} }
TEST_F(TransposerTest, SqueezeTransposerTestInvalidHWAxis) { TEST_F(TransposerTest, SqueezeTransposerTestInvalidHWAxis) {
#if !GOOGLE_CUDA #if !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GTEST_SKIP() << "CUDA is not enabled"; GTEST_SKIP() << "Neither CUDA nor ROCm is enabled";
#endif // !GOOGLE_CUDA #endif // !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GrapplerItem item; GrapplerItem item;
Scope scope = Scope::NewRootScope(); Scope scope = Scope::NewRootScope();
auto input = auto input =
@ -2037,9 +2037,9 @@ TEST_F(TransposerTest, SqueezeTransposerTestInvalidHWAxis) {
} }
TEST_F(TransposerTest, SqueezeTransposerTestInvalidNHWAxis) { TEST_F(TransposerTest, SqueezeTransposerTestInvalidNHWAxis) {
#if !GOOGLE_CUDA #if !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GTEST_SKIP() << "CUDA is not enabled"; GTEST_SKIP() << "Neither CUDA nor ROCm is enabled";
#endif // !GOOGLE_CUDA #endif // !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GrapplerItem item; GrapplerItem item;
Scope scope = Scope::NewRootScope(); Scope scope = Scope::NewRootScope();
auto input = auto input =
@ -2077,9 +2077,9 @@ TEST_F(TransposerTest, SqueezeTransposerTestInvalidNHWAxis) {
} }
TEST_F(TransposerTest, SqueezeTransposerTestSqueezeDimsUpdated) { TEST_F(TransposerTest, SqueezeTransposerTestSqueezeDimsUpdated) {
#if !GOOGLE_CUDA #if !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GTEST_SKIP() << "CUDA is not enabled"; GTEST_SKIP() << "Neither CUDA nor ROCm is enabled";
#endif // !GOOGLE_CUDA #endif // !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GrapplerItem item; GrapplerItem item;
Scope scope = Scope::NewRootScope(); Scope scope = Scope::NewRootScope();
auto input = auto input =
@ -2138,9 +2138,9 @@ TEST_F(TransposerTest, SqueezeTransposerTestSqueezeDimsUpdated) {
} }
TEST_F(TransposerTest, MaxPoolV2Transposer) { TEST_F(TransposerTest, MaxPoolV2Transposer) {
#if !GOOGLE_CUDA #if !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GTEST_SKIP() << "CUDA is not enabled"; GTEST_SKIP() << "Neither CUDA nor ROCm is enabled";
#endif // !GOOGLE_CUDA #endif // !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GrapplerItem item; GrapplerItem item;
Scope scope = Scope::NewRootScope(); Scope scope = Scope::NewRootScope();
auto input = auto input =
@ -2196,9 +2196,9 @@ TEST_F(TransposerTest, MaxPoolV2Transposer) {
} }
TEST_F(TransposerTest, MaxPoolGradV2Transposer) { TEST_F(TransposerTest, MaxPoolGradV2Transposer) {
#if !GOOGLE_CUDA #if !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GTEST_SKIP() << "CUDA is not enabled"; GTEST_SKIP() << "Neither CUDA nor ROCm is enabled";
#endif // !GOOGLE_CUDA #endif // !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
for (bool use_grad_grad : {false, true}) { for (bool use_grad_grad : {false, true}) {
GrapplerItem item; GrapplerItem item;
Scope scope = Scope::NewRootScope(); Scope scope = Scope::NewRootScope();
@ -2280,9 +2280,9 @@ TEST_F(TransposerTest, MaxPoolGradV2Transposer) {
} }
TEST_F(TransposerTest, BinaryOpTransposerAdd) { TEST_F(TransposerTest, BinaryOpTransposerAdd) {
#if !GOOGLE_CUDA #if !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GTEST_SKIP() << "CUDA is not enabled"; GTEST_SKIP() << "Neither CUDA nor ROCm is enabled";
#endif // !GOOGLE_CUDA #endif // !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GrapplerItem item; GrapplerItem item;
Scope scope = Scope::NewRootScope(); Scope scope = Scope::NewRootScope();
auto input = auto input =
@ -2352,9 +2352,9 @@ TEST_F(TransposerTest, BinaryOpTransposerAdd) {
} }
TEST_F(TransposerTest, BinaryOpTransposerMul) { TEST_F(TransposerTest, BinaryOpTransposerMul) {
