torch.allclose()方法是PyTorch框架中的一个函数,用于判断两个张量是否在一定的容差范围内近似相等。该函数可以帮助我们判断两个张量是否接近相等,而不需要完全相等。这对于机器学习和深度学习任务中的数值计算非常有用。 2.2 参数介绍 torch.allclose()方法具有以下参数: - input (Tensor):要比较的第一个输入张量。
元素层面,对于input和other的所有元素。该函数的行为类似于numpy.allclose 例子: >>>torch.allclose(torch.tensor([10000.,1e-07]), torch.tensor([10000.1,1e-08]))False>>>torch.allclose(torch.tensor([10000.,1e-08]), torch.tensor([10000.1,1e-09]))True>>>torch.allclose(torch.tensor([1.0, fl...
The following are 30 code examples of torch.allclose(). You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may also want to check out all available functions/classes of...
🐛 Describe the bug I encountered an unexpected behavior when computing the mean of different slices of a tensor and comparing them using torch.allclose(). Despite torch.allclose() returning True, indicating that the slices are numericall...
This patch asserts the return value of torch.allclose in test_unary_math. If result y was incorrect, the testcase would fail. Problem torch.allclose() returns a boolean value. it's not an assertion. If we comment out the triton kernel call, it's still can pass. - kernel[(1, )](x...
Preventative fix of a test failure with oneDNN v3.5 upgrade where order of float32 arithmetic may change in torch.admm ( bias term can be at the start or end of the arithmetic ) resulting in slightly different output due to float32 precision loss. Replaced occurrences of torch.allclose with...