mirror of
https://github.com/marian-nmt/marian.git
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Add NPZ Converter
This commit is contained in:
parent
8047efa8d9
commit
ef6246bad2
@ -3,6 +3,7 @@ include_directories(.)
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add_library(libcommon OBJECT
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exception.cpp
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cnpy/cnpy.cpp
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)
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cuda_add_executable(
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@ -14,7 +15,25 @@ cuda_add_executable(
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$<TARGET_OBJECTS:libcommon>
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)
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foreach(exec marian)
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cuda_add_executable(
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train_mnist
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train_mnist.cu
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expressions.cu
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tensor_operators.cu
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tensor.cu
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$<TARGET_OBJECTS:libcommon>
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)
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cuda_add_executable(
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validate_mnist
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validate_mnist.cu
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expressions.cu
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tensor_operators.cu
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tensor.cu
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$<TARGET_OBJECTS:libcommon>
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)
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foreach(exec marian train_mnist validate_mnist)
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target_link_libraries(${exec} ${EXT_LIBS} cuda cudnn)
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cuda_add_cublas_to_target(${exec})
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set_target_properties(${exec} PROPERTIES RUNTIME_OUTPUT_DIRECTORY "${CMAKE_BINARY_DIR}")
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21
src/cnpy/LICENSE
Normal file
21
src/cnpy/LICENSE
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@ -0,0 +1,21 @@
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The MIT License
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Copyright (c) Carl Rogers, 2011
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in
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all copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
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THE SOFTWARE.
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251
src/cnpy/cnpy.cpp
Normal file
251
src/cnpy/cnpy.cpp
Normal file
@ -0,0 +1,251 @@
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//Copyright (C) 2011 Carl Rogers
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//Released under MIT License
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//license available in LICENSE file, or at http://www.opensource.org/licenses/mit-license.php
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#include"cnpy.h"
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#include<complex>
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#include<cstdlib>
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#include<algorithm>
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#include<cstring>
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#include<iomanip>
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char cnpy::BigEndianTest() {
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unsigned char x[] = {1,0};
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short y = *(short*) x;
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return y == 1 ? '<' : '>';
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}
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char cnpy::map_type(const std::type_info& t)
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{
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if(t == typeid(float) ) return 'f';
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if(t == typeid(double) ) return 'f';
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if(t == typeid(long double) ) return 'f';
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if(t == typeid(int) ) return 'i';
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if(t == typeid(char) ) return 'i';
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if(t == typeid(short) ) return 'i';
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if(t == typeid(long) ) return 'i';
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if(t == typeid(long long) ) return 'i';
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if(t == typeid(unsigned char) ) return 'u';
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if(t == typeid(unsigned short) ) return 'u';
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if(t == typeid(unsigned long) ) return 'u';
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if(t == typeid(unsigned long long) ) return 'u';
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if(t == typeid(unsigned int) ) return 'u';
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if(t == typeid(bool) ) return 'b';
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if(t == typeid(std::complex<float>) ) return 'c';
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if(t == typeid(std::complex<double>) ) return 'c';
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if(t == typeid(std::complex<long double>) ) return 'c';
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else return '?';
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}
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template<> std::vector<char>& cnpy::operator+=(std::vector<char>& lhs, const std::string rhs) {
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lhs.insert(lhs.end(),rhs.begin(),rhs.end());
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return lhs;
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}
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template<> std::vector<char>& cnpy::operator+=(std::vector<char>& lhs, const char* rhs) {
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//write in little endian
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size_t len = strlen(rhs);
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lhs.reserve(len);
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for(size_t byte = 0; byte < len; byte++) {
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lhs.push_back(rhs[byte]);
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}
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return lhs;
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}
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void cnpy::parse_npy_header(FILE* fp, unsigned int& word_size, unsigned int*& shape, unsigned int& ndims, bool& fortran_order) {
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char buffer[256];
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size_t res = fread(buffer,sizeof(char),11,fp);
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if(res != 11)
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throw std::runtime_error("parse_npy_header: failed fread");
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std::string header = fgets(buffer,256,fp);
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assert(header[header.size()-1] == '\n');
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int loc1, loc2;
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//fortran order
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loc1 = header.find("fortran_order")+16;
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fortran_order = (header.substr(loc1,5) == "True" ? true : false);
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//shape
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loc1 = header.find("(");
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loc2 = header.find(")");
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std::string str_shape = header.substr(loc1+1,loc2-loc1-1);
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if(str_shape.length() == 0) ndims = 0;
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else if(str_shape[str_shape.size()-1] == ',') ndims = 1;
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else ndims = std::count(str_shape.begin(),str_shape.end(),',')+1;
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shape = new unsigned int[ndims];
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for(unsigned int i = 0;i < ndims;i++) {
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loc1 = str_shape.find(",");
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shape[i] = atoi(str_shape.substr(0,loc1).c_str());
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str_shape = str_shape.substr(loc1+1);
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}
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//endian, word size, data type
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//byte order code | stands for not applicable.
