@tensorflow/tfjs-core/src/backends/webgl/kernels/Div_impl.ts

Hardware-accelerated JavaScript library for machine intelligence

/**
 * @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 {env} from '../../../environment';
import {TensorInfo} from '../../../kernel_registry';
import {MathBackendWebGL} from '../backend_webgl';
import * as binaryop_gpu from '../binaryop_gpu';
import {BinaryOpProgram} from '../binaryop_gpu';
import * as binaryop_packed_gpu from '../binaryop_packed_gpu';
import {BinaryOpPackedProgram} from '../binaryop_packed_gpu';

export function divImpl(
    a: TensorInfo, b: TensorInfo, backend: MathBackendWebGL): TensorInfo {
  let program = new BinaryOpProgram(binaryop_gpu.DIV, a.shape, b.shape);
  if (env().getBool('WEBGL_PACK_BINARY_OPERATIONS')) {
    program = new BinaryOpPackedProgram(
        binaryop_packed_gpu.DIV, a.shape, b.shape, true);
  }
  const output = backend.runWebGLProgram(program, [a, b], 'float32');
  return output;
}