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911 lines (811 loc) · 31.2 KB
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/**
* \file python_module/src/cpp/python_helper.cpp
*
* This file is part of MegBrain, a deep learning framework developed by Megvii.
*
* \brief helper utilities for python integration
*
* \copyright Copyright (c) 2014-2020 Megvii Inc. All rights reserved.
*
*/
#include "./python_helper.h"
#include "megbrain/graph/exc_extra_info.h"
#include "megbrain/graph/event.h"
#include "megbrain/graph/cg.h"
#include "megbrain/utils/mempool.h"
#include "./numpy_incl.h"
/*
* demangle typeid, see
* http://stackoverflow.com/questions/281818/unmangling-the-result-of-stdtype-infoname
*/
#ifdef __GNUG__
#include <cstdlib>
#include <memory>
#include <cxxabi.h>
namespace {
std::string demangle_typeid(const char* name) {
int status = -4; // some arbitrary value to eliminate the compiler warning
// enable c++11 by passing the flag -std=c++11 to g++
std::unique_ptr<char, void(*)(void*)> res {
abi::__cxa_demangle(name, nullptr, nullptr, &status),
std::free
};
return (status==0) ? res.get() : name ;
}
}
#else
namespace {
// does nothing if not g++
std::string mgb::demangle_typeid(const char* name) {
return name;
}
}
#endif
using namespace mgb;
using namespace cg;
PyStackExtracter* PyStackExtracter::ins = nullptr;
namespace {
std::string repr_pyobj(PyObject *obj) {
if (!obj)
return "<null PyObject>";
PYTHON_GIL;
auto str = PyObject_Repr(obj);
if (!str)
return ssprintf("<PyObject at %p (repr failed)>", obj);
std::string ret{PyUnicode_AsUTF8(str)};
Py_DECREF(str);
return ret;
}
template<typename T>
std::string typeid_name(const T &t) {
return demangle_typeid(typeid(t).name());
}
} // anonymous namespace
/* ============== OprPyTracker ============== */
class OprPyTracker::TrackerStorage final : public UserDataContainer::UserData,
public NonCopyableObj {
MGB_TYPEINFO_OBJ_DECL;
PyObject* m_cur_tracker = nullptr;
size_t m_refcnt_to_add = 0;
SyncEventConnecter::ReceiverHandler m_opr_insert_handler;
ThinHashMap<OperatorNodeBase*, PyObject*> m_opr2tracker;
public:
explicit TrackerStorage(ComputingGraph& graph) {
auto on_new_opr = [this](const event::OprInserted& ev) {
if (!ev.is_dedup && !ev.exc) {
if (m_cur_tracker) {
++m_refcnt_to_add;
m_opr2tracker[ev.opr] = m_cur_tracker;
}
}
};
m_opr_insert_handler =
graph.event().register_receiver<event::OprInserted>(on_new_opr);
}
~TrackerStorage() {
if (m_cur_tracker) {
// manage refcnt of cur tracker
disable();
}
PYTHON_GIL;
for (auto&& i : m_opr2tracker) {
Py_DecRef(i.second);
}
}
//! get the instance
static TrackerStorage& inst(ComputingGraph& graph) {
auto make = [&graph]() {
return std::make_shared<TrackerStorage>(graph);
};
return *graph.options()
.user_data.get_user_data_or_create<TrackerStorage>(
make);
}
//! get the tracker associated with an opr, or nullptr
PyObject* get(OperatorNodeBase* opr) const {
auto iter = m_opr2tracker.find(opr);
return iter == m_opr2tracker.end() ? nullptr : iter->second;
}
void enable(PyObject* obj) {
mgb_assert(!m_cur_tracker,
"multiple calls to begin_set_tracker() on the same graph");
m_cur_tracker = obj;
}
void disable() {
mgb_assert(m_cur_tracker,
"call end_set_tracker() before begin_set_tracker()");
if (m_refcnt_to_add) {
PYTHON_GIL;
for (size_t i = 0; i < m_refcnt_to_add; ++i) {