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//not sure when this applies except for byte array
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loc1 = header.find("descr")+9;
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bool littleEndian = (header[loc1] == '<' || header[loc1] == '|' ? true : false);
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assert(littleEndian);
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//char type = header[loc1+1];
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//assert(type == map_type(T));
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std::string str_ws = header.substr(loc1+2);
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loc2 = str_ws.find("'");
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word_size = atoi(str_ws.substr(0,loc2).c_str());
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}
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void cnpy::parse_zip_footer(FILE* fp, unsigned short& nrecs, unsigned int& global_header_size, unsigned int& global_header_offset)
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{
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std::vector<char> footer(22);
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fseek(fp,-22,SEEK_END);
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size_t res = fread(&footer[0],sizeof(char),22,fp);
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if(res != 22)
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throw std::runtime_error("parse_zip_footer: failed fread");
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unsigned short disk_no, disk_start, nrecs_on_disk, comment_len;
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disk_no = *(unsigned short*) &footer[4];
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disk_start = *(unsigned short*) &footer[6];
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nrecs_on_disk = *(unsigned short*) &footer[8];
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nrecs = *(unsigned short*) &footer[10];
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global_header_size = *(unsigned int*) &footer[12];
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global_header_offset = *(unsigned int*) &footer[16];
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comment_len = *(unsigned short*) &footer[20];
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assert(disk_no == 0);
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assert(disk_start == 0);
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assert(nrecs_on_disk == nrecs);
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assert(comment_len == 0);
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}
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cnpy::NpyArray load_the_npy_file(FILE* fp) {
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unsigned int* shape;
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unsigned int ndims, word_size;
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bool fortran_order;
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cnpy::parse_npy_header(fp,word_size,shape,ndims,fortran_order);
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unsigned long long size = 1; //long long so no overflow when multiplying by word_size
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for(unsigned int i = 0;i < ndims;i++) size *= shape[i];
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cnpy::NpyArray arr;
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arr.word_size = word_size;
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arr.shape = std::vector<unsigned int>(shape,shape+ndims);
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delete[] shape;
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arr.data = new char[size*word_size];
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arr.fortran_order = fortran_order;
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size_t nread = fread(arr.data,word_size,size,fp);
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if(nread != size)
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throw std::runtime_error("load_the_npy_file: failed fread");
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return arr;
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}
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cnpy::npz_t cnpy::npz_load(std::string fname) {
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FILE* fp = fopen(fname.c_str(),"rb");
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if(!fp) printf("npz_load: Error! Unable to open file %s!\n",fname.c_str());
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assert(fp);
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cnpy::npz_t arrays;
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while(1) {
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std::vector<char> local_header(30);
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size_t headerres = fread(&local_header[0],sizeof(char),30,fp);
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if(headerres != 30)
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throw std::runtime_error("npz_load: failed fread");
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//if we've reached the global header, stop reading
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if(local_header[2] != 0x03 || local_header[3] != 0x04) break;
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//read in the variable name
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unsigned short name_len = *(unsigned short*) &local_header[26];
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std::string varname(name_len,' ');
