Expose DMatrix API for CUDA columnar and array. (#7217)
* Use JSON encoded configurations. * Expose them into header file.
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@ -210,6 +210,36 @@ XGB_DLL int XGDMatrixCreateFromDT(void** data,
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DMatrixHandle* out,
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int nthread);
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/*!
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* \brief Create DMatrix from CUDA columnar format. (cuDF)
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* \param data Array of JSON encoded __cuda_array_interface__ for each column.
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* \param json_config JSON encoded configuration. Required values are:
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*
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* - missing
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* - nthread
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*
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* \param out created dmatrix
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* \return 0 when success, -1 when failure happens
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*/
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XGB_DLL int XGDMatrixCreateFromCudaColumnar(char const *data,
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char const* json_config,
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DMatrixHandle *out);
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/*!
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* \brief Create DMatrix from CUDA array.
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* \param data JSON encoded __cuda_array_interface__ for array data.
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* \param json_config JSON encoded configuration. Required values are:
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*
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* - missing
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* - nthread
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*
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* \param out created dmatrix
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* \return 0 when success, -1 when failure happens
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*/
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XGB_DLL int XGDMatrixCreateFromCudaArrayInterface(char const *data,
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char const* json_config,
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DMatrixHandle *out);
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/*
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* ========================== Begin data callback APIs =========================
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*
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@ -421,17 +421,17 @@ def _transform_cudf_df(data, feature_names, feature_types, enable_categorical):
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def _from_cudf_df(
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data, missing, nthread, feature_names, feature_types, enable_categorical
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):
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) -> Tuple[ctypes.c_void_p, Any, Any]:
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data, feature_names, feature_types = _transform_cudf_df(
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data, feature_names, feature_types, enable_categorical
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)
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_, interfaces_str = _cudf_array_interfaces(data)
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handle = ctypes.c_void_p()
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config = bytes(json.dumps({"missing": missing, "nthread": nthread}), "utf-8")
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_check_call(
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_LIB.XGDMatrixCreateFromArrayInterfaceColumns(
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_LIB.XGDMatrixCreateFromCudaColumnar(
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interfaces_str,
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ctypes.c_float(missing),
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ctypes.c_int(nthread),
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config,
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ctypes.byref(handle),
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)
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)
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@ -469,11 +469,11 @@ def _from_cupy_array(data, missing, nthread, feature_names, feature_types):
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data = _transform_cupy_array(data)
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interface_str = _cuda_array_interface(data)
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handle = ctypes.c_void_p()
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config = bytes(json.dumps({"missing": missing, "nthread": nthread}), "utf-8")
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_check_call(
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_LIB.XGDMatrixCreateFromArrayInterface(
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_LIB.XGDMatrixCreateFromCudaArrayInterface(
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interface_str,
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ctypes.c_float(missing),
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ctypes.c_int(nthread),
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config,
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ctypes.byref(handle)))
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return handle, feature_names, feature_types
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@ -169,19 +169,17 @@ XGB_DLL int XGDMatrixCreateFromDataIter(
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}
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#ifndef XGBOOST_USE_CUDA
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XGB_DLL int XGDMatrixCreateFromArrayInterfaceColumns(char const* c_json_strs,
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bst_float missing,
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int nthread,
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DMatrixHandle* out) {
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XGB_DLL int XGDMatrixCreateFromCudaColumnar(char const *data,
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char const* c_json_config,
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DMatrixHandle *out) {
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API_BEGIN();
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common::AssertGPUSupport();
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API_END();
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}
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XGB_DLL int XGDMatrixCreateFromArrayInterface(char const* c_json_strs,
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bst_float missing,
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int nthread,
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DMatrixHandle* out) {
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XGB_DLL int XGDMatrixCreateFromCudaArrayInterface(char const *data,
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char const* c_json_config,
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DMatrixHandle *out) {
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API_BEGIN();
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common::AssertGPUSupport();
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API_END();
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@ -26,23 +26,28 @@ void XGBoostAPIGuard::RestoreGPUAttribute() {
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using namespace xgboost; // NOLINT
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XGB_DLL int XGDMatrixCreateFromArrayInterfaceColumns(char const* c_json_strs,
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bst_float missing,
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int nthread,
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DMatrixHandle* out) {
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XGB_DLL int XGDMatrixCreateFromCudaColumnar(char const *data,
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char const* c_json_config,
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DMatrixHandle *out) {
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API_BEGIN();
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std::string json_str{c_json_strs};
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std::string json_str{data};
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auto config = Json::Load(StringView{c_json_config});
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float missing = GetMissing(config);
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auto nthread = get<Integer const>(config["nthread"]);
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data::CudfAdapter adapter(json_str);
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*out =
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new std::shared_ptr<DMatrix>(DMatrix::Create(&adapter, missing, nthread));
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API_END();
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}
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XGB_DLL int XGDMatrixCreateFromArrayInterface(char const* c_json_strs,
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bst_float missing, int nthread,
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DMatrixHandle* out) {
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XGB_DLL int XGDMatrixCreateFromCudaArrayInterface(char const *data,
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char const* c_json_config,
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DMatrixHandle *out) {
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API_BEGIN();
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std::string json_str{c_json_strs};
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std::string json_str{data};
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auto config = Json::Load(StringView{c_json_config});
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float missing = GetMissing(config);
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auto nthread = get<Integer const>(config["nthread"]);
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data::CupyAdapter adapter(json_str);
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*out =
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new std::shared_ptr<DMatrix>(DMatrix::Create(&adapter, missing, nthread));
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