Accept numpy array view. (#4147)

* Accept array view (slice) in metainfo.
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Jiaming Yuan 2019-02-18 22:21:34 +08:00 committed by GitHub
parent 0ff84d950e
commit a985a99cf0
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6 changed files with 152 additions and 43 deletions

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@ -1,5 +1,5 @@
/*! /*!
* Copyright (c) 2015 by Contributors * Copyright (c) 2015-2019 by Contributors
* \file c_api.h * \file c_api.h
* \author Tianqi Chen * \author Tianqi Chen
* \brief C API of XGBoost, used for interfacing to other languages. * \brief C API of XGBoost, used for interfacing to other languages.
@ -283,6 +283,23 @@ XGB_DLL int XGDMatrixSetFloatInfo(DMatrixHandle handle,
const char *field, const char *field,
const float *array, const float *array,
bst_ulong len); bst_ulong len);
/*!
* \brief `XGDMatrixSetFloatInfo' with strided array as input.
*
* \param handle a instance of data matrix
* \param field field name, can be label, weight
* \param array pointer to float vector
* \param stride stride of input vector
* \param len length of array
*
* \return 0 when success, -1 when failure happens
*/
XGB_DLL int XGDMatrixSetFloatInfoStrided(DMatrixHandle handle,
const char *field,
const float *array,
const bst_ulong stride,
bst_ulong len);
/*! /*!
* \brief set uint32 vector to a content in info * \brief set uint32 vector to a content in info
* \param handle a instance of data matrix * \param handle a instance of data matrix
@ -295,6 +312,23 @@ XGB_DLL int XGDMatrixSetUIntInfo(DMatrixHandle handle,
const char *field, const char *field,
const unsigned *array, const unsigned *array,
bst_ulong len); bst_ulong len);
/*!
* \brief `XGDMatrixSetUIntInfo' with strided array as input.
*
* \param handle a instance of data matrix
* \param field field name
* \param array pointer to unsigned int vector
* \param stride stride of input vector
* \param len length of array
*
* \return 0 when success, -1 when failure happens
*/
XGB_DLL int XGDMatrixSetUIntInfoStrided(DMatrixHandle handle,
const char *field,
const unsigned *array,
const bst_ulong stride,
bst_ulong len);
/*! /*!
* \brief set label of the training matrix * \brief set label of the training matrix
* \param handle a instance of data matrix * \param handle a instance of data matrix

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@ -122,6 +122,7 @@ class MetaInfo {
* \param num Number of elements in the source array. * \param num Number of elements in the source array.
*/ */
void SetInfo(const char* key, const void* dptr, DataType dtype, size_t num); void SetInfo(const char* key, const void* dptr, DataType dtype, size_t num);
void SetInfo(const char* key, const void* dptr, DataType dtype, size_t stride, size_t num);
private: private:
/*! \brief argsort of labels */ /*! \brief argsort of labels */