Py_IncRef(m_cur_tracker);
}
}
m_cur_tracker = nullptr;
}
};
MGB_TYPEINFO_OBJ_IMPL(OprPyTracker::TrackerStorage);
void OprPyTracker::begin_set_tracker(ComputingGraph& graph, PyObject* obj) {
TrackerStorage::inst(graph).enable(obj);
}
void OprPyTracker::end_set_tracker(ComputingGraph& graph) {
TrackerStorage::inst(graph).disable();
}
OprPyTracker::TrackerResult OprPyTracker::get_tracker(mgb::MegBrainError& exc) {
auto ptr = dynamic_cast<const OperatorNodeExcExtraInfo*>(exc.extra_info());
if (!ptr)
return {};
return get_tracker(ptr->opr());
}
OprPyTracker::TrackerResult OprPyTracker::get_tracker(
mgb::cg::OperatorNodeBase* opr) {
TrackerResult ret;
mgb_assert(opr);
ret.exc_opr = opr;
opr = cg::get_opr_root_source_opr(opr);
ret.unopt_opr = opr;
auto&& storage = TrackerStorage::inst(*opr->owner_graph());
ret.tracker = storage.get(opr);
{
auto&& grad_info = opr->node_prop().attribute().grad_tracker;
if (grad_info.valid()) {
ret.opr_grad_src = cg::get_opr_root_source_opr(grad_info->orig_opr);
ret.tracker_grad_src = storage.get(ret.opr_grad_src);
}
}
return ret;
}
PyObject* OprPyTracker::TrackerResult::as_tuple(const char *leading_msg) const {
std::string msg;
if (leading_msg)
msg = leading_msg;
auto print_opr = [&](const char *otype, cg::OperatorNodeBase *opr) {
if (!opr)
return;
msg += ssprintf("\n%s: id=%zu name=%s type=%s\n",
otype, opr->id(), opr->cname(),
typeid_name(*opr).c_str());
msg += " input variables: \n";
size_t idx = 0;
for (auto i: opr->input()) {
msg += ssprintf(" %zu: ", idx ++);
msg += cg::dump_var_info({i});
msg += "\n";
}
msg += " output variables: \n";
idx = 0;
for (auto i: opr->output()) {
msg += ssprintf(" %zu: ", idx ++);
msg += cg::dump_var_info({i});
msg += "\n";
}
};
print_opr("Associated operator", exc_opr);
if (unopt_opr != exc_opr) {
print_opr("Unoptimized equivalent of associated operator", unopt_opr);
}
print_opr("Associated operator created by taking grad of", opr_grad_src);
PYTHON_GIL;
PyObject *py_msg = PyUnicode_FromString(msg.c_str()),
*py_tuple = PyTuple_Pack(3, py_msg,
tracker ? tracker : Py_None,
tracker_grad_src ? tracker_grad_src : Py_None);
Py_DECREF(py_msg);
return py_tuple;
}
std::string blame(mgb::cg::OperatorNodeBase* opr) {
mgb_assert(PyMGBExceptionMaker::py_exc_class,
"Python exception class is not set yet");
PyObject* args = OprPyTracker::get_tracker(opr).as_tuple();
PYTHON_GIL;
PyObject* py_exc = PyObject_CallObject(PyMGBExceptionMaker::py_exc_class, args);
Py_DECREF(args);
mgb_assert(py_exc);
PyObject* py_str = PyObject_Str(py_exc);
Py_DECREF(py_exc);
mgb_assert(py_str);
int err = PyUnicode_READY(py_str);
if (err) {
Py_DECREF(py_str);
mgb_assert(!err);
}
Py_ssize_t c_str_size;
const char* c_str = PyUnicode_AsUTF8AndSize(py_str, &c_str_size);
if (!c_str) {
Py_DECREF(py_str);
mgb_assert(c_str);
}
std::string ret(c_str, c_str_size);
Py_DECREF(py_str);
return ret;
}
/* ============== PyMGBExceptionMaker ============== */
PyObject *PyMGBExceptionMaker::py_exc_class = nullptr;
void PyMGBExceptionMaker::setup_py_exception(std::exception &exc) {
mgb_assert(py_exc_class);
if (auto cbexc = dynamic_cast<PyExceptionForward*>(&exc)) {
cbexc->restore();
return;
}
std::string msg;
try {
msg = ssprintf("MegBrain core throws exception: %s\n%s",
typeid_name(exc).c_str(), exc.what());
auto mgbexc = dynamic_cast<MegBrainError*>(&exc);
