Program Listing for File tensor_memory.cpp
↰ Return to documentation for file (morpheus/_lib/src/messages/memory/tensor_memory.cpp
)
/*
* SPDX-FileCopyrightText: Copyright (c) 2021-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
* SPDX-License-Identifier: Apache-2.0
*
* Licensed 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 "morpheus/messages/memory/tensor_memory.hpp" // IWYU pragma: associated
#include "morpheus/objects/tensor_object.hpp" // for TensorObject
#include "morpheus/utilities/cupy_util.hpp" // for CupyUtil
#include "morpheus/utilities/stage_util.hpp"
#include "morpheus/utilities/string_util.hpp" // for MORPHEUS_CONCAT_STR
#include <pybind11/cast.h>
#include <pybind11/pytypes.h> // for attribute_error, key_error
#include <pybind11/stl.h> // IWYU pragma: keep
#include <map>
#include <sstream> // needed by MORPHEUS_CONCAT_STR
#include <stdexcept> // for std::length_error
#include <string>
#include <utility> // for move, pair
#include <vector>
// IWYU pragma: no_include
namespace morpheus {
/****** Component public implementations *******************/
/****** TensorMemory****************************************/
TensorMemory::TensorMemory(TensorIndex count) : count(count) {}
TensorMemory::TensorMemory(TensorIndex count, TensorMap&& tensors) : count(count), m_tensors(std::move(tensors))
{
check_tensors_length(this->m_tensors);
}
bool TensorMemory::has_tensor(const std::string& name) const
{
return this->m_tensors.find(name) != this->m_tensors.end();
}
const TensorObject& TensorMemory::get_tensor(const std::string& name) const
{
verify_tensor_exists(name);
return m_tensors.at(name);
}
TensorObject& TensorMemory::get_tensor(const std::string& name)
{
verify_tensor_exists(name);
return m_tensors[name];
}
void TensorMemory::set_tensor(const std::string& name, TensorObject&& tensor)
{
check_tensor_length(tensor);
this->m_tensors[name].swap(std::move(tensor));
}
const TensorMap& TensorMemory::get_tensors() const
{
return m_tensors;
}
void TensorMemory::set_tensors(TensorMap&& tensors)
{
check_tensors_length(tensors);
this->m_tensors = std::move(tensors);
}
TensorMap TensorMemory::copy_tensor_ranges(const std::vector<RangeType>& ranges, TensorIndex num_selected_rows) const
{
TensorMap tensors;
for (const auto& p : this->m_tensors)
{
tensors.insert(std::pair{p.first, p.second.copy_rows(ranges, num_selected_rows)});
}
return tensors;
}
void TensorMemory::check_tensor_length(const TensorObject& tensor)
{
if (tensor.shape(0) != this->count)
{
throw std::length_error{MORPHEUS_CONCAT_STR("The number rows in tensor "
<< tensor.shape(0) << " does not match TensorMemory.count of "
<< this->count)};
}
}
void TensorMemory::check_tensors_length(const TensorMap& tensors)
{
for (const auto& p : tensors)
{
check_tensor_length(p.second);
}
}
void TensorMemory::verify_tensor_exists(const std::string& name) const
{
if (!has_tensor(name))
{
throw std::runtime_error(MORPHEUS_CONCAT_STR("Tensor: '" << name << "' not found in memory"));
}
}
/****** TensorMemoryInterfaceProxy *************************/
std::shared_ptr<TensorMemory> TensorMemoryInterfaceProxy::init(TensorIndex count, pybind11::object& tensors)
{
if (tensors.is_none())
{
return std::make_shared<TensorMemory>(count);
}
else
{
return std::make_shared<TensorMemory>(
count, std::move(CupyUtil::cupy_to_tensors(tensors.cast<CupyUtil::py_tensor_map_t>())));
}
}
TensorIndex TensorMemoryInterfaceProxy::get_count(TensorMemory& self)
{
return self.count;
}
std::vector<std::string> TensorMemoryInterfaceProxy::tensor_names_getter(TensorMemory& self)
{
return foreach_map(self.get_tensors(), [](const auto& item) -> std::string {
// Just return the keys
return item.first;
});
}
bool TensorMemoryInterfaceProxy::has_tensor(TensorMemory& self, std::string name)
{
return self.has_tensor(name);
}
CupyUtil::py_tensor_map_t TensorMemoryInterfaceProxy::get_tensors(TensorMemory& self)
{
return CupyUtil::tensors_to_cupy(self.get_tensors());
}
void TensorMemoryInterfaceProxy::set_tensors(TensorMemory& self, CupyUtil::py_tensor_map_t tensors)
{
self.set_tensors(CupyUtil::cupy_to_tensors(tensors));
}
pybind11::object TensorMemoryInterfaceProxy::get_tensor(TensorMemory& self, const std::string name)
{
try
{
auto tensor = self.get_tensor(name);
return CupyUtil::tensor_to_cupy(tensor);
} catch (const std::runtime_error& e)
{
throw pybind11::key_error{e.what()};
}
}
pybind11::object TensorMemoryInterfaceProxy::get_tensor_property(TensorMemory& self, const std::string name)
{
try
{
return get_tensor(self, std::move(name));
} catch (const pybind11::key_error& e)
{
throw pybind11::attribute_error{e.what()};
}
}
void TensorMemoryInterfaceProxy::set_tensor(TensorMemory& self,
const std::string name,
const pybind11::object& cupy_tensor)
{
self.set_tensor(name, CupyUtil::cupy_to_tensor(cupy_tensor));
}
} // namespace morpheus