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Merge ../Marian.hieu
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commit
6ea3bb8043
@ -59,23 +59,29 @@ inline std::vector<T> Tokenize( const std::string &input
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void Tensor::Load(const std::string &path)
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void Tensor::Load(const std::string &path)
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{
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{
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size_t totSize = std::accumulate(pimpl_->shape().begin(), pimpl_->shape().end(),
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1, std::multiplies<int>());
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cerr << "totSize=" << totSize << endl;
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std::vector<float> hostData(totSize);
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fstream strm;
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fstream strm;
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strm.open(path.c_str());
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strm.open(path.c_str());
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size_t lineNum = 0;
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string line;
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string line;
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size_t ind = 0;
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while ( getline (strm, line) )
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while ( getline (strm, line) )
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{
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{
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cerr << line << '\n';
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cerr << line << '\n';
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vector<Float> toks = Tokenize<Float>(line);
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vector<Float> toks = Tokenize<Float>(line);
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for (size_t i = 0; i < toks.size(); ++i) {
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for (size_t i = 0; i < toks.size(); ++i) {
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pimpl_->set(toks[i], lineNum, i);
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hostData[ind] = toks[i];
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}
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}
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++lineNum;
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++ind;
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}
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}
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strm.close();
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strm.close();
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}
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}
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}
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}
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@ -152,10 +152,8 @@ class TensorImpl {
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thrust::fill(data_.begin(), data_.end(), value);
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thrust::fill(data_.begin(), data_.end(), value);
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}
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}
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void set(value_type value, size_t x, size_t y) {
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void set(const std::vector<Float> &values) {
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assert(shape().size() == 2);
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thrust::copy(values.begin(), values.end(), data_.begin());
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size_t sizeRow = sizeof(Float) * shape()[1];
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data_[x + sizeRow * y] = value;
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}
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}
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std::string Debug() const
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std::string Debug() const
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