|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
#pragma once |
|
|
#include <torch/extension.h> |
|
|
|
|
|
#define CHECK_CUDA(x) TORCH_CHECK(x.is_cuda(), #x " must be a CUDA tensor.") |
|
|
#define CHECK_CONTIGUOUS(x) TORCH_CHECK(x.is_contiguous(), #x " must be contiguous.") |
|
|
#define CHECK_CONTIGUOUS_CUDA(x) \ |
|
|
CHECK_CUDA(x); \ |
|
|
CHECK_CONTIGUOUS(x) |
|
|
#define CHECK_DEFINED(value) \ |
|
|
TORCH_CHECK(value.defined(), "(): expected " #value " not be undefined, but it is ", value); |
|
|
#define CHECK_STRIDED(value) \ |
|
|
TORCH_CHECK( \ |
|
|
value.layout() == at::kStrided, \ |
|
|
"(): expected " #value "to have torch.strided layout, but it has ", \ |
|
|
value.layout()); |
|
|
#define CHECK_SPATIAL_1D_2D_OR_3D(value) \ |
|
|
TORCH_CHECK( \ |
|
|
(value.dim() == 3 || value.dim() == 4 || value.dim() == 5), \ |
|
|
"(): expected 3D, 4D or 5D " #value " but got input with sizes ", \ |
|
|
value.sizes()); |
|
|
#define CHECK_GRID_COMPONENT(value, dim) \ |
|
|
TORCH_CHECK( \ |
|
|
value.size(-1) == dim - 2, \ |
|
|
"(): expected " #value " to have size ", \ |
|
|
dim - 2, \ |
|
|
" in last " \ |
|
|
"dimension, but got " #value " with sizes ", \ |
|
|
value.sizes()); |
|
|
#define CHECK_SAME_DEVICE(value1, value2) \ |
|
|
TORCH_CHECK( \ |
|
|
value1.device() == value2.device(), \ |
|
|
"(): expected " #value1 " and " #value2 \ |
|
|
" to be on same device, " \ |
|
|
"but " #value1 " is on ", \ |
|
|
value1.device(), \ |
|
|
" and " #value2 " is on ", \ |
|
|
value2.device()); |
|
|
#define CHECK_SAME_DTYPE(value1, value2) \ |
|
|
TORCH_CHECK( \ |
|
|
value1.dtype() == value2.dtype(), \ |
|
|
"(): expected " #value1 " and " #value2 \ |
|
|
" to have the same dtype, " \ |
|
|
"but " #value1 " has ", \ |
|
|
value1.dtype(), \ |
|
|
" and " #value2 " has ", \ |
|
|
value2.dtype()); |
|
|
#define CHECK_SPATIAL_NOT_EMPTY(value) \ |
|
|
for (int64_t i = 2; i < value.dim(); i++) { \ |
|
|
TORCH_CHECK( \ |
|
|
value.size(i) > 0, \ |
|
|
"(): expected " #value " to have non-empty spatial dimensions, but input has sizes ", \ |
|
|
value.sizes(), \ |
|
|
" with dimension ", \ |
|
|
i, \ |
|
|
" being empty"); \ |
|
|
} |
|
|
#define CHECK_GRID_TARGET_COMPAT(value1, value2) \ |
|
|
TORCH_CHECK( \ |
|
|
value2.size(0) == value1.size(0) && (value2.dim() <= 2 || value2.size(2) == value1.size(1)) && \ |
|
|
(value2.dim() <= 3 || value2.size(3) == value1.size(2)) && \ |
|
|
(value2.dim() <= 4 || value2.size(4) == value1.size(3)), \ |
|
|
"(): expected " #value2 " and " #value1 \ |
|
|
" to have same batch, width, height and (optionally) depth sizes, but got " #value2 " with sizes ", \ |
|
|
value2.sizes(), \ |
|
|
" and " #value1 " with sizes ", \ |
|
|
value1.sizes()); |
|
|
#define CHECK_SPATIAL_LENGTH(value, dim) \ |
|
|
TORCH_CHECK(((int64_t)(value.size()) == dim - 2), "(): expected ", dim, #value " elements but got ", value.size()); |
|
|
#define CHECK_VEC_NOT_EMPTY(value) TORCH_CHECK(!value.empty(), "(): expected nonempty value " #value); |
|
|
|