wehub-resource-sync
95 lines
3.1 KiB
C++
95 lines
3.1 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_OP_UTILS_H_
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#define TENSORFLOW_DTENSOR_MLIR_OP_UTILS_H_
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#include <cstdint>
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#include <optional>
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#include <string>
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#include "mlir/Dialect/Func/IR/FuncOps.h" // from @llvm-project
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#include "mlir/IR/BuiltinOps.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 "mlir/Support/LogicalResult.h" // from @llvm-project
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#include "tensorflow/dtensor/mlir/ir/tf_dtensor.h"
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namespace tensorflow {
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namespace dtensor {
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// Computes a deterministic hash of the given operation.
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uint64_t OpHash(mlir::Operation* op);
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inline std::string OpName(mlir::Operation* op) {
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auto ref = op->getName().getStringRef();
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return ref.str();
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}
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inline std::string GetFullOpName(const std::string& name) {
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return "tf." + name;
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}
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// Returns FuncOp if `op` is a callable.
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std::optional<mlir::func::FuncOp> MaybeFindFunction(mlir::Operation* op);
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// DTensorLayout only conveys layout information of tensors which is no
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// longer needed after SPMD expansion. As so, remove all layouts from
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// graph.
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//
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// If `remove_xla_spmd_layouts` is set to false, then Layouts that have
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// Mesh config with use_xla_spmd=True will not be deleted.
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//
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// Removes tf.DTensorLayout op and forwards it's input to it's users.
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// For example:
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// %0 = tf.A()
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// %1 = tf.DTensorLayout(%0)
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// %2 = tf.B(%1)
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//
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// Will be converted to:
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// %0 = tf.A()
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// %2 = tf.B(%0)
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void RemoveDTensorLayoutOps(mlir::ModuleOp module,
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bool remove_xla_spmd_layouts);
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// Canonicalizer and DCE transformation passes may removed ops in the graph and
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// result in multiple consecutive DTensorLayout ops. Detect all such cases and
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// replace unnecessary DTensorLayout ops with Identity ops.
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//
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// Removes tf.DTensorLayouts and inserts a tf.Identity.
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// For example:
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// %0 = tf.DTensorLayout(arg0)
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// %1 = tf.DTensorLayout(%0)
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// %2 = tf.Add(%1, %1)
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//
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// Will be converted to:
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// %0 = tf.Identity(arg0)
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// %1 = tf.DTensorLayout(%0)
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// %2 = tf.Add(%1, %1)
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mlir::LogicalResult ReplaceAuxiliaryDTensorLayoutOpsWithIdentity(
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mlir::ModuleOp module);
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// For all constants with multiple usages, clone the constants so that each
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// constant operation has at most 1 usage.
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void DuplicateConstants(mlir::Operation* op);
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// Constructs the dtensor Operation name from a module object.
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std::string GetOperationName(mlir::ModuleOp module);
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} // namespace dtensor
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} // namespace tensorflow
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#endif // TENSORFLOW_DTENSOR_MLIR_OP_UTILS_H_
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