| 1 | 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CAAC,IAAI,EAAE,EAAE,CAAC,CAAC,EAAE,CAAC,EAAE,CAAC,CAAC,CAAC,CAAC;IACrD,CAAC,CAAC,CAAC;AACL,CAAC,CAAC,CAAC","sourcesContent":["/**\n * @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 */\n\nimport * as tf from '../index';\nimport {ALL_ENVS, describeWithFlags} from '../jasmine_util';\nimport {expectArraysEqual} from '../test_util';\n\nimport {tensor1d} from './tensor1d';\n\ndescribeWithFlags('unique', ALL_ENVS, () => {\n it('1d tensor with int32', async () => {\n const x = tensor1d([1, 1, 2, 4, 4, 4, 7, 8, 8]);\n const {values, indices} = tf.unique(x);\n\n expect(indices.dtype).toBe('int32');\n expect(indices.shape).toEqual(x.shape);\n expect(values.shape).toEqual([5]);\n expectArraysEqual(await values.data(), [1, 2, 4, 7, 8]);\n expectArraysEqual(await indices.data(), [0, 0, 1, 2, 2, 2, 3, 4, 4]);\n });\n\n it('1d tensor with string', async () => {\n const x = tensor1d(['a', 'b', 'b', 'c', 'c']);\n const {values, indices} = tf.unique(x);\n\n expect(indices.dtype).toBe('int32');\n expect(indices.shape).toEqual(x.shape);\n expect(values.dtype).toEqual('string');\n expect(values.shape).toEqual([3]);\n expectArraysEqual(await values.data(), ['a', 'b', 'c']);\n expectArraysEqual(await indices.data(), [0, 1, 1, 2, 2]);\n });\n\n it('1d tensor with bool', async () => {\n const x = tensor1d([true, true, false]);\n const {values, indices} = tf.unique(x);\n\n expect(indices.dtype).toBe('int32');\n expect(indices.shape).toEqual(x.shape);\n expect(values.dtype).toEqual('bool');\n expect(values.shape).toEqual([2]);\n expectArraysEqual(await values.data(), [true, false]);\n expectArraysEqual(await indices.data(), [0, 0, 1]);\n });\n\n it('1d tensor with NaN and Infinity', async () => {\n const x = tensor1d([NaN, Infinity, NaN, Infinity]);\n const {values, indices} = tf.unique(x);\n\n expect(indices.dtype).toBe('int32');\n expect(indices.shape).toEqual(x.shape);\n expect(values.shape).toEqual([2]);\n expectArraysEqual(await values.data(), [NaN, Infinity]);\n expectArraysEqual(await indices.data(), [0, 1, 0, 1]);\n });\n\n it('2d tensor with axis=0', async () => {\n const x = tf.tensor2d([[1, 0, 0], [1, 0, 0], [2, 0, 0]]);\n const {values, indices} = tf.unique(x, 0);\n\n expect(indices.dtype).toBe('int32');\n expect(indices.shape).toEqual([x.shape[0]]);\n expect(values.shape).toEqual([2, 3]);\n expectArraysEqual(await values.data(), [1, 0, 0, 2, 0, 0]);\n expectArraysEqual(await indices.data(), [0, 0, 1]);\n });\n\n it('2d tensor with axis=1', async () => {\n const x = tf.tensor2d([[1, 0, 0, 1], [1, 0, 0, 1], [2, 0, 0, 2]]);\n const {values, indices} = tf.unique(x, 1);\n\n expect(indices.dtype).toBe('int32');\n expect(indices.shape).toEqual([x.shape[1]]);\n expect(values.shape).toEqual([3, 2]);\n expectArraysEqual(await values.data(), [[1, 0], [1, 0], [2, 0]]);\n expectArraysEqual(await indices.data(), [0, 1, 1, 0]);\n });\n\n it('2d tensor with string', async () => {\n const x = tf.tensor2d([['a', 'b', 'b'], ['a', 'b', 'b'], ['c', 'b', 'b']]);\n const {values, indices} = tf.unique(x, 0);\n\n expect(indices.dtype).toBe('int32');\n expect(indices.shape).toEqual([x.shape[0]]);\n expect(values.dtype).toEqual('string');\n expect(values.shape).toEqual([2, 3]);\n expectArraysEqual(await values.data(), ['a', 'b', 'b', 'c', 'b', 'b']);\n expectArraysEqual(await indices.data(), [0, 0, 1]);\n });\n\n it('2d tensor with strings that have comma', async () => {\n const x = tf.tensor2d([['a', 'b,c', 'd'], ['a', 'b', 'c,d']]);\n const {values, indices} = tf.unique(x, 0);\n\n expect(indices.dtype).toBe('int32');\n expect(indices.shape).toEqual([x.shape[0]]);\n expect(values.dtype).toEqual('string');\n expect(values.shape).toEqual([2, 3]);\n expectArraysEqual(await values.data(), ['a', 'b,c', 'd', 'a', 'b', 'c,d']);\n expectArraysEqual(await indices.data(), [0, 1]);\n });\n\n it('3d tensor with axis=0', async () => {\n const x =\n tf.tensor3d([[[1, 0], [1, 0]], [[1, 0], [1, 0]], [[1, 1], [1, 1]]]);\n const {values, indices} = tf.unique(x, 0);\n\n expect(indices.dtype).toBe('int32');\n expect(indices.shape).toEqual([x.shape[0]]);\n expect(values.shape).toEqual([2, 2, 2]);\n expectArraysEqual(await values.data(), [1, 0, 1, 0, 1, 1, 1, 1]);\n expectArraysEqual(await indices.data(), [0, 0, 1]);\n });\n\n it('3d tensor with axis=1', async () => {\n const x =\n tf.tensor3d([[[1, 0], [1, 0]], [[1, 0], [1, 0]], [[1, 1], [1, 1]]]);\n const {values, indices} = tf.unique(x, 1);\n\n expect(indices.dtype).toBe('int32');\n expect(indices.shape).toEqual([x.shape[1]]);\n expect(values.shape).toEqual([3, 1, 2]);\n expectArraysEqual(await values.data(), [[[1, 0]], [[1, 0]], [[1, 1]]]);\n expectArraysEqual(await indices.data(), [0, 0]);\n });\n\n it('3d tensor with axis=2', async () => {\n const x = tf.tensor3d([[[1, 0, 1]], [[1, 0, 1]]]);\n const {values, indices} = tf.unique(x, 2);\n\n expect(indices.dtype).toBe('int32');\n expect(indices.shape).toEqual([x.shape[2]]);\n expect(values.shape).toEqual([2, 1, 2]);\n expectArraysEqual(await values.data(), [1, 0, 1, 0]);\n expectArraysEqual(await indices.data(), [0, 1, 0]);\n });\n\n it('3d tensor with string', async () => {\n const x = tf.tensor3d([\n [['a', 'b'], ['a', 'b']], [['a', 'b'], ['a', 'b']],\n [['a', 'a'], ['a', 'a']]\n ]);\n const {values, indices} = tf.unique(x, 0);\n\n expect(indices.dtype).toBe('int32');\n expect(indices.shape).toEqual([x.shape[0]]);\n expect(values.dtype).toEqual('string');\n expect(values.shape).toEqual([2, 2, 2]);\n expectArraysEqual(\n await values.data(), ['a', 'b', 'a', 'b', 'a', 'a', 'a', 'a']);\n expectArraysEqual(await indices.data(), [0, 0, 1]);\n });\n});\n"]} |