/**
 * @license
 * Copyright 2020 Google LLC. All Rights Reserved.
 * Licensed under the Apache License, Version 2.0 (the License);
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an AS IS BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 * =============================================================================
 */
import { _FusedMatMul } from '@tensorflow/tfjs-core';
import { applyActivation } from '../utils/fused_utils';
import { add } from './Add';
import { batchMatMul } from './BatchMatMul';
export function _fusedMatMul(args) {
    const { inputs, backend, attrs } = args;
    const { a, b, bias, preluActivationWeights } = inputs;
    const { transposeA, transposeB, activation, leakyreluAlpha } = attrs;
    let current;
    let addRes;
    let activationRes;
    const intermediates = [];
    const matMulRes = batchMatMul({ inputs: { a, b }, attrs: { transposeA, transposeB }, backend });
    current = matMulRes;
    if (bias) {
        addRes = add({ inputs: { a: current, b: bias }, backend });
        intermediates.push(current);
        current = addRes;
    }
    if (activation) {
        activationRes = applyActivation(backend, current, activation, preluActivationWeights, leakyreluAlpha);
        intermediates.push(current);
        current = activationRes;
    }
    for (const i of intermediates) {
        backend.disposeIntermediateTensorInfo(i);
    }
    return current;
}
export const _fusedMatMulConfig = {
    kernelName: _FusedMatMul,
    backendName: 'cpu',
    kernelFunc: _fusedMatMul,
};
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