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DenseBincount.ts
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DenseBincount.ts
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/**
* @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 {DenseBincount, DenseBincountAttrs, DenseBincountInputs, KernelConfig, KernelFunc, Rank, TensorInfo, TypedArray} from '@tensorflow/tfjs-core';
import {MathBackendCPU} from '../backend_cpu';
import {bincountImpl, bincountReduceImpl} from './Bincount_impl';
export function denseBincount(args: {
inputs: DenseBincountInputs,
backend: MathBackendCPU,
attrs: DenseBincountAttrs
}): TensorInfo {
const {inputs, backend, attrs} = args;
const {x, weights} = inputs;
const {size, binaryOutput} = attrs;
if (x.shape.length === 1) {
const xVals = backend.data.get(x.dataId).values as TypedArray;
const weightsVals = backend.data.get(weights.dataId).values as TypedArray;
const outVals =
bincountImpl(xVals, weightsVals, weights.dtype, weights.shape, size);
return backend.makeTensorInfo([size], weights.dtype, outVals);
} else if (x.shape.length === 2) {
const xBuf = backend.bufferSync<Rank, 'float32'>(x);
const weightsBuf = backend.bufferSync<Rank, 'float32'>(weights);
const outBuf = bincountReduceImpl(xBuf, weightsBuf, size, binaryOutput);
return backend.makeTensorInfo(outBuf.shape, weights.dtype, outBuf.values);
}
throw new Error(
`Error in denseBincount: input must be at most rank 2, but got rank` +
`${x.shape.length}.`);
}
export const denseBincountConfig: KernelConfig = {
kernelName: DenseBincount,
backendName: 'cpu',
kernelFunc: denseBincount as unknown as KernelFunc
};