/**
 * @license
 * Copyright 2021 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 * as tf from '../../index';
import { ALL_ENVS, describeWithFlags } from '../../jasmine_util';
import { expectArraysClose } from '../../test_util';
describeWithFlags('image.transform', ALL_ENVS, () => {
    it('extreme projective transform.', async () => {
        const images = tf.tensor4d([1, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 0, 1, 0, 1], [1, 4, 4, 1]);
        const transform = tf.tensor2d([1, 0, 0, 0, 1, 0, -1, 0], [1, 8]);
        const transformedImages = tf.image.transform(images, transform, 'nearest', 'constant', 0).toInt();
        const transformedImagesData = await transformedImages.data();
        const expected = [1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0];
        expectArraysClose(transformedImagesData, expected);
    });
    it('static output shape.', async () => {
        const images = tf.tensor4d([1, 2, 3, 4], [1, 2, 2, 1]);
        const transform = tf.randomUniform([1, 8], -1, 1);
        const transformedImages = tf.image.transform(images, transform, 'nearest', 'constant', 0, [3, 5]);
        expectArraysClose(transformedImages.shape, [1, 3, 5, 1]);
    });
    it('fill=constant, interpolation=nearest.', async () => {
        const images = tf.tensor4d([1, 1, 1, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 0], [1, 4, 4, 1]);
        const transform = tf.tensor2d([0, 0.5, 1, -1, 2, 3, 0, 0], [1, 8]);
        const transformedImages = tf.image.transform(images, transform);
        const transformedImagesData = await transformedImages.data();
        const expected = [1, 0, 1, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0];
        expectArraysClose(transformedImagesData, expected);
    });
    it('fill=constant, interpolation=bilinear.', async () => {
        const images = tf.tensor4d([1, 1, 1, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 0], [1, 4, 4, 1]);
        const transform = tf.tensor2d([0, 0.5, 1, -1, 2, 3, 0, 0], [1, 8]);
        const transformedImages = tf.image.transform(images, transform, 'bilinear');
        const transformedImagesData = await transformedImages.data();
        const expected = [1, 0, 1, 1, 0, 0, 0.5, 0.5, 0, 0, 0, 0, 0, 0, 0, 0];
        expectArraysClose(transformedImagesData, expected);
    });
    it('fill=reflect, interpolation=bilinear.', async () => {
        const images = tf.tensor4d([1, 1, 1, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 0], [1, 4, 4, 1]);
        const transform = tf.tensor2d([0, 0.5, 1, -1, 2, 3, 0, 0], [1, 8]);
        const transformedImages = tf.image.transform(images, transform, 'bilinear', 'reflect');
        const transformedImagesData = await transformedImages.data();
        const expected = [1, 0, 1, 1, 0.5, 0.5, 0.5, 0.5, 1, 0, 1, 0, 0, 0.5, 0.5, 0];
        expectArraysClose(transformedImagesData, expected);
    });
    it('fill=wrap, interpolation=bilinear.', async () => {
        const images = tf.tensor4d([1, 1, 1, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 0], [1, 4, 4, 1]);
