84 lines
3.0 KiB
C++
84 lines
3.0 KiB
C++
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// ======================================================================== //
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// Copyright 2009-2019 Intel Corporation //
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// //
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// Licensed under the Apache License, Version 2.0 (the "License"); //
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// you may not use this file except in compliance with the License. //
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// You may obtain a copy of the License at //
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// //
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// http://www.apache.org/licenses/LICENSE-2.0 //
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// //
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// Unless required by applicable law or agreed to in writing, software //
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// distributed under the License is distributed on an "AS IS" BASIS, //
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. //
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// See the License for the specific language governing permissions and //
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// limitations under the License. //
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// ======================================================================== //
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#include "exception.h"
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#include "tensor.h"
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namespace oidn {
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std::map<std::string, Tensor> parseTensors(void* buffer)
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{
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char* input = (char*)buffer;
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// Parse the magic value
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const int magic = *(unsigned short*)input;
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if (magic != 0x41D7)
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throw Exception(Error::InvalidOperation, "invalid tensor archive");
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input += sizeof(unsigned short);
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// Parse the version
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const int majorVersion = *(unsigned char*)input++;
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const int minorVersion = *(unsigned char*)input++;
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UNUSED(minorVersion);
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if (majorVersion > 1)
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throw Exception(Error::InvalidOperation, "unsupported tensor archive version");
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// Parse the number of tensors
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const int numTensors = *(int*)input;
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input += sizeof(int);
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// Parse the tensors
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std::map<std::string, Tensor> tensorMap;
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for (int i = 0; i < numTensors; ++i)
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{
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Tensor tensor;
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// Parse the name
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const int nameLen = *(unsigned char*)input++;
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std::string name(input, nameLen);
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input += nameLen;
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// Parse the number of dimensions
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const int ndims = *(unsigned char*)input++;
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// Parse the shape of the tensor
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tensor.dims.resize(ndims);
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for (int i = 0; i < ndims; ++i)
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tensor.dims[i] = ((int*)input)[i];
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input += ndims * sizeof(int);
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// Parse the format of the tensor
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tensor.format = std::string(input, input + ndims);
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input += ndims;
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// Parse the data type of the tensor
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const char type = *(unsigned char*)input++;
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if (type != 'f') // only float32 is supported
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throw Exception(Error::InvalidOperation, "unsupported tensor data type");
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// Skip the data
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tensor.data = (float*)input;
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input += tensor.size() * sizeof(float);
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// Add the tensor to the map
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tensorMap.emplace(name, std::move(tensor));
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}
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return tensorMap;
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}
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} // namespace oidn
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