OprPyTracker::TrackerResult tracker;
if (mgbexc) {
tracker = OprPyTracker::get_tracker(*mgbexc);
}
PYTHON_GIL;
PyObject *py_exc_arg = tracker.as_tuple(msg.c_str());
PyErr_SetObject(py_exc_class, py_exc_arg);
Py_DECREF(py_exc_arg);
} catch (std::exception &newexc) {
auto newmsg = ssprintf(
"caught exception during handling exception: %s\n%s\n"
"original message: %s",
typeid_name(newexc).c_str(), newexc.what(),
msg.c_str());
PyErr_SetString(PyExc_RuntimeError, newmsg.c_str());
} catch (...) {
auto newmsg = ssprintf(
"caught unknown exception during handling exception\n"
"original message: %s", msg.c_str());
PyErr_SetString(PyExc_RuntimeError, newmsg.c_str());
}
}
/* ============== PyExceptionForward ============== */
PyExceptionForward::~PyExceptionForward() {
PYTHON_GIL;
PyObjRefKeeper::deleter(m_type);
PyObjRefKeeper::deleter(m_value);
PyObjRefKeeper::deleter(m_traceback);
}
void PyExceptionForward::restore() {
PyErr_Restore(m_type, m_value, m_traceback);
m_type = m_value = m_traceback = nullptr;
}
void PyExceptionForward::throw_() {
PyObject *etype, *obj, *trace;
PyErr_Fetch(&etype, &obj, &trace);
PyErr_NormalizeException(&etype, &obj, &trace);
std::string msg{"python exception"};
bool succ = false;
if (etype && obj && trace) {
auto run = [&]() {
#define DEF(name, expr) \
PyObjRefKeeper name{expr}; \
if (!name.get()) \
return
DEF(mod, PyImport_ImportModule("traceback"));
DEF(result, PyObject_CallMethod(mod.get(), "format_exception",
"(OOO)", etype, obj, trace));
if (!PyList_Check(result.get()))
return;
auto size = PyList_Size(result.get());
msg.append(":\n");
for (Py_ssize_t i = 0; i < size; ++i) {
msg.append(" ");
msg.append(PyUnicode_AsUTF8(PyList_GetItem(result.get(), i)));
}
msg.pop_back(); // remove last \n
succ = true;
#undef DEF
};
run();
}
if (!succ) {
PyObject* obj_str_py;
if (obj && (obj_str_py = PyObject_Repr(obj))) {
msg.append(" with message ");
msg.append(PyUnicode_AsUTF8(obj_str_py));
Py_DECREF(obj_str_py);
} else {
msg.append(" with unknown message");
}
}
// throwing exception may cause abort due to unknown reasons; so we first
// log the message
mgb_log_error("caught exception from python callback: %s", msg.c_str());
fflush(stdout);
fflush(stderr);
throw PyExceptionForward{etype, obj, trace, msg};
}
/* ============== namespace npy ============== */
namespace {
int to_mgb_supported_dtype_raw(int dtype) {
if (dtype == NPY_INT64)
return NPY_INT32;
if (dtype == NPY_FLOAT64)
return NPY_FLOAT32;
return dtype;
}
#define FOREACH_NPY_DTYPE_PAIR(cb) \
cb(Uint8, NPY_UINT8) \
cb(Int8, NPY_INT8) \
cb(Int16, NPY_INT16) \
cb(Int32, NPY_INT32) \
cb(Float16, NPY_FLOAT16) \
cb(Float32, NPY_FLOAT32)
#define FOREACH_NPY_MGB_DTYPE_PAIR(cb) \
FOREACH_NPY_DTYPE_PAIR(cb) \
FOREACH_MGB_DTYPE_PAIR(cb)
//! convert megbrain dtype to numpy dtype
int dtype_mgb2np_raw(DType dtype) {
mgb_assert(dtype.valid(), "attempt to convert from invalid dtype");
switch (dtype.enumv()) {
#define cb(_m, _n) \
case DTypeEnum::_m: \
return _n;
FOREACH_NPY_MGB_DTYPE_PAIR(cb)
#undef cb
default:
break;
}
throw ConversionError(ssprintf(
"can not convert dtype %s to numpy dtype", dtype.name()));
}
struct PyArrayDescrDeleter {
void operator()(PyArray_Descr* obj) {
Py_XDECREF(obj);
}
};
//! Convert MegBrain DType to NumPy DType descriptor, the caller receives a new
//! reference to the descriptor.
