/**
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* @license
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* Copyright 2021 Google LLC. All Rights Reserved.
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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* =============================================================================
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*/
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import { Transform, util } from '@tensorflow/tfjs-core';
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export function transform(args) {
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const { inputs, attrs, backend } = args;
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const { image, transforms } = inputs;
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const { interpolation, fillMode, fillValue, outputShape } = attrs;
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const [batch, imageHeight, imageWidth, numChannels] = image.shape;
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const [outHeight, outWidth] = outputShape != null ? outputShape : [imageHeight, imageWidth];
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const outShape = [batch, outHeight, outWidth, numChannels];
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const inStrides = util.computeStrides(image.shape);
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const batchInStride = inStrides[0];
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const rowInStride = inStrides[1];
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const colInStride = inStrides[2];
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const outStrides = util.computeStrides(outShape);
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const batchOutStride = outStrides[0];
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const rowOutStride = outStrides[1];
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const colOutStride = outStrides[2];
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const outVals = util.getTypedArrayFromDType(image.dtype, util.sizeFromShape(outShape));
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outVals.fill(fillValue);
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const imageVals = backend.data.get(image.dataId).values;
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const transformVals = backend.data.get(transforms.dataId).values;
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// Ref TF implementation:
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// https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/image/image_ops.h
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for (let b = 0; b < batch; ++b) {
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const transform = transforms.shape[0] === 1 ?
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transformVals :
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transformVals.subarray(b * 8, b * 8 + 8);
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for (let outY = 0; outY < outHeight; ++outY) {
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for (let outX = 0; outX < outWidth; ++outX) {
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for (let channel = 0; channel < numChannels; ++channel) {
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let val;
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const projection = transform[6] * outX + transform[7] * outY + 1;
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if (projection === 0) {
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// Return the fill value for infinite coordinates,
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// which are outside the input image
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continue;
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}
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const inX = (transform[0] * outX + transform[1] * outY + transform[2]) /
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projection;
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const inY = (transform[3] * outX + transform[4] * outY + transform[5]) /
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projection;
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const x = mapCoord(inX, imageWidth, fillMode);
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const y = mapCoord(inY, imageHeight, fillMode);
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switch (interpolation) {
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case 'nearest':
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val = nearestInterpolation(imageVals, imageHeight, imageWidth, batchInStride, rowInStride, colInStride, b, y, x, channel, fillValue);
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break;
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case 'bilinear':
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val = bilinearInterpolation(imageVals, imageHeight, imageWidth, batchInStride, rowInStride, colInStride, b, y, x, channel, fillValue);
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break;
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default:
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throw new Error(`Error in Transform: Expect 'nearest' or ` +
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`'bilinear', but got ${interpolation}`);
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}
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const ind = b * batchOutStride + outY * rowOutStride +
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outX * colOutStride + channel;
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outVals[ind] = val;
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}
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}
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}
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return backend.makeTensorInfo(outShape, image.dtype, outVals);
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}
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const dataId = backend.write(outVals, outShape, image.dtype);
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return { dataId, shape: image.shape, dtype: image.dtype };
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}
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export const transformConfig = {
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kernelName: Transform,
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backendName: 'cpu',
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kernelFunc: transform
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};
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function mapCoord(outCoord, len, mode) {
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switch (mode) {
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case 'reflect':
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return mapCoordReflect(outCoord, len);
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case 'wrap':
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return mapCoordWrap(outCoord, len);
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case 'nearest':
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return mapCoordNearest(outCoord, len);
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case 'constant':
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default:
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return mapCoordConstant(outCoord, len);
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}
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}
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function mapCoordReflect(outCoord, len) {
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// Reflect [abcd] to [dcba|abcd|dcba].
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let inCoord = outCoord;
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if (inCoord < 0) {
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if (len <= 1) {
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inCoord = 0;
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}
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else {
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const sz2 = 2 * len;
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if (inCoord < sz2) {
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inCoord = sz2 * Math.trunc(-inCoord / sz2) + inCoord;
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}
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inCoord = inCoord < -len ? inCoord + sz2 : -inCoord - 1;
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}
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}
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else if (inCoord > len - 1) {
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if (len <= 1) {
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inCoord = 0;
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}
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else {
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const sz2 = 2 * len;
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inCoord -= sz2 * Math.trunc(inCoord / sz2);
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if (inCoord >= len) {
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inCoord = sz2 - inCoord - 1;
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}
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}
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}
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// clamp is necessary because when outCoord = 3.5 and len = 4,
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// inCoord = 3.5 and will be rounded to 4 in nearest interpolation.
