@tensorflow/tfjs-core
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Hardware-accelerated JavaScript library for machine intelligence
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JavaScript
;
/**
* @license
* Copyright 2019 Google Inc. 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.
* =============================================================================
*/
Object.defineProperty(exports, "__esModule", { value: true });
var engine_1 = require("../engine");
var tensor_util_env_1 = require("../tensor_util_env");
var operation_1 = require("./operation");
/**
* Computes square of `x` element-wise: `x ^ 2`
*
* ```js
* const x = tf.tensor1d([1, 2, Math.sqrt(2), -1]);
*
* x.square().print(); // or tf.square(x)
* ```
* @param x The input Tensor.
*/
/** @doc {heading: 'Operations', subheading: 'Basic math'} */
function square_(x) {
var $x = tensor_util_env_1.convertToTensor(x, 'x', 'square');
var attrs = {};
var inputsToSave = [$x];
var outputsToSave = [];
return engine_1.ENGINE.runKernelFunc(function (backend, save) {
save([$x]);
return backend.square($x);
}, { x: $x }, null /* grad */, 'Square', attrs, inputsToSave, outputsToSave);
}
exports.square = operation_1.op({ square_: square_ });
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