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/*
* BSD 2-Clause License
*
* Copyright (c) 2021-2024, Hewlett Packard Enterprise
* All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
*
* 1. Redistributions of source code must retain the above copyright notice, this
* list of conditions and the following disclaimer.
*
* 2. Redistributions in binary form must reproduce the above copyright notice,
* this list of conditions and the following disclaimer in the documentation
* and/or other materials provided with the distribution.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
* AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
* DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
* FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
* DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
* SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
* CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
* OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
#include "gettensorcommand.h"
#include "redisserver.h"
#include "srexception.h"
using namespace SmartRedis;
const size_t num_elements = 2;
const size_t num_fields = 6;
const int type_idx = 1;
const int dims_idx = 3;
const int blob_idx = 5;
// Run GetTensorCommand on the server
CommandReply GetTensorCommand::run_me(RedisServer* server)
{
return server->run(*this);
}
// Returns a filled vector with the dimensions of the tensor
std::vector<size_t> GetTensorCommand::get_dims(CommandReply& reply)
{
if (reply.n_elements() < num_fields) {
throw SRRuntimeException("The message does not have the "\
"correct number of fields");
}
size_t n_dims = reply[dims_idx].n_elements();
std::vector<size_t> dims(n_dims);
for (size_t i = 0; i < n_dims; i++) {
dims[i] = reply[dims_idx][i].integer();
}
return dims;
}
// Returns a string of the tensor type
SRTensorType GetTensorCommand::get_data_type(CommandReply& reply)
{
if (reply.n_elements() < num_elements) {
throw SRRuntimeException("The message does not have the correct "\
"number of fields");
}
return TENSOR_TYPE_MAP.at(std::string(reply[type_idx].str(),
reply[type_idx].str_len()));
}
// Returns a string view of the data tensor blob value
std::string_view GetTensorCommand::get_data_blob(CommandReply& reply)
{
if (reply.n_elements() < num_fields) {
throw SRRuntimeException("The message does not have the "\
"correct number of fields");
}
return std::string_view(reply[blob_idx].str(), reply[blob_idx].str_len());
}