jit_ops: Enable idiomatic access to JIT operators from R.

In torch: Tensors and Neural Networks with 'GPU' Acceleration

Enable idiomatic access to JIT operators from R.

Description

Call JIT operators directly from R, keeping the familiar argument types and argument order. Note, however, that:

• all arguments are required (no defaults)

• axis numbering (as well as position numbers overall) starts from 0

• scalars have to be wrapped in jit_scalar()

Usage

jit_ops

Format

An object of class torch_ops of length 0.

Examples

if (torch_is_installed()) {
t1 <- torch::torch_rand(4, 5)
t2 <- torch::torch_ones(5, 4)
# same as torch::torch_matmul(t1, t2)
jit_ops$aten$matmul(t1, t2)

# same as torch_split(torch::torch_arange(0, 3), 2, 1)
jit_ops$aten$split(torch::torch_arange(0, 3), torch::jit_scalar(2L), torch::jit_scalar(0L))

}

torch documentation built on June 7, 2023, 6:19 p.m.