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return util.clamp(0, inCoord, len - 1);
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}
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function mapCoordWrap(outCoord, len) {
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// Wrap [abcd] to [abcd|abcd|abcd].
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let inCoord = outCoord;
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if (inCoord < 0) {
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if (len <= 1) {
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inCoord = 0;
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}
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else {
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const sz = len - 1;
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inCoord += len * (Math.trunc(-inCoord / sz) + 1);
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}
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}
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else if (inCoord > len - 1) {
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if (len <= 1) {
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inCoord = 0;
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}
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else {
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const sz = len - 1;
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inCoord -= len * Math.trunc(inCoord / sz);
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}
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}
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// clamp is necessary because when outCoord = -0.5 and len = 4,
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// inCoord = 3.5 and will be rounded to 4 in nearest interpolation.
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return util.clamp(0, inCoord, len - 1);
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}
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function mapCoordConstant(outCoord, len) {
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return outCoord;
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}
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function mapCoordNearest(outCoord, len) {
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return util.clamp(0, outCoord, len - 1);
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}
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function readWithFillValue(imageVals, imageHeight, imageWidth, batchStride, rowStride, colStride, batch, y, x, channel, fillValue) {
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const ind = batch * batchStride + y * rowStride + x * colStride + channel;
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if (0 <= y && y < imageHeight && 0 <= x && x < imageWidth) {
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return imageVals[ind];
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}
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else {
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return fillValue;
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}
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}
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function nearestInterpolation(imageVals, imageHeight, imageWidth, batchStride, rowStride, colStride, batch, y, x, channel, fillValue) {
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const $y = Math.round(y);
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const $x = Math.round(x);
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return readWithFillValue(imageVals, imageHeight, imageWidth, batchStride, rowStride, colStride, batch, $y, $x, channel, fillValue);
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}
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function bilinearInterpolation(imageVals, imageHeight, imageWidth, batchStride, rowStride, colStride, batch, y, x, channel, fillValue) {
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const yFloor = Math.floor(y);
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const xFloor = Math.floor(x);
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const yCeil = yFloor + 1;
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const xCeil = xFloor + 1;
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// f(x, yFloor) = (xCeil - x) / (xCeil - xFloor) * f(xFloor, yFloor)
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// + (x - xFloor) / (xCeil - xFloor) * f(xCeil, yFloor)
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const valueYFloor = (xCeil - x) *
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readWithFillValue(imageVals, imageHeight, imageWidth, batchStride, rowStride, colStride, batch, yFloor, xFloor, channel, fillValue) +
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(x - xFloor) *
