x = x.view(B, H, W, C) x1 = x[:, 0::2, 1::2, :]
时间: 2024-05-29 22:12:46 浏览: 9
These two lines of code are used in PyTorch to perform a downsampling operation on a tensor x with shape (B, C, H, W).
The first line reshapes the tensor by transposing the dimensions to (B, H, W, C), which allows for easier indexing in the subsequent line.
The second line uses slicing to extract every other row and column of the tensor along the spatial dimensions (height and width) while keeping all channels. This results in a downsampled tensor with half the spatial resolution in each dimension, effectively reducing the total number of pixels in the image by a factor of 4.
The resulting tensor x1 has shape (B, C, H/2, W/2). This downsampling operation is commonly used in neural networks for tasks such as image classification and object detection.
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