enhance test cases for gaussian_random_op and uniform_random_op #5276
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| tensor2 = numpy.array(scope.find_var("Out").get_tensor()) | ||
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| false_num = (tensor1 != tensor2).sum() | ||
| self.assertGreater(false_num, int(0.95 * 1000 * 784)) |
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I am curious about why the rate is 0.95
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This is a personal choice. Although tensor1 and tensor2 are sampled randomly, some values may still be identical by chance. So I choose a not-so-big, not-so-small value. I'll add a comment for it.
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Add comments for the ratio 0.95 used in |
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感谢您给PaddlePaddle贡献代码。由于Paddle V1/V2版本已不再维护，相关代码也已从develop分支上删除，因此关闭您的PR，欢迎您向Paddle最新版-Fluid贡献代码。 |
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