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torch.max(input, dim, keepdim=False, *, out=None) Returns a namedtuple (values, indices) where values is the maximum value of each row of the input tensor in the given dimension dim. And indices is the index location of each maximum value found (argmax).
- Torch.Any
PyTorch. Explore the documentation for comprehensive...
- Torch.Min
PyTorch. Explore the documentation for comprehensive...
- torch.argmax
torch.argmax. torch.argmax(input) → LongTensor. Returns the...
- Torch.Any
torch.argmax. torch.argmax(input) → LongTensor. Returns the indices of the maximum value of all elements in the input tensor. This is the second value returned by torch.max(). See its documentation for the exact semantics of this method.
The torch package contains data structures for multi-dimensional tensors and defines mathematical operations over these tensors. Additionally, it provides many utilities for efficient serialization of Tensors and arbitrary types, and other useful utilities.
PyTorch is an optimized tensor library for deep learning using GPUs and CPUs. Features described in this documentation are classified by release status: Stable: These features will be maintained long-term and there should generally be no major performance limitations or gaps in documentation.
4 sie 2022 · In this article, we learned about using the torch.max() function, to find out the maximum element of a Tensor. We also used this function to compare two tensors and get the maximum among them. For similar articles, do go through our content on our PyTorch tutorials! Stay tuned for more! References. PyTorch Official Documentation on torch.max()
MaxPool2d. Applies a 2D max pooling over an input signal composed of several input planes. If padding is non-zero, then the input is implicitly padded with negative infinity on both sides for padding number of points. dilation controls the spacing between the kernel points.
18 sie 2023 · Definition wise: max() function should output the maximum element present in the array (in NumPy context) or tensor (in PyTorch context). Whereas, maximum() is used for comparison between two arrays or tensors.
