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ExpandDims.ts
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ExpandDims.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 {ExpandDims, ExpandDimsAttrs, ExpandDimsInputs, KernelConfig, KernelFunc, TensorInfo, util} from '@tensorflow/tfjs-core';
import {MathBackendCPU} from '../backend_cpu';
import {reshape} from './Reshape';
export function expandDims(args: {
inputs: ExpandDimsInputs,
backend: MathBackendCPU,
attrs: ExpandDimsAttrs
}): TensorInfo {
const {inputs, backend, attrs} = args;
const {input} = inputs;
const {dim} = attrs;
const inputRank = input.shape.length;
const newShape = input.shape.slice();
let $dim = dim;
if (dim < 0) {
// Negative value is counted from the tail of rank.
util.assert(
-(inputRank + 1) <= dim,
() => `Axis must be in the interval [${- (inputRank + 1)}, ${
inputRank}]`);
$dim = inputRank + dim + 1;
}
newShape.splice($dim, 0, 1);
return reshape({inputs: {x: input}, backend, attrs: {shape: newShape}});
}
export const expandDimsConfig: KernelConfig = {
kernelName: ExpandDims,
backendName: 'cpu',
kernelFunc: expandDims as unknown as KernelFunc
};