@tensorflow/tfjs-core
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Hardware-accelerated JavaScript library for machine intelligence
138 lines • 23.1 kB
JavaScript
/**
* @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, describeWithFlags } from '../jasmine_util';
import { expectArraysClose } from '../test_util';
describeWithFlags('clipByValue', ALL_ENVS, () => {
it('basic', async () => {
const a = tf.tensor1d([3, -1, 0, 100, -7, 2]);
const min = -1;
const max = 50;
const result = tf.clipByValue(a, min, max);
expectArraysClose(await result.data(), [3, -1, 0, 50, -1, 2]);
});
it('basic vec4', async () => {
const a = tf.tensor1d([3, -1, 0, 100, -7, 2, 5, NaN]);
const min = -1;
const max = 50;
const result = tf.clipByValue(a, min, max);
expectArraysClose(await result.data(), [3, -1, 0, 50, -1, 2, 5, NaN]);
});
it('propagates NaNs', async () => {
const a = tf.tensor1d([3, -1, 0, 100, -7, 2, NaN]);
const min = -1;
const max = 50;
const result = tf.clipByValue(a, min, max);
expectArraysClose(await result.data(), [3, -1, 0, 50, -1, 2, NaN]);
});
it('min greater than max', () => {
const a = tf.tensor1d([3, -1, 0, 100, -7, 2]);
const min = 1;
const max = -1;
const f = () => {
tf.clipByValue(a, min, max);
};
expect(f).toThrowError();
});
it('gradient: 1D tensor', async () => {
const min = -1;
const max = 2;
const x = tf.tensor1d([3, -2, 1]); // Only 1 is not clipped.
const dy = tf.tensor1d([5, 50, 500]);
const gradients = tf.grad(x => x.clipByValue(min, max))(x, dy);
expect(gradients.shape).toEqual(x.shape);
expect(gradients.dtype).toEqual('float32');
expectArraysClose(await gradients.data(), [0, 0, 500]);
});
it('gradient: 1D tensor with max or min value', async () => {
const min = -1;
const max = 2;
const x = tf.tensor1d([-1, 1, 2, 3]);
const dy = tf.tensor1d([1, 10, 100, 1000]);
const gradients = tf.grad(x => x.clipByValue(min, max))(x, dy);
expect(gradients.shape).toEqual(x.shape);
expect(gradients.dtype).toEqual('float32');
expectArraysClose(await gradients.data(), [1, 10, 100, 0]);
});
it('gradient: scalar', async () => {
const min = -1;
const max = 2;
const x = tf.scalar(-10); // Clipped.
const dy = tf.scalar(5);
const gradients = tf.grad(x => x.clipByValue(min, max))(x, dy);
expect(gradients.shape).toEqual(x.shape);
expect(gradients.dtype).toEqual('float32');
expectArraysClose(await gradients.data(), [0]);
});
it('gradient with clones', async () => {
const min = -1;
const max = 2;
const x = tf.scalar(-10); // Clipped.
const dy = tf.scalar(5);
const gradients = tf.grad(x => x.clone().clipByValue(min, max).clone())(x, dy);
expect(gradients.shape).toEqual(x.shape);
expect(gradients.dtype).toEqual('float32');
expectArraysClose(await gradients.data(), [0]);
});
it('gradient with primitive as input', async () => {
const min = -1;
const max = 2;
const x = -10;
const dy = tf.scalar(5);
const gradients = tf.grad(x => x.clipByValue(min, max))(x, dy);
expect(gradients.shape).toEqual([]);
expect(gradients.dtype).toEqual('float32');
expectArraysClose(await gradients.data(), [0]);
});
it('throws when passed a non-tensor', () => {
expect(() => tf.clipByValue({}, 0, 1))
.toThrowError(/Argument 'x' passed to 'clipByValue' must be a Tensor/);
});
it('accepts a tensor-like object', async () => {
const min = -1;
const max = 50;
const result = tf.clipByValue([3, -1, 0, 100, -7, 2], min, max);
expectArraysClose(await result.data(), [3, -1, 0, 50, -1, 2]);
});
it('clip(x, eps, 1-eps) never returns 0 or 1', async () => {
const min = tf.backend().epsilon();
const max = 0.5;
const res = await tf.clipByValue([0, 1], min, max).data();
expect(res[0]).toBeGreaterThan(0);
expect(res[1]).toBeCloseTo(max);
});
it('clip min = max', async () => {
const min = 2;
const max = 2;
const tensor = tf.tensor([1, 2, 3, 4, 5], [5], 'float32');
const result = tf.clipByValue(tensor, min, max);
expectArraysClose(await result.data(), [2, 2, 2, 2, 2]);
});
it('throws for string tensor', () => {
expect(() => tf.clipByValue('q', 0, 1))
.toThrowError(/Argument 'x' passed to 'clipByValue' must be numeric/);
});
it('clip int32 tensor', async () => {
const min = -1;
const max = 50;
const tensor = tf.tensor([2, 3, 4], [3], 'int32');
const result = tf.clipByValue(tensor, min, max);
expectArraysClose(await result.data(), [2, 3, 4]);
expect(result.dtype).toEqual('int32');
});
});
