@tensorflow/tfjs-core
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Hardware-accelerated JavaScript library for machine intelligence
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JavaScript
/**
* @license
* Copyright 2018 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 { getTensorsInContainer, isTensorInList } from './tensor_util';
import { convertToTensor } from './tensor_util_env';
import { expectArraysClose, expectArraysEqual } from './test_util';
describeWithFlags('tensor_util.isTensorInList', ALL_ENVS, () => {
it('not in list', () => {
const a = tf.scalar(1);
const list = [tf.scalar(1), tf.tensor1d([1, 2, 3])];
expect(isTensorInList(a, list)).toBe(false);
});
it('in list', () => {
const a = tf.scalar(1);
const list = [tf.scalar(2), tf.tensor1d([1, 2, 3]), a];
expect(isTensorInList(a, list)).toBe(true);
});
});
describeWithFlags('getTensorsInContainer', ALL_ENVS, () => {
it('null input returns empty tensor', () => {
const results = getTensorsInContainer(null);
expect(results).toEqual([]);
});
it('tensor input returns one element tensor', () => {
const x = tf.scalar(1);
const results = getTensorsInContainer(x);
expect(results).toEqual([x]);
});
it('name tensor map returns flattened tensor', () => {
const x1 = tf.scalar(1);
const x2 = tf.scalar(3);
const x3 = tf.scalar(4);
const results = getTensorsInContainer({ x1, x2, x3 });
expect(results).toEqual([x1, x2, x3]);
});
it('can extract from arbitrary depth', () => {
const container = [
{ x: tf.scalar(1), y: tf.scalar(2) }, [[[tf.scalar(3)]], { z: tf.scalar(4) }]
];
const results = getTensorsInContainer(container);
expect(results.length).toBe(4);
});
it('works with loops in container', () => {
const container = [tf.scalar(1), tf.scalar(2), [tf.scalar(3)]];
const innerContainer = [container];
// tslint:disable-next-line:no-any
container.push(innerContainer);
const results = getTensorsInContainer(container);
expect(results.length).toBe(3);
});
});
describeWithFlags('convertToTensor', ALL_ENVS, () => {
it('primitive integer, NaN converts to zero, no error thrown', async () => {
const a = () => convertToTensor(NaN, 'a', 'test', 'int32');
expect(a).not.toThrowError();
const b = convertToTensor(NaN, 'b', 'test', 'int32');
expect(b.rank).toBe(0);
expect(b.dtype).toBe('int32');
expectArraysClose(await b.data(), 0);
});
it('primitive number', async () => {
const a = convertToTensor(3, 'a', 'test');
expect(a.rank).toBe(0);
expect(a.dtype).toBe('float32');
expectArraysClose(await a.data(), 3);
});
it('primitive integer, NaN converts to zero', async () => {
const a = convertToTensor(NaN, 'a', 'test', 'int32');
expect(a.rank).toBe(0);
expect(a.dtype).toBe('int32');
expectArraysClose(await a.data(), 0);
});
it('primitive boolean, parsed as bool tensor', async () => {
const a = convertToTensor(true, 'a', 'test');
expect(a.rank).toBe(0);
expect(a.dtype).toBe('bool');
expectArraysClose(await a.data(), 1);
});
it('primitive boolean, forced to be parsed as bool tensor', async () => {
const a = convertToTensor(true, 'a', 'test', 'bool');
expect(a.rank).toBe(0);
expect(a.dtype).toBe('bool');
expectArraysEqual(await a.data(), 1);
});
it('array1d', async () => {
const a = convertToTensor([1, 2, 3], 'a', 'test');
expect(a.rank).toBe(1);
expect(a.dtype).toBe('float32');
expect(a.shape).toEqual([3]);
expectArraysClose(await a.data(), [1, 2, 3]);
});
it('array2d', async () => {
const a = convertToTensor([[1], [2], [3]], 'a', 'test');
expect(a.rank).toBe(2);
expect(a.shape).toEqual([3, 1]);
expect(a.dtype).toBe('float32');
expectArraysClose(await a.data(), [1, 2, 3]);
});
it('array3d', async () => {
const a = convertToTensor([[[1], [2]], [[3], [4]]], 'a', 'test');
expect(a.rank).toBe(3);
expect(a.shape).toEqual([2, 2, 1]);
expect(a.dtype).toBe('float32');
expectArraysClose(await a.data(), [1, 2, 3, 4]);
});
it('array4d', async () => {
const a = convertToTensor([[[[1]], [[2]]], [[[3]], [[4]]]], 'a', 'test');
expect(a.rank).toBe(4);
expect(a.shape).toEqual([2, 2, 1, 1]);
expect(a.dtype).toBe('float32');
expectArraysClose(await a.data(), [1, 2, 3, 4]);
});
it('passing a tensor returns the tensor itself', () => {
const s = tf.scalar(3);
const res = convertToTensor(s, 'a', 'test');
expect(res === s).toBe(true);
});
it('passing a tensor with wrong type errors', () => {
const s = tf.scalar(3);
expect(() => convertToTensor(s, 'p', 'f', 'bool'))
.toThrowError(/Argument 'p' passed to 'f' must be bool tensor, but got float32/);
});
it('fails when passed a string and force numeric is true', () => {
const expectedDtype = 'numeric';
expect(() => convertToTensor('hello', 'p', 'test', expectedDtype))
.toThrowError();
});
it('force numeric is true by default', () => {
// Should fail to parse a string tensor since force numeric is true.
expect(() => convertToTensor('hello', 'p', 'test')).toThrowError();
});
it('primitive string, do not force numeric', () => {
const t = convertToTensor('hello', 'p', 'test', 'string_or_numeric');
expect(t.dtype).toBe('string');
expect(t.shape).toEqual([]);
});
it('string[], do not force numeric', () => {
const t = convertToTensor(['a', 'b', 'c'], 'p', 'test', 'string_or_numeric');
expect(t.dtype).toBe('string');
expect(t.shape).toEqual([3]);
});
it('string, explicitly parse as bool', () => {
expect(() => convertToTensor('a', 'argName', 'func', 'bool'))
.toThrowError('Argument \'argName\' passed to \'func\' must be bool tensor' +
', but got string tensor');
});
it('string, throw error if pass null.', () => {
expect(() => convertToTensor('a', 'argName', 'func', null))
.toThrowError('Expected dtype cannot be null.');
});
it('fails to convert a dict to tensor', () => {
expect(() => convertToTensor({}, 'a', 'test'))
.toThrowError('Argument \'a\' passed to \'test\' must be a Tensor ' +
'or TensorLike, but got \'Object\'');
});
it('fails to convert a string to tensor', () => {
expect(() => convertToTensor('asdf', 'a', 'test'))
.toThrowError('Argument \'a\' passed to \'test\' must be numeric tensor, ' +
'but got string tensor');
});
});
describeWithFlags('convertToTensor debug mode', ALL_ENVS, () => {
beforeAll(() => {
// Silence debug warnings.
spyOn(console, 'warn');
tf.enableDebugMode();
});
it('fails to convert a non-valid shape array to tensor', () => {
const a = [[1, 2], [3], [4, 5, 6]]; // 2nd element has only 1 entry.
expect(() => convertToTensor(a, 'a', 'test'))
.toThrowError('Element arr[1] should have 2 elements, but has 1 elements');
});
});
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