74 lines
2.9 KiB
C++
74 lines
2.9 KiB
C++
/* Copyright 2017 The TensorFlow Authors. All Rights Reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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==============================================================================*/
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#include <memory>
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#include <string>
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#include "absl/strings/str_format.h"
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#include "tensorflow/compiler/xla/array4d.h"
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#include "tensorflow/compiler/xla/client/client.h"
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#include "tensorflow/compiler/xla/client/client_library.h"
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#include "tensorflow/compiler/xla/client/global_data.h"
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#include "tensorflow/compiler/xla/client/local_client.h"
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#include "tensorflow/compiler/xla/client/xla_builder.h"
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#include "tensorflow/compiler/xla/client/xla_computation.h"
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#include "tensorflow/compiler/xla/literal.h"
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#include "tensorflow/compiler/xla/statusor.h"
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#include "tensorflow/compiler/xla/types.h"
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#include "tensorflow/compiler/xla/xla_data.pb.h"
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#include "tensorflow/core/platform/init_main.h"
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#include "tensorflow/core/platform/logging.h"
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int main(int argc, char** argv) {
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tensorflow::port::InitMain(argv[0], &argc, &argv);
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xla::LocalClient* client(xla::ClientLibrary::LocalClientOrDie());
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// Transfer parameters.
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xla::Literal param0_literal =
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xla::LiteralUtil::CreateR1<float>({1.1f, 2.2f, 3.3f, 5.5f});
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std::unique_ptr<xla::GlobalData> param0_data =
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client->TransferToServer(param0_literal).ConsumeValueOrDie();
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xla::Literal param1_literal = xla::LiteralUtil::CreateR2<float>(
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{{3.1f, 4.2f, 7.3f, 9.5f}, {1.1f, 2.2f, 3.3f, 4.4f}});
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std::unique_ptr<xla::GlobalData> param1_data =
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client->TransferToServer(param1_literal).ConsumeValueOrDie();
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// Build computation.
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xla::XlaBuilder builder("");
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auto p0 = Parameter(&builder, 0, param0_literal.shape(), "param0");
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auto p1 = Parameter(&builder, 1, param1_literal.shape(), "param1");
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Add(p1, p0, {0});
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xla::StatusOr<xla::XlaComputation> computation_status = builder.Build();
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xla::XlaComputation computation = computation_status.ConsumeValueOrDie();
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// Execute and transfer result of computation.
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xla::ExecutionProfile profile;
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xla::StatusOr<xla::Literal> result = client->ExecuteAndTransfer(
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computation,
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/*arguments=*/{param0_data.get(), param1_data.get()},
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/*execution_options=*/nullptr,
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/*execution_profile=*/&profile);
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xla::Literal actual = result.ConsumeValueOrDie();
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LOG(INFO) << absl::StrFormat("computation took %dns",
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profile.compute_time_ns());
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LOG(INFO) << actual.ToString();
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return 0;
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}
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