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size_t vname_res = fread(&varname[0],sizeof(char),name_len,fp);
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if(vname_res != name_len)
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throw std::runtime_error("npz_load: failed fread");
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//erase the lagging .npy
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varname.erase(varname.end()-4,varname.end());
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//read in the extra field
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unsigned short extra_field_len = *(unsigned short*) &local_header[28];
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if(extra_field_len > 0) {
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std::vector<char> buff(extra_field_len);
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size_t efield_res = fread(&buff[0],sizeof(char),extra_field_len,fp);
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if(efield_res != extra_field_len)
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throw std::runtime_error("npz_load: failed fread");
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}
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arrays[varname] = load_the_npy_file(fp);
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}
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fclose(fp);
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return arrays;
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}
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cnpy::NpyArray cnpy::npz_load(std::string fname, std::string varname) {
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FILE* fp = fopen(fname.c_str(),"rb");
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if(!fp) {
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printf("npz_load: Error! Unable to open file %s!\n",fname.c_str());
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abort();
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}
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while(1) {
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std::vector<char> local_header(30);
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size_t header_res = fread(&local_header[0],sizeof(char),30,fp);
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if(header_res != 30)
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throw std::runtime_error("npz_load: failed fread");
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//if we've reached the global header, stop reading
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if(local_header[2] != 0x03 || local_header[3] != 0x04) break;
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//read in the variable name
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unsigned short name_len = *(unsigned short*) &local_header[26];
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std::string vname(name_len,' ');
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size_t vname_res = fread(&vname[0],sizeof(char),name_len,fp);
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if(vname_res != name_len)
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throw std::runtime_error("npz_load: failed fread");
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vname.erase(vname.end()-4,vname.end()); //erase the lagging .npy
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//read in the extra field
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unsigned short extra_field_len = *(unsigned short*) &local_header[28];
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fseek(fp,extra_field_len,SEEK_CUR); //skip past the extra field
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if(vname == varname) {
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NpyArray array = load_the_npy_file(fp);
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fclose(fp);
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return array;
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}
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else {
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//skip past the data
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unsigned int size = *(unsigned int*) &local_header[22];
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fseek(fp,size,SEEK_CUR);
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}
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}
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fclose(fp);
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printf("npz_load: Error! Variable name %s not found in %s!\n",varname.c_str(),fname.c_str());
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abort();
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}
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cnpy::NpyArray cnpy::npy_load(std::string fname) {
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FILE* fp = fopen(fname.c_str(), "rb");
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if(!fp) {
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printf("npy_load: Error! Unable to open file %s!\n",fname.c_str());
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abort();
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}
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NpyArray arr = load_the_npy_file(fp);
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fclose(fp);
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return arr;
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}
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241
src/cnpy/cnpy.h
Normal file
241
src/cnpy/cnpy.h
Normal file
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//Copyright (C) 2011 Carl Rogers
