blob: dec7bf9d0addfe858be0024d1605c2503c7e8056 [file] [log] [blame]
#include <ATen/ATen.h>
#include <ATen/MapAllocator.h>
#include <torch/csrc/utils/pycfunction_helpers.h>
#include <torch/csrc/utils/python_numbers.h>
#include <torch/csrc/utils/python_arg_parser.h>
#ifdef USE_CUDA
#include <cuda_runtime.h>
#endif
#if !defined(THC_GENERIC_FILE)
#include <c10/core/CPUAllocator.h>
#include <ATen/native/Resize.h>
#else
#include <ATen/native/cuda/Resize.h>
#endif
#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<scalar_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
auto self = (THPStorage*)_self;
#if defined(USE_CUDA)
return PyBool_FromLong(at::globalContext().isPinnedPtr(self->cdata->data<scalar_t>()));
#else
Py_RETURN_FALSE;
#endif
END_HANDLE_TH_ERRORS
}
static PyObject * THPStorage_(elementSize)(PyObject *_self, PyObject *noargs)
{
HANDLE_TH_ERRORS
auto self = (THPStorage*)_self;
return THPUtils_packInt64(sizeof(scalar_t));
END_HANDLE_TH_ERRORS
}
static PyObject * THPStorage_(new)(PyObject *_self, PyObject *noargs)
{
HANDLE_TH_ERRORS
auto self = (THPStorage*)_self;
auto new_storage = c10::make_intrusive<at::StorageImpl>(
c10::StorageImpl::use_byte_size_t(),
0,
#if defined(THC_GENERIC_FILE)
c10::cuda::CUDACachingAllocator::get(),
#else
c10::GetDefaultCPUAllocator(),
#endif
/*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);
#if defined(THC_GENERIC_FILE)
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);
#else
at::native::resize_bytes_cpu(self->cdata, newsize);
#endif
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(THPUtils_(checkReal)(number_arg), "fill_ expects %s, "
"but got %s", THPUtils_typeTraits<scalar_t>::python_type_str,
THPUtils_typename(number_arg));
storage_fill(
at::unsafeStorageFromTH(self->cdata, /*retain=*/true),
THPUtils_(unpackReal)(number_arg));
Py_INCREF(self);
return (PyObject*)self;
END_HANDLE_TH_ERRORS
}
#if !defined(THC_GENERIC_FILE)
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,
#if defined(THC_GENERIC_FILE)
c10::cuda::CUDACachingAllocator::get(),
#else
c10::GetDefaultCPUAllocator(),
#endif
/*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
}
#endif
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;
#ifdef THC_GENERIC_FILE
THError("not available yet for CUDA");
return nullptr;
#else
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));
#endif
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");
PyObject *fd_obj = PyTuple_GetItem(args, 0);
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
}
#ifdef THC_GENERIC_FILE
PyObject * THPStorage_(getDevice)(PyObject *_self, PyObject *noargs)
{
HANDLE_TH_ERRORS
auto self = (THPStorage*)_self;
return THPUtils_packInt32(self->cdata->device().index());
END_HANDLE_TH_ERRORS
}
#endif
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},
#if !defined(THC_GENERIC_FILE)
{"from_buffer", castPyCFunctionWithKeywords(THPStorage_(fromBuffer)),
METH_VARARGS | METH_KEYWORDS | METH_STATIC, nullptr},
#endif
{"from_file", castPyCFunctionWithKeywords(THPStorage_(fromFile)),
METH_VARARGS | METH_KEYWORDS | METH_STATIC, nullptr},
#ifdef THC_GENERIC_FILE
{"get_device", THPStorage_(getDevice), METH_NOARGS, nullptr},
#endif
{"_set_cdata", THPStorage_(_setCdata), METH_O, nullptr},
{nullptr}
};