std::unique_ptr<PyArray_Descr, PyArrayDescrDeleter> dtype_mgb2np_descr(
DType dtype) {
PYTHON_GIL;
mgb_assert(dtype.valid(), "attempt to convert from invalid dtype");
auto build_mgb_dtype_dict =
[](const char* name,
const std::vector<std::pair<const char*, PyObject*>>& data) {
PyObject* metadata = PyDict_New();
PyObject* mgb_dtype_metadata = PyDict_New();
PyDict_SetItemString(mgb_dtype_metadata, "name",
PyUnicode_FromString(name));
for (const auto& d : data) {
PyDict_SetItemString(mgb_dtype_metadata, d.first, d.second);
}
PyDict_SetItemString(metadata, "mgb_dtype", mgb_dtype_metadata);
return metadata;
};
if (dtype.has_param()) {
PyArray_Descr* type_descr;
switch (dtype.enumv()) {
case DTypeEnum::Quantized8Asymm: {
auto& param = dtype.param<dtype::Quantized8Asymm>();
type_descr = PyArray_DescrNewFromType(NPY_UINT8);
type_descr->metadata = build_mgb_dtype_dict(
DTypeTrait<dtype::Quantized8Asymm>::name,
{{"scale", PyFloat_FromDouble(param.scale)},
{"zero_point", PyLong_FromLong(param.zero_point)}});
break;
}
case DTypeEnum::QuantizedS8: {
auto& param = dtype.param<dtype::QuantizedS8>();
type_descr = PyArray_DescrNewFromType(NPY_INT8);
type_descr->metadata = build_mgb_dtype_dict(
DTypeTrait<dtype::QuantizedS8>::name,
{{"scale", PyFloat_FromDouble(param.scale)}});
break;
}
case DTypeEnum::Quantized4Asymm: {
auto& param = dtype.param<dtype::Quantized4Asymm>();
type_descr = PyArray_DescrNewFromType(NPY_UINT8);
type_descr->metadata = build_mgb_dtype_dict(
DTypeTrait<dtype::Quantized4Asymm>::name,
{{"scale", PyFloat_FromDouble(param.scale)},
{"zero_point", PyLong_FromLong(param.zero_point)}});
break;
}
case DTypeEnum::QuantizedS4: {
auto& param = dtype.param<dtype::QuantizedS4>();
type_descr = PyArray_DescrNewFromType(NPY_INT8);
type_descr->metadata = build_mgb_dtype_dict(
DTypeTrait<dtype::QuantizedS4>::name,
{{"scale", PyFloat_FromDouble(param.scale)}});
break;
}
case DTypeEnum::QuantizedS32: {
auto& param = dtype.param<dtype::QuantizedS32>();
type_descr = PyArray_DescrNewFromType(NPY_INT32);
type_descr->metadata = build_mgb_dtype_dict(
DTypeTrait<dtype::QuantizedS32>::name,
{{"scale", PyFloat_FromDouble(param.scale)}});
break;
}
default:
mgb_throw(ConversionError, "unhandled parameterized DType %s",
dtype.name());
}
return std::unique_ptr<PyArray_Descr, PyArrayDescrDeleter>(type_descr);
}
PyArray_Descr* basic_descr = PyArray_DescrFromType(dtype_mgb2np_raw(dtype));
mgb_assert(basic_descr != nullptr,
"failed to convert expected dtype to numpy type descriptor");
return std::unique_ptr<PyArray_Descr, PyArrayDescrDeleter>(basic_descr);
}
DType dtype_np2mgb_raw(int npt) {
switch (npt) {
#define cb(_m, _n) \
case _n: \
return dtype::_m();
FOREACH_NPY_DTYPE_PAIR(cb)
#undef cb
}
#define cb(_m, _n) \
if (_n == npt) return dtype::_m();
FOREACH_MGB_DTYPE_PAIR(cb)
#undef cb
PYTHON_GIL;
std::string msg;
auto py_obj = PyArray_TypeObjectFromType(npt);
if (!py_obj) {
msg = ssprintf("unknown numpy dtype enum %d", npt);
} else {
msg = ssprintf("unsupported numpy dtype %s",
repr_pyobj(py_obj).c_str());
}
Py_DECREF(py_obj);
throw ConversionError(msg);
}
DType dtype_np2mgb_descr(PyArray_Descr* descr) {
PYTHON_GIL;
auto handle_parameterized_dtype = [](PyObject* metadata) -> DType {
mgb_assert(PyDict_Check(metadata),
"Invalid parameterized DType metadata: should be a dict");
PyObject* dtype_name_py = PyDict_GetItemString(metadata, "name");
mgb_assert(
