Flip torch
Webimport torch from torch import nn from torch.nn import init from torch.nn import functional as F from torch.autograd import Function from math import sqrt import random def init_linear(linear): init.xavier_normal(linear.weight) linear.bias.data.zero_() def init_conv(conv, glu=True): init.kaiming_normal(conv.weight) if conv.bias is not None: WebJun 10, 2024 · RandomHorizontalFlip () method of torchvision.transforms module is used to horizontally flip the given image at a random angle with a given probability. This method accepts a PIL and tensor image as input. The tensor image is a PyTorch tensor with shape [C, H, W], where C represents the number of channels and H, W represents the height …
Flip torch
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Webtorch.Tensor.flip — PyTorch 2.0 documentation torch.Tensor.flip Tensor.flip(dims) → Tensor See torch.flip () Next Previous © Copyright 2024, PyTorch Contributors. Built …
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Webtorch.flipmakes a copy of input’s data. This is different from NumPy’s np.flip, which returns a view in constant time. Since copying a tensor’s data is more work than viewing that …
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