61 lines
2.5 KiB
C++
61 lines
2.5 KiB
C++
/* Copyright 2020 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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#ifndef TENSORFLOW_COMPILER_XLA_PJRT_UTILS_H_
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#define TENSORFLOW_COMPILER_XLA_PJRT_UTILS_H_
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#include "absl/container/flat_hash_set.h"
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#include "tensorflow/compiler/xla/client/executable_build_options.h"
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#include "tensorflow/compiler/xla/client/xla_computation.h"
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#include "tensorflow/compiler/xla/service/computation_placer.h"
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#include "tensorflow/compiler/xla/service/hlo_module.h"
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#include "tensorflow/compiler/xla/shape.h"
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#include "tensorflow/compiler/xla/statusor.h"
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namespace xla {
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// Returns the num_replicas, num_partitions and device assignment given a
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// ExecutableBuildOptions and whether we want a portable executable.
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Status ParseDeviceAssignmentCompileOptions(
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bool compile_portable_executable, ExecutableBuildOptions* build_options,
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std::function<StatusOr<DeviceAssignment>(int, int)>
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GetDefaultDeviceAssignmentFunction,
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int* num_replicas, int* num_partitions,
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std::shared_ptr<DeviceAssignment>* device_assignment);
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// Returns pointers to the argument layouts given an XlaComputation and
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// ExecutableBuildOptions.
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Status DetermineArgumentLayoutsFromCompileOptions(
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const XlaComputation& computation,
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std::function<StatusOr<Shape>(Shape)>
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choose_compact_layout_for_shape_function,
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absl::optional<std::vector<Shape>>& argument_layouts,
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ExecutableBuildOptions* build_options,
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std::vector<const Shape*>* argument_layout_pointers);
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// Executables can donate buffers so that buffers can be aliased from inputs
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// to outputs. This function returns the list of parameters that must be
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// donated when executable is run. tuple_inputs reflects the option that
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// executable was compiled with.
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StatusOr<absl::flat_hash_set<int>> GetParametersThatMustBeDonated(
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const HloModule& module, bool tuple_inputs);
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// Return max parallelism level.
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int DefaultThreadPoolSize();
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} // namespace xla
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#endif // TENSORFLOW_COMPILER_XLA_PJRT_UTILS_H_
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