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@ -219,6 +219,17 @@ def c_array(ctype, values):
return (ctype * len(values))(*values) return (ctype * len(values))(*values)
def _get_length_and_stride(data):
"Return length and stride of 1-D data."
if isinstance(data, np.ndarray) and data.base is not None:
length = len(data.base)
stride = data.strides[0] // data.dtype.itemsize
else:
length = len(data)
stride = 1
return length, stride
PANDAS_DTYPE_MAPPER = {'int8': 'int', 'int16': 'int', 'int32': 'int', 'int64': 'int', PANDAS_DTYPE_MAPPER = {'int8': 'int', 'int16': 'int', 'int32': 'int', 'int64': 'int',
'uint8': 'int', 'uint16': 'int', 'uint32': 'int', 'uint64': 'int', 'uint8': 'int', 'uint16': 'int', 'uint32': 'int', 'uint64': 'int',
'float16': 'float', 'float32': 'float', 'float64': 'float', 'float16': 'float', 'float32': 'float', 'float64': 'float',
@ -585,10 +596,13 @@ class DMatrix(object):
The array of data to be set The array of data to be set
""" """
c_data = c_array(ctypes.c_float, data) c_data = c_array(ctypes.c_float, data)
_check_call(_LIB.XGDMatrixSetFloatInfo(self.handle, length, stride = _get_length_and_stride(data)
_check_call(_LIB.XGDMatrixSetFloatInfoStrided(
self.handle,
c_str(field), c_str(field),
c_data, c_data,
c_bst_ulong(len(data)))) c_bst_ulong(stride),
c_bst_ulong(length)))
def set_float_info_npy2d(self, field, data): def set_float_info_npy2d(self, field, data):
"""Set float type property into the DMatrix """Set float type property into the DMatrix
@ -604,10 +618,13 @@ class DMatrix(object):
""" """
data = np.array(data, copy=False, dtype=np.float32) data = np.array(data, copy=False, dtype=np.float32)
c_data = data.ctypes.data_as(ctypes.POINTER(ctypes.c_float)) c_data = data.ctypes.data_as(ctypes.POINTER(ctypes.c_float))
_check_call(_LIB.XGDMatrixSetFloatInfo(self.handle, length, stride = _get_length_and_stride(data)
_check_call(_LIB.XGDMatrixSetFloatInfoStrided(
self.handle,
c_str(field), c_str(field),
c_data, c_data,
c_bst_ulong(len(data)))) c_bst_ulong(stride),
c_bst_ulong(length)))
def set_uint_info(self, field, data): def set_uint_info(self, field, data):
"""Set uint type property into the DMatrix. """Set uint type property into the DMatrix.
@ -620,10 +637,15 @@ class DMatrix(object):
data: numpy array data: numpy array
The array of data to be set The array of data to be set
""" """
_check_call(_LIB.XGDMatrixSetUIntInfo(self.handle, data = np.array(data, copy=False, dtype=ctypes.c_uint)
c_data = c_array(ctypes.c_uint, data)
length, stride = _get_length_and_stride(data)
_check_call(_LIB.XGDMatrixSetUIntInfoStrided(
self.handle,
c_str(field), c_str(field),
c_array(ctypes.c_uint, data), c_data,
c_bst_ulong(len(data)))) c_bst_ulong(stride),
c_bst_ulong(length)))
def save_binary(self, fname, silent=True): def save_binary(self, fname, silent=True):
"""Save DMatrix to an XGBoost buffer. """Save DMatrix to an XGBoost buffer.
@ -719,9 +741,7 @@ class DMatrix(object):
group : array like group : array like
Group size of each group Group size of each group
""" """
_check_call(_LIB.XGDMatrixSetGroup(self.handle, self.set_uint_info('group', group)
c_array(ctypes.c_uint, group),
c_bst_ulong(len(group))))
def get_label(self): def get_label(self):
"""Get the label of the DMatrix. """Get the label of the DMatrix.

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@ -1,4 +1,4 @@
// Copyright (c) 2014 by Contributors // Copyright (c) 2014-2019 by Contributors
#include <xgboost/data.h> #include <xgboost/data.h>
#include <xgboost/learner.h> #include <xgboost/learner.h>
@ -769,7 +769,7 @@ XGB_DLL int XGDMatrixSaveBinary(DMatrixHandle handle,
XGB_DLL int XGDMatrixSetFloatInfo(DMatrixHandle handle, XGB_DLL int XGDMatrixSetFloatInfo(DMatrixHandle handle,
const char* field, const char* field,
const bst_float* info, const xgboost::bst_float* info,
xgboost::bst_ulong len) { xgboost::bst_ulong len) {
API_BEGIN(); API_BEGIN();
CHECK_HANDLE(); CHECK_HANDLE();
@ -778,14 +778,38 @@ XGB_DLL int XGDMatrixSetFloatInfo(DMatrixHandle handle,
API_END(); API_END();
} }
XGB_DLL int XGDMatrixSetUIntInfo(DMatrixHandle handle, XGB_DLL int XGDMatrixSetFloatInfoStrided(DMatrixHandle handle,
const char* field, const char* field,
const unsigned* info, const xgboost::bst_float* info,
const xgboost::bst_ulong stride,
xgboost::bst_ulong len) { xgboost::bst_ulong len) {
API_BEGIN(); API_BEGIN();
CHECK_HANDLE(); CHECK_HANDLE();
static_cast<std::shared_ptr<DMatrix>*>(handle) static_cast<std::shared_ptr<DMatrix>*>(handle)
->get()->Info().SetInfo(field, info, kUInt32, len); ->get()->Info().SetInfo(field, info, kFloat32, stride, len);
API_END();
}
XGB_DLL int XGDMatrixSetUIntInfo(DMatrixHandle handle,
const char* field,
const unsigned* array,
xgboost::bst_ulong len) {
API_BEGIN();
CHECK_HANDLE();
static_cast<std::shared_ptr<DMatrix>*>(handle)
->get()->Info().SetInfo(field, array, kUInt32, len);
API_END();
}
XGB_DLL int XGDMatrixSetUIntInfoStrided(DMatrixHandle handle,
const char* field,
const unsigned* array,
const xgboost::bst_ulong stride,
xgboost::bst_ulong len) {
API_BEGIN();
CHECK_HANDLE();
static_cast<std::shared_ptr<DMatrix>*>(handle)
->get()->Info().SetInfo(field, array, kUInt32, stride, len);
API_END(); API_END();
} }

