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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 */\n\nimport * as tf from '../index';\nimport {ALL_ENVS, describeWithFlags} from '../jasmine_util';\nimport {expectArrayInMeanStdRange, jarqueBeraNormalityTest} from './rand_util';\n\ndescribeWithFlags('randomNormal', ALL_ENVS, () => {\n const SEED = 2002;\n const EPSILON = 0.05;\n\n it('should return a float32 1D of random normal values', async () => {\n const SAMPLES = 10000;\n\n // Ensure defaults to float32.\n let result = tf.randomNormal([SAMPLES], 0, 0.5, null, SEED);\n expect(result.dtype).toBe('float32');\n expect(result.shape).toEqual([SAMPLES]);\n jarqueBeraNormalityTest(await result.data());\n expectArrayInMeanStdRange(await result.data(), 0, 0.5, EPSILON);\n\n result = tf.randomNormal([SAMPLES], 0, 1.5, 'float32', SEED);\n expect(result.dtype).toBe('float32');\n expect(result.shape).toEqual([SAMPLES]);\n jarqueBeraNormalityTest(await result.data());\n expectArrayInMeanStdRange(await result.data(), 0, 1.5, EPSILON);\n });\n\n it('should return a int32 1D of random normal values', async () => {\n const SAMPLES = 10000;\n const result = tf.randomNormal([SAMPLES], 0, 2, 'int32', SEED);\n expect(result.dtype).toBe('int32');\n expect(result.shape).toEqual([SAMPLES]);\n jarqueBeraNormalityTest(await result.data());\n expectArrayInMeanStdRange(await result.data(), 0, 2, EPSILON);\n });\n\n it('should return a float32 2D of random normal values', async () => {\n const SAMPLES = 100;\n\n // Ensure defaults to float32.\n let result = tf.randomNormal([SAMPLES, SAMPLES], 0, 2.5, null, SEED);\n expect(result.dtype).toBe('float32');\n expect(result.shape).toEqual([SAMPLES, SAMPLES]);\n jarqueBeraNormalityTest(await result.data());\n expectArrayInMeanStdRange(await result.data(), 0, 2.5, EPSILON);\n\n result = tf.randomNormal([SAMPLES, SAMPLES], 0, 3.5, 'float32', SEED);\n expect(result.dtype).toBe('float32');\n expect(result.shape).toEqual([SAMPLES, SAMPLES]);\n jarqueBeraNormalityTest(await result.data());\n expectArrayInMeanStdRange(await result.data(), 0, 3.5, EPSILON);\n });\n\n it('should return a int32 2D of random normal values', async () => {\n const SAMPLES = 100;\n const result = tf.randomNormal([SAMPLES, SAMPLES], 0, 2, 'int32', SEED);\n expect(result.dtype).toBe('int32');\n expect(result.shape).toEqual([SAMPLES, SAMPLES]);\n jarqueBeraNormalityTest(await result.data());\n expectArrayInMeanStdRange(await result.data(), 0, 2, EPSILON);\n });\n\n it('should return a float32 3D of random normal values', async () => {\n const SAMPLES_SHAPE = [20, 20, 20];\n\n // Ensure defaults to float32.\n let result = tf.randomNormal(SAMPLES_SHAPE, 0, 0.5, null, SEED);\n expect(result.dtype).toBe('float32');\n expect(result.shape).toEqual(SAMPLES_SHAPE);\n jarqueBeraNormalityTest(await result.data());\n expectArrayInMeanStdRange(await result.data(), 0, 0.5, EPSILON);\n\n result = tf.randomNormal(SAMPLES_SHAPE, 0, 1.5, 'float32', SEED);\n expect(result.dtype).toBe('float32');\n expect(result.shape).toEqual(SAMPLES_SHAPE);\n jarqueBeraNormalityTest(await result.data());\n expectArrayInMeanStdRange(await result.data(), 0, 1.5, EPSILON);\n });\n\n it('should return a int32 3D of random normal values', async () => {\n const SAMPLES_SHAPE = [20, 20, 20];\n const result = tf.randomNormal(SAMPLES_SHAPE, 0, 2, 'int32', SEED);\n expect(result.dtype).toBe('int32');\n expect(result.shape).toEqual(SAMPLES_SHAPE);\n jarqueBeraNormalityTest(await result.data());\n expectArrayInMeanStdRange(await result.data(), 0, 2, EPSILON);\n });\n\n it('should return a float32 4D of random normal values', async () => {\n const SAMPLES_SHAPE = [10, 10, 10, 10];\n\n // Ensure defaults to float32.\n let result = tf.randomNormal(SAMPLES_SHAPE, 0, 0.5, null, SEED);\n expect(result.dtype).toBe('float32');\n expect(result.shape).toEqual(SAMPLES_SHAPE);\n jarqueBeraNormalityTest(await result.data());\n expectArrayInMeanStdRange(await result.data(), 0, 0.5, EPSILON);\n\n result = tf.randomNormal(SAMPLES_SHAPE, 0, 1.5, 'float32', SEED);\n expect(result.dtype).toBe('float32');\n expect(result.shape).toEqual(SAMPLES_SHAPE);\n jarqueBeraNormalityTest(await result.data());\n expectArrayInMeanStdRange(await result.data(), 0, 1.5, EPSILON);\n });\n\n it('should return a int32 4D of random normal values', async () => {\n const SAMPLES_SHAPE = [10, 10, 10, 10];\n\n const result = tf.randomNormal(SAMPLES_SHAPE, 0, 2, 'int32', SEED);\n expect(result.dtype).toBe('int32');\n expect(result.shape).toEqual(SAMPLES_SHAPE);\n jarqueBeraNormalityTest(await result.data());\n expectArrayInMeanStdRange(await result.data(), 0, 2, EPSILON);\n });\n\n it('should return a int32 5D of random normal values', async () => {\n const SAMPLES_SHAPE = [10, 10, 10, 10, 10];\n\n const result = tf.randomNormal(SAMPLES_SHAPE, 0, 2, 'int32', SEED);\n expect(result.dtype).toBe('int32');\n expect(result.shape).toEqual(SAMPLES_SHAPE);\n jarqueBeraNormalityTest(await result.data());\n expectArrayInMeanStdRange(await result.data(), 0, 2, EPSILON);\n });\n});\n"]} |