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/*
* Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved
*
* 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.
*/
/*
* Copyright (c) 2017 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to
* deal in the Software without restriction, including without limitation the
* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
* sell copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#include "arm_compute/core/CL/kernels/CLHashtableLookupKernel.h"
#include "arm_compute/core/CL/CLHelpers.h"
#include "arm_compute/core/CL/CLKernelLibraryEx.h"
#include "arm_compute/core/CL/ICLTensor.h"
#include "support/StringSupport.h"
using namespace arm_compute;
namespace
{
constexpr unsigned int num_elems_processed_per_iteration = 16;
std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input, ITensorInfo *output)
{
Window win = calculate_max_window(*output, Steps(num_elems_processed_per_iteration));
AccessWindowHorizontal input_access(input, 0, num_elems_processed_per_iteration);
AccessWindowHorizontal output_access(output, 0, num_elems_processed_per_iteration);
bool window_changed = update_window_and_padding(win, input_access, output_access);
input_access.set_valid_region(win, output->valid_region());
Status err = (window_changed)
? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!")
: Status{};
return std::make_pair(err, win);
}
} // namespace
CLHashtableLookupKernel::CLHashtableLookupKernel()
{
// DO NOTHING
}
Status CLHashtableLookupKernel::validate(const ITensorInfo *lookups, const ITensorInfo *keys,
const ITensorInfo *input, const ITensorInfo *output,
const ITensorInfo *hits)
{
ARM_COMPUTE_ERROR_ON_NULLPTR(lookups, keys, input, output, hits);
ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(
input, 1, DataType::U8, DataType::S8, DataType::QASYMM8, DataType::U16, DataType::S16,
DataType::U32, DataType::S32, DataType::F16, DataType::F32);
ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(lookups, 1, DataType::S32);
ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(keys, 1, DataType::S32);
ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(hits, 1, DataType::U8, DataType::QASYMM8);
ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(input, output);
ARM_COMPUTE_RETURN_ERROR_ON_MSG(output->tensor_shape().total_size() == 0,
"Output's shape was not set");
ARM_COMPUTE_ERROR_ON(lookups->dimension(0) != hits->dimension(0) ||
output->dimension(output->num_dimensions() - 1) != lookups->dimension(0));
ARM_COMPUTE_ERROR_ON(input->num_dimensions() < 2 && input->num_dimensions() > 4);
ARM_COMPUTE_ERROR_ON(lookups->num_dimensions() > 1);
ARM_COMPUTE_ERROR_ON(keys->num_dimensions() > 1);
ARM_COMPUTE_ERROR_ON(hits->num_dimensions() > 1);
return Status{};
}
void CLHashtableLookupKernel::configure(const ICLTensor *lookups, const ICLTensor *keys,
const ICLTensor *input, ICLTensor *output, ICLTensor *hits)
{
ARM_COMPUTE_ERROR_THROW_ON(
validate(lookups->info(), keys->info(), input->info(), output->info(), hits->info()));
_lookups = lookups;
_keys = keys;
_input = input;
_output = output;
_hits = hits;
// Make _lookup_indices tensor
_lookup_indices = support::cpp14::make_unique<CLTensor>();
_lookup_indices->allocator()->init(
TensorInfo(lookups->info()->tensor_shape(), lookups->info()->num_channels(), DataType::S32));
_lookup_indices->allocator()->allocate();
// Set kernel build options
std::stringstream kernel_name;
std::set<std::string> build_opts;
kernel_name << "hashtable_lookup";
build_opts.emplace("-DDEPTH_OUT=" + support::cpp11::to_string(output->info()->dimension(2)));
build_opts.emplace("-DDATA_TYPE=" + get_cl_type_from_data_type(input->info()->data_type()));
build_opts.emplace("-DVEC_SIZE=" + support::cpp11::to_string(num_elems_processed_per_iteration));
build_opts.emplace("-DNUM_DIMS=" + support::cpp11::to_string(_input->info()->num_dimensions()));
// Create kernel
_kernel = static_cast<cl::Kernel>(
CLKernelLibraryEx::get().create_kernel(kernel_name.str(), build_opts));
// Configure kernel window
auto win_config = validate_and_configure_window(input->info(), output->info());
ARM_COMPUTE_ERROR_THROW_ON(win_config.first);
ICLKernel::configure_internal(win_config.second);
}
void CLHashtableLookupKernel::run(const Window &window, cl::CommandQueue &queue)
{
ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(IKernel::window(), window);
const_cast<ICLTensor *>(_lookups)->map(queue);
const_cast<ICLTensor *>(_keys)->map(queue);
_hits->map(queue);
_lookup_indices->map(queue);
// Set values of hits
const int32_t *lookups_buf =
reinterpret_cast<int32_t *>(const_cast<ICLTensor *>(_lookups)->buffer());
const int32_t *keys_buf = reinterpret_cast<int32_t *>(const_cast<ICLTensor *>(_keys)->buffer());
uint8_t *hits_buf = reinterpret_cast<uint8_t *>(_hits->buffer());
int32_t *lookup_indices_buf = reinterpret_cast<int32_t *>(_lookup_indices->buffer());
std::map<int32_t, size_t> key_map;
const size_t keys_num = _keys->info()->dimension(0);
for (size_t key_index = 0; key_index < keys_num; key_index++)
{
key_map[keys_buf[key_index]] = key_index;
}
const size_t lookups_num = _lookups->info()->dimension(0);
for (size_t i = 0; i < lookups_num; ++i)
{
const auto lookup_value = lookups_buf[i];
const auto it = key_map.find(lookup_value);
if (it != key_map.end())
{
#if defined(ARM_COMPUTE_DEBUG_ENABLED)
if (it->second >= lookups_num)
ARM_COMPUTE_ERROR("HashTable Lookup: index out of bounds.");
#endif // defined(ARM_COMPUTE_DEBUG_ENABLED)
lookup_indices_buf[i] = static_cast<int32_t>(it->second);
hits_buf[i] = static_cast<uint8_t>(1);
}
else
{
lookup_indices_buf[i] = -1;
hits_buf[i] = static_cast<uint8_t>(0);
}
}
const_cast<ICLTensor *>(_lookups)->unmap(queue);
const_cast<ICLTensor *>(_keys)->unmap(queue);
_hits->unmap(queue);
_lookup_indices->unmap(queue);
Window win = window.collapse(ICLKernel::window(), 2, 4);
Window win_lookup;
win_lookup.set(Window::DimX, Window::Dimension(0, 0, 0));
do
{
unsigned int idx = 0;
add_4D_tensor_argument(idx, _input, win);
add_4D_tensor_argument(idx, _output, win);
add_1D_tensor_argument(idx, _lookup_indices.get(), win_lookup);
enqueue(queue, *this, win);
} while (window.slide_window_slice_4D(win) && window.slide_window_slice_1D(win_lookup));
}
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