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PyTorch Tutorial
- PyTorch Tutorial
- PyTorch Introduction
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- PyTorch Basics
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- Pytorch torch Reference Manual
- PyTorch torch.nn Reference Manual
- Transformer Model
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- PyTorch Example - Image Classification Project
- PyTorch Example - Text Sentiment Analysis Project
- PyTorch Autograd Automatic Differentiation
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- PyTorch Model Evaluation and Debugging
- PyTorch torchtext
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### torch.reshape
The `torch.reshape` function in PyTorch is used to change the shape of a tensor without changing its data. It returns a new tensor with the same data as the input tensor but with a different shape.
Syntax:
torch.reshape(input, shape)
Parameters:
- input: The input tensor to be reshaped.
- shape: The desired shape of the output tensor. The total number of elements must remain the same.
Returns:
- A new tensor with the specified shape.
Example:
import torch
# Create a tensor
x = torch.arange(6)
# Reshape the tensor
y = torch.reshape(x, (2, 3))
print(y)
Output:
tensor([[0, 1, 2],
[3, 4, 5]])
This example demonstrates how to use `torch.reshape` to change the shape of a tensor from a 1D array of 6 elements to a 2D tensor of shape (2, 3).
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