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#include <torch/csrc/python_headers.h>
#ifdef _MSC_VER
#include <c10/util/win32-headers.h>
#endif
#include <structmember.h>
#include <c10/core/CPUAllocator.h>
#include <libshm.h>
#include <torch/csrc/CudaIPCTypes.h>
#include <torch/csrc/Device.h>
#include <torch/csrc/DynamicTypes.h>
#include <torch/csrc/THP.h>
#include <torch/csrc/autograd/utils/wrap_outputs.h>
#include <torch/csrc/copy_utils.h>
#include <c10/util/intrusive_ptr.h>
#include <fmt/format.h>
#include <torch/csrc/Storage.h>
#include <torch/csrc/StorageMethods.h>
#include <ATen/ATen.h>
#include <ATen/MapAllocator.h>
#include <torch/csrc/utils/pycfunction_helpers.h>
#include <torch/csrc/utils/python_arg_parser.h>
#include <torch/csrc/utils/python_numbers.h>
#ifdef USE_CUDA
#include <ATen/native/cuda/Resize.h>
#include <cuda_runtime.h>
#endif
#include <ATen/native/Resize.h>
#ifdef _MSC_VER
#define LSEEK _lseeki64
#else
#define LSEEK lseek
#endif
static PyObject* THPStorage_nbytes(PyObject* _self, PyObject* noargs) {
HANDLE_TH_ERRORS
auto self = (THPStorage*)_self;
return THPUtils_packUInt64(self->cdata->nbytes());
END_HANDLE_TH_ERRORS
}
static PyObject* THPStorage_dataPtr(PyObject* _self, PyObject* noargs) {
HANDLE_TH_ERRORS
auto self = (THPStorage*)_self;
return PyLong_FromVoidPtr(self->cdata->data<uint8_t>());
END_HANDLE_TH_ERRORS
}
static PyObject* THPStorage_copy_(
PyObject* self,
PyObject* args,
PyObject* kwargs) {
HANDLE_TH_ERRORS
at::Storage self_ = torch::createStorage(self);
static torch::PythonArgParser parser({
"copy_(Storage src, bool? non_blocking=None)",
});
torch::ParsedArgs<2> parsed_args;
auto r = parser.parse(args, kwargs, parsed_args);
at::Storage src = r.storage(0);
bool non_blocking = r.toBoolOptional(1).value_or(false);
TORCH_CHECK(self_.nbytes() == src.nbytes(), "size does not match");
storage_copy(self_, src, non_blocking);
Py_INCREF(self);
return self;
END_HANDLE_TH_ERRORS
}
static PyObject* THPStorage_isPinned(PyObject* _self, PyObject* noargs) {
HANDLE_TH_ERRORS
#if defined(USE_CUDA)
auto self = (THPStorage*)_self;
return PyBool_FromLong(
at::globalContext().isPinnedPtr(self->cdata->data<uint8_t>()));
#else
Py_RETURN_FALSE;
#endif
END_HANDLE_TH_ERRORS
}
static PyObject* THPStorage_elementSize(PyObject* _self, PyObject* noargs) {
HANDLE_TH_ERRORS
return THPUtils_packInt64(sizeof(uint8_t));
END_HANDLE_TH_ERRORS
}
static PyObject* THPStorage_new(PyObject* _self, PyObject* noargs) {
HANDLE_TH_ERRORS
auto self = (THPStorage*)_self;
c10::Allocator* allocator = self->cdata->allocator();
auto new_storage = c10::make_intrusive<at::StorageImpl>(
c10::StorageImpl::use_byte_size_t(),
0,
allocator,
/*resizable=*/true);
// NOLINTNEXTLINE(cppcoreguidelines-init-variables)
return THPStorage_New(std::move(new_storage));
END_HANDLE_TH_ERRORS
}
static PyObject* THPStorage_resize_(PyObject* _self, PyObject* number_arg) {
HANDLE_TH_ERRORS
auto self = (THPStorage*)_self;
THPUtils_assert(
THPUtils_checkLong(number_arg),
"resize_ expects an int, "
"but got %s",