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readWithFillValue(imageVals, imageHeight, imageWidth, batchStride, rowStride, colStride, batch, yFloor, xCeil, channel, fillValue);
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// f(x, yCeil) = (xCeil - x) / (xCeil - xFloor) * f(xFloor, yCeil)
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// + (x - xFloor) / (xCeil - xFloor) * f(xCeil, yCeil)
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const valueYCeil = (xCeil - x) *
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readWithFillValue(imageVals, imageHeight, imageWidth, batchStride, rowStride, colStride, batch, yCeil, xFloor, channel, fillValue) +
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(x - xFloor) *
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readWithFillValue(imageVals, imageHeight, imageWidth, batchStride, rowStride, colStride, batch, yCeil, xCeil, channel, fillValue);
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// f(x, y) = (yCeil - y) / (yCeil - yFloor) * f(x, yFloor)
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// + (y - yFloor) / (yCeil - yFloor) * f(x, yCeil)
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return (yCeil - y) * valueYFloor + (y - yFloor) * valueYCeil;
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}
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* @license\n * Copyright 2021 Google LLC. All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {KernelConfig, KernelFunc, NumericDataType, TensorInfo, Transform, TransformAttrs, TransformInputs, TypedArray, util} from '@tensorflow/tfjs-core';\n\nimport {MathBackendCPU} from '../backend_cpu';\n\nexport function transform(args: {\n  inputs: TransformInputs,\n  attrs: TransformAttrs,\n  backend: MathBackendCPU\n}): TensorInfo {\n  const {inputs, attrs, backend} = args;\n  const {image, transforms} = inputs;\n  const {interpolation, fillMode, fillValue, outputShape} = attrs;\n\n  const [batch, imageHeight, imageWidth, numChannels] = image.shape;\n  const [outHeight, outWidth] =\n      outputShape != null ? outputShape : [imageHeight, imageWidth];\n  const outShape = [batch, outHeight, outWidth, numChannels];\n\n  const inStrides = util.computeStrides(image.shape);\n  const batchInStride = inStrides[0];\n  const rowInStride = inStrides[1];\n  const colInStride = inStrides[2];\n\n  const outStrides = util.computeStrides(outShape);\n  const batchOutStride = outStrides[0];\n  const rowOutStride = outStrides[1];\n  const colOutStride = outStrides[2];\n\n  const outVals = util.getTypedArrayFromDType(\n      image.dtype as NumericDataType, util.sizeFromShape(outShape));\n\n  outVals.fill(fillValue);\n\n  const imageVals = backend.data.get(image.dataId).values as TypedArray;\n  const transformVals =\n      backend.data.get(transforms.dataId).values as TypedArray;\n\n  // Ref TF implementation:\n  // https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/image/image_ops.h\n  for (let b = 0; b < batch; ++b) {\n    const transform = transforms.shape[0] === 1 ?\n        transformVals :\n        transformVals.subarray(b * 8, b * 8 + 8);\n\n    for (let outY = 0; outY < outHeight; ++outY) {\n      for (let outX = 0; outX < outWidth; ++outX) {\n        for (let channel = 0; channel < numChannels; ++channel) {\n          let val;\n\n          const projection = transform[6] * outX + transform[7] * outY + 1;\n\n          if (projection === 0) {\n            // Return the fill value for infinite coordinates,\n            // which are outside the input image\n            continue;\n          }\n\n          const inX =\n              (transform[0] * outX + transform[1] * outY + transform[2]) /\n              projection;\n          const inY =\n              (transform[3] * outX + transform[4] * outY + transform[5]) /\n              projection;\n\n          const x = mapCoord(inX, imageWidth, fillMode);\n          const y = mapCoord(inY, imageHeight, fillMode);\n\n          switch (interpolation) {\n            case 'nearest':\n              val = nearestInterpolation(\n                  imageVals, imageHeight, imageWidth, batchInStride,\n                  rowInStride, colInStride, b, y, x, channel, fillValue);\n              break;\n            case 'bilinear':\n              val = bilinearInterpolation(\n                  imageVals, imageHeight, imageWidth, batchInStride,\n                  rowInStride, colInStride, b, y, x, channel, fillValue);\n              break;\n            default:\n              throw new Error(\n                  `Error in Transform: Expect 'nearest' or ` +\n                  `'bilinear', but got ${interpolation}`);\n          }\n\n          const ind =\n              b * batchOutStride + outY * rowOutStride +\n              outX * colOutStride + channel;\n\n          outVals[ind] = val;\n        }\n      }\n    }\n\n    return backend.makeTensorInfo(outShape, image.dtype, outVals);\n  }\n\n  const dataId = backend.write(outVals, outShape, image.dtype);\n  return {dataId, shape: image.shape, dtype: image.dtype};\n}\n\nexport const transformConfig: KernelConfig = {\n  kernelName: Transform,\n  backendName: 'cpu',\n  kernelFunc: transform as unknown as KernelFunc\n};\n\nfunction mapCoord(\n    outCoord: number, len: number,\n    mode: 'constant'|'reflect'|'wrap'|'nearest') {\n  switch (mode) {\n    case 'reflect':\n      return mapCoordReflect(outCoord, len);\n    case 'wrap':\n      return mapCoordWrap(outCoord, len);\n    case 'nearest':\n      return mapCoordNearest(outCoord, len);\n    case 'constant':\n    default:\n      return mapCoordConstant(outCoord, len);\n  }\n}\n\nfunction mapCoordReflect(outCoord: number, len: number): number {\n  // Reflect [abcd] to [dcba|abcd|dcba].