Shortcuts

torch.cuda.jiterator._create_multi_output_jit_fn

torch.cuda.jiterator._create_multi_output_jit_fn(code_string, num_outputs, **kwargs)[source][source]

Create a jiterator-generated cuda kernel for an elementwise op that supports returning one or more outputs.

Parameters
  • code_string (str) – CUDA code string to be compiled by jiterator. The entry functor must return value by reference.

  • num_outputs (int) – number of outputs return by the kernel

  • kwargs (Dict, optional) – Keyword arguments for generated function

Return type

Callable

Example:

code_string = "template <typename T> void my_kernel(T x, T y, T alpha, T& out) { out = -x + alpha * y; }"
jitted_fn = create_jit_fn(code_string, alpha=1.0)
a = torch.rand(3, device='cuda')
b = torch.rand(3, device='cuda')
# invoke jitted function like a regular python function
result = jitted_fn(a, b, alpha=3.14)

Warning

This API is in beta and may change in future releases.

Warning

This API only supports up to 8 inputs and 8 outputs

Docs

Access comprehensive developer documentation for PyTorch

View Docs

Tutorials

Get in-depth tutorials for beginners and advanced developers

View Tutorials

Resources

Find development resources and get your questions answered

View Resources