#if !GOOGLE_CUDA #if !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GTEST_SKIP() << "CUDA is not enabled"; GTEST_SKIP() << "Neither CUDA nor ROCm is enabled";
#endif // !GOOGLE_CUDA #endif // !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GrapplerItem item; GrapplerItem item;
Scope scope = Scope::NewRootScope(); Scope scope = Scope::NewRootScope();
auto input = auto input =
@ -2424,9 +2424,9 @@ TEST_F(TransposerTest, BinaryOpTransposerMul) {
} }
TEST_F(TransposerTest, BinaryOpTransposerPolygamma) { TEST_F(TransposerTest, BinaryOpTransposerPolygamma) {
#if !GOOGLE_CUDA #if !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GTEST_SKIP() << "CUDA is not enabled"; GTEST_SKIP() << "Neither CUDA nor ROCm is enabled";
#endif // !GOOGLE_CUDA #endif // !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GrapplerItem item; GrapplerItem item;
Scope scope = Scope::NewRootScope(); Scope scope = Scope::NewRootScope();
auto input = auto input =
@ -2511,9 +2511,9 @@ bool CreateConcatV1Op(const Scope& scope, const InputList& tensors,
} }
TEST_F(TransposerTest, ConcatOpTransposerConcat) { TEST_F(TransposerTest, ConcatOpTransposerConcat) {
#if !GOOGLE_CUDA #if !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GTEST_SKIP() << "CUDA is not enabled"; GTEST_SKIP() << "Neither CUDA nor ROCm is enabled";
#endif // !GOOGLE_CUDA #endif // !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GrapplerItem item; GrapplerItem item;
Scope scope = Scope::NewRootScope(); Scope scope = Scope::NewRootScope();
Output input_1 = ops::RandomUniform(scope.WithOpName("input_1"), Output input_1 = ops::RandomUniform(scope.WithOpName("input_1"),
@ -2589,9 +2589,9 @@ TEST_F(TransposerTest, ConcatOpTransposerConcat) {
} }
TEST_F(TransposerTest, ConcatOpTransposerConcatV2) { TEST_F(TransposerTest, ConcatOpTransposerConcatV2) {
#if !GOOGLE_CUDA #if !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GTEST_SKIP() << "CUDA is not enabled"; GTEST_SKIP() << "Neither CUDA nor ROCm is enabled";
#endif // !GOOGLE_CUDA #endif // !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GrapplerItem item; GrapplerItem item;
Scope scope = Scope::NewRootScope(); Scope scope = Scope::NewRootScope();
Output input_1 = ops::RandomUniform(scope.WithOpName("input_1"), Output input_1 = ops::RandomUniform(scope.WithOpName("input_1"),
@ -2666,9 +2666,9 @@ TEST_F(TransposerTest, ConcatOpTransposerConcatV2) {
} }
TEST_F(TransposerTest, ReverseV2Transposer) { TEST_F(TransposerTest, ReverseV2Transposer) {
#if !GOOGLE_CUDA #if !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GTEST_SKIP() << "CUDA is not enabled"; GTEST_SKIP() << "Neither CUDA nor ROCm is enabled";
#endif // !GOOGLE_CUDA #endif // !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GrapplerItem item; GrapplerItem item;
Scope scope = Scope::NewRootScope(); Scope scope = Scope::NewRootScope();
@ -2734,9 +2734,9 @@ TEST_F(TransposerTest, ReverseV2Transposer) {
} }
TEST_F(TransposerTest, TileTransposer) { TEST_F(TransposerTest, TileTransposer) {
#if !GOOGLE_CUDA #if !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GTEST_SKIP() << "CUDA is not enabled"; GTEST_SKIP() << "Neither CUDA nor ROCm is enabled";
#endif // !GOOGLE_CUDA #endif // !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GrapplerItem item; GrapplerItem item;
Scope scope = Scope::NewRootScope(); Scope scope = Scope::NewRootScope();
@ -2801,9 +2801,9 @@ TEST_F(TransposerTest, TileTransposer) {
} }
TEST_F(TransposerTest, ShapeTransposer) { TEST_F(TransposerTest, ShapeTransposer) {
