| /* Copyright 2022 The TensorFlow Authors. All Rights Reserved. |
| |
| Licensed under the Apache License, Version 2.0 (the "License"); |
| you may not use this file except in compliance with the License. |
| You may obtain a copy of the License at |
| |
| http://www.apache.org/licenses/LICENSE-2.0 |
| |
| Unless required by applicable law or agreed to in writing, software |
| distributed under the License is distributed on an "AS IS" BASIS, |
| WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| See the License for the specific language governing permissions and |
| limitations under the License. |
| ==============================================================================*/ |
| |
| #include "tensorflow/compiler/xla/pjrt/cpu_device.h" |
| |
| #include "absl/types/span.h" |
| #include "tensorflow/compiler/xla/client/executable_build_options.h" |
| #include "tensorflow/compiler/xla/client/xla_builder.h" |
| #include "tensorflow/compiler/xla/pjrt/pjrt_client.h" |
| #include "tensorflow/compiler/xla/test.h" |
| #include "tensorflow/compiler/xla/tests/literal_test_util.h" |
| |
| namespace xla { |
| namespace { |
| |
| TEST(CpuStreamDeviceTest, BlocksDeviceToHostStream) { // b/214236179 |
| const float data[] = {1, 2, 3, 4}; |
| auto client = *GetCpuClient(true); |
| auto* device = client->devices()[0]; |
| auto buffer = *client->BufferFromHostBuffer( |
| &data, PrimitiveType::F32, {4}, std::nullopt, |
| PjRtClient::HostBufferSemantics::kZeroCopy, {}, device); |
| auto literal = *buffer->ToLiteralSync(); |
| } |
| |
| } // namespace |
| } // namespace xla |