\n  let inCoord = outCoord;\n  if (inCoord < 0) {\n    if (len <= 1) {\n      inCoord = 0;\n    } else {\n      const sz2 = 2 * len;\n      if (inCoord < sz2) {\n        inCoord = sz2 * Math.trunc(-inCoord / sz2) + inCoord;\n      }\n      inCoord = inCoord < -len ? inCoord + sz2 : -inCoord - 1;\n    }\n  } else if (inCoord > len - 1) {\n    if (len <= 1) {\n      inCoord = 0;\n    } else {\n      const sz2 = 2 * len;\n      inCoord -= sz2 * Math.trunc(inCoord / sz2);\n      if (inCoord >= len) {\n        inCoord = sz2 - inCoord - 1;\n      }\n    }\n  }\n  // clamp is necessary because when outCoord = 3.5 and len = 4,\n  // inCoord = 3.5 and will be rounded to 4 in nearest interpolation.\n  return util.clamp(0, inCoord, len - 1);\n}\n\nfunction mapCoordWrap(outCoord: number, len: number): number {\n  // Wrap [abcd] to [abcd|abcd|abcd].\n  let inCoord = outCoord;\n  if (inCoord < 0) {\n    if (len <= 1) {\n      inCoord = 0;\n    } else {\n      const sz = len - 1;\n      inCoord += len * (Math.trunc(-inCoord / sz) + 1);\n    }\n  } else if (inCoord > len - 1) {\n    if (len <= 1) {\n      inCoord = 0;\n    } else {\n      const sz = len - 1;\n      inCoord -= len * Math.trunc(inCoord / sz);\n    }\n  }\n  // clamp is necessary because when outCoord = -0.5 and len = 4,\n  // inCoord = 3.5 and will be rounded to 4 in nearest interpolation.\n  return util.clamp(0, inCoord, len - 1);\n}\n\nfunction mapCoordConstant(outCoord: number, len: number): number {\n  return outCoord;\n}\n\nfunction mapCoordNearest(outCoord: number, len: number): number {\n  return util.clamp(0, outCoord, len - 1);\n}\n\nfunction readWithFillValue(\n    imageVals: TypedArray, imageHeight: number, imageWidth: number,\n    batchStride: number, rowStride: number, colStride: number, batch: number,\n    y: number, x: number, channel: number, fillValue: number): number {\n  const ind = batch * batchStride + y * rowStride + x * colStride + channel;\n  if (0 <= y && y < imageHeight && 0 <= x && x < imageWidth) {\n    return imageVals[ind];\n  } else {\n    return fillValue;\n  }\n}\n\nfunction nearestInterpolation(\n    imageVals: TypedArray, imageHeight: number, imageWidth: number,\n    batchStride: number, rowStride: number, colStride: number, batch: number,\n    y: number, x: number, channel: number, fillValue: number): number {\n  const $y = Math.round(y);\n  const $x = Math.round(x);\n\n  return readWithFillValue(\n      imageVals, imageHeight, imageWidth, batchStride, rowStride, colStride,\n      batch, $y, $x, channel, fillValue);\n}\n\nfunction bilinearInterpolation(\n    imageVals: TypedArray, imageHeight: number, imageWidth: number,\n    batchStride: number, rowStride: number, colStride: number, batch: number,\n    y: number, x: number, channel: number, fillValue: number) {\n  const yFloor = Math.floor(y);\n  const xFloor = Math.floor(x);\n  const yCeil = yFloor + 1;\n  const xCeil = xFloor + 1;\n  // f(x, yFloor) = (xCeil - x) / (xCeil - xFloor) * f(xFloor, yFloor)\n  //               + (x - xFloor) / (xCeil - xFloor) * f(xCeil, yFloor)\n  const valueYFloor =\n      (xCeil - x) *\n          readWithFillValue(\n              imageVals, imageHeight, imageWidth, batchStride, rowStride,\n              colStride, batch, yFloor, xFloor, channel, fillValue) +\n      (x - xFloor) *\n          readWithFillValue(\n              imageVals, imageHeight, imageWidth, batchStride, rowStride,\n              colStride, batch, yFloor, xCeil, channel, fillValue);\n  // f(x, yCeil) = (xCeil - x) / (xCeil - xFloor) * f(xFloor, yCeil)\n  //             + (x - xFloor) / (xCeil - xFloor) * f(xCeil, yCeil)\n  const valueYCeil =\n      (xCeil - x) *\n          readWithFillValue(\n              imageVals, imageHeight, imageWidth, batchStride, rowStride,\n              colStride, batch, yCeil, xFloor, channel, fillValue) +\n      (x - xFloor) *\n          readWithFillValue(\n              imageVals, imageHeight, imageWidth, batchStride, rowStride,\n              colStride, batch, yCeil, xCeil, channel, fillValue);\n  // f(x, y) = (yCeil - y) / (yCeil - yFloor) * f(x, yFloor)\n  //         + (y - yFloor) / (yCeil - yFloor) * f(x, yCeil)\n  return (yCeil - y) * valueYFloor + (y - yFloor) * valueYCeil;\n}\n"]}
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