#if !GOOGLE_CUDA #if !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GTEST_SKIP() << "CUDA is not enabled"; GTEST_SKIP() << "Neither CUDA nor ROCm is enabled";
#endif // !GOOGLE_CUDA #endif // !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GrapplerItem item; GrapplerItem item;
Scope scope = Scope::NewRootScope(); Scope scope = Scope::NewRootScope();
auto input = auto input =
@ -2858,9 +2858,9 @@ TEST_F(TransposerTest, ShapeTransposer) {
} }
TEST_F(TransposerTest, ShapeNTransposer) { TEST_F(TransposerTest, ShapeNTransposer) {
#if !GOOGLE_CUDA #if !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GTEST_SKIP() << "CUDA is not enabled"; GTEST_SKIP() << "Neither CUDA nor ROCm is enabled";
#endif // !GOOGLE_CUDA #endif // !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GrapplerItem item; GrapplerItem item;
Scope scope = Scope::NewRootScope(); Scope scope = Scope::NewRootScope();
auto input = auto input =
@ -2961,9 +2961,9 @@ TEST_F(TransposerTest, ShapeNTransposer) {
} }
TEST_F(TransposerTest, FillOpTransposer) { TEST_F(TransposerTest, FillOpTransposer) {
#if !GOOGLE_CUDA #if !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GTEST_SKIP() << "CUDA is not enabled"; GTEST_SKIP() << "Neither CUDA nor ROCm is enabled";
#endif // !GOOGLE_CUDA #endif // !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GrapplerItem item; GrapplerItem item;
Scope scope = Scope::NewRootScope(); Scope scope = Scope::NewRootScope();
auto input = auto input =
@ -3020,9 +3020,9 @@ TEST_F(TransposerTest, FillOpTransposer) {
} }
TEST_F(TransposerTest, SliceTransposer) { TEST_F(TransposerTest, SliceTransposer) {
#if !GOOGLE_CUDA #if !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GTEST_SKIP() << "CUDA is not enabled"; GTEST_SKIP() << "Neither CUDA nor ROCm is enabled";
#endif // !GOOGLE_CUDA #endif // !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GrapplerItem item; GrapplerItem item;
Scope scope = Scope::NewRootScope(); Scope scope = Scope::NewRootScope();
@ -3097,9 +3097,9 @@ TEST_F(TransposerTest, SliceTransposer) {
} }
TEST_F(TransposerTest, SplitTransposer) { TEST_F(TransposerTest, SplitTransposer) {
#if !GOOGLE_CUDA #if !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GTEST_SKIP() << "CUDA is not enabled"; GTEST_SKIP() << "Neither CUDA nor ROCm is enabled";
#endif // !GOOGLE_CUDA #endif // !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GrapplerItem item; GrapplerItem item;
Scope scope = Scope::NewRootScope(); Scope scope = Scope::NewRootScope();
@ -3183,9 +3183,9 @@ TEST_F(TransposerTest, SplitTransposer) {
} }
TEST_F(TransposerTest, SplitVTransposer) { TEST_F(TransposerTest, SplitVTransposer) {
#if !GOOGLE_CUDA #if !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GTEST_SKIP() << "CUDA is not enabled"; GTEST_SKIP() << "Neither CUDA nor ROCm is enabled";
#endif // !GOOGLE_CUDA #endif // !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GrapplerItem item; GrapplerItem item;
Scope scope = Scope::NewRootScope(); Scope scope = Scope::NewRootScope();
@ -3273,9 +3273,9 @@ TEST_F(TransposerTest, SplitVTransposer) {
} }
TEST_F(TransposerTest, StridedSliceTransposer) { TEST_F(TransposerTest, StridedSliceTransposer) {
#if !GOOGLE_CUDA #if !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GTEST_SKIP() << "CUDA is not enabled"; GTEST_SKIP() << "Neither CUDA nor ROCm is enabled";
#endif // !GOOGLE_CUDA #endif // !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GrapplerItem item; GrapplerItem item;
Scope scope = Scope::NewRootScope(); Scope scope = Scope::NewRootScope();
@ -3363,9 +3363,9 @@ TEST_F(TransposerTest, StridedSliceTransposer) {
} }
TEST_F(TransposerTest, StridedSliceTransposerEllipsisMaskPresent) { TEST_F(TransposerTest, StridedSliceTransposerEllipsisMaskPresent) {
