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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.
*/
#include "AclArtifact.h"
#include <iostream>
#include <memory>
#include <H5Cpp.h>
using namespace std;
using namespace arm_compute;
static unique_ptr<char[]> getTensorData(CLTensor &tensor)
{
auto buf = unique_ptr<char[]>(new char[tensor.info()->total_size()]);
tensor.map();
Window window;
window.use_tensor_dimensions(tensor.info()->tensor_shape());
Iterator i(&tensor, window);
char *ptr = &buf[0];
execute_window_loop(window,
[&i, &ptr](const Coordinates &) {
memcpy(ptr, i.ptr(), sizeof(float));
ptr += sizeof(float);
},
i);
tensor.unmap();
return buf;
}
static void readTensor(CLTensor &tensor, H5::DataSet &dataset)
{
auto buf = unique_ptr<char[]>(new char[tensor.info()->total_size()]);
dataset.read(&buf[0], H5::PredType::NATIVE_FLOAT);
tensor.map();
Window window;
window.use_tensor_dimensions(tensor.info()->tensor_shape());
Iterator i(&tensor, window);
char *ptr = &buf[0];
execute_window_loop(window,
[&i, &ptr](const Coordinates &) {
memcpy(i.ptr(), ptr, sizeof(float));
ptr += sizeof(float);
},
i);
tensor.unmap();
}
static bool readTensorFromHDF5File(CLTensor &tensor, const string &file_name)
{
// Read from the .hdf5 file
try
{
H5::H5File h5File(file_name, H5F_ACC_RDONLY);
auto tensor_name = h5File.getObjnameByIdx(0);
auto dataset = h5File.openDataSet(tensor_name);
auto dataspace = dataset.getSpace();
auto rank = dataspace.getSimpleExtentNdims();
if (rank < 2)
return false;
hsize_t dims[rank];
if (dataspace.getSimpleExtentDims(dims) != rank)
return false;
TensorShape shape;
shape.set_num_dimensions(rank - 1);
for (int i = 1; i < rank; ++i)
shape[rank - i - 1] = dims[i];
readTensor(tensor, dataset);
}
catch (H5::FileIException &)
{
return false;
}
return true;
}
static void writeTensorToHDF5File(CLTensor &tensor, const string &tensor_name,
const string &file_name)
{
const TensorShape &orig_shape = tensor.info()->tensor_shape();
const TensorShape &transposed_shape = orig_shape;
int rank = transposed_shape.num_dimensions();
hsize_t dims[rank + 1];
dims[0] = 1;
for (int i = 0; i < rank; ++i)
dims[rank - i] = transposed_shape[i];
// Write to the .hdf5 file
H5::H5File h5File(file_name, H5F_ACC_TRUNC);
H5::DataSpace dataspace(rank + 1, dims);
auto dataset = h5File.createDataSet(tensor_name, H5::PredType::IEEE_F32BE, dataspace);
dataset.write(&getTensorData(tensor)[0], H5::PredType::NATIVE_FLOAT);
}
int main(int argc, char *argv[])
{
CLScheduler::get().default_init();
if (!CLScheduler::get().is_initialised())
{
cout << "Failed to initialise the ACL scheduler" << endl;
return 1;
}
AclArtifact artifact;
CLTensor &artifact_in = artifact.getInput();
readTensorFromHDF5File(artifact_in, "in.hdf5");
artifact.Inference();
CLTensor &artifact_out = artifact.getOutput();
writeTensorToHDF5File(artifact_out, "out", "out.hdf5");
return 0;
}
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