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@ -1,5 +1,5 @@
/*! /*!
* Copyright 2015 by Contributors * Copyright 2015-2019 by Contributors
* \file data.cc * \file data.cc
*/ */
#include <xgboost/data.h> #include <xgboost/data.h>
@ -100,45 +100,70 @@ inline bool MetaTryLoadFloatInfo(const std::string& fname,
#define DISPATCH_CONST_PTR(dtype, old_ptr, cast_ptr, proc) \ #define DISPATCH_CONST_PTR(dtype, old_ptr, cast_ptr, proc) \
switch (dtype) { \ switch (dtype) { \
case kFloat32: { \ case kFloat32: { \
auto cast_ptr = reinterpret_cast<const float*>(old_ptr); proc; break; \ auto cast_ptr = reinterpret_cast<const float*>(old_ptr); proc; \
break; \
} \ } \
case kDouble: { \ case kDouble: { \
auto cast_ptr = reinterpret_cast<const double*>(old_ptr); proc; break; \ auto cast_ptr = reinterpret_cast<const double*>(old_ptr); proc; \
break; \
} \ } \
case kUInt32: { \ case kUInt32: { \
auto cast_ptr = reinterpret_cast<const uint32_t*>(old_ptr); proc; break; \ auto cast_ptr = reinterpret_cast<const uint32_t*>(old_ptr); proc; \
break; \
} \ } \
case kUInt64: { \ case kUInt64: { \
auto cast_ptr = reinterpret_cast<const uint64_t*>(old_ptr); proc; break; \ auto cast_ptr = reinterpret_cast<const uint64_t*>(old_ptr); proc; \
break; \
} \ } \
default: LOG(FATAL) << "Unknown data type" << dtype; \ default: LOG(FATAL) << "Unknown data type" << dtype; \
} \ } \
void MetaInfo::SetInfo(const char* key, const void* dptr, DataType dtype, size_t num) { void MetaInfo::SetInfo(const char* key, const void* dptr, DataType dtype, size_t num) {
this->SetInfo(key, dptr, dtype, 1, num);
}
template <typename IterIn, typename IterOut>
void StridedCopy(IterIn in_beg, IterIn in_end, IterOut out_beg, size_t stride) {
if (stride != 1) {
IterOut out_iter = out_beg;
for (IterIn in_iter = in_beg; in_iter < in_end; in_iter += stride) {
*out_iter = *in_iter;
out_iter++;
}
} else {
// There can be builtin optimization in std::copy
std::copy(in_beg, in_end, out_beg);
}
}
void MetaInfo::SetInfo(
const char* key, const void* dptr, DataType dtype, size_t stride, size_t num) {
size_t view_length =
static_cast<size_t>(std::ceil(static_cast<bst_float>(num) / stride));
if (!std::strcmp(key, "root_index")) { if (!std::strcmp(key, "root_index")) {
root_index_.resize(num); root_index_.resize(view_length);
DISPATCH_CONST_PTR(dtype, dptr, cast_dptr, DISPATCH_CONST_PTR(dtype, dptr, cast_dptr,
std::copy(cast_dptr, cast_dptr + num, root_index_.begin())); StridedCopy(cast_dptr, cast_dptr + num, root_index_.begin(), stride));
} else if (!std::strcmp(key, "label")) { } else if (!std::strcmp(key, "label")) {
auto& labels = labels_.HostVector(); auto& labels = labels_.HostVector();
labels.resize(num); labels.resize(view_length);
