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The method returns a new tensor with the additional dimension. Example This example demonstrates adding a new dimension to a tensor using.unsqueeze(): importtorch # Create a 1D tensor tensor=torch.tensor([1,2,3]) # Add a new dimension at position 0 ...
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10 total contributions Published Dec 16, 2024 Contribute to Docs In PyTorch, the.index_select()function extracts specific elements from a tensor along a specified dimension based on indices and returns a new tensor. Syntax torch.index_select(input, dim, index, out=None) ...
input arrays. Convolution is a mathematical process that combines two sequences to produce a third sequence, representing the way one sequence is modified by the other. It is frequently used in signal processing, data analysis, and machine learning tasks, such as filtering signals or image ...
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