diff --git a/Scripts/ctf2bin.py b/Scripts/ctf2bin.py index 9a054f60a..f87f733c9 100644 --- a/Scripts/ctf2bin.py +++ b/Scripts/ctf2bin.py @@ -5,7 +5,7 @@ # # The header file must list all of the streams in the input file in the # following format: -# TAB TAB TAB +# # # Where: # is the desired name for the input in CNTK. @@ -16,275 +16,285 @@ import sys import argparse -import re import struct -import tempfile -import shutil import os +from collections import OrderedDict -# This will convert data in the ctf format into binary format +MAGIC_NUMBER = 0x636e746b5f62696e; +CBF_VERSION = 1; + +class ElementType: + FLOAT = 0 + DOUBLE = 1 + +class MatrixEncodingType: + DENSE = 0 + SPARSE_CSC = 1 + #COMPRESSED_DENSE = 2 + #COMPRESSED_SPARSE_CSC = 3 + +# This will convert data in the ctf format into the binary format class Converter(object): - def __init__(self, name, sampleDim): + def __init__(self, name, sample_dim, element_type): self.name = name - self.sampleDim = sampleDim - self.vals = list() + self.sample_dim = sample_dim + # contains length (in samples) for each sequence in the chunk + self.sequences = [] + self.element_type = element_type - def getName(self): - return self.name + def write_header(self, output): + # First is the matrix type. + output.write(struct.pack('B', self.get_matrix_type())) + # Nest comes the stream name. + output.write(struct.pack('I', len(self.name))) + output.write(self.name.encode('ascii')) + # Next is the elem type + output.write(struct.pack('B', self.element_type)) + # Finally, the sample dimension. + output.write(struct.pack('I', self.sample_dim)) - def getSampleDim(self): - return self.sampleDim + def write_signed_ints(self, output, ints): + output.write(b''.join([struct.pack('i', x) for x in ints])) - def clear(self): - self.vals = list() + def write_floats(self, output, floats): + format = 'f' if self.is_float() else 'd' + output.write(b''.join([struct.pack(format, x) for x in floats])) - def addSequence(self): - self.vals.append(list()) + def is_float(self): + return self.element_type == ElementType.FLOAT - def appendSample(self, sample): - if( len(sample) != self.sampleDim ): - raise ValueError( - "Invalid sample dimension for input {0}".format(self.name)) + def get_matrix_type(self): + raise NotImplementedError() - if( len(self.vals) == 0 ): - self.vals.append( list() ) + def reset(self): + self.sequences = [] - self.vals[-1].append( sample ) - - def toString(self): - output = "" - for seq in self.vals: - for samp in seq: - output += "\t" + " ".join(samp ) - output += "\n" - return output + def start_sequence(self): + self.sequences.append([]) + def add_sample(self, sample): + raise NotImplementedError() # Specilization for dense inputs class DenseConverter(Converter): - def __init__(self, name, sampleDim): - Converter.__init__(self, name, sampleDim) - - def headerBytes(self): - output = bytearray() - # First is the matrix type. Dense is type 0 - output += struct.pack( "i", 0 ) - # Next is the elem type, currently float only - output += struct.pack( "i", 0 ) - # Finally is whether or not this is a sequence - output += struct.pack( "i", self.sampleDim ) - return output + def get_matrix_type(self): + return MatrixEncodingType.DENSE; - - def toBytes(self): - output = bytearray() - for sequence in self.vals: - if( len(sequence) != 1 ): - raise ValueError("Dense sequences currently not supported.") + def add_sample(self, sample): + if(len(sample) != self.sample_dim): + raise ValueError( + "Invalid sample dimension for input {0}".format(self.name)) - for sample in sequence[0]: - output += struct.pack( "f", float(sample) ) + byte_size = len(sample) * (4 if self.is_float() else 8) - return output + if(len(self.sequences) == 0): + self.sequences.append([]) + byte_size += 4; + + self.sequences[-1].append([float(x) for x in sample]) + + return byte_size + + def write_data(self, output): + for sequence in self.sequences: + output.write(struct.pack('I', len(sequence))) + for sample in sequence: + self.write_floats(output, sample) # Specialization for sparse inputs class SparseConverter(Converter): - def __init__(self, name, sampleDim): - Converter.