wehub-resource-sync
70 lines
2.9 KiB
C++
70 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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#ifndef TENSORFLOW_COMPILER_TF2XLA_SHARDING_UTIL_H_
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#define TENSORFLOW_COMPILER_TF2XLA_SHARDING_UTIL_H_
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#include <string>
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#include "xla/hlo/builder/sharding_builder.h"
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#include "xla/hlo/builder/xla_builder.h"
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#include "xla/shape.h"
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#include "xla/status_macros.h"
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#include "tensorflow/core/graph/graph.h"
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#include "tensorflow/core/lib/core/status.h"
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namespace tensorflow {
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// Parses the op sharding from the 'replicated core' device_name <device_name>.
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// Returns an error:
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// - if the device name is invalid.
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// - the core is parsed and is out of the range [0, num_cores_per_replica).
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//
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// Otherwise, returns either:
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// - explicit_sharding if explicit_sharding.has_value()
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// - a non-value if there is no assigned core or
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// - a sharding set as per xla::sharding_builder::SingleDevice.
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absl::StatusOr<std::optional<xla::OpSharding>> ParseShardingFromDevice(
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const std::string& device_name, int num_cores_per_replica,
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std::optional<xla::OpSharding> explicit_sharding = std::nullopt,
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std::optional<xla::OpMetadata> metadata = std::nullopt);
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absl::StatusOr<std::optional<xla::OpSharding>> ParseShardingFromDevice(
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const Node& node, int num_cores_per_replica, bool add_metadata);
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absl::StatusOr<std::optional<xla::OpSharding>> ParseShardingFromDevice(
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const NodeDef& node_def, int num_cores_per_replica, bool add_metadata);
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absl::StatusOr<std::optional<xla::OpSharding>> ParseShardingFromEdgeSource(
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const Edge& edge, int num_cores_per_replica, bool add_metadata);
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void SetShardingDeviceAssignmentFromNode(const Node& src, Node* dst);
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// Get sharding inforamtion from node.
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absl::StatusOr<std::optional<xla::OpSharding>> GetShardingFromNodeDef(
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const NodeDef& node_def, bool add_metadata);
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// Add shardy shardings in the frontend attributes of the op by converting
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// existing hlo shardings set in the builder.
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//
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// Note: The mesh is inlined within sharding attribute instead of being stored
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// separately, because shardings are generated per op and stored in their
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// frontend attributes.
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absl::Status addSdyShardingFrontendAttribute(xla::XlaBuilder* builder,
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xla::XlaOp op, xla::Shape shape,
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bool is_single_arg = false);
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} // namespace tensorflow
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#endif // TENSORFLOW_COMPILER_TF2XLA_SHARDING_UTIL_H_
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