@tensorflow/tfjs-core
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Hardware-accelerated JavaScript library for machine intelligence
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text/typescript
/**
* @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 {RotateWithOffset, RotateWithOffsetAttrs, RotateWithOffsetInputs} from '../../kernel_names';
import {NamedAttrMap} from '../../kernel_registry';
import {Tensor4D} from '../../tensor';
import {NamedTensorMap} from '../../tensor_types';
import {convertToTensor} from '../../tensor_util_env';
import {TensorLike} from '../../types';
import * as util from '../../util';
import {op} from '../operation';
/**
* Rotates the input image tensor counter-clockwise with an optional offset
* center of rotation. Currently available in the CPU, WebGL, and WASM backends.
*
* @param image 4d tensor of shape `[batch, imageHeight, imageWidth, depth]`.
* @param radians The amount of rotation.
* @param fillValue The value to fill in the empty space leftover
* after rotation. Can be either a single grayscale value (0-255), or an
* array of three numbers `[red, green, blue]` specifying the red, green,
* and blue channels. Defaults to `0` (black).
* @param center The center of rotation. Can be either a single value (0-1), or
* an array of two numbers `[centerX, centerY]`. Defaults to `0.5` (rotates
* the image around its center).
*
* @doc {heading: 'Operations', subheading: 'Images', namespace: 'image'}
*/
function rotateWithOffset_(
image: Tensor4D|TensorLike, radians: number,
fillValue: number|[number, number, number] = 0,
center: number|[number, number] = 0.5): Tensor4D {
const $image = convertToTensor(image, 'image', 'rotateWithOffset', 'float32');
util.assert(
$image.rank === 4,
() => 'Error in rotateWithOffset: image must be rank 4,' +
`but got rank ${$image.rank}.`);
const inputs: RotateWithOffsetInputs = {image: $image};
const attrs: RotateWithOffsetAttrs = {radians, fillValue, center};
const res = ENGINE.runKernel(
RotateWithOffset, inputs as {} as NamedTensorMap,
attrs as {} as NamedAttrMap);
return res as Tensor4D;
}
export const rotateWithOffset = op({rotateWithOffset_});