PyUnicode_Check(dtype_name_py),
"Invalid parameterized DType metadata: name should be a str");
std::string dtype_name(PyUnicode_AsUTF8(dtype_name_py));
if (dtype_name == "Quantized8Asymm") {
PyObject* scale_py = PyDict_GetItemString(metadata, "scale");
PyObject* zero_point_py =
PyDict_GetItemString(metadata, "zero_point");
mgb_assert(scale_py && zero_point_py,
"Invalid Quantized8Asymm metadata: missing scale or "
"zero_point.");
mgb_assert(
PyFloat_Check(scale_py),
"Invalid Quantized8Asymm metadata: scale should be float");
mgb_assert(PyLong_Check(zero_point_py),
"Invalid Quantized8Asymm metadata: zero_point should be "
"integer");
auto zero_point = PyLong_AS_LONG(zero_point_py);
mgb_assert(zero_point >= 0 && zero_point < 256,
"Invalid Quantized8Asymm metadata: zero_point should be "
"in [0, 256)");
return dtype::Quantized8Asymm(
static_cast<float>(PyFloat_AS_DOUBLE(scale_py)),
static_cast<uint8_t>(zero_point));
}
if (dtype_name == "Quantized4Asymm") {
PyObject* scale_py = PyDict_GetItemString(metadata, "scale");
PyObject* zero_point_py =
PyDict_GetItemString(metadata, "zero_point");
mgb_assert(scale_py && zero_point_py,
"Invalid Quantized4Asymm metadata: missing scale or "
"zero_point.");
mgb_assert(
PyFloat_Check(scale_py),
"Invalid Quantized4Asymm metadata: scale should be float");
mgb_assert(PyLong_Check(zero_point_py),
"Invalid Quantized4Asymm metadata: zero_point should be "
"integer");
auto zero_point = PyLong_AS_LONG(zero_point_py);
mgb_assert(zero_point >= 0 && zero_point < 15,
"Invalid Quantized4Asymm metadata: zero_point should be "
"in [0, 15)");
return dtype::Quantized4Asymm(
static_cast<float>(PyFloat_AS_DOUBLE(scale_py)),
static_cast<uint8_t>(zero_point));
}
if (dtype_name == "QuantizedS32" || dtype_name == "QuantizedS8" ||
dtype_name == "QuantizedS4") {
PyObject* scale_py = PyDict_GetItemString(metadata, "scale");
mgb_assert(scale_py, "Invalid metadata: missing scale");
mgb_assert(PyFloat_Check(scale_py),
"Invalid metadata: scale should be float");
float scale = static_cast<float>(PyFloat_AS_DOUBLE(scale_py));
if (dtype_name == "QuantizedS32") {
return dtype::QuantizedS32(scale);
} else if (dtype_name == "QuantizedS8"){
return dtype::QuantizedS8(scale);
} else {
return dtype::QuantizedS4(scale);
}
}
throw ConversionError(
ssprintf("Unknown parameterized DType: %s", dtype_name.c_str())
.c_str());
};
PyObject* dtype_metadata;
if (descr->metadata && PyDict_Check(descr->metadata) &&
(dtype_metadata = PyDict_GetItemString(descr->metadata, "mgb_dtype"))) {
return handle_parameterized_dtype(dtype_metadata);
}
return dtype_np2mgb_raw(descr->type_num);
}
HostTensorND lowbit_ndarray_to_host_tensor(
CompNode comp_node, TensorLayout &layout, PyArrayObject *input) {
auto src_ptr = reinterpret_cast<dt_byte*>(PyArray_DATA(input));
if (!layout.ndim) {
// numpy scalar
mgb_assert(src_ptr, "can not convert from null numpy array");
layout.init_contiguous_stride({1});
} else {
mgb_assert(layout.ndim && layout.ndim <= TensorShape::MAX_NDIM,
"unsupported ndim %zu", layout.ndim);
for (size_t i = 0; i < layout.ndim; ++ i) {
layout.shape[i] = PyArray_SHAPE(input)[i];
layout.stride[i] = PyArray_STRIDE(input, i);
mgb_assert(layout.shape[i], "zero shape not supported");
}
mgb_assert(layout.is_contiguous());
}
HostTensorND ret{comp_node, layout};
lowbit_memcpy_byte2compact(layout.dtype, ret.raw_ptr(), src_ptr,
layout.total_nr_elems());
return ret;
}
/*!
