Program Listing for File tensor_memory.cpp

            

            
/*
* SPDX-FileCopyrightText: Copyright (c) 2021-2024, 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/pybind11.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 <type_traits>

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