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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 * as tf from '../index';
| import { ALL_ENVS, BROWSER_ENVS, describeWithFlags } from '../jasmine_util';
| import { expectArraysClose } from '../test_util';
| describeWithFlags('depthToSpace', ALL_ENVS, () => {
| it('tensor4d, input shape=[1, 1, 1, 4], blockSize=2, format=NHWC', async () => {
| const t = tf.tensor4d([[[[1, 2, 3, 4]]]]);
| const blockSize = 2;
| const dataFormat = 'NHWC';
| const res = tf.depthToSpace(t, blockSize, dataFormat);
| expect(res.shape).toEqual([1, 2, 2, 1]);
| expectArraysClose(await res.data(), [1, 2, 3, 4]);
| });
| it('tensor4d, input shape=[1, 1, 1, 12], blockSize=2, format=NHWC', async () => {
| const t = tf.tensor4d([[[[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]]]]);
| const blockSize = 2;
| const dataFormat = 'NHWC';
| const res = tf.depthToSpace(t, blockSize, dataFormat);
| expect(res.shape).toEqual([1, 2, 2, 3]);
| expectArraysClose(await res.data(), [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]);
| });
| it('tensor4d, input shape=[1, 2, 2, 4], blockSize=2, format=NHWC', async () => {
| const t = tf.tensor4d([
| [[[1, 2, 3, 4], [5, 6, 7, 8]], [[9, 10, 11, 12], [13, 14, 15, 16]]]
| ]);
| const blockSize = 2;
| const dataFormat = 'NHWC';
| const res = tf.depthToSpace(t, blockSize, dataFormat);
| expect(res.shape).toEqual([1, 4, 4, 1]);
| expectArraysClose(await res.data(), [1, 2, 5, 6, 3, 4, 7, 8, 9, 10, 13, 14, 11, 12, 15, 16]);
| });
| it('throws when depth not divisible by blockSize * blockSize', () => {
| const t = tf.tensor4d([1, 2, 3, 4], [1, 1, 1, 4]);
| const blockSize = 3;
| expect(() => tf.depthToSpace(t, blockSize))
| .toThrowError(`Dimension size must be evenly divisible by ${blockSize * blockSize} but is ${t.shape[3]} for depthToSpace with input shape ${t.shape}`);
| });
| it('throws for int32 input', async () => {
| const t = tf.tensor4d([[[[1, 2, 3, 4]]]], [1, 1, 1, 4], 'int32');
| const blockSize = 2;
| const dataFormat = 'NHWC';
| expect(() => tf.depthToSpace(t, blockSize, dataFormat))
| .toThrowError(/Argument 'x' passed to 'depthToSpace' must be float32/);
| });
| });
| describeWithFlags('depthToSpace', BROWSER_ENVS, () => {
| it('throws when blocksize < 2', () => {
| const t = tf.tensor4d([1, 2, 3, 4], [1, 1, 1, 4]);
| const blockSize = 1;
| expect(() => tf.depthToSpace(t, blockSize))
| .toThrowError(`blockSize should be > 1 for depthToSpace, but was: ${blockSize}`);
| });
| });
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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 * as tf from '../index';\nimport {ALL_ENVS, BROWSER_ENVS, describeWithFlags} from '../jasmine_util';\nimport {expectArraysClose} from '../test_util';\n\ndescribeWithFlags('depthToSpace', ALL_ENVS, () => {\n  it('tensor4d, input shape=[1, 1, 1, 4], blockSize=2, format=NHWC',\n     async () => {\n       const t = tf.tensor4d([[[[1, 2, 3, 4]]]]);\n       const blockSize = 2;\n       const dataFormat = 'NHWC';\n\n       const res = tf.depthToSpace(t, blockSize, dataFormat);\n       expect(res.shape).toEqual([1, 2, 2, 1]);\n       expectArraysClose(await res.data(), [1, 2, 3, 4]);\n     });\n\n  it('tensor4d, input shape=[1, 1, 1, 12], blockSize=2, format=NHWC',\n     async () => {\n       const t = tf.tensor4d([[[[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]]]]);\n       const blockSize = 2;\n       const dataFormat = 'NHWC';\n\n       const res = tf.depthToSpace(t, blockSize, dataFormat);\n       expect(res.shape).toEqual([1, 2, 2, 3]);\n       expectArraysClose(\n           await res.data(), [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]);\n     });\n\n  it('tensor4d, input shape=[1, 2, 2, 4], blockSize=2, format=NHWC',\n     async () => {\n       const t = tf.tensor4d([\n         [[[1, 2, 3, 4], [5, 6, 7, 8]], [[9, 10, 11, 12], [13, 14, 15, 16]]]\n       ]);\n       const blockSize = 2;\n       const dataFormat = 'NHWC';\n\n       const res = tf.depthToSpace(t, blockSize, dataFormat);\n       expect(res.shape).toEqual([1, 4, 4, 1]);\n       expectArraysClose(\n           await res.data(),\n           [1, 2, 5, 6, 3, 4, 7, 8, 9, 10, 13, 14, 11, 12, 15, 16]);\n     });\n\n  it('throws when depth not divisible by blockSize * blockSize', () => {\n    const t = tf.tensor4d([1, 2, 3, 4], [1, 1, 1, 4]);\n    const blockSize = 3;\n\n    expect(() => tf.depthToSpace(t, blockSize))\n        .toThrowError(`Dimension size must be evenly divisible by ${\n            blockSize * blockSize} but is ${\n            t.shape[3]} for depthToSpace with input shape ${t.shape}`);\n  });\n\n  it('throws for int32 input', async () => {\n    const t = tf.tensor4d([[[[1, 2, 3, 4]]]], [1, 1, 1, 4], 'int32');\n    const blockSize = 2;\n    const dataFormat = 'NHWC';\n\n    expect(() => tf.depthToSpace(t, blockSize, dataFormat))\n        .toThrowError(/Argument 'x' passed to 'depthToSpace' must be float32/);\n  });\n});\n\ndescribeWithFlags('depthToSpace', BROWSER_ENVS, () => {\n  it('throws when blocksize < 2', () => {\n    const t = tf.tensor4d([1, 2, 3, 4], [1, 1, 1, 4]);\n    const blockSize = 1;\n\n    expect(() => tf.depthToSpace(t, blockSize))\n        .toThrowError(\n            `blockSize should be > 1 for depthToSpace, but was: ${blockSize}`);\n  });\n});\n"]}
|
|