* \brief convert a python object to tensor and try to borrow memory if the
* original object is a contiguous numpy array
* \param dtype see np2tensor
* \return the megbrain tensor, and whether memory is borrowed
*/
std::pair<HostTensorND, bool> np2tensor_try_borrow(
PyObject *obj, CompNode dest_cn, DType dtype) {
mgb_assert(dest_cn.valid());
PYTHON_GIL;
PyArray_Descr* expected_descr = nullptr;
if (dtype.valid()) {
// The reference to expected_descr will be stealed later.
expected_descr = dtype_mgb2np_descr(dtype).release();
}
// make result from PyArrayObject; its reference would be stolen
auto make_from_arr = [&](PyArrayObject *input, bool is_borrow) {
PyObjRefKeeper ref_obj_cvt{reinterpret_cast<PyObject*>(input)};
TensorLayout layout;
layout.dtype = dtype_np2mgb_descr(PyArray_DESCR(input));
if (dtype.valid())
mgb_assert(dtype == layout.dtype);
layout.ndim = PyArray_NDIM(input);
if (layout.dtype.is_low_bit()) {
auto ret = lowbit_ndarray_to_host_tensor(dest_cn, layout, input);
// decref(input) would be handled by ref_obj_cvt
return std::make_pair(ret, false);
}
auto data = reinterpret_cast<dt_byte*>(PyArray_DATA(input));
if (!layout.ndim) {
// numpy scalar
mgb_assert(data, "can not convert from null numpy array");
layout.init_contiguous_stride({1});
} else {
mgb_assert(layout.ndim && layout.ndim <= TensorShape::MAX_NDIM,
"unsupported ndim %zu", layout.ndim);
auto dsize = layout.dtype.size();
bool is_empty = false;
for (size_t i = 0; i < layout.ndim; ++ i) {
layout.shape[i] = PyArray_SHAPE(input)[i];
layout.stride[i] = PyArray_STRIDE(input, i);
if (!layout.shape[i]) {
is_empty = true;
}
mgb_assert(layout.stride[i] % dsize == 0,
"bad stride %zd", layout.stride[i]);
layout.stride[i] /= dsize;
}
mgb_assert(is_empty || layout.is_contiguous());
}
HostTensorStorage storage;
auto input_ptr = ref_obj_cvt.make_shared(data);
storage.reset(dest_cn, layout.span().high_byte, input_ptr);
HostTensorND ret;
ret.reset(storage, layout);
return std::make_pair(ret, is_borrow);
};
PyArrayObject *obj_as_arr = nullptr;
do {
// check contiguous and dtype, and borrow mem if ok
if (!PyArray_Check(obj))
break;
obj_as_arr = reinterpret_cast<PyArrayObject*>(obj);
int typenum = PyArray_DTYPE(obj_as_arr)->type_num;
// We have to check dtype.valid() and typenum first to avoid
// accidentally trigger ConversionError on incompatible dtypes which can
// be automatically converted into comptaible ones (e.g. float64).