THPUtils_typename(number_arg));
int64_t newsize = THPUtils_unpackLong(number_arg);
c10::DeviceType device_type = self->cdata->device_type();
if (device_type == at::kCPU) {
at::native::resize_bytes_cpu(self->cdata, newsize);
#ifdef USE_CUDA
} else if (device_type == at::kCUDA) {
ptrdiff_t size_bytes_i = newsize;
TORCH_CHECK(
!c10::overflows<size_t>(size_bytes_i),
"Requested storage size (",
size_bytes_i,
") cannot be represented as a size_t");
const auto size_bytes = static_cast<size_t>(size_bytes_i);
at::native::resize_bytes_cuda(self->cdata, size_bytes);
#endif
} else {
TORCH_CHECK(
false,
"UntypedStorage.resize_: got unexpected device type ",
device_type);
}
Py_INCREF(self);
return (PyObject*)self;
END_HANDLE_TH_ERRORS
}
static PyObject* THPStorage_fill_(PyObject* _self, PyObject* number_arg) {
HANDLE_TH_ERRORS
auto self = (THPStorage*)_self;
THPUtils_assert(
THPByteUtils_checkReal(number_arg),
"fill_ expects int, "
"but got %s",
THPUtils_typename(number_arg));
storage_fill(
at::unsafeStorageFromTH(self->cdata, /*retain=*/true),
THPByteUtils_unpackReal(number_arg));
Py_INCREF(self);
return (PyObject*)self;
END_HANDLE_TH_ERRORS
}
static PyObject* THPStorage_fromBuffer(
PyObject* _unused,
PyObject* args,
PyObject* keywds) {
HANDLE_TH_ERRORS
PyObject* obj = nullptr;
const char* byte_order_str = nullptr;
Py_ssize_t count = -1, offset = 0;
PyObject* dtype_obj = nullptr;
c10::ScalarType scalar_type = at::kByte;
Py_buffer buffer = {};
// NOLINTNEXTLINE(cppcoreguidelines-avoid-c-arrays,modernize-avoid-c-arrays,clang-diagnostic-writable-strings)
static char* kwlist[] = {
"buffer", "byte_order", "count", "offset", "dtype", nullptr};
// NOLINTNEXTLINE(cppcoreguidelines-init-variables)
const char* argtypes;
argtypes = "O|snnO";
if (!PyArg_ParseTupleAndKeywords(
args,
keywds,
argtypes,
kwlist,
&obj,
&byte_order_str,
&count,
&offset,
&dtype_obj)) {
return nullptr;
}
TORCH_CHECK(dtype_obj != nullptr, "argument 'dtype' cannot be None");
TORCH_CHECK(
THPDtype_Check(dtype_obj),
"argument 'dtype' must be of type torch.dtype");
auto dtype = reinterpret_cast<THPDtype*>(dtype_obj);
scalar_type = dtype->scalar_type;
TORCH_CHECK(
(scalar_type == at::kByte) || (scalar_type == at::kChar) ||
(byte_order_str != nullptr),
"function missing required argument 'byte_order' (pos 2)");
size_t element_size = c10::elementSize(scalar_type);
// NOLINTNEXTLINE(cppcoreguidelines-init-variables)
torch::utils::THPByteOrder byte_order;
if (scalar_type != at::kByte && scalar_type != at::kChar) {
if (strcmp(byte_order_str, "native") == 0) {
byte_order = torch::utils::THP_nativeByteOrder();
} else if (strcmp(byte_order_str, "big") == 0) {
byte_order = torch::utils::THP_BIG_ENDIAN;
} else if (strcmp(byte_order_str, "little") == 0) {
byte_order = torch::utils::THP_LITTLE_ENDIAN;
} else {
PyErr_Format(
PyExc_ValueError,
"invalid byte_order '%s' (expected 'big', 'little', or 'native')",
byte_order_str);
return nullptr;
}
}
if (PyObject_GetBuffer(obj, &buffer, PyBUF_SIMPLE) < 0)
return nullptr;
if (offset < 0 || offset > buffer.len) {
PyErr_SetString(
