tensor.md
In torch: Tensors and Neural Networks with 'GPU' Acceleration

print tensor is truncated

torch_tensor
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... [the output was truncated (use n=-1 to disable)]
[ CPUFloatType{100} ]

torch_tensor
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[ CPUFloatType{25} ]

torch_tensor
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... [the output was truncated (use n=-1 to disable)]
[ CPUFloatType{100} ]

torch_tensor
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[ CPUFloatType{100} ]

print tensors with grad_fn and requires_grad

Code
  print(x)
Output
  torch_tensor
   1
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   3
  [ CPUFloatType{3} ]
Code
  print(y)
Output
  torch_tensor
   1
   2
   3
  [ CPUFloatType{3} ][ requires_grad = TRUE ]
Code
  print(z)
Output
  torch_tensor
   0.0000
   0.6931
   1.0986
  [ CPUFloatType{3} ][ grad_fn = <LogBackward0> ]

print complex tensors

Code
  print(x)
Output
  torch_tensor
  ℹ Use `$real` or `$imag` to print the contents of this tensor.
  [ CPUComplexFloatType{10} ]

Code
  print(x)
Output
  torch_tensor
  ℹ Use `$real` or `$imag` to print the contents of this tensor.
  [ CPUComplexFloatType{10} ][ requires_grad = TRUE ]

Code
  print(y)
Output
  torch_tensor
  ℹ Use `$real` or `$imag` to print the contents of this tensor.
  [ CPUComplexFloatType{10} ][ grad_fn = <MulBackward0> ]