if (dtype.valid() &&
(expected_descr->type_num != typenum ||
dtype_np2mgb_descr(PyArray_DTYPE(obj_as_arr)) != dtype))
break;
if (typenum != to_mgb_supported_dtype_raw(typenum)) {
mgb_assert(!dtype.valid() && expected_descr == nullptr);
expected_descr =
PyArray_DescrFromType(to_mgb_supported_dtype_raw(typenum));
break;
}
if (PyArray_ISCARRAY_RO(obj_as_arr)) {
Py_INCREF(obj_as_arr);
return make_from_arr(obj_as_arr, true);
}
} while(0);
constexpr auto NP_FLAGS = NPY_ARRAY_C_CONTIGUOUS | NPY_ARRAY_FORCECAST;
PyObject *obj_cvt;
if (obj_as_arr) {
obj_cvt = PyArray_FromArray(obj_as_arr, expected_descr, NP_FLAGS);
} else {
obj_cvt = PyArray_FromAny(obj, expected_descr, 0, 0, NP_FLAGS, nullptr);
}
if (obj_cvt) {
// convert to mgb supported dtype
auto arr = reinterpret_cast<PyArrayObject*>(obj_cvt);
int dt0 = PyArray_TYPE(arr), dt1 = to_mgb_supported_dtype_raw(dt0);
if (dt0 != dt1) {
mgb_assert(expected_descr == nullptr);
expected_descr = PyArray_DescrFromType(dt1);
mgb_assert(expected_descr);
auto obj_cvt_new = PyArray_FromAny(
obj_cvt, expected_descr, 0, 0, NP_FLAGS, nullptr);
Py_DECREF(obj_cvt);
obj_cvt = obj_cvt_new;
}
}
if (!obj_cvt) {
if (PyErr_Occurred()) {
PyExceptionForward::throw_();
}
throw ConversionError(ssprintf("can not convert to numpy array from %s",
repr_pyobj(obj).c_str()));
}
return make_from_arr(reinterpret_cast<PyArrayObject*>(obj_cvt), false);
}
//! hold a reference to HostTensorND
class HostTensorNDRefHolder final: public NonCopyableObj {
HostTensorND m_val;
static MemPool<HostTensorNDRefHolder> sm_mem_pool;
friend class MemPool<HostTensorNDRefHolder>;
HostTensorNDRefHolder(const HostTensorND &v):
m_val{v}
{
}
public:
static HostTensorNDRefHolder* alloc(const HostTensorND &v) {
return sm_mem_pool.alloc(v);
}
static void free(HostTensorNDRefHolder *p) {
return sm_mem_pool.free(p);
}
};
MemPool<HostTensorNDRefHolder> HostTensorNDRefHolder::sm_mem_pool;
void ndarray_shared_from_tensor_py_capsule_dtor(PyObject *cap) {
auto ptr = PyCapsule_GetPointer(cap, "HostTensorND");
mgb_assert(ptr, "not a PyCapsule: %s", repr_pyobj(cap).c_str());
HostTensorNDRefHolder::free(static_cast<HostTensorNDRefHolder*>(ptr));
}
} // anonymous namespace
PyObject* npy::ndarray_from_tensor(
const HostTensorND &val, ShareType share_type) {
if (!val.layout().is_contiguous() && !val.shape().is_empty()) {
mgb_assert(share_type != ShareType::MUST_SHARE);
HostTensorND contig;
contig.copy_from(val);
return ndarray_from_tensor(contig, ShareType::TRY_SHARE);
}
PYTHON_GIL;
npy_intp dims[TensorLayout::MAX_NDIM];
for (size_t i = 0; i < val.layout().ndim; ++ i)
dims[i] = val.shape()[i];
PyObject* ret = nullptr;
auto alloc_new_ret = [&]() {
mgb_assert(!ret);
ret = PyArray_NewFromDescr(
&PyArray_Type, dtype_mgb2np_descr(val.dtype()).release(),
val.layout().ndim, dims, nullptr, nullptr, 0, nullptr);
mgb_assert(ret, "failed to allocate array");
mgb_assert(PyArray_Check(ret));
return PyArray_DATA(reinterpret_cast<PyArrayObject*>(ret));
};
if (val.dtype().is_low_bit()) {
mgb_assert(share_type != ShareType::MUST_SHARE,
"can not share memory for lowbit dtype");
lowbit_memcpy_compact2byte(val.dtype(), alloc_new_ret(), val.raw_ptr(),