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//Released under MIT License
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//license available in LICENSE file, or at http://www.opensource.org/licenses/mit-license.php
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#ifndef LIBCNPY_H_
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#define LIBCNPY_H_
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#include<string>
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#include<stdexcept>
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#include<sstream>
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#include<vector>
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#include<cstdio>
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#include<typeinfo>
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#include<iostream>
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#include<cassert>
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#include<zlib.h>
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#include<map>
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namespace cnpy {
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struct NpyArray {
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char* data;
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std::vector<unsigned int> shape;
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unsigned int word_size;
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bool fortran_order;
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void destruct() {delete[] data;}
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};
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struct npz_t : public std::map<std::string, NpyArray>
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{
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void destruct()
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{
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npz_t::iterator it = this->begin();
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for(; it != this->end(); ++it) (*it).second.destruct();
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}
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};
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char BigEndianTest();
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char map_type(const std::type_info& t);
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template<typename T> std::vector<char> create_npy_header(const T* data, const unsigned int* shape, const unsigned int ndims);
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void parse_npy_header(FILE* fp,unsigned int& word_size, unsigned int*& shape, unsigned int& ndims, bool& fortran_order);
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void parse_zip_footer(FILE* fp, unsigned short& nrecs, unsigned int& global_header_size, unsigned int& global_header_offset);
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npz_t npz_load(std::string fname);
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NpyArray npz_load(std::string fname, std::string varname);
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NpyArray npy_load(std::string fname);
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template<typename T> std::vector<char>& operator+=(std::vector<char>& lhs, const T rhs) {
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//write in little endian
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for(char byte = 0; byte < sizeof(T); byte++) {
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char val = *((char*)&rhs+byte);
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lhs.push_back(val);
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}
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return lhs;
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}
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template<> std::vector<char>& operator+=(std::vector<char>& lhs, const std::string rhs);
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template<> std::vector<char>& operator+=(std::vector<char>& lhs, const char* rhs);
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template<typename T> std::string tostring(T i, int pad = 0, char padval = ' ') {
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std::stringstream s;
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s << i;
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return s.str();
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}
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template<typename T> void npy_save(std::string fname, const T* data, const unsigned int* shape, const unsigned int ndims, std::string mode = "w") {
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FILE* fp = NULL;
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if(mode == "a") fp = fopen(fname.c_str(),"r+b");
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if(fp) {
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//file exists. we need to append to it. read the header, modify the array size
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unsigned int word_size, tmp_dims;
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unsigned int* tmp_shape = 0;
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bool fortran_order;
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parse_npy_header(fp,word_size,tmp_shape,tmp_dims,fortran_order);
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assert(!fortran_order);
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if(word_size != sizeof(T)) {
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std::cout<<"libnpy error: "<<fname<<" has word size "<<word_size<<" but npy_save appending data sized "<<sizeof(T)<<"\n";