PyExc_ValueError,
fmt::format(
"offset must be non-negative and no greater than buffer length ({}) , but got {}",
offset,
buffer.len));
PyBuffer_Release(&buffer);
return nullptr;
}
// NOLINTNEXTLINE(cppcoreguidelines-init-variables)
size_t size_bytes;
if (count < 0) {
if ((buffer.len - offset) % element_size != 0) {
PyErr_SetString(
PyExc_ValueError,
fmt::format(
"buffer size ({}) must be a multiple of element size ({})",
buffer.len,
element_size));
PyBuffer_Release(&buffer);
return nullptr;
}
size_bytes = buffer.len - offset;
count = size_bytes / element_size;
} else {
size_bytes = count * element_size;
}
if (offset + (count * (Py_ssize_t)element_size) > buffer.len) {
PyErr_SetString(
PyExc_ValueError,
fmt::format(
"buffer has only {} elements after offset {}, but specified a size of {}",
buffer.len - offset,
offset,
count));
PyBuffer_Release(&buffer);
return nullptr;
}
uint8_t* src = (uint8_t*)buffer.buf;
auto storage = c10::make_intrusive<at::StorageImpl>(
c10::StorageImpl::use_byte_size_t(),
size_bytes,
c10::GetDefaultCPUAllocator(),
/*resizable=*/true);
if (scalar_type == at::kByte || scalar_type == at::kChar) {
memcpy(storage->data(), src + offset, count);
} else if (scalar_type == at::kBool) {
// Because of ASAN checks, that are failing whenever
// we are trying to get a value which is not 0 or 1, we have to manually
// convert original values to boolean ones.
torch::utils::THP_decodeBoolBuffer(
storage->data<bool>(), src + offset, byte_order, count);
} else if (scalar_type == at::kShort) {
torch::utils::THP_decodeInt16Buffer(
storage->data<int16_t>(), src + offset, byte_order, count);
} else if (scalar_type == at::kInt) {
torch::utils::THP_decodeInt32Buffer(
storage->data<int32_t>(), src + offset, byte_order, count);
} else if (scalar_type == at::kLong) {
torch::utils::THP_decodeInt64Buffer(
storage->data<int64_t>(), src + offset, byte_order, count);
} else if (scalar_type == at::kHalf) {
torch::utils::THP_decodeHalfBuffer(
storage->data<c10::Half>(), src + offset, byte_order, count);
} else if (scalar_type == at::kBFloat16) {
torch::utils::THP_decodeBFloat16Buffer(
storage->data<c10::BFloat16>(), src + offset, byte_order, count);
} else if (scalar_type == at::kFloat) {
torch::utils::THP_decodeFloatBuffer(
storage->data<float>(), src + offset, byte_order, count);
} else if (scalar_type == at::kDouble) {
torch::utils::THP_decodeDoubleBuffer(
storage->data<double>(), src + offset, byte_order, count);
} else if (scalar_type == at::kComplexFloat) {
torch::utils::THP_decodeComplexFloatBuffer(
storage->data<c10::complex<float>>(), src + offset, byte_order, count);
} else if (scalar_type == at::kComplexDouble) {
torch::utils::THP_decodeComplexDoubleBuffer(
storage->data<c10::complex<double>>(), src + offset, byte_order, count);
} else {
TORCH_CHECK(false, "Unknown type: ", scalar_type);
}
PyBuffer_Release(&buffer);
return (PyObject*)THPStorage_New(storage);
END_HANDLE_TH_ERRORS
}
static PyObject* THPStorage_fromFile(
PyObject* _unused,
PyObject* args,
PyObject* keywds) {
HANDLE_TH_ERRORS