val.layout().total_nr_elems());
} else if (share_type == ShareType::MUST_UNSHARE) {
memcpy(alloc_new_ret(), val.raw_ptr(), val.layout().span().dist_byte());
} else {
// share data
ret = PyArray_NewFromDescr(
&PyArray_Type, dtype_mgb2np_descr(val.dtype()).release(),
val.layout().ndim, dims, nullptr,
const_cast<dt_byte*>(val.raw_ptr()), 0, nullptr);
mgb_assert(ret, "failed to alloc ndarray");
auto capsule = PyCapsule_New(HostTensorNDRefHolder::alloc(val),
"HostTensorND", ndarray_shared_from_tensor_py_capsule_dtor);
mgb_assert(capsule, "failed to create PyCapsule");
auto err = PyArray_SetBaseObject(
reinterpret_cast<PyArrayObject*>(ret), capsule);
mgb_assert(!err);
}
return ret;
}
HostTensorND npy::np2tensor(PyObject* obj, const Meth& meth, DType dtype) {
auto ret_full = np2tensor_try_borrow(obj, meth.dest_cn_, dtype);
if (meth.dest_tensor_) {
meth.dest_tensor_->copy_from(ret_full.first);
return *meth.dest_tensor_;
}
if (meth.must_borrow_) {
mgb_assert(ret_full.second,
"can not borrow from numpy array as contig array with dtype "
"%s; src=%s",
dtype.name(), repr_pyobj(obj).c_str());
}
return ret_full.first;
}
PyObject* npy::dtype_mgb2np(mgb::DType dtype) {
PYTHON_GIL;
// According to
// https://docs.scipy.org/doc/numpy/reference/c-api.array.html#c.PyArray_TypeObjectFromType
// the following is equivalent to PyArray_TypeObjectFromType for built-in
// types.
auto descr = dtype_mgb2np_descr(dtype);
if (descr == nullptr) {
return nullptr;
}
if (dtype.has_param()) {
return reinterpret_cast<PyObject*>(descr.release());
}
PyObject* typeobj = reinterpret_cast<PyObject*>(descr->typeobj);
Py_XINCREF(typeobj);
return typeobj;
}
mgb::DType npy::dtype_np2mgb(PyObject *obj) {
mgb_assert(obj && obj != Py_None,
"can not convert null PyObject to numpy dtype");
// see
// http://stackoverflow.com/questions/8477122/numpy-c-api-convert-type-object-to-type-number
PYTHON_GIL;
PyArray_Descr* dtype;
if(!PyArray_DescrConverter(obj, &dtype)) {
throw ConversionError(ssprintf("can not convert to np.dtype from %s",
repr_pyobj(obj).c_str()));
}
mgb::DType result = dtype_np2mgb_descr(dtype);
Py_DECREF(dtype);
return result;
}
PyObject* npy::to_mgb_supported_dtype(PyObject* dtype) {
PYTHON_GIL;
PyArray_Descr* descr;
if (!PyArray_DescrConverter(dtype, &descr)) {
throw ConversionError(ssprintf("can not convert to np.dtype from %s",
repr_pyobj(dtype).c_str()));
}
mgb_assert(!descr->metadata,
"unexpected metadata in dtype: "
"dtype_obj=%s metadata=%s",
repr_pyobj(dtype).c_str(), repr_pyobj(descr->metadata).c_str());
int type_num = to_mgb_supported_dtype_raw(descr->type_num);
return PyArray_TypeObjectFromType(type_num);
}
TensorShape npy::vec2shape(const std::vector<size_t> &vec) {
TensorShape shape;
mgb_assert(vec.size() <= TensorShape::MAX_NDIM,
"dim too large: %zd (max %zd)",
vec.size(), TensorShape::MAX_NDIM);
shape.ndim = vec.size();
for (size_t i = 0; i < vec.size(); i ++) {
if (!vec[i]) {
shape.ndim = 0;
break;
}
shape[i] = vec[i];
}
mgb_assert(shape.ndim, "shape should not be empty");
return shape;
}
void mgb_init_numpy() {
import_array1( );
}
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