__init__(self, name, sampleDim) - def appendSample(self, sample): - for pair in sample: - index = int(pair.split(":")[0]) - if (index >= self.sampleDim): + def add_sample(self, sample): + pairs = map(lambda x: (int(x[0]),float(x[1])), + [pair.split(':', 1) for pair in sample]) + + for pair in pairs: + index = pair[0] + if (index >= self.sample_dim): raise ValueError("Invalid sample dimension for input {0}. Max {1}, given {2}" - .format(self.name, self.sampleDim, index)) - if( len(self.vals) == 0 ): - self.vals.append( list() ) + .format(self.name, self.sample_dim, index)) - self.vals[-1].append( sample ) + byte_size = len(pairs) * (8 if self.is_float() else 12) + 4 - def headerBytes(self): - output = bytearray() - # First is the matrix type. Sparse is type 1 - output += struct.pack( "i", 1 ) - # Next is the storage type, currently sparse csc only - output += struct.pack( "i", 0 ) - # Next is the elem type, currently float only - output += struct.pack( "i", 0 ) - # Next is whether or not this is a sequence - # Note this is currently ignored - output += struct.pack( "i", 1 ) - # Finally is the sample dimension - output += struct.pack( "i", self.sampleDim ) + if(len(self.sequences) == 0): + self.sequences.append([]) + byte_size += 8; - return output + self.sequences[-1].append(pairs) - def toBytes(self): - output = bytearray() - values = list() - rowInd = list() - colInd = [0] - nnz = 0 - for sequence in self.vals: - i = 0 + return byte_size + + def get_matrix_type(self): + return MatrixEncodingType.SPARSE_CSC; + + def write_data(self, output): + format = 'f' if self.is_float() else 'd' + for sequence in self.sequences: + # write out each sequence in csc format + values = [] + indices = [] + sizes = [] for sample in sequence: - # sort the indices least to greatest - sample.sort(key=lambda x: int(x.split(":")[0])) - for ele in sample: - nnz += 1 - ind, val = ele.split(":") - rowInd.append( int(ind) + i * self.sampleDim ) - values.append( val ) - i += 1 - colInd.append( nnz ) + sizes.append(len(sample)) + sample.sort(key=lambda x: x[0]) + for (index, value) in sample: + indices.append(index) + values.append(value) - output += struct.pack( "i", nnz ) - output += b''.join( [ struct.pack( "f", float(val) ) for val in values ] ) - output += b''.join( [ struct.pack( "i", int(ind) ) for ind in rowInd ] ) - output += b''.join( [ struct.pack( "i", int(ind) ) for ind in colInd ] ) + output.write(struct.pack('I', len(sequence))) #number of samples in this sequence + # nnz and indices have to be written out as signed ints, since + # this is the index type of the CNTK sparse matrix + output.write(struct.pack('i', len(values))) #total nnz count for this sequence + self.write_floats(output, values) + self.write_signed_ints(output, indices) + self.write_signed_ints(output, sizes) - return output - - -# Parse an entire sequence given an aliasToId map, and the converters -def ParseSequence( aliasToId, curSequence, converters ): - for des in converters: - des.addSequence() - for line in curSequence: - for input in line.split( "|" )[1:]: - vals = input.split() +# Process the entire sequence +def process_sequence(data, converters, chunk): + byte_size = 0; + for converter in converters.values(): + converter.start_sequence() + for line in data: + for input_stream in line.split("|")[1:]: + split = input_stream.split(None, 1) + if (len(split) < 2): + continue + (alias, values) = split # We need to ignore comments - if( vals[0] != "#" ): - converters[aliasToId[vals[0]]].appendSample( vals[1:] ) - return max( [ len(des.vals[ -1 ]) for des in converters ] ) + if(len(alias) > 0 and alias[0] != '#'): + byte_size += converters[alias].add_sample(values.split()) + sequence_length_samples = max([len(x.sequences[-1]) for x in