mirror of
https://github.com/saymrwulf/pytorch.git
synced 2026-05-15 21:00:47 +00:00
02f794b102
Summary: We need this to be able to register them with the c10 dispatcher. The overload names are based on one-letter-per-argument-type. Script used to change native_functions.yaml and derivatives.yaml: P75630718 Pull Request resolved: https://github.com/pytorch/pytorch/pull/23532 ghstack-source-id: 87539687 Differential Revision: D16553437 fbshipit-source-id: a1d0f10c42d284eba07e2a40641f71baa4f82ecf
56 lines
1.8 KiB
C++
56 lines
1.8 KiB
C++
#include <torch/extension.h>
|
|
|
|
#include <c10/core/Allocator.h>
|
|
#include <ATen/CPUGenerator.h>
|
|
#include <ATen/DeviceGuard.h>
|
|
#include <ATen/NativeFunctions.h>
|
|
#include <ATen/Utils.h>
|
|
#include <ATen/WrapDimUtils.h>
|
|
#include <c10/util/Half.h>
|
|
#include <c10/core/TensorImpl.h>
|
|
#include <c10/core/UndefinedTensorImpl.h>
|
|
#include <c10/util/Optional.h>
|
|
#include <ATen/core/ATenDispatch.h>
|
|
|
|
#include <cstddef>
|
|
#include <functional>
|
|
#include <memory>
|
|
#include <utility>
|
|
|
|
#include <ATen/Config.h>
|
|
|
|
namespace at {
|
|
|
|
static Tensor empty_complex(IntArrayRef size, const TensorOptions & options, c10::optional<c10::MemoryFormat> optional_memory_format) {
|
|
TORCH_CHECK(!optional_memory_format.has_value(), "memory format is not supported")
|
|
AT_ASSERT(options.device().is_cpu());
|
|
|
|
for (auto x: size) {
|
|
TORCH_CHECK(x >= 0, "Trying to create tensor using size with negative dimension: ", size);
|
|
}
|
|
auto* allocator = at::getCPUAllocator();
|
|
int64_t nelements = at::prod_intlist(size);
|
|
auto dtype = options.dtype();
|
|
auto storage_impl = c10::make_intrusive<StorageImpl>(
|
|
dtype,
|
|
nelements,
|
|
allocator->allocate(nelements * dtype.itemsize()),
|
|
allocator,
|
|
/*resizable=*/true);
|
|
|
|
auto tensor = detail::make_tensor<TensorImpl>(storage_impl, at::ComplexCPUTensorId());
|
|
// Default TensorImpl has size [0]
|
|
if (size.size() != 1 || size[0] != 0) {
|
|
tensor.unsafeGetTensorImpl()->set_sizes_contiguous(size);
|
|
}
|
|
return tensor;
|
|
}
|
|
|
|
static auto& complex_empty_registration = globalATenDispatch().registerOp(
|
|
Backend::ComplexCPU,
|
|
"aten::empty.memory_format(int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, MemoryFormat? memory_format=None) -> Tensor",
|
|
&empty_complex);
|
|
|
|
}
|
|
|
|
PYBIND11_MODULE(TORCH_EXTENSION_NAME, m) { }
|