        const transform = tf.tensor2d([0, 0.5, 1, -1, 2, 3, 0, 0], [1, 8]);
        const transformedImages = tf.image.transform(images, transform, 'bilinear', 'wrap');
        const transformedImagesData = await transformedImages.data();
        const expected = [1, 0, 1, 1, 0.5, 1, 0.5, 0.5, 1, 1, 0, 1, 0.5, 0.5, 0.5, 0.5];
        expectArraysClose(transformedImagesData, expected);
    });
    it('fill=nearest, interpolation=bilinear.', async () => {
        const images = tf.tensor4d([1, 1, 1, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 0], [1, 4, 4, 1]);
        const transform = tf.tensor2d([0, 0.5, 1, -1, 2, 3, 0, 0], [1, 8]);
        const transformedImages = tf.image.transform(images, transform, 'bilinear', 'nearest');
        const transformedImagesData = await transformedImages.data();
        const expected = [1, 0, 1, 1, 0.5, 0.5, 0.5, 0.5, 0, 0, 0, 0, 0, 0, 0, 0];
        expectArraysClose(transformedImagesData, expected);
    });
    it('throws when input is int32.', async () => {
        const images = tf.tensor4d([1, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 0, 1, 0, 1], [1, 4, 4, 1], 'int32');
        const transform = tf.tensor2d([1, 0, 0, 0, 1, 0, -1, 0], [1, 8]);
        expect(() => tf.image.transform(images, transform, 'nearest', 'constant', 0))
            .toThrowError(/Argument 'image' passed to 'transform' must be float32/);
    });
    it('throws when transforms is int32.', async () => {
        const images = tf.tensor4d([1, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 0, 1, 0, 1], [1, 4, 4, 1]);
        const transform = tf.tensor2d([1, 0, 0, 0, 1, 0, -1, 0], [1, 8], 'int32');
        expect(() => tf.image.transform(images, transform, 'nearest', 'constant', 0))
            .toThrowError(/Argument 'transforms' passed to 'transform' must be float32/);
    });
});
//# sourceMappingURL=data:application/json;base64,{"version":3,"file":"transform_test.js","sourceRoot":"","sources":["../../../../../../../tfjs-core/src/ops/image/transform_test.ts"],"names":[],"mappings":"AAAA;;;;;;;;;;;;;;;GAeG;AACH,OAAO,KAAK,EAAE,MAAM,aAAa,CAAC;AAClC,OAAO,EAAC,QAAQ,EAAE,iBAAiB,EAAC,MAAM,oBAAoB,CAAC;AAC/D,OAAO,EAAC,iBAAiB,EAAC,MAAM,iBAAiB,CAAC;AAElD,iBAAiB,CAAC,iBAAiB,EAAE,QAAQ,EAAE,GAAG,EAAE;IAClD,EAAE,CAAC,+BAA+B,EAAE,KAAK,IAAI,EAAE;QAC7C,MAAM,MAAM,GAAG,EAAE,CAAC,QAAQ,CACtB,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC;QACpE,MAAM,SAAS,GAAG,EAAE,CAAC,QAAQ,CAAC,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC;QACjE,MAAM,iBAAiB,GACnB,EAAE,CAAC,KAAK,CAAC,SAAS,CAAC,MAAM,EAAE,SAAS,EAAE,SAAS,EAAE,UAAU,EAAE,CAAC,CAAC,CAAC,KAAK,EAAE,CAAC;QAC5E,MAAM,qBAAqB,GAAG,MAAM,iBAAiB,CAAC,IAAI,EAAE,CAAC;QAE7D,MAAM,QAAQ,GAAG,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,CAAC;QAElE,iBAAiB,CAAC,qBAAqB,EAAE,QAAQ,CAAC,CAAC;IACrD,CAAC,CAAC,CAAC;IAEH,EAAE,CAAC,sBAAsB,EAAE,KAAK,IAAI,EAAE;QACpC,MAAM,MAAM,GAAG,EAAE,CAAC,QAAQ,CAAC,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC;QACvD,MAAM,SAAS,GAAG,EAAE,CAAC,aAAa,CAAC,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC;QAClD,MAAM,iBAAiB,GAAG,EAAE,CAAC,KAAK,CAAC,SAAS,CACxC,MAAM,EAAE,SAAwB,EAAE,SAAS,EAAE,UAAU,EAAE,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC;QAExE,iBAAiB,CAAC,iBAAiB,CAAC,KAAK,EAAE,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC;IAC3D,CAAC,CAAC,CAAC;IAEH,EAAE,CAAC,uCAAuC,EAAE,KAAK,IAAI,EAAE;QACrD,MAAM,MAAM,GAAG,EAAE,CAAC,QAAQ,CACtB,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC;QACpE,MAAM,SAAS,GAAG,EAAE,CAAC,QAAQ,CAAC,CAAC,CAAC,EAAE,GAAG,EAAE,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC;QACnE,MAAM,iBAAiB,GAAG,EAAE,CAAC,KAAK,CAAC,SAAS,CAAC,MAAM,EAAE,SAAS,CAAC,CAAC;QAChE,MAAM,qBAAqB,GAAG,MAAM,iBAAiB,CAAC,IAAI,EAAE,CAAC;QAC7D,MAAM,QAAQ,GAAG,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,CAAC;QAElE,iBAAiB,CAAC,qBAAqB,EAAE,QAAQ,CAAC,CAAC;IACrD,CAAC,CAAC,CAAC;IAEH,EAAE,CAAC,wCAAwC,EAAE,KAAK,IAAI,EAAE;QACtD,MAAM,MAAM,GAAG,EAAE,CAAC,QAAQ,CACtB,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC;QACpE,MAAM,SAAS,GAAG,EAAE,CAAC,QAAQ,CAAC,CAAC,CAAC,EAAE,GAAG,EAAE,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC;QACnE,MAAM,iBAAiB,GAAG,EAAE,CAAC,KAAK,CAAC,SAAS,CAAC,MAAM,EAAE,SAAS,EAAE,UAAU,CAAC,CAAC;QAC5E,MAAM,qBAAqB,GAAG,MAAM,iBAAiB,CAAC,IAAI,EAAE,CAAC;QAC7D,MAAM,QAAQ,GAAG,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,GAAG,EAAE,GAAG,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,CAAC;QAEtE,iBAAiB,CAAC,qBAAqB,EAAE,QAAQ,CAAC,CAAC;IACrD,CAAC,CAAC,CAAC;IAEH,EAAE,CAAC,uCAAuC,EAAE,KAAK,IAAI,EAAE;QACrD,MAAM,MAAM,GAAG,EAAE,CAAC,QAAQ,CACtB,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC;QACpE,MAAM,SAAS,GAAG,EAAE,CAAC,QAAQ,CAAC,CAAC,CAAC,EAAE,GAAG,EAAE,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC;QACnE,MAAM,iBAAiB,GACnB,EAAE,CAAC,KAAK,CAAC,SAAS,CAAC,MAAM,EAAE,SAAS,EAAE,UAAU,EAAE,SAAS,CAAC,CAAC;QACjE,MAAM,qBAAqB,GAAG,MAAM,iBAAiB,CAAC,IAAI,EAAE,CAAC;QAE7D,MAAM,QAAQ,GACV,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,GAAG,EAAE,GAAG,EAAE,GAAG,EAAE,GAAG,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,GAAG,EAAE,GAAG,EAAE,CAAC,CAAC,CAAC;QAEjE,iBAAiB,CAAC,qBAAqB,EAAE,QAAQ,CAAC,CAAC;IACrD,CAAC,CAAC,CAAC;IAEH,EAAE,CAAC,oCAAoC,EAAE,KAAK,IAAI,EAAE;QAClD,MAAM,MAAM,GAAG,EAAE,CAAC,QAAQ,CACtB,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC;QACpE,MAAM,SAAS,GAAG,EAAE,CAAC,QAAQ,CAAC,CAAC,CAAC,EAAE,GAAG,EAAE,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC;QACnE,MAAM,iBAAiB,GACnB,EAAE,CAAC,KAAK,CAAC,SAAS,CAAC,MAAM,EAAE,SAAS,EAAE,UAAU,EAAE,MAAM,CAAC,CAAC;QAC9D,MAAM,qBAAqB,GAAG,MAAM,iBAAiB,CAAC,IAAI,EAAE,CAAC;QAE7D,MAAM,QAAQ,GACV,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,GAAG,EAAE,CAAC,EAAE,GAAG,EAAE,GAAG,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,GAAG,EAAE,GAAG,EAAE,GAAG,EAAE,GAAG,CAAC,CAAC;QAEnE,iBAAiB,CAAC,qBAAqB,EAAE,QAAQ,CAAC,CAAC;IACrD,CAAC,CAAC,CAAC;IAEH,EAAE,CAAC,uCAAuC,EAAE,KAAK,IAAI,EAAE;QACrD,MAAM,MAAM,GAAG,EAAE,CAAC,QAAQ,CACtB,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC;QACpE,MAAM,SAAS,GAAG,EAAE,CAAC,QAAQ,CAAC,CAAC,CAAC,EAAE,GAAG,EAAE,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC;QACnE,MAAM,iBAAiB,GACnB,EAAE,CAAC,KAAK,CAAC,SAAS,CAAC,MAAM,EAAE,SAAS,EAAE,UAAU,EAAE,SAAS,CAAC,CAAC;QACjE,MAAM,qBAAqB,GAAG,MAAM,iBAAiB,CAAC,IAAI,EAAE,CAAC;QAE7D,MAAM,QAAQ,GAAG,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,GAAG,EAAE,GAAG,EAAE,GAAG,EAAE,GAAG,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,CAAC;QAE1E,iBAAiB,CAAC,qBAAqB,EAAE,QAAQ,CAAC,CAAC;IACrD,CAAC,CAAC,CAAC;IAEH,EAAE,CAAC,6BAA6B,EAAE,KAAK,IAAI,EAAE;QAC3C,MAAM,MAAM,GAAG,EAAE,CAAC,QAAQ,CACtB,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,EAC9D,OAAO,CAAC,CAAC;QACb,MAAM,SAAS,GAAG,EAAE,CAAC,QAAQ,CAAC,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC;QACjE,MAAM,CACF,GAAG,EAAE,CAAC,EAAE,CAAC,KAAK,CAAC,SAAS,CAAC,MAAM,EAAE,SAAS,EAAE,SAAS,EAAE,UAAU,EAAE,CAAC,CAAC,CAAC;aACrE,YAAY,CAAC,wDAAwD,CAAC,CAAC;IAC9E,CAAC,CAAC,CAAC;IAEH,EAAE,CAAC,kCAAkC,EAAE,KAAK,IAAI,EAAE;QAChD,MAAM,MAAM,GAAG,EAAE,CAAC,QAAQ,CACtB,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,EAChD,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,CACf,CAAC;QACF,MAAM,SAAS,GAAG,EAAE,CAAC,QAAQ,CAAC,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,CAAC,CAAC,EAAE,OAAO,CAAC,CAAC;QAC1E,MAAM,CACF,GAAG,EAAE,CAAC,EAAE,CAAC,KAAK,CAAC,SAAS,CAAC,MAAM,EAAE,SAAS,EAAE,SAAS,EAAE,UAAU,EAAE,CAAC,CAAC,CAAC;aACrE,YAAY,CACT,6DAA6D,CAAC,CAAC;IACzE,CAAC,CAAC,CAAC;AACL,CAAC,CAAC,CAAC","sourcesContent":["/**\n * @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 */\nimport * as tf from '../../index';\nimport {ALL_ENVS, describeWithFlags} from '../../jasmine_util';\nimport {expectArraysClose} from '../../test_util';\n\ndescribeWithFlags('image.transform', ALL_ENVS, () => {\n  it('extreme projective transform.', async () => {\n    const images = tf.tensor4d(\n        [1, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 0, 1, 0, 1], [1, 4, 4, 1]);\n    const transform = tf.tensor2d([1, 0, 0, 0, 1, 0, -1, 0], [1, 8]);\n    const transformedImages =\n        tf.image.transform(images, transform, 'nearest', 'constant', 0).toInt();\n    const transformedImagesData = await transformedImages.data();\n\n    const expected = [1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0];\n\n    expectArraysClose(transformedImagesData, expected);\n  });\n\n  it('static output shape.', async () => {\n    const images = tf.tensor4d([1, 2, 3, 4], [1, 2, 2, 1]);\n    const transform = tf.randomUniform([1, 8], -1, 1);\n    const transformedImages = tf.image.transform(\n        images, transform as tf.Tensor2D, 'nearest', 'constant', 0, [3, 5]);\n\n    expectArraysClose(transformedImages.shape, [1, 3, 5, 1]);\n  });\n\n  it('fill=constant, interpolation=nearest.', async () => {\n    const images = tf.tensor4d(\n        [1, 1, 1, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 0], [1, 4, 4, 1]);\n    const transform = tf.tensor2d([0, 0.5, 1, -1, 2, 3, 0, 0], [1, 8]);\n    const transformedImages = tf.image.transform(images, transform);\n    const transformedImagesData = await transformedImages.data();\n    const expected = [1, 0, 1, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0];\n\n    expectArraysClose(transformedImagesData, expected);\n  });\n\n  it('fill=constant, interpolation=bilinear.', async () => {\n    const images = tf.tensor4d(\n        [1, 1, 1, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 0], [1, 4, 4, 1]);\n    const transform = tf.tensor2d([0, 0.5, 1, -1, 2, 3, 0, 0], [1, 8]);\n    const transformedImages = tf.image.transform(images, transform, 'bilinear');\n    const transformedImagesData = await transformedImages.data();\n    const expected = [1, 0, 1, 1, 0, 0, 0.5, 0.5, 0, 0, 0, 0, 0, 0, 0, 0];\n\n    expectArraysClose(transformedImagesData, expected);\n  });\n\n  it('fill=reflect, interpolation=bilinear.', async () => {\n    const images = tf.tensor4d(\n        [1, 1, 1, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 0], [1, 4, 4, 1]);\n    const transform = tf.tensor2d([0, 0.5, 1, -1, 2, 3, 0, 0], [1, 8]);\n    const transformedImages =\n        tf.image.transform(images, transform, 'bilinear', 'reflect');\n    const transformedImagesData = await transformedImages.data();\n\n    const expected =\n        [1, 0, 1, 1, 0.5, 0.5, 0.5, 0.5, 1, 0, 1, 0, 0, 0.5, 0.5, 0];\n\n    expectArraysClose(transformedImagesData, expected);\n  });\n\n  it('fill=wrap, interpolation=bilinear.', async () => {\n    const images = tf.tensor4d(\n        [1, 1, 1, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 0], [1, 4, 4, 1]);\n    const transform = tf.tensor2d([0, 0.5, 1, -1, 2, 3, 0, 0], [1, 8]);\n    const transformedImages =\n        tf.image.transform(images, transform, 'bilinear', 'wrap');\n    const transformedImagesData = await transformedImages.data();\n\n    const expected =\n        [1, 0, 1, 1, 0.5, 1, 0.5, 0.5, 1, 1, 0, 1, 0.5, 0.5, 0.5, 0.5];\n\n    expectArraysClose(transformedImagesData, expected);\n  });\n\n  it('fill=nearest, interpolation=bilinear.', async () => {\n    const images = tf.tensor4d(\n        [1, 1, 1, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 1, 0, 0], [1, 4, 4, 1]);\n    const transform = tf.tensor2d([0, 0.5, 1, -1, 2, 3, 0, 0], [1, 8]);\n    const transformedImages =\n        tf.image.transform(images, transform, 'bilinear', 'nearest');\n    const transformedImagesData = await transformedImages.data();\n\n    const expected = [1, 0, 1, 1, 0.5, 0.5, 0.5, 0.5, 0, 0, 0, 0, 0, 0, 0, 0];\n\n    expectArraysClose(transformedImagesData, expected);\n  });\n\n  it('throws when input is int32.', async () => {\n    const images = tf.tensor4d(\n        [1, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 0, 1, 0, 1], [1, 4, 4, 1],\n        'int32');\n    const transform = tf.tensor2d([1, 0, 0, 0, 1, 0, -1, 0], [1, 8]);\n    expect(\n        () => tf.image.transform(images, transform, 'nearest', 'constant', 0))\n        .toThrowError(/Argument 'image' passed to 'transform' must be float32/);\n  });\n\n  it('throws when transforms is int32.', async () => {\n    const images = tf.tensor4d(\n        [1, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 0, 1, 0, 1],\n        [1, 4, 4, 1],\n    );\n    const transform = tf.tensor2d([1, 0, 0, 0, 1, 0, -1, 0], [1, 8], 'int32');\n    expect(\n        () => tf.image.transform(images, transform, 'nearest', 'constant', 0))\n        .toThrowError(\n            /Argument 'transforms' passed to 'transform' must be float32/);\n  });\n});\n"]}