Halide 22.0.0 Halide compiler and libraries

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Namespaces | Macros | Functions
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.

## 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) AT_ASSERTM(x.is_contiguous(), #x " must be contiguous")
#define | HLPT_CHECK_CUDA(x) AT_ASSERTM(x.type().is_cuda(), #x " must be a CUDA tensor")
#define | HLPT_CHECK_DEVICE(x, dev) AT_ASSERTM(x.is_cuda() && x.get_device() == dev, #x " must be a CUDA tensor")
#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 | ) | 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 | ) | 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
| ) |  | 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.

## Function Documentation

## ◆ halide_cuda_device_interface()

const halide_device_interface_t * halide_cuda_device_interface | ( |  | ) |

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