71 lines
2.6 KiB
C++
71 lines
2.6 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 "tensorflow/compiler/xla/service/interpreter/executable.h"
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#include <algorithm>
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#include <cstring>
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#include <string>
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#include <utility>
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#include <vector>
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#include "absl/memory/memory.h"
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#include "tensorflow/compiler/xla/literal.h"
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#include "tensorflow/compiler/xla/service/hlo_computation.h"
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#include "tensorflow/compiler/xla/service/hlo_instruction.h"
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#include "tensorflow/compiler/xla/service/interpreter/executable_base.h"
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#include "tensorflow/compiler/xla/service/interpreter/executor.h"
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#include "tensorflow/compiler/xla/service/maybe_owning_device_memory.h"
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#include "tensorflow/compiler/xla/service/transfer_manager.h"
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#include "tensorflow/compiler/xla/shape_util.h"
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#include "tensorflow/compiler/xla/status_macros.h"
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#include "tensorflow/core/lib/core/errors.h"
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#include "tensorflow/core/platform/env.h"
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#include "tensorflow/core/platform/stream_executor_no_cuda.h"
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namespace xla {
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namespace interpreter {
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InterpreterExecutable::InterpreterExecutable(
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std::unique_ptr<HloModule> hlo_module,
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std::unique_ptr<HloEvaluator> evaluator,
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absl::optional<DynamicDimensionInference> dynamic_dymension_inference)
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: InterpreterExecutableBase(std::move(hlo_module)),
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evaluator_(std::move(evaluator)),
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dynamic_dimension_inference_(std::move(dynamic_dymension_inference)) {
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if (dynamic_dimension_inference_.has_value()) {
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evaluator_->set_dynamic_dimension_inference(
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&dynamic_dimension_inference_.value());
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}
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}
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StatusOr<Literal> InterpreterExecutable::Evaluate(
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const HloComputation& computation, absl::Span<const Literal> arg_literals) {
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// Execute the graph using the HloEvaluator.
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tensorflow::mutex_lock lock(evaluator_lock_);
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evaluator_->ResetVisitStates();
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return evaluator_->Evaluate(computation, arg_literals);
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}
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/*static*/ int64 InterpreterExecutable::ShapeSizeBytes(const Shape& shape) {
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if (shape.IsOpaque()) {
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return sizeof(void*);
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}
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return ShapeUtil::ByteSizeOf(shape, sizeof(void*));
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}
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} // namespace interpreter
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} // namespace xla
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