@tensorflow/tfjs-core
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Hardware-accelerated JavaScript library for machine intelligence
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JavaScript
/**
* @license
* Copyright 2017 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 concat_util from './concat_util';
describe('concat_util.assertConcatShapesMatch rank=3D', () => {
it('Non-3D tensor x1', () => {
const assertFn = () => {
concat_util.assertParamsConsistent([[1], [1, 2, 3]], 1);
};
expect(assertFn).toThrow();
});
it('Non-3D tensor x2', () => {
const assertFn = () => {
concat_util.assertParamsConsistent([[1, 2, 3], [2, 3]], 1);
};
expect(assertFn).toThrow();
});
it('axis out of bound', () => {
const assertFn = () => {
concat_util.assertParamsConsistent([[1, 2, 3], [1, 2, 3]], 4);
};
expect(assertFn).toThrow();
});
it('non-axis shape mismatch', () => {
const assertFn = () => {
concat_util.assertParamsConsistent([[2, 3, 3], [2, 2, 4]], 2);
};
expect(assertFn).toThrow();
});
it('shapes line up', () => {
const assertFn = () => {
concat_util.assertParamsConsistent([[2, 3, 3], [2, 3, 4]], 2);
};
expect(assertFn).not.toThrow();
});
it('3 shapes, all line up', () => {
const assertFn = () => {
concat_util.assertParamsConsistent([[2, 3, 3], [2, 3, 4], [2, 3, 8]], 2);
};
expect(assertFn).not.toThrow();
});
it('3 shapes, 3rd shape does not line up', () => {
const assertFn = () => {
concat_util.assertParamsConsistent([[2, 5, 3], [2, 1, 3], [2, 1, 5]], 1);
};
expect(assertFn).toThrow();
});
});
describe('concat_util.computeConcatOutputShape', () => {
it('compute output shape, axis=0', () => {
expect(concat_util.computeOutShape([[2, 2, 3], [1, 2, 3]], 0)).toEqual([
3, 2, 3
]);
});
});
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