43 lines
1.7 KiB
TableGen
43 lines
1.7 KiB
TableGen
/* Copyright 2019 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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// This is the canonicalize pattern definition file.
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include "mlir/IR/OpBase.td"
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include "mlir-hlo/Dialect/mhlo/IR/hlo_ops.td"
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include "mlir-hlo/Dialect/mhlo/IR/hlo_utils.td"
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def UnaryToBinaryEinsumEq : NativeCodeCall<
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"$_builder.getStringAttr(\",\" + $0.getValue().str())">;
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// Convert UnaryEinsumOp to EinsumOp with two operands with redundant first
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// operand.
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def UnaryEinsumToEinsum : Pat<
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(HLO_UnaryEinsumOp $operand, $equation),
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(HLO_EinsumOp (HLO_ConstOp (GetScalarOfType<1> $operand)),
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$operand, (UnaryToBinaryEinsumEq $equation))>;
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// A dynamic reshape of a dynamic reshape is a dynamic reshape.
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def RemoveRedundantDynamicReshape : Pat<
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(HLO_DynamicReshapeOp (HLO_DynamicReshapeOp $operand, $shape1), $shape2),
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(HLO_DynamicReshapeOp $operand, $shape2)>;
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// A dynamic broadcast of a dynamic reshape with the same shape operand
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// is a dynamic reshape.
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def RemoveRedundantDynamicBroadcast : Pat<
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(HLO_DynamicBroadcastInDimOp
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(HLO_DynamicReshapeOp $operand, $shape), $shape, $dims),
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(HLO_DynamicReshapeOp $operand, $shape)>;
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