b1ca116103
ruy code taking advantage of LHS<->RHS code symmetry to remove some redundancy. The key motivation was that I want to experiment with some nontrivial changes to how TrMulTask handles the packing of blocks, and I didn't want to have to maintain two copies of this nontrivial code. With this change, this code is now in a EnsurePacked method that's all I'll have to edit. PiperOrigin-RevId: 259980220
39 lines
1.6 KiB
C++
39 lines
1.6 KiB
C++
/* Copyright 2019 Google LLC. 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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// As a matrix multiplication library, Ruy offers a Mul entry point, performing
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// matrix multiplication. For implementation purposes, it is much nicer to
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// be dealing with the transpose-and-multiply operation, doing
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// Destination = Transpose(LHS) * RHS
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// Indeed, the latter is performing dot-products between the *columns* of LHS
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// and the columns of RHS, whereas a plain matrix multiplication is performing
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// dot-products between the *rows* of LHS and the columns of RHS.
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// That is why TrMul is nicer to implement, allowing for a more symmetric
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// treatment of LHS and RHS.
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#ifndef TENSORFLOW_LITE_EXPERIMENTAL_RUY_TRMUL_H_
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#define TENSORFLOW_LITE_EXPERIMENTAL_RUY_TRMUL_H_
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#include "tensorflow/lite/experimental/ruy/context.h"
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#include "tensorflow/lite/experimental/ruy/trmul_params.h"
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namespace ruy {
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void TrMul(TrMulParams* params, Context* context);
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} // namespace ruy
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#endif // TENSORFLOW_LITE_EXPERIMENTAL_RUY_TRMUL_H_
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