converters.values()]) + chunk.add_sequence(sequence_length_samples) + return byte_size # Output a binary chunk -def OutputChunk( binfile, converters ): - startPos = binfile.tell() - for des in converters: - binfile.write( des.toBytes() ) - des.clear() - return startPos +def write_chunk(binfile, converters, chunk): + binfile.flush() + chunk.offset = binfile.tell() + # write out the number of samples for each sequence in the chunk + binfile.write(b''.join([struct.pack('I', x) for x in chunk.sequences])) -# Get a converter from a type -def GetConverter( inputtype, name, sampleDim ): - converter = None - if( inputtype.lower() == 'dense' ): - converter = DenseConverter( name, sampleDim ) - elif( inputtype.lower() == 'sparse' ): - converter = SparseConverter( name, sampleDim ) - else: - print('Invalid input format {0}'.format( inputtype )) - sys.exit() + for converter in converters.values(): + converter.write_data(binfile) + converter.reset() + # TODO: add a hash of the chunk - return converter +def get_converter(input_type, name, sample_dim, element_type): + if(input_type.lower() == 'dense'): + return DenseConverter(name, sample_dim, element_type) + if(input_type.lower() == 'sparse'): + return SparseConverter(name, sample_dim, element_type) -# Output the binary format header. -def OutputHeader( headerFile, converters ): - # First the version number - headerFile.write( struct.pack( "q", 1 ) ) - # Next is the number of chunks, but we don't know what this is, so write a - # placeholder - headerFile.write( struct.pack( "q", 0 ) ) - # Finally the number of inputs - headerFile.write( struct.pack( "i", len(converters) ) ) - for conv in converters: - # first comes the name. This is common so write it first - headerFile.write( struct.pack( "i", len( conv.getName() ) ) ) - headerFile.write( conv.getName().encode('ascii') ) - headerFile.write( conv.headerBytes() ) - - -# At the end we know how many chunks there are. Update the header as needed. -def UpdateHeader( headerFile, numChunks ): - # seek after the first Int64 - headerFile.seek( 8 ) - # Write the number of chunks - headerFile.write( struct.pack( "q", numChunks ) ) + raise ValueError('Invalid input format {0}'.format(input_type)) + +# parse the header to get the converters for this file +# +def build_converters(header_file, element_type): + converters = OrderedDict(); + with open(header_file, 'r') as inputs: + for line in inputs: + (name, alias, input_type, sample_dim) = line.strip().split() + converters[alias] = get_converter(input_type, name, int(sample_dim), element_type) + return converters + +class Chunk: + def __init__(self): + self.offset = 0 + self.sequences = [] + + def num_sequences(self): + return len(self.sequences) + + def num_samples(self): + return sum(self.sequences) + + def add_sequence(self, num_samples): + return self.sequences.append(num_samples) + +class Header: + def __init__(self, converters): + self.converters = converters + self.chunks = [] + + def add_chunk(self, chunk): + assert(isinstance(chunk, Chunk)) + self.chunks.append(chunk) + + # Output the binary format header. + def write(self, output_file): + output_file.flush() + header_offset = output_file.tell() + # First, write the magic number (uint64, 8 bytes) + output_file.write(struct.pack('Q', MAGIC_NUMBER)); + # Next is the number of chunks (uint32, 4 bytes) + output_file.write(struct.pack('I', len(self.chunks))) + # Finally the number of input streams (uint32, 4 bytes) + output_file.write(struct.pack('I', len(self.converters))) + for converter in self.converters.values(): + converter.write_header(output_file) + # write the chunk table + for chunk in self.chunks: + # uint64: start offset for chunk + output_file.write(struct.pack('q', chunk.offset)) + # uint32: number of sequences in the chunk + output_file.write(struct.pack('I', chunk.num_sequences())) + # uint32: number of samples in the chunk + output_file.write(struct.pack('I', chunk.num_samples())) + + output_file.write(struct.pack('q', header_offset)); -# Output