transferring the tensor from the CPU to the GPU while maintaining its underlying type
A tensor of order zero is just a number or a scalar.
Tensor − Imperative n-dimensional array which runs on GPU.
Variable − Node in the computational graph. This stores data and gradient
Module − Neural network layer which will store state or learnable weights.
t is not recommended for production usage in certain scenarios where latency requirements are very high.
A tensor of order one (1storder tensor) is an array of numbers or a vector.
ndorder tensor is an array of vectors or a matrix.
a rectangular array of numbers is called metrics.
NumPy library, these metrics called ndarray.
n PyTorch, it is known as Tensor
Torch provides tensor computation with strong GPU acceleration
Access to the GPUs is via a specialized API called CUDA
The CUDA API was created by NVIDIA and is limited to use on only NVIDIA GPUs
A PyTorch Variable is a wrapper around a PyTorch Tensor, and represents a node in a computational graph
If x is a Variable then x.data is a Tensor
and x.grad is another Variable holding the gradient of x with respect to some scalar valu
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