// NOLINTNEXTLINE(cppcoreguidelines-init-variables)
const char* filename;
Py_ssize_t nbytes = 0;
int shared = 0;
// NOLINTNEXTLINE(cppcoreguidelines-avoid-c-arrays,modernize-avoid-c-arrays,clang-diagnostic-writable-strings)
static char* kwlist[] = {"filename", "shared", "nbytes", nullptr};
if (!PyArg_ParseTupleAndKeywords(
args, keywds, "s|in", kwlist, &filename, &shared, &nbytes)) {
return nullptr;
}
if (shared)
shared = at::ALLOCATOR_MAPPED_SHARED;
size_t actual_nbytes = -1;
auto storage = c10::make_intrusive<at::StorageImpl>(
c10::StorageImpl::use_byte_size_t(),
nbytes,
at::MapAllocator::makeDataPtr(filename, shared, nbytes, &actual_nbytes),
/*allocator=*/nullptr,
/*resizable=*/false);
if (nbytes <= 0) {
storage->set_nbytes(actual_nbytes);
}
return (PyObject*)THPStorage_New(std::move(storage));
END_HANDLE_TH_ERRORS
}
PyObject* THPStorage_writeFile(PyObject* _self, PyObject* args) {
HANDLE_TH_ERRORS
auto self = (THPStorage*)_self;
PyObject* file = PyTuple_GetItem(args, 0);
bool is_real_file = PyTuple_GetItem(args, 1) == Py_True;
bool save_size = PyTuple_GetItem(args, 2) == Py_True;
PyObject* element_size_obj = PyTuple_GET_ITEM(args, 3);
THPUtils_assert(
element_size_obj != Py_None, "_write_file: need to specify element size");
uint64_t element_size = THPUtils_unpackUInt64(element_size_obj);
if (!is_real_file) {
THPStorage_writeFileRaw<PyObject*>(
self->cdata, file, save_size, element_size);
Py_RETURN_NONE;
}
int fd = PyObject_AsFileDescriptor(file);
THPUtils_assert(
fd != -1,
"_write_file couldn't retrieve a file descriptor "
"from given object");
THPStorage_writeFileRaw(self->cdata, fd, save_size, element_size);
Py_RETURN_NONE;
END_HANDLE_TH_ERRORS
}
PyObject* THPStorage_newWithFile(PyObject* _unused, PyObject* args) {
HANDLE_TH_ERRORS
TORCH_CHECK(
PyTuple_Size(args) == 2, "_new_with_file takes exactly two arguments");
int fd = PyObject_AsFileDescriptor(PyTuple_GetItem(args, 0));
THPUtils_assert(
fd != -1,
"_new_with_file couldn't retrieve a file "
"descriptor from given object");
PyObject* element_size_obj = PyTuple_GET_ITEM(args, 1);
THPUtils_assert(
element_size_obj != Py_None,
"_new_with_file: need to specify element size");
uint64_t element_size = THPUtils_unpackUInt64(element_size_obj);
auto storage = THPStorage_readFileRaw<int>(fd, {}, element_size);
if (!storage.defined())
return nullptr;
return THPStorage_New(std::move(storage));
END_HANDLE_TH_ERRORS
}
static PyObject* THPStorage_setFromFile(PyObject* _self, PyObject* args) {
HANDLE_TH_ERRORS
auto self = (THPStorage*)_self;
PyObject* file = PyTuple_GET_ITEM(args, 0);
PyObject* offset = PyTuple_GET_ITEM(args, 1);
bool is_real_file = PyTuple_GET_ITEM(args, 2) == Py_True;
PyObject* element_size_obj = PyTuple_GET_ITEM(args, 3);
THPUtils_assert(
element_size_obj != Py_None,
"_set_from_file: need to specify element size");
uint64_t element_size = THPUtils_unpackUInt64(element_size_obj);
if (!is_real_file) {
// offset can be implemented with a call to the Python object's seek()
// but it is currently unnecessary to support this.
