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greater_equal.ts
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greater_equal.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 {ENGINE} from '../engine';
import {GreaterEqual, GreaterEqualInputs} from '../kernel_names';
import {Tensor} from '../tensor';
import {NamedTensorMap} from '../tensor_types';
import {makeTypesMatch} from '../tensor_util';
import {convertToTensor} from '../tensor_util_env';
import {TensorLike} from '../types';
import {assertAndGetBroadcastShape} from './broadcast_util';
import {op} from './operation';
/**
* Returns the truth value of (a >= b) element-wise. Supports broadcasting.
*
* ```js
* const a = tf.tensor1d([1, 2, 3]);
* const b = tf.tensor1d([2, 2, 2]);
*
* a.greaterEqual(b).print();
* ```
*
* @param a The first input tensor.
* @param b The second input tensor. Must have the same dtype as `a`.
*
* @doc {heading: 'Operations', subheading: 'Logical'}
*/
function greaterEqual_<T extends Tensor>(
a: Tensor|TensorLike, b: Tensor|TensorLike): T {
let $a = convertToTensor(a, 'a', 'greaterEqual', 'string_or_numeric');
let $b = convertToTensor(b, 'b', 'greaterEqual', 'string_or_numeric');
[$a, $b] = makeTypesMatch($a, $b);
assertAndGetBroadcastShape($a.shape, $b.shape);
const inputs: GreaterEqualInputs = {a: $a, b: $b};
return ENGINE.runKernel(GreaterEqual, inputs as unknown as NamedTensorMap);
}
export const greaterEqual = /* @__PURE__ */ op({greaterEqual_});