DISPATCH_CONST_PTR(dtype, dptr, cast_dptr, DISPATCH_CONST_PTR(dtype, dptr, cast_dptr,
std::copy(cast_dptr, cast_dptr + num, labels.begin())); StridedCopy(cast_dptr, cast_dptr + num, labels.begin(), stride));
} else if (!std::strcmp(key, "weight")) { } else if (!std::strcmp(key, "weight")) {
auto& weights = weights_.HostVector(); auto& weights = weights_.HostVector();
weights.resize(num); weights.resize(view_length);
DISPATCH_CONST_PTR(dtype, dptr, cast_dptr, DISPATCH_CONST_PTR(dtype, dptr, cast_dptr,
std::copy(cast_dptr, cast_dptr + num, weights.begin())); StridedCopy(cast_dptr, cast_dptr + num, weights.begin(), stride));
} else if (!std::strcmp(key, "base_margin")) { } else if (!std::strcmp(key, "base_margin")) {
auto& base_margin = base_margin_.HostVector(); auto& base_margin = base_margin_.HostVector();
base_margin.resize(num); base_margin.resize(view_length);
DISPATCH_CONST_PTR(dtype, dptr, cast_dptr, DISPATCH_CONST_PTR(dtype, dptr, cast_dptr,
std::copy(cast_dptr, cast_dptr + num, base_margin.begin())); StridedCopy(cast_dptr, cast_dptr + num, base_margin.begin(), stride));
} else if (!std::strcmp(key, "group")) { } else if (!std::strcmp(key, "group")) {
group_ptr_.resize(num + 1); group_ptr_.resize(view_length+1);
DISPATCH_CONST_PTR(dtype, dptr, cast_dptr, DISPATCH_CONST_PTR(dtype, dptr, cast_dptr,
std::copy(cast_dptr, cast_dptr + num, group_ptr_.begin() + 1)); StridedCopy(cast_dptr, cast_dptr + num, group_ptr_.begin() + 1, stride));
group_ptr_[0] = 0; group_ptr_[0] = 0;
for (size_t i = 1; i < group_ptr_.size(); ++i) { for (size_t i = 1; i < group_ptr_.size(); ++i) {
group_ptr_[i] = group_ptr_[i - 1] + group_ptr_[i]; group_ptr_[i] = group_ptr_[i - 1] + group_ptr_[i];
@ -146,7 +171,6 @@ void MetaInfo::SetInfo(const char* key, const void* dptr, DataType dtype, size_t
} }
} }
DMatrix* DMatrix::Load(const std::string& uri, DMatrix* DMatrix::Load(const std::string& uri,
bool silent, bool silent,
bool load_row_split, bool load_row_split,

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@ -63,6 +63,12 @@ class TestBasic(unittest.TestCase):
# assert they are the same # assert they are the same
assert np.sum(np.abs(preds2 - preds)) == 0 assert np.sum(np.abs(preds2 - preds)) == 0
def test_np_view(self):
y = np.array([12, 34, 56], np.float32)[::2]
from_view = xgb.DMatrix([], label=y).get_label()
from_array = xgb.DMatrix([], label=y + 0).get_label()
assert (from_view == from_array).all()
def test_record_results(self): def test_record_results(self):
dtrain = xgb.DMatrix(dpath + 'agaricus.txt.train') dtrain = xgb.DMatrix(dpath + 'agaricus.txt.train')
dtest = xgb.DMatrix(dpath + 'agaricus.txt.test') dtest = xgb.DMatrix(dpath + 'agaricus.txt.test')