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* @license\n * Copyright 2020 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('eye', ALL_ENVS, () => {\n it('1x1', async () => {\n const r = tf.eye(1);\n expectArraysClose(await r.data(), [1]);\n expect(r.shape).toEqual([1, 1]);\n expect(r.dtype).toBe('float32');\n });\n\n it('2x2', async () => {\n const r = tf.eye(2);\n expect(r.shape).toEqual([2, 2]);\n expect(r.dtype).toBe('float32');\n expectArraysClose(await r.data(), [1, 0, 0, 1]);\n });\n\n it('3x3', async () => {\n const r = tf.eye(3);\n expect(r.shape).toEqual([3, 3]);\n expect(r.dtype).toBe('float32');\n expectArraysClose(await r.data(), [1, 0, 0, 0, 1, 0, 0, 0, 1]);\n });\n\n it('3x4', async () => {\n const r = tf.eye(3, 4);\n expect(r.shape).toEqual([3, 4]);\n expect(r.dtype).toBe('float32');\n expectArraysClose(await r.data(), [1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0]);\n });\n\n it('4x3', async () => {\n const r = tf.eye(4, 3);\n expect(r.shape).toEqual([4, 3]);\n expectArraysClose(await r.data(), [1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0]);\n });\n\n it('with 1D batchShape', async () => {\n const r = tf.eye(2, 2, [3]);\n expect(r.shape).toEqual([3, 2, 2]);\n expectArraysClose(await r.data(), [1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1]);\n });\n\n it('with 2D batchShape', async () => {\n const r = tf.eye(2, 2, [2, 3]);\n expect(r.shape).toEqual([2, 3, 2, 2]);\n expectArraysClose(await r.data(), [\n 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1\n ]);\n });\n\n it('with 3D batchShape', async () => {\n const r = tf.eye(2, 2, [2, 2, 3]);\n expect(r.shape).toEqual([2, 2, 3, 2, 2]);\n expectArraysClose(await r.data(), [\n 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1,\n 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 1\n ]);\n });\n\n it('3x3, int32', async () => {\n const r = tf.eye(3, 3, null, 'int32');\n expect(r.dtype).toBe('int32');\n expect(r.shape).toEqual([3, 3]);\n expectArraysClose(await r.data(), [1, 0, 0, 0, 1, 0, 0, 0, 1]);\n });\n\n it('3x3, bool', async () => {\n const r = tf.eye(3, 3, null, 'bool');\n expect(r.dtype).toBe('bool');\n expect(r.shape).toEqual([3, 3]);\n expectArraysClose(await r.data(), [1, 0, 0, 0, 1, 0, 0, 0, 1]);\n });\n});\n"]} |