THPUtils_assert(
offset == Py_None,
"_set_from_file: offset is NYI for filelike objects");
auto self_storage =
c10::intrusive_ptr<c10::StorageImpl>::reclaim_copy(self->cdata);
auto storage = THPStorage_readFileRaw<PyObject*>(
file, std::move(self_storage), element_size);
if (!storage.defined()) {
return nullptr;
}
Py_INCREF(self);
return (PyObject*)self;
}
// file is backed by a fd
const int fd = PyObject_AsFileDescriptor(file);
const auto fd_original_pos = LSEEK(fd, 0, SEEK_CUR);
if (offset != Py_None) {
LSEEK(fd, THPUtils_unpackLong(offset), SEEK_SET);
}
THPUtils_assert(
fd != -1,
"_set_from_file couldn't retrieve a file "
"descriptor from given object");
auto self_storage =
c10::intrusive_ptr<c10::StorageImpl>::reclaim_copy(self->cdata);
auto storage = THPStorage_readFileRaw<int>(fd, self_storage, element_size);
if (!storage.defined())
return nullptr;
Py_INCREF(self);
// the file descriptor is returned to original position and
// the file handle at python call-site needs updating to the
// advanced position
const auto fd_current_pos = LSEEK(fd, 0, SEEK_CUR);
LSEEK(fd, fd_original_pos, SEEK_SET);
const auto seek_return =
PyObject_CallMethod(file, "seek", "Li", (long long)fd_current_pos, 0);
if (seek_return == nullptr) {
return nullptr;
}
Py_DECREF(seek_return);
return (PyObject*)self;
END_HANDLE_TH_ERRORS
}
PyObject* THPStorage__setCdata(PyObject* _self, PyObject* new_cdata) {
HANDLE_TH_ERRORS
auto self = (THPStorage*)_self;
THPUtils_assert(
THPUtils_checkLong(new_cdata),
"given an invalid argument to "
"_set_cdata - expected an int or long, but got %s",
THPUtils_typename(new_cdata));
c10::StorageImpl* ptr = (c10::StorageImpl*)PyLong_AsVoidPtr(new_cdata);
if (ptr) {
c10::raw::intrusive_ptr::incref(ptr);
}
if (self->cdata) {
c10::raw::intrusive_ptr::decref(self->cdata);
}
self->cdata = ptr;
Py_INCREF(self);
return (PyObject*)self;
END_HANDLE_TH_ERRORS
}
// NOLINTNEXTLINE(cppcoreguidelines-avoid-c-arrays,modernize-avoid-c-arrays,cppcoreguidelines-avoid-non-const-global-variables)
static PyMethodDef THPStorage_methods[] = {
{"copy_",
castPyCFunctionWithKeywords(THPStorage_copy_),
METH_VARARGS | METH_KEYWORDS,
nullptr},
{"element_size", THPStorage_elementSize, METH_NOARGS, nullptr},
{"fill_", THPStorage_fill_, METH_O, nullptr},
{"new", THPStorage_new, METH_NOARGS, nullptr},
{"resize_", THPStorage_resize_, METH_O, nullptr},
{"nbytes", THPStorage_nbytes, METH_NOARGS, nullptr},
{"data_ptr", THPStorage_dataPtr, METH_NOARGS, nullptr},
{"is_pinned", THPStorage_isPinned, METH_NOARGS, nullptr},
{"_write_file", THPStorage_writeFile, METH_VARARGS, nullptr},
{"_new_with_file",
THPStorage_newWithFile,
METH_VARARGS | METH_STATIC,
nullptr},
{"_set_from_file", THPStorage_setFromFile, METH_VARARGS, nullptr},
{"from_buffer",
castPyCFunctionWithKeywords(THPStorage_fromBuffer),
METH_VARARGS | METH_KEYWORDS | METH_STATIC,
nullptr},
{"from_file",
castPyCFunctionWithKeywords(THPStorage_fromFile),
METH_VARARGS | METH_KEYWORDS | METH_STATIC,
nullptr},
{"_set_cdata", THPStorage__setCdata, METH_O, nullptr},
{nullptr}};
PyMethodDef* THPStorage_getMethods() {
return THPStorage_methods;
}
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