a single row of the offsets table -def OutputOffset( headerFile, numBytes, numSeqs, numSamples ): - # Int64 start offset for chunk - headerFile.write( struct.pack( "q", numBytes ) ) - # Int32 Num sequences in the chunk - headerFile.write( struct.pack( "i", numSeqs ) ) - # Int32 Num samples in the chunk - headerFile.write( struct.pack( "i", numSamples ) ) if __name__ == '__main__': parser = argparse.ArgumentParser(description="Transforms a CNTK Text Format file into CNTK binary format given a header.") - parser.add_argument('--input', help="CNTK Text Format file to convert to binary.", default="", required=True) - parser.add_argument('--header', help="Header file describing each stream in the input.", default="", required=True) - parser.add_argument('--seqsPerChunk', type=int, help='Number of sequences in each chunk.', default="", required=True) - parser.add_argument('--output', help='Name of the output file, stdout if not given', default="", required=True) + parser.add_argument('--input', help="CNTK Text Format file to convert to binary.", required=True) + parser.add_argument('--header', help="Header file describing each stream in the input.", required=True) + parser.add_argument('--chunk_size', type=int, help='Chunk size in bytes.', required=True) + parser.add_argument('--output', help='Name of the output file, stdout if not given', required=True) + parser.add_argument('--precision', help='Floating point precision (double or float). Default is float', + choices=["float", "double"], default="float", required=False) args = parser.parse_args() - # Since we don't know how many chunks we're going to write until we're done, - # grow the header/offsets table and the data portion separately. then at the - # end concatenate the data portion onto the end of the header/offsets - # portion. - binaryHeaderFile = open( args.output, "wb+" ) - binaryDataFile = tempfile.NamedTemporaryFile(mode="rb+", delete=False) - dataPath = binaryDataFile.name + output = open(args.output, "wb") + # The very first 8 bytes of the file is the CBF magic number. + output.write(struct.pack('Q', MAGIC_NUMBER)); + # Next 4 bytes is the CBF version. + output.write(struct.pack('I', CBF_VERSION)); - # parse the header to get the converters for this file - # - converters = [] - aliasToId = dict() - with open( args.header, "r" ) as headerfile: - id = 0 - for line in headerfile: - split = re.split(r'\t+', line.strip()) - converters.append( GetConverter( split[ 2 ], split[ 0 ], int(split[3]) ) ) - aliasToId[ split[ 1 ] ] = id - id += 1 + converters = build_converters(args.header, + ElementType.FLOAT if args.precision == 'float' else ElementType.DOUBLE) - OutputHeader( binaryHeaderFile, converters ) - numChunks = 0 - with open( args.input, "r" ) as inputFile: - curSequence = list() - numSeqs = 0 - numSamps = 0 - prevId = None - for line in inputFile: - split = line.rstrip().split('|') + header = Header(converters) + chunk = Chunk() + + with open(args.input, "r") as input_file: + sequence = [] + seq_id = None + estimated_chunk_size = 0 + for line in input_file: + (prefix, _) = line.rstrip().split('|',1) # if the sequence id is empty or not equal to the previous sequence id, # we are at a new sequence. - if( not split[0] or prevId != split[ 0 ] ): - if(len(curSequence) > 0): - numSamps += ParseSequence( aliasToId, curSequence, converters ) - curSequence = list() - numSeqs += 1 - if( numSeqs % int( args.seqsPerChunk ) == 0 ): - numBytes = OutputChunk( binaryDataFile, converters ) - numChunks += 1 - OutputOffset( binaryHeaderFile, numBytes, numSeqs, numSamps ) - numSeqs = 0 - numSamps = 0 - prevId = split[ 0 ] + if((not seq_id and not prefix) or (len(prefix) > 0 and seq_id != prefix)): + if(len(sequence) > 0): + estimated_chunk_size += process_sequence(sequence, converters, chunk) + sequence = [] + if(estimated_chunk_size >= int(args.chunk_size)): + write_chunk(output, converters, chunk) + header.add_chunk(chunk) + chunk = Chunk() + seq_id = prefix - curSequence.append( line ) + sequence.append(line) # we must parse the last line - if( len(curSequence) > 0 ): - numSamps += ParseSequence( aliasToId, curSequence, converters ) - numSeqs += 1 - numChunks += 1 + if(len(sequence) > 0): + process_sequence(sequence, converters, chunk) - numBytes = OutputChunk( binaryDataFile, converters ) - OutputOffset( binaryHeaderFile, numBytes, numSeqs, numSamps ) + write_chunk(output, converters, chunk) + header.add_chunk(chunk) - UpdateHeader( binaryHeaderFile, numChunks ) - binaryHeaderFile.flush() - binaryDataFile.flush() - binaryHeaderFile.close() - binaryDataFile.close() + header.write(output) - destination = open( args.output, 'ab+' ) - shutil.copyfileobj( open( dataPath, "rb" ), destination ) - - destination.flush() - destination.close() - os.unlink(dataPath) - assert not os.path.exists(dataPath) + output.flush() + output.close() \ No newline at end of file diff --git a/Source/Readers/CNTKBinaryReader/BinaryChunkDeserializer.cpp b/Source/Readers/CNTKBinaryReader/BinaryChunkDeserializer.cpp index 7a2ea582b..b1c6c0190 100644 --- a/Source/Readers/CNTKBinaryReader/BinaryChunkDeserializer.cpp +++ b/Source/Readers/CNTKBinaryReader/BinaryChunkDeserializer.cpp @@ -4,6 +4,8 @@ // #include "stdafx.h" +#define __STDC_FORMAT_MACROS +#include #include "BinaryChunkDeserializer.h" #include "BinaryDataChunk.h" #include "FileHelper.h" @@ -11,43 +13,52 @@ namespace Microsoft { namespace MSR { namespace CNTK { -enum class DeserializerType : int32_t +enum class MatrixEncodingType : unsigned char { - DenseBinaryDataDeserializer = 0, - SparseBinaryDataDeserializer = 1 + dense = 0, + sparse_csc = 1, + // TODO: compressed_sparse_csc = 2, // indices are encoded as var-ints }; -void BinaryChunkDeserializer::ReadOffsetsTable(FILE* infile) + + +void BinaryChunkDeserializer::ReadChunkTable(FILE* infile) { - ReadOffsetsTable(infile, 0, m_numChunks); + ReadChunkTable(infile, 0, m_numChunks); } -void BinaryChunkDeserializer::ReadOffsetsTable(FILE* infile, size_t startOffset, size_t numChunks) +void BinaryChunkDeserializer::ReadChunkTable(FILE* infile, uint32_t firstChunkIdx, uint32_t numChunks) { - assert((int64_t)(startOffset + numChunks) <= m_numChunks); - size_t startPos = startOffset * sizeof(DiskOffsetsTable) + m_offsetStart; + if (firstChunkIdx + numChunks > m_numChunks) + { + RuntimeError("Requested chunks (from %" PRIu32 " to %" PRIu32 ") are out of bounds " + "(the total number of chunks in the dataset is %" PRIu32 ").", + firstChunkIdx, (firstChunkIdx + numChunks - 1), m_numChunks); + } - // Seek to the offsets table start - CNTKBinaryFileHelper::seekOrDie(infile, startPos, SEEK_SET); + uint64_t firstChunkOffset = firstChunkIdx * sizeof(ChunkInfo) + m_chunkTableOffset; + + // Seek to the start of the offset info for the first requested chunk + CNTKBinaryFileHelper::SeekOrDie(infile, firstChunkOffset, SEEK_SET); // Note we create numChunks + 1 since we want to be consistent with determining the size of each chunk. - DiskOffsetsTable* offsetsTable = new DiskOffsetsTable[numChunks + 1]; + ChunkInfo* chunks = new ChunkInfo[numChunks + 1]; // Read in all of the offsets for the chunks of interest - CNTKBinaryFileHelper::readOrDie(offsetsTable, sizeof(DiskOffsetsTable), numChunks, infile); + CNTKBinaryFileHelper::ReadOrDie(chunks, sizeof(ChunkInfo), numChunks, infile); // Now read the final entry. It is either the next offset entry (if we're reading a subset and the // entry exists), or we just fill it with the correct information based on file size if it doesn't - if ((int64_t)(startOffset + numChunks) == m_numChunks) + if (firstChunkIdx + numChunks == m_numChunks) { - CNTKBinaryFileHelper::seekOrDie(infile, 0, SEEK_END); - offsetsTable[numChunks].offset = CNTKBinaryFileHelper::tellOrDie(infile) - m_dataStart; - offsetsTable[numChunks].numSamples = 0; - offsetsTable[numChunks].numSequences = 0; + auto position = CNTKBinaryFileHelper::TellOrDie(infile); + chunks[numChunks].offset = position; + chunks[numChunks].numSamples = 0; + chunks[numChunks].numSequences = 0; } else - CNTKBinaryFileHelper::readOrDie(offsetsTable + numChunks, sizeof(DiskOffsetsTable), 1, infile); + CNTKBinaryFileHelper::ReadOrDie(chunks + numChunks, sizeof(ChunkInfo), 1, infile); - m_offsetsTable = make_unique(numChunks, offsetsTable); + m_chunkTable = make_unique(numChunks, chunks); } @@ -56,7 +67,7 @@ BinaryChunkDeserializer::BinaryChunkDeserializer(const BinaryConfigHelper& helpe { SetTraceLevel(helper.GetTraceLevel()); - Initialize(helper.GetRename()); + Initialize(helper.GetRename(), helper.GetElementType()); } @@ -64,8 +75,8 @@ BinaryChunkDeserializer::BinaryChunkDeserializer(const std::wstring& filename) : DataDeserializerBase(true), m_filename(filename), m_file(nullptr), - m_offsetStart(0), - m_dataStart(0), + m_headerOffset(0), + m_chunkTableOffset(0), m_traceLevel(0) { } @@ -73,103 +84,85 @@ BinaryChunkDeserializer::BinaryChunkDeserializer(const std::wstring& filename) : BinaryChunkDeserializer::~BinaryChunkDeserializer() { if (m_file) - CNTKBinaryFileHelper::closeOrDie(m_file); + CNTKBinaryFileHelper::CloseOrDie(m_file); } -void BinaryChunkDeserializer::Initialize(const std::map& rename) + +void BinaryChunkDeserializer::Initialize(const std::map& rename, ElementType precision) { if (m_file) - CNTKBinaryFileHelper::closeOrDie(m_file); + CNTKBinaryFileHelper::CloseOrDie(m_file); - m_file = CNTKBinaryFileHelper::openOrDie(m_filename, L"rb"); + m_file = CNTKBinaryFileHelper::OpenOrDie(m_filename, L"rb"); - // We are now parsing the header. Seek to the head of the header to start. - CNTKBinaryFileHelper::seekOrDie(m_file, 0, SEEK_SET); + // First, verify the magic number. + CNTKBinaryFileHelper::FindMagicOrDie(m_file, m_filename); + + // Second, read the version number of the data file, and (for now) make sure the reader version is the same. + uint32_t versionNumber = CNTKBinaryFileHelper::GetVersionNumber(m_file); + if (versionNumber != s_currentVersion) + LogicError("The reader version is %" PRIu32 ", but the data file was created for version %" PRIu32 ".", + s_currentVersion, versionNumber); - // First read the version number of the data file, and make sure the reader version is the same. - int64_t versionNumber; - CNTKBinaryFileHelper::readOrDie(&versionNumber, sizeof(versionNumber), 1, m_file); - if (versionNumber != m_versionNumber) - LogicError("The reader version is %d, but the data file was created for version %d.", (int)m_versionNumber, (int)versionNumber); + // Now, find where the header is. + m_headerOffset = CNTKBinaryFileHelper::GetHeaderOffset(m_file); + CNTKBinaryFileHelper::SeekOrDie(m_file, m_headerOffset, SEEK_SET); + // Once again, make sure that the header is well-formed and starts with a magic number. + CNTKBinaryFileHelper::FindMagicOrDie(m_file, m_filename); // Next is the number of chunks in the input file. - CNTKBinaryFileHelper::readOrDie(&m_numChunks, sizeof(m_numChunks), 1, m_file); + CNTKBinaryFileHelper::ReadOrDie(&m_numChunks, sizeof(m_numChunks), 1, m_file); // Next is the number of inputs - CNTKBinaryFileHelper::readOrDie(&m_numInputs, sizeof(m_numInputs), 1, m_file); + CNTKBinaryFileHelper::ReadOrDie(&m_numInputs, sizeof(m_numInputs), 1, m_file); // Reserve space for all of the inputs, and then read them in. m_streams.resize(m_numInputs); m_deserializers.resize(m_numInputs); - int32_t len; - // 100 characters should be plenty by default, but grow if necessary. - vector tempName(100); - for (int32_t c = 0; c < m_numInputs; c++) + for (decltype(m_numInputs) i = 0; i < m_numInputs; i++) { - // Create our streamDescription for this input - auto streamDescription = std::make_shared(); + MatrixEncodingType type; + CNTKBinaryFileHelper::ReadOrDie(&type, sizeof(type), 1, m_file); + if (type == MatrixEncodingType::dense) + m_deserializers[i] = make_shared(m_file, precision); + else if (type == MatrