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fft.ts
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fft.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 {FFT, FFTInputs} from '../../kernel_names';
import {Tensor} from '../../tensor';
import {NamedTensorMap} from '../../tensor_types';
import {assert} from '../../util';
import {op} from '../operation';
/**
* Fast Fourier transform.
*
* Computes the 1-dimensional discrete Fourier transform over the inner-most
* dimension of input.
*
* ```js
* const real = tf.tensor1d([1, 2, 3]);
* const imag = tf.tensor1d([1, 2, 3]);
* const x = tf.complex(real, imag);
*
* x.fft().print(); // tf.spectral.fft(x).print();
* ```
* @param input The complex input to compute an fft over.
*
* @doc {heading: 'Operations', subheading: 'Spectral', namespace: 'spectral'}
*/
function fft_(input: Tensor): Tensor {
assert(
input.dtype === 'complex64',
() => `The dtype for tf.spectral.fft() must be complex64 ` +
`but got ${input.dtype}.`);
const inputs: FFTInputs = {input};
return ENGINE.runKernel(FFT, inputs as unknown as NamedTensorMap);
}
export const fft = /* @__PURE__ */ op({fft_});