flatten¶

dragon.vm.torch.flatten(
  input,
  start_dim=0,
  end_dim=- 1,
  out=None
)[source]¶

Return a tensor with dimensions flattened.

start_dim and end_dim could be negative:

# A negative dimension is the last-k dimension
x = torch.tensor([[1, 2, 3], [4, 5, 6]])
print(torch.flatten(x, start_dim=0, end_dim=1))
print(torch.flatten(x, start_dim=0, end_dim=-1))  # Equivalent

Parameters:

• input (torch.Tensor) – The input tensor.
• start_dim (int, optional, default=0) – The start dimension to flatten.
• end_dim (int, optional, default=-1) – The end dimension to flatten.
• out (dragon.vm.torch.Tensor, optional) – The output tensor.

Returns:

dragon.vm.torch.Tensor – The output tensor.