HalidePyTorchHelpers.h File Reference

Set of utility functions to wrap PyTorch tensors into Halide buffers, making sure the data in on the correct device (CPU/GPU). More...

#include <exception>
#include <iostream>
#include <sstream>
#include <string>
#include <vector>
#include "HalideBuffer.h"

Go to the source code of this file.

Classes
class	Halide::PyTorch::Buffer< T, Dims, InClassDimStorage >
	A templated Buffer class that wraps halide_buffer_t and adds functionality. More...

Namespaces
namespace	Halide
	This file defines the class FunctionDAG, which is our representation of a Halide pipeline, and contains methods to using Halide's bounds tools to query properties of it.
namespace	Halide::PyTorch

Macros
#define	HLPT_CHECK_CONTIGUOUS(x)
#define	HLPT_CHECK_CUDA(x)
#define	HLPT_CHECK_DEVICE(x, dev)
#define	HL_PYTORCH_API_VERSION   12
#define	HL_PT_DEFINE_TYPECHECK(ctype, ttype, _3)

Functions
const halide_device_interface_t *	halide_cuda_device_interface ()
std::vector< int >	Halide::PyTorch::get_dims (const at::Tensor tensor)
template<class scalar_t>
void	Halide::PyTorch::check_type (at::Tensor &tensor)
	Halide::PyTorch::AT_FORALL_SCALAR_TYPES_WITH_COMPLEX (HL_PT_DEFINE_TYPECHECK)
template<class scalar_t>
Buffer< scalar_t >	Halide::PyTorch::wrap (at::Tensor &tensor)
template<class scalar_t>
Buffer< scalar_t >	Halide::PyTorch::wrap_cuda (at::Tensor &tensor)

Detailed Description

Set of utility functions to wrap PyTorch tensors into Halide buffers, making sure the data in on the correct device (CPU/GPU).

This header is included in each generated op by the PyTorch CodeGen.

Definition in file HalidePyTorchHelpers.h.

Macro Definition Documentation

HLPT_CHECK_CONTIGUOUS

#define HLPT_CHECK_CONTIGUOUS

(

x

)

Value:

AT_ASSERTM(x.is_contiguous(), #x " must be contiguous")

Definition at line 21 of file HalidePyTorchHelpers.h.

HLPT_CHECK_CUDA

#define HLPT_CHECK_CUDA

(

x

)

Value:

AT_ASSERTM(x.type().is_cuda(), #x " must be a CUDA tensor")

Definition at line 22 of file HalidePyTorchHelpers.h.

HLPT_CHECK_DEVICE

#define HLPT_CHECK_DEVICE	(		x,
			dev )

Value:

AT_ASSERTM(x.is_cuda() && x.get_device() == dev, #x " must be a CUDA tensor")

Definition at line 23 of file HalidePyTorchHelpers.h.

HL_PYTORCH_API_VERSION

#define HL_PYTORCH_API_VERSION   12

Definition at line 51 of file HalidePyTorchHelpers.h.

HL_PT_DEFINE_TYPECHECK

#define HL_PT_DEFINE_TYPECHECK	(		ctype,
			ttype,
			_3 )

Value:

    template<>                                                                                 \
    inline void check_type<ctype>(at::Tensor & tensor) {                                       \
        AT_ASSERTM(tensor.scalar_type() == at::ScalarType::ttype, "scalar type do not match"); \
    }

Definition at line 71 of file HalidePyTorchHelpers.h.

Referenced by Halide::PyTorch::AT_FORALL_SCALAR_TYPES_WITH_COMPLEX().

Function Documentation

halide_cuda_device_interface()

const halide_device_interface_t * halide_cuda_device_interface

(

)

Referenced by Halide::PyTorch::wrap_cuda().