/**
 * @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 { Relu } from '@tensorflow/tfjs-core';
import { unaryKernelFunc } from '../kernel_utils/kernel_funcs_utils';
import { CHECK_NAN_SNIPPET } from '../unaryop_gpu';
const RELU = CHECK_NAN_SNIPPET + `
  return (x < 0.0) ? 0.0 : x;
`;
const RELU_PACKED = `
  vec4 result = x * vec4(greaterThanEqual(x, vec4(0.0)));
  bvec4 isNaN = isnan(x);

  result.r = isNaN.r ? x.r : result.r;
  result.g = isNaN.g ? x.g : result.g;
  result.b = isNaN.b ? x.b : result.b;
  result.a = isNaN.a ? x.a : result.a;

  return result;
`;
export const relu = unaryKernelFunc({ opSnippet: RELU, packedOpSnippet: RELU_PACKED });
export const reluConfig = {
    kernelName: Relu,
    backendName: 'webgl',
    kernelFunc: relu
};
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