/**
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* @license
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* Copyright 2020 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 {KernelConfig, Max, MaxAttrs, MaxInputs, tensor1d, util} from '@tensorflow/tfjs';
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import {NodeJSKernelBackend} from '../nodejs_kernel_backend';
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export const maxConfig: KernelConfig = {
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kernelName: Max,
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backendName: 'tensorflow',
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kernelFunc: (args) => {
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const {x} = args.inputs as MaxInputs;
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const backend = args.backend as NodeJSKernelBackend;
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const {reductionIndices, keepDims} = args.attrs as unknown as MaxAttrs;
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const axes = util.parseAxisParam(reductionIndices, x.shape);
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const axesTensor = tensor1d(axes, 'int32');
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const res = backend.executeSingleOutput(
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Max, backend.createReductionOpAttrs(x, keepDims), [x, axesTensor]);
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axesTensor.dispose();
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return res;
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}
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};
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