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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 {expectArraysClose} from '../test_util';\n\ndescribeWithFlags('clipByValue', ALL_ENVS, () => {\n  it('basic', async () => {\n    const a = tf.tensor1d([3, -1, 0, 100, -7, 2]);\n    const min = -1;\n    const max = 50;\n\n    const result = tf.clipByValue(a, min, max);\n\n    expectArraysClose(await result.data(), [3, -1, 0, 50, -1, 2]);\n  });\n\n  it('basic vec4', async () => {\n    const a = tf.tensor1d([3, -1, 0, 100, -7, 2, 5, NaN]);\n    const min = -1;\n    const max = 50;\n\n    const result = tf.clipByValue(a, min, max);\n\n    expectArraysClose(await result.data(), [3, -1, 0, 50, -1, 2, 5, NaN]);\n  });\n\n  it('propagates NaNs', async () => {\n    const a = tf.tensor1d([3, -1, 0, 100, -7, 2, NaN]);\n    const min = -1;\n    const max = 50;\n\n    const result = tf.clipByValue(a, min, max);\n\n    expectArraysClose(await result.data(), [3, -1, 0, 50, -1, 2, NaN]);\n  });\n\n  it('min greater than max', () => {\n    const a = tf.tensor1d([3, -1, 0, 100, -7, 2]);\n    const min = 1;\n    const max = -1;\n\n    const f = () => {\n      tf.clipByValue(a, min, max);\n    };\n    expect(f).toThrowError();\n  });\n\n  it('gradient: 1D tensor', async () => {\n    const min = -1;\n    const max = 2;\n    const x = tf.tensor1d([3, -2, 1]);  // Only 1 is not clipped.\n    const dy = tf.tensor1d([5, 50, 500]);\n    const gradients = tf.grad(x => x.clipByValue(min, max))(x, dy);\n\n    expect(gradients.shape).toEqual(x.shape);\n    expect(gradients.dtype).toEqual('float32');\n    expectArraysClose(await gradients.data(), [0, 0, 500]);\n  });\n\n  it('gradient: 1D tensor with max or min value', async () => {\n    const min = -1;\n    const max = 2;\n    const x = tf.tensor1d([-1, 1, 2, 3]);\n    const dy = tf.tensor1d([1, 10, 100, 1000]);\n    const gradients = tf.grad(x => x.clipByValue(min, max))(x, dy);\n\n    expect(gradients.shape).toEqual(x.shape);\n    expect(gradients.dtype).toEqual('float32');\n    expectArraysClose(await gradients.data(), [1, 10, 100, 0]);\n  });\n\n  it('gradient: scalar', async () => {\n    const min = -1;\n    const max = 2;\n    const x = tf.scalar(-10);  // Clipped.\n    const dy = tf.scalar(5);\n    const gradients = tf.grad(x => x.clipByValue(min, max))(x, dy);\n\n    expect(gradients.shape).toEqual(x.shape);\n    expect(gradients.dtype).toEqual('float32');\n    expectArraysClose(await gradients.data(), [0]);\n  });\n\n  it('gradient with clones', async () => {\n    const min = -1;\n    const max = 2;\n    const x = tf.scalar(-10);  // Clipped.\n    const dy = tf.scalar(5);\n    const gradients =\n        tf.grad(x => x.clone().clipByValue(min, max).clone())(x, dy);\n\n    expect(gradients.shape).toEqual(x.shape);\n    expect(gradients.dtype).toEqual('float32');\n    expectArraysClose(await gradients.data(), [0]);\n  });\n\n  it('gradient with primitive as input', async () => {\n    const min = -1;\n    const max = 2;\n    const x = -10;\n    const dy = tf.scalar(5);\n    const gradients = tf.grad(x => x.clipByValue(min, max))(x, dy);\n    expect(gradients.shape).toEqual([]);\n    expect(gradients.dtype).toEqual('float32');\n    expectArraysClose(await gradients.data(), [0]);\n  });\n\n  it('throws when passed a non-tensor', () => {\n    expect(() => tf.clipByValue({} as tf.Tensor, 0, 1))\n        .toThrowError(/Argument 'x' passed to 'clipByValue' must be a Tensor/);\n  });\n\n  it('accepts a tensor-like object', async () => {\n    const min = -1;\n    const max = 50;\n    const result = tf.clipByValue([3, -1, 0, 100, -7, 2], min, max);\n    expectArraysClose(await result.data(), [3, -1, 0, 50, -1, 2]);\n  });\n\n  it('clip(x, eps, 1-eps) never returns 0 or 1', async () => {\n    const min = tf.backend().epsilon();\n    const max = 0.5;\n    const res = await tf.clipByValue([0, 1], min, max).data();\n    expect(res[0]).toBeGreaterThan(0);\n    expect(res[1]).toBeCloseTo(max);\n  });\n\n  it('clip min = max', async () => {\n    const min = 2;\n    const max = 2;\n    const tensor = tf.tensor([1, 2, 3, 4, 5], [5], 'float32');\n    const result = tf.clipByValue(tensor, min, max);\n    expectArraysClose(await result.data(), [2, 2, 2, 2, 2]);\n  });\n\n  it('throws for string tensor', () => {\n    expect(() => tf.clipByValue('q', 0, 1))\n        .toThrowError(/Argument 'x' passed to 'clipByValue' must be numeric/);\n  });\n\n  it('clip int32 tensor', async () => {\n    const min = -1;\n    const max = 50;\n    const tensor = tf.tensor([2, 3, 4], [3], 'int32');\n    const result = tf.clipByValue(tensor, min, max);\n    expectArraysClose(await result.data(), [2, 3, 4]);\n    expect(result.dtype).toEqual('int32');\n  });\n});\n"]}