50 lines
2.1 KiB
C++
50 lines
2.1 KiB
C++
/* Copyright 2022 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_DTENSOR_MLIR_DEVICE_UTILS_H_
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#define TENSORFLOW_DTENSOR_MLIR_DEVICE_UTILS_H_
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#include "mlir/Dialect/Func/IR/FuncOps.h" // from @llvm-project
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#include "mlir/IR/Builders.h" // from @llvm-project
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#include "mlir/IR/BuiltinOps.h" // from @llvm-project
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#include "mlir/IR/Location.h" // from @llvm-project
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#include "mlir/IR/Operation.h" // from @llvm-project
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#include "mlir/IR/Value.h" // from @llvm-project
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#include "tensorflow/dtensor/cc/dstatus.h"
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#include "tensorflow/dtensor/cc/tensor_layout.h"
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namespace tensorflow {
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namespace dtensor {
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// Returns an MLIR value representing the current device ID. Passing op is
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// assumed to be wrapped by a function graph from dtensor_device, and the first
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// argument of the it need to be DeviceId.
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StatusOr<mlir::Value> DeviceId(mlir::Operation* op);
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StatusOr<mlir::Value> DeviceId(mlir::Value val);
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// Returns the device ordinal of the device executing a function. Device ordinal
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// is the index of a TF device among all TF devices of the same type attached to
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// the same TF task.
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StatusOr<mlir::Value> GetDeviceOrdinal(const Mesh& mesh,
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const mlir::Location& loc,
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mlir::func::FuncOp function,
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mlir::OpBuilder* builder,
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bool return_int64_type = true);
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} // namespace dtensor
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} // namespace tensorflow
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#endif // TENSORFLOW_DTENSOR_MLIR_DEVICE_UTILS_H_
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