/**
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* @license
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* 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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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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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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*/
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import {Tensor, Tensor3D, Tensor4D} from '../tensor';
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import {Conv2DInfo} from './conv_util';
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export type Activation = 'linear'|'relu'|'prelu'|'elu'|'relu6';
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export type FusedBatchMatMulConfig = {
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a: Tensor3D,
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b: Tensor3D,
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transposeA: boolean,
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transposeB: boolean,
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bias?: Tensor,
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activation?: Activation,
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preluActivationWeights?: Tensor
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};
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export type FusedConv2DConfig = {
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input: Tensor4D,
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filter: Tensor4D,
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convInfo: Conv2DInfo,
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bias?: Tensor,
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activation?: Activation,
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preluActivationWeights?: Tensor
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};
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// Whether we should call fused ops.
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export const shouldFuse = (gradientDepth: number, activation: Activation) => {
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const gradientMode = gradientDepth > 0;
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return !gradientMode || activation === 'linear';
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};
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