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assert( word_size == sizeof(T) );
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}
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if(tmp_dims != ndims) {
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std::cout<<"libnpy error: npy_save attempting to append misdimensioned data to "<<fname<<"\n";
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assert(tmp_dims == ndims);
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}
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for(int i = 1; i < ndims; i++) {
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if(shape[i] != tmp_shape[i]) {
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std::cout<<"libnpy error: npy_save attempting to append misshaped data to "<<fname<<"\n";
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assert(shape[i] == tmp_shape[i]);
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}
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}
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tmp_shape[0] += shape[0];
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fseek(fp,0,SEEK_SET);
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std::vector<char> header = create_npy_header(data,tmp_shape,ndims);
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fwrite(&header[0],sizeof(char),header.size(),fp);
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fseek(fp,0,SEEK_END);
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delete[] tmp_shape;
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}
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else {
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fp = fopen(fname.c_str(),"wb");
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std::vector<char> header = create_npy_header(data,shape,ndims);
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fwrite(&header[0],sizeof(char),header.size(),fp);
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}
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unsigned int nels = 1;
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for(int i = 0;i < ndims;i++) nels *= shape[i];
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fwrite(data,sizeof(T),nels,fp);
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fclose(fp);
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}
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template<typename T> void npz_save(std::string zipname, std::string fname, const T* data, const unsigned int* shape, const unsigned int ndims, std::string mode = "w")
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{
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//first, append a .npy to the fname
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fname += ".npy";
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//now, on with the show
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FILE* fp = NULL;
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unsigned short nrecs = 0;
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unsigned int global_header_offset = 0;
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std::vector<char> global_header;
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||||
|
||||
if(mode == "a") fp = fopen(zipname.c_str(),"r+b");
|
||||
|
||||
if(fp) {
|
||||
//zip file exists. we need to add a new npy file to it.
|
||||
//first read the footer. this gives us the offset and size of the global header
|
||||
//then read and store the global header.
|
||||
//below, we will write the the new data at the start of the global header then append the global header and footer below it
|
||||
unsigned int global_header_size;
|
||||
parse_zip_footer(fp,nrecs,global_header_size,global_header_offset);
|
||||
fseek(fp,global_header_offset,SEEK_SET);
|
||||
global_header.resize(global_header_size);
|
||||
size_t res = fread(&global_header[0],sizeof(char),global_header_size,fp);
|
||||
if(res != global_header_size){
|
||||
throw std::runtime_error("npz_save: header read error while adding to existing zip");
|
||||
}
|
||||
fseek(fp,global_header_offset,SEEK_SET);
|
||||
}
|
||||
else {
|
||||
fp = fopen(zipname.c_str(),"wb");
|
||||
}
|
||||
|
||||
std::vector<char> npy_header = create_npy_header(data,shape,ndims);
|
||||
|
||||
unsigned long nels = 1;
|
||||
for (int m=0; m<ndims; m++ ) nels *= shape[m];
|
||||
int nbytes = nels*sizeof(T) + npy_header.size();
|
||||
|
||||
//get the CRC of the data to be added
|
||||
unsigned int crc = crc32(0L,(unsigned char*)&npy_header[0],npy_header.size());
|
||||
crc = crc32(crc,(unsigned char*)data,nels*sizeof(T));
|
||||
|
||||
//build the local header
|
||||
std::vector<char> local_header;
|
||||
local_header += "PK"; //first part of sig
|
||||
local_header += (unsigned short) 0x0403; //second part of sig
|
||||
local_header += (unsigned short) 20; //min version to extract
|
||||
local_header += (unsigned short) 0; //general purpose bit flag
|
||||
local_header += (unsigned short) 0; //compression method
|
||||
local_header += (unsigned short) 0; //file last mod time
|
||||
local_header += (unsigned short) 0; //file last mod date
|
||||
local_header += (unsigned int) crc; //crc
|
||||
local_header += (unsigned int) nbytes; //compressed size
|
||||
local_header += (unsigned int) nbytes; //uncompressed size
|
||||
local_header += (unsigned short) fname.size(); //fname length
|
||||
local_header += (unsigned short) 0; //extra field length
|
||||
local_header += fname;
|
||||
|
||||
//build global header
|
||||
global_header += "PK"; //first part of sig
|
||||
global_header += (unsigned short) 0x0201; //second part of sig
|
||||
global_header += (unsigned short) 20; //version made by
|
||||
global_header.insert(global_header.end(),local_header.begin()+4,local_header.begin()+30);
|
||||
