PyTorch torch.sparse_csc_tensor Function
Pytorch torch Reference Manual
torch.sparse_csc_tensoris a function in PyTorch used to construct sparse CSC (Compressed Sparse Column) tensors.
Function Definition
torch.sparse_csc_tensor(ccol_indices, row_indices, values, size=None, dtype=None, device=None, requires_grad=False)
Usage Example
Example
import torch
# Create sparse CSC tensor
# Column pointers
ccol_indices = torch.tensor([0, 1, 2, 3])
# Row indices
row_indices = torch.tensor([0, 1, 2, 0])
# Values
values = torch.tensor([1.0, 2.0, 3.0, 4.0])
# Tensor size
size = (3, 3)
# Construct sparse CSC tensor
x = torch.sparse_csc_tensor(ccol_indices, row_indices, values, size)
print(x)
print("Dense tensor:")
print(x.to_dense())
# Create sparse CSC tensor
# Column pointers
ccol_indices = torch.tensor([0, 1, 2, 3])
# Row indices
row_indices = torch.tensor([0, 1, 2, 0])
# Values
values = torch.tensor([1.0, 2.0, 3.0, 4.0])
# Tensor size
size = (3, 3)
# Construct sparse CSC tensor
x = torch.sparse_csc_tensor(ccol_indices, row_indices, values, size)
print(x)
print("Dense tensor:")
print(x.to_dense())
Other Extensions