#if !GOOGLE_CUDA #if !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GTEST_SKIP() << "CUDA is not enabled"; GTEST_SKIP() << "Neither CUDA nor ROCm is enabled";
#endif // !GOOGLE_CUDA #endif // !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GrapplerItem item; GrapplerItem item;
Scope scope = Scope::NewRootScope(); Scope scope = Scope::NewRootScope();
@ -3425,9 +3425,9 @@ TEST_F(TransposerTest, StridedSliceTransposerEllipsisMaskPresent) {
} }
TEST_F(TransposerTest, StridedSliceTransposerConstFaninBadRank) { TEST_F(TransposerTest, StridedSliceTransposerConstFaninBadRank) {
#if !GOOGLE_CUDA #if !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GTEST_SKIP() << "CUDA is not enabled"; GTEST_SKIP() << "Neither CUDA nor ROCm is enabled";
#endif // !GOOGLE_CUDA #endif // !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GrapplerItem item; GrapplerItem item;
Scope scope = Scope::NewRootScope(); Scope scope = Scope::NewRootScope();
@ -3510,9 +3510,9 @@ TEST_F(TransposerTest, StridedSliceTransposerConstFaninBadRank) {
} }
TEST_F(TransposerTest, ReduceTransposerKeepDims) { TEST_F(TransposerTest, ReduceTransposerKeepDims) {
#if !GOOGLE_CUDA #if !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GTEST_SKIP() << "CUDA is not enabled"; GTEST_SKIP() << "Neither CUDA nor ROCm is enabled";
#endif // !GOOGLE_CUDA #endif // !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GrapplerItem item; GrapplerItem item;
Scope scope = Scope::NewRootScope(); Scope scope = Scope::NewRootScope();
@ -3577,9 +3577,9 @@ TEST_F(TransposerTest, ReduceTransposerKeepDims) {
} }
TEST_F(TransposerTest, ReduceTransposerValidAxisNode) { TEST_F(TransposerTest, ReduceTransposerValidAxisNode) {
#if !GOOGLE_CUDA #if !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GTEST_SKIP() << "CUDA is not enabled"; GTEST_SKIP() << "Neither CUDA nor ROCm is enabled";
#endif // !GOOGLE_CUDA #endif // !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GrapplerItem item; GrapplerItem item;
Scope scope = Scope::NewRootScope(); Scope scope = Scope::NewRootScope();

10
tensorflow/core/grappler/optimizers/memory_optimizer_test.cc
View File

@ -284,7 +284,7 @@ TEST_F(MemoryOptimizerTest, SimpleSwapping) {
status = optimizer.Optimize(cluster.get(), item_copy, &output); status = optimizer.Optimize(cluster.get(), item_copy, &output);
TF_EXPECT_OK(status); TF_EXPECT_OK(status);
#if GOOGLE_CUDA #if GOOGLE_CUDA || TENSORFLOW_USE_ROCM
item.fetch = {"e"}; item.fetch = {"e"};
item.init_ops = {init.name()}; item.init_ops = {init.name()};
auto tensors_expected = EvaluateFetchNodes(item); auto tensors_expected = EvaluateFetchNodes(item);
@ -336,7 +336,7 @@ TEST_F(MemoryOptimizerTest, SwappingHeuristics) {
} }
} }
#if GOOGLE_CUDA #if GOOGLE_CUDA || TENSORFLOW_USE_ROCM
auto tensors_expected = EvaluateFetchNodes(item); auto tensors_expected = EvaluateFetchNodes(item);
GrapplerItem optimized = item.WithGraph(std::move(output)); GrapplerItem optimized = item.WithGraph(std::move(output));
auto tensors = EvaluateFetchNodes(optimized); auto tensors = EvaluateFetchNodes(optimized);
@ -385,7 +385,7 @@ TEST_F(MemoryOptimizerTest, UnswappableInputs) {
} }
} }
#if GOOGLE_CUDA #if GOOGLE_CUDA || TENSORFLOW_USE_ROCM
auto tensors_expected = EvaluateFetchNodes(item); auto tensors_expected = EvaluateFetchNodes(item);
GrapplerItem optimized = item.WithGraph(std::move(output)); GrapplerItem optimized = item.WithGraph(std::move(output));
auto tensors = EvaluateFetchNodes(optimized); auto tensors = EvaluateFetchNodes(optimized);
@ -502,7 +502,7 @@ TEST_F(RelaxAllocatorConstraintsTest, DifferentDevice) {
auto node = output.node(2); auto node = output.node(2);
EXPECT_EQ("assign", node.name()); EXPECT_EQ("assign", node.name());
EXPECT_EQ(0, node.attr().count("_grappler_relax_allocator_constraints")); EXPECT_EQ(0, node.attr().count("_grappler_relax_allocator_constraints"));
#if GOOGLE_CUDA #if GOOGLE_CUDA || TENSORFLOW_USE_ROCM
item.fetch = {"exp"}; item.fetch = {"exp"};
item.init_ops = {"variable"}; item.init_ops = {"variable"};
auto tensors_expected = EvaluateFetchNodes(item); auto tensors_expected = EvaluateFetchNodes(item);
@ -629,7 +629,7 @@ TEST_F(RelaxAllocatorConstraintsTest, AssignNodeInFanout) {
EXPECT_EQ(1, node.attr().count("_grappler_relax_allocator_constraints")); EXPECT_EQ(1, node.attr().count("_grappler_relax_allocator_constraints"));
EXPECT_EQ(true, node.attr().at("_grappler_relax_allocator_constraints").b()); EXPECT_EQ(true, node.attr().at("_grappler_relax_allocator_constraints").b());
#if GOOGLE_CUDA #if GOOGLE_CUDA || TENSORFLOW_USE_ROCM
item.init_ops = {"exp_cpu", "variable_gpu"}; item.init_ops = {"exp_cpu", "variable_gpu"};
auto tensors_expected = EvaluateFetchNodes(item); auto tensors_expected = EvaluateFetchNodes(item);
GrapplerItem optimized = item.WithGraph(std::move(output)); GrapplerItem optimized = item.WithGraph(std::move(output));

4
tensorflow/core/grappler/optimizers/remapper.cc
View File

@ -282,6 +282,10 @@ bool IsCpuCompatible(const RemapperContext& ctx, const Pattern& matched) {
// Checks if we can rewrite a pattern to the `_FusedConv2D` on GPU device. // Checks if we can rewrite a pattern to the `_FusedConv2D` on GPU device.
bool IsGpuCompatible(const RemapperContext& ctx, bool IsGpuCompatible(const RemapperContext& ctx,
const ContractionWithBiasAddAndActivation& matched) { const ContractionWithBiasAddAndActivation& matched) {
#if TENSORFLOW_USE_ROCM
// ROCm does not support _FusedConv2D
return false;
#endif
const GraphDef* graph = ctx.graph_view.graph(); const GraphDef* graph = ctx.graph_view.graph();
const NodeDef& contraction_node = graph->node(matched.contraction); const NodeDef& contraction_node = graph->node(matched.contraction);
if (!IsConv2D(contraction_node)) return false; if (!IsConv2D(contraction_node)) return false;

6
tensorflow/core/grappler/optimizers/remapper_test.cc
View File

@ -69,9 +69,9 @@ TEST_F(RemapperTest, FusedBatchNorm) {
} }
TEST_F(RemapperTest, FusedBatchNormNCHW) { TEST_F(RemapperTest, FusedBatchNormNCHW) {
#if !GOOGLE_CUDA #if !(GOOGLE_CUDA || TENSORFLOW_USE_ROCM)
GTEST_SKIP() << "CUDA is not enabled"; GTEST_SKIP() << "Neither CUDA nor ROCm is enabled";
#endif // !GOOGLE_CUDA #endif // !GOOGLE_CUDA || TENSORFLOW_USE_ROCM
tensorflow::Scope s = tensorflow::Scope::NewRootScope(); tensorflow::Scope s = tensorflow::Scope::NewRootScope();
Output dflt = Output dflt =
ops::Const(s.WithOpName("dflt"), {3.14f, 2.7f, 1.0f, 2.0f, 3.0f, 100.0f}, ops::Const(s.WithOpName("dflt"), {3.14f, 2.7f, 1.0f, 2.0f, 3.0f, 100.0f},

4
tensorflow/core/grappler/utils_test.cc
View File

@ -423,10 +423,10 @@ TEST(IsKernelRegisteredForNode, All) {
v.set_type(DataType::DT_FLOAT); v.set_type(DataType::DT_FLOAT);
(*node.mutable_attr())["T"] = v; (*node.mutable_attr())["T"] = v;
TF_EXPECT_OK(IsKernelRegisteredForNode(node)); TF_EXPECT_OK(IsKernelRegisteredForNode(node));
#ifdef GOOGLE_CUDA #ifdef GOOGLE_CUDA || TENSORFLOW_USE_ROCM
node.set_device("/gpu:0"); node.set_device("/gpu:0");
TF_EXPECT_OK(IsKernelRegisteredForNode(node)); TF_EXPECT_OK(IsKernelRegisteredForNode(node));
#endif // GOOGLE_CUDA #endif // GOOGLE_CUDA || TENSORFLOW_USE_ROCM
// Bad device name. // Bad device name.
node.set_device(""); node.set_device("");