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// Copyright (c) 2021, ARM Limited.
//
// 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 <getopt.h>
#include <iostream>
#include <random>
#include <sstream>
#include <tosa_serialization_handler.h>
using namespace tosa;
void usage()
{
std::cout << "Usage: serialization_npy_test -f <filename> -t <shape> -d <datatype> -s <seed>" << std::endl;
}
template <class T>
int test_int_type(std::vector<int32_t> shape, std::default_random_engine& gen, std::string& filename)
{
size_t total_size = 1;
std::uniform_int_distribution<T> gen_data(std::numeric_limits<T>::min(), std::numeric_limits<T>::max());
for (auto i : shape)
{
total_size *= i;
}
auto buffer = std::make_unique<T[]>(total_size);
for (int i = 0; i < total_size; i++)
{
buffer[i] = gen_data(gen);
}
NumpyUtilities::NPError err = NumpyUtilities::writeToNpyFile(filename.c_str(), shape, buffer.get());
if (err != NumpyUtilities::NO_ERROR)
{
std::cout << "Error writing file, code " << err << std::endl;
return 1;
}
auto read_buffer = std::make_unique<T[]>(total_size);
err = NumpyUtilities::readFromNpyFile(filename.c_str(), total_size, read_buffer.get());
if (err != NumpyUtilities::NO_ERROR)
{
std::cout << "Error reading file, code " << err << std::endl;
return 1;
}
if (memcmp(buffer.get(), read_buffer.get(), total_size * sizeof(T)))
{
std::cout << "Miscompare" << std::endl;
return 1;
}
return 0;
}
template <class T>
int test_float_type(std::vector<int32_t> shape, std::default_random_engine& gen, std::string& filename)
{
size_t total_size = 1;
std::uniform_real_distribution<T> gen_data(std::numeric_limits<T>::min(), std::numeric_limits<T>::max());
for (auto i : shape)
{
total_size *= i;
}
auto buffer = std::make_unique<T[]>(total_size);
for (int i = 0; i < total_size; i++)
{
buffer[i] = gen_data(gen);
}
NumpyUtilities::NPError err = NumpyUtilities::writeToNpyFile(filename.c_str(), shape, buffer.get());
if (err != NumpyUtilities::NO_ERROR)
{
std::cout << "Error writing file, code " << err << std::endl;
return 1;
}
auto read_buffer = std::make_unique<T[]>(total_size);
err = NumpyUtilities::readFromNpyFile(filename.c_str(), total_size, read_buffer.get());
if (err != NumpyUtilities::NO_ERROR)
{
std::cout << "Error reading file, code " << err << std::endl;
return 1;
}
if (memcmp(buffer.get(), read_buffer.get(), total_size * sizeof(T)))
{
std::cout << "Miscompare" << std::endl;
return 1;
}
return 0;
}
int test_bool_type(std::vector<int32_t> shape, std::default_random_engine& gen, std::string& filename)
{
size_t total_size = 1;
std::uniform_int_distribution<uint32_t> gen_data(0, 1);
for (auto i : shape)
{
total_size *= i;
}
auto buffer = std::make_unique<bool[]>(total_size);
for (int i = 0; i < total_size; i++)
{
buffer[i] = (gen_data(gen)) ? true : false;
}
NumpyUtilities::NPError err = NumpyUtilities::writeToNpyFile(filename.c_str(), shape, buffer.get());
if (err != NumpyUtilities::NO_ERROR)
{
std::cout << "Error writing file, code " << err << std::endl;
return 1;
}
auto read_buffer = std::make_unique<bool[]>(total_size);
err = NumpyUtilities::readFromNpyFile(filename.c_str(), total_size, read_buffer.get());
if (err != NumpyUtilities::NO_ERROR)
{
std::cout << "Error reading file, code " << err << std::endl;
return 1;
}
if (memcmp(buffer.get(), read_buffer.get(), total_size * sizeof(bool)))
{
std::cout << "Miscompare" << std::endl;
return 1;
}
return 0;
}
int main(int argc, char** argv)
{
size_t total_size = 1;
int32_t seed = 1;
std::string str_type;
std::string str_shape;
std::string filename = "npytest.npy";
std::vector<int32_t> shape;
bool verbose = false;
int opt;
while ((opt = getopt(argc, argv, "d:f:s:t:v")) != -1)
{
switch (opt)
{
case 'd':
str_type = optarg;
break;
case 'f':
filename = optarg;
break;
case 's':
seed = strtol(optarg, nullptr, 0);
break;
case 't':
str_shape = optarg;
break;
case 'v':
verbose = true;
break;
default:
std::cerr << "Invalid argument" << std::endl;
break;
}
}
if (str_shape == "")
{
usage();
return 1;
}
// parse shape from argument
std::stringstream ss(str_shape);
while (ss.good())
{
std::string substr;
size_t pos;
std::getline(ss, substr, ',');
if (substr == "")
break;
int val = stoi(substr, &pos, 0);
assert(val);
total_size *= val;
shape.push_back(val);
}
std::default_random_engine gen(seed);
// run with type from argument
if (str_type == "int32")
{
return test_int_type<int32_t>(shape, gen, filename);
}
else if (str_type == "int64")
{
return test_int_type<int64_t>(shape, gen, filename);
}
else if (str_type == "float")
{
return test_float_type<float>(shape, gen, filename);
}
else if (str_type == "bool")
{
return test_bool_type(shape, gen, filename);
}
else
{
std::cout << "Unknown type " << str_type << std::endl;
usage();
return 1;
}
}
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