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// Licensed to the Apache Software Foundation (ASF) under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use this file except in compliance
// with the License. You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing,
// software distributed under the License is distributed on an
// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
// KIND, either express or implied. See the License for the
// specific language governing permissions and limitations
// under the License.
#include "contrib/libs/apache/arrow_next/cpp/src/arrow/c/dlpack.h"
#include "contrib/libs/apache/arrow_next/cpp/src/arrow/array/array_base.h"
#include "contrib/libs/apache/arrow_next/cpp/src/arrow/c/dlpack_abi.h"
#include "contrib/libs/apache/arrow_next/cpp/src/arrow/device.h"
#include "contrib/libs/apache/arrow_next/cpp/src/arrow/type.h"
#include "contrib/libs/apache/arrow_next/cpp/src/arrow/type_traits.h"
namespace arrow20::dlpack {
namespace {
Result<DLDataType> GetDLDataType(const DataType& type) {
DLDataType dtype;
dtype.lanes = 1;
dtype.bits = type.bit_width();
switch (type.id()) {
case Type::INT8:
case Type::INT16:
case Type::INT32:
case Type::INT64:
dtype.code = DLDataTypeCode::kDLInt;
return dtype;
case Type::UINT8:
case Type::UINT16:
case Type::UINT32:
case Type::UINT64:
dtype.code = DLDataTypeCode::kDLUInt;
return dtype;
case Type::HALF_FLOAT:
case Type::FLOAT:
case Type::DOUBLE:
dtype.code = DLDataTypeCode::kDLFloat;
return dtype;
case Type::BOOL:
// DLPack supports byte-packed boolean values
return Status::TypeError("Bit-packed boolean data type not supported by DLPack.");
default:
return Status::TypeError("DataType is not compatible with DLPack spec: ",
type.ToString());
}
}
struct ManagerCtx {
std::shared_ptr<ArrayData> array;
DLManagedTensor tensor;
};
} // namespace
Result<DLManagedTensor*> ExportArray(const std::shared_ptr<Array>& arr) {
// Define DLDevice struct nad check if array type is supported
// by the DLPack protocol at the same time. Raise TypeError if not.
// Supported data types: int, uint, float with no validity buffer.
ARROW_ASSIGN_OR_RAISE(auto device, ExportDevice(arr))
// Define the DLDataType struct
const DataType& type = *arr->type();
std::shared_ptr<ArrayData> data = arr->data();
ARROW_ASSIGN_OR_RAISE(auto dlpack_type, GetDLDataType(type));
// Create ManagerCtx that will serve as the owner of the DLManagedTensor
std::unique_ptr<ManagerCtx> ctx(new ManagerCtx);
// Define the data pointer to the DLTensor
// If array is of length 0, data pointer should be NULL
if (arr->length() == 0) {
ctx->tensor.dl_tensor.data = NULL;
} else {
const auto data_offset = data->offset * type.byte_width();
ctx->tensor.dl_tensor.data =
const_cast<uint8_t*>(data->buffers[1]->data() + data_offset);
}
ctx->tensor.dl_tensor.device = device;
ctx->tensor.dl_tensor.ndim = 1;
ctx->tensor.dl_tensor.dtype = dlpack_type;
ctx->tensor.dl_tensor.shape = const_cast<int64_t*>(&data->length);
ctx->tensor.dl_tensor.strides = NULL;
ctx->tensor.dl_tensor.byte_offset = 0;
ctx->array = std::move(data);
ctx->tensor.manager_ctx = ctx.get();
ctx->tensor.deleter = [](struct DLManagedTensor* self) {
delete reinterpret_cast<ManagerCtx*>(self->manager_ctx);
};
return &ctx.release()->tensor;
}
Result<DLDevice> ExportDevice(const std::shared_ptr<Array>& arr) {
// Check if array is supported by the DLPack protocol.
if (arr->null_count() > 0) {
return Status::TypeError("Can only use DLPack on arrays with no nulls.");
}
const DataType& type = *arr->type();
if (type.id() == Type::BOOL) {
return Status::TypeError("Bit-packed boolean data type not supported by DLPack.");
}
if (!is_integer(type.id()) && !is_floating(type.id())) {
return Status::TypeError("DataType is not compatible with DLPack spec: ",
type.ToString());
}
// Define DLDevice struct
DLDevice device;
if (arr->data()->buffers[1]->device_type() == DeviceAllocationType::kCPU) {
device.device_id = 0;
device.device_type = DLDeviceType::kDLCPU;
return device;
} else {
return Status::NotImplemented(
"DLPack support is implemented only for buffers on CPU device.");
}
}
} // namespace arrow20::dlpack
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