global_header += (unsigned short) 0; //file comment length
|
||||
global_header += (unsigned short) 0; //disk number where file starts
|
||||
global_header += (unsigned short) 0; //internal file attributes
|
||||
global_header += (unsigned int) 0; //external file attributes
|
||||
global_header += (unsigned int) global_header_offset; //relative offset of local file header, since it begins where the global header used to begin
|
||||
global_header += fname;
|
||||
|
||||
//build footer
|
||||
std::vector<char> footer;
|
||||
footer += "PK"; //first part of sig
|
||||
footer += (unsigned short) 0x0605; //second part of sig
|
||||
footer += (unsigned short) 0; //number of this disk
|
||||
footer += (unsigned short) 0; //disk where footer starts
|
||||
footer += (unsigned short) (nrecs+1); //number of records on this disk
|
||||
footer += (unsigned short) (nrecs+1); //total number of records
|
||||
footer += (unsigned int) global_header.size(); //nbytes of global headers
|
||||
footer += (unsigned int) (global_header_offset + nbytes + local_header.size()); //offset of start of global headers, since global header now starts after newly written array
|
||||
footer += (unsigned short) 0; //zip file comment length
|
||||
|
||||
//write everything
|
||||
fwrite(&local_header[0],sizeof(char),local_header.size(),fp);
|
||||
fwrite(&npy_header[0],sizeof(char),npy_header.size(),fp);
|
||||
fwrite(data,sizeof(T),nels,fp);
|
||||
fwrite(&global_header[0],sizeof(char),global_header.size(),fp);
|
||||
fwrite(&footer[0],sizeof(char),footer.size(),fp);
|
||||
fclose(fp);
|
||||
}
|
||||
|
||||
template<typename T> std::vector<char> create_npy_header(const T* data, const unsigned int* shape, const unsigned int ndims) {
|
||||
|
||||
std::vector<char> dict;
|
||||
dict += "{'descr': '";
|
||||
dict += BigEndianTest();
|
||||
dict += map_type(typeid(T));
|
||||
dict += tostring(sizeof(T));
|
||||
dict += "', 'fortran_order': False, 'shape': (";
|
||||
dict += tostring(shape[0]);
|
||||
for(int i = 1;i < ndims;i++) {
|
||||
dict += ", ";
|
||||
dict += tostring(shape[i]);
|
||||
}
|
||||
if(ndims == 1) dict += ",";
|
||||
dict += "), }";
|
||||
//pad with spaces so that preamble+dict is modulo 16 bytes. preamble is 10 bytes. dict needs to end with \n
|
||||
int remainder = 16 - (10 + dict.size()) % 16;
|
||||
dict.insert(dict.end(),remainder,' ');
|
||||
dict.back() = '\n';
|
||||
|
||||
std::vector<char> header;
|
||||
header += (char) 0x93;
|
||||
header += "NUMPY";
|
||||
header += (char) 0x01; //major version of numpy format
|
||||
header += (char) 0x00; //minor version of numpy format
|
||||
header += (unsigned short) dict.size();
|
||||
header.insert(header.end(),dict.begin(),dict.end());
|
||||
|
||||
return header;
|
||||
}
|
||||
|
||||
|
||||
}
|
||||
|
||||
#endif
|
39
src/npz_converter.cpp
Normal file
39
src/npz_converter.cpp
Normal file
@ -0,0 +1,39 @@
|
||||
#include "common/npz_converter.h"
|
||||
|
||||
|
||||
|
||||
NpzConverter::NpzConverter(const std::string& file)
|
||||
: model_(cnpy::npz_load(file)),
|
||||
destructed_(false) {
|
||||
}
|
||||
|
||||
NpzConverter::~NpzConverter() {
|
||||
if(!destructed_)
|
||||
model_.destruct();
|
||||
}
|
||||
|
||||
void NpzConverter::Destruct() {
|
||||
model_.destruct();
|
||||
destructed_ = true;
|
||||
}
|
||||
|
||||
mblas::Matrix NpzConverter::operator[](const std::string& key) const {
|
||||
typedef blaze::CustomMatrix<float, blaze::unaligned,
|
||||
blaze::unpadded, blaze::rowMajor> BlazeWrapper;
|
||||
mblas::Matrix matrix;
|
||||
auto it = model_.find(key);
|
||||
if(it != model_.end()) {
|
||||
NpyMatrixWrapper np(it->second);
|
||||
matrix = BlazeWrapper(np.data(), np.size1(), np.size2());
|
||||
}
|
||||
else {
|
||||
std::cerr << "Missing " << key << std::endl;
|
||||
}
|
||||
return std::move(matrix);
|
||||
}
|
||||
|
||||
mblas::Matrix NpzConverter::operator()(const std::string& key, bool transpose) const {
|
||||
mblas::Matrix matrix = (*this)[key];
|
||||
mblas::Trans(matrix);
|
||||
return std::move(matrix);
|
||||
}
|
72
src/npz_converter.h
Normal file
72
src/npz_converter.h
Normal file
@ -0,0 +1,72 @@
|
||||
#pragma once
|
||||
|
||||
#include "cnpy/cnpy.h"
|
||||
#include "tensor.h"
|
||||
|
||||
class NpzConverter {
|
||||
private:
|
||||
class NpyMatrixWrapper {
|
||||
public:
|
||||
NpyMatrixWrapper(const cnpy::NpyArray& npy)
|
||||
: npy_(npy) {}
|
||||
|
||||
size_t size() const {
|
||||
return size1() * size2();
|
||||
}
|
||||
|
||||
float* data() const {
|
||||
return (float*)npy_.data;
|
||||
}
|
||||
|
||||
float operator()(size_t i, size_t j) const {
|
||||
return ((float*)npy_.data)[i * size2() + j];
|
||||
}
|
||||
|
||||
size_t size1() const {
|
||||
return npy_.shape[0];
|
||||
}
|
||||
|
||||
size_t size2() const {
|
||||
if(npy_.shape.size() == 1)
|
||||
return 1;
|
||||
else
|
||||
return npy_.shape[1];
|
||||
}
|
||||
|
||||
private:
|
||||
const cnpy::NpyArray& npy_;
|
||||
};
|
||||
|
||||
public:
|
||||
NpzConverter(const std::string& file)
|
||||
: model_(cnpy::npz_load(file)),
|
||||
destructed_(false) {
|
||||
}
|
||||
|
||||
~NpzConverter() {
|
||||
if(!destructed_)
|
||||
model_.destruct();
|
||||
}
|
||||
|
||||
void Destruct() {
|
||||
model_.destruct();
|
||||
destructed_ = true;
|
||||
}
|
||||
|
||||
void Load(const std::string& key, marian::Tensor& tensor) const {
|
||||
auto it = model_.find(key);
|
||||
if(it != model_.end()) {
|
||||
NpyMatrixWrapper np(it->second);
|
||||
tensor.allocate({(int)np.size1(), (int)np.size2()});
|
||||
std::vector<float> data(np.data(), np.data() + np.size());
|
||||
tensor.Load(data);
|
||||
}
|
||||
else {
|
||||
std::cerr << "Missing " << key << std::endl;
|
||||
}
|
||||
}
|
||||
|
||||
private:
|
||||
cnpy::npz_t model_;
|
||||
bool destructed_;
|
||||
};
|
Loading…
Reference in New Issue
Block a user