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Diag.ts
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Diag.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 {buffer, Diag, DiagInputs, KernelConfig, KernelFunc, TensorInfo, TypedArray, util} from '@tensorflow/tfjs-core';
import {MathBackendCPU} from '../backend_cpu';
export function diag(args: {inputs: DiagInputs, backend: MathBackendCPU}):
TensorInfo {
const {inputs, backend} = args;
const {x} = inputs;
const xSize = util.sizeFromShape(x.shape);
const xVals = backend.data.get(x.dataId).values as TypedArray;
const outBuf = buffer([xSize, xSize], x.dtype);
const vals = outBuf.values;
for (let i = 0; i < xVals.length; i++) {
vals[i * xSize + i] = xVals[i];
}
const outShape = [...x.shape, ...x.shape];
return backend.makeTensorInfo(outShape, outBuf.dtype, outBuf.values);
}
export const diagConfig: KernelConfig = {
kernelName: Diag,
backendName: 'cpu',
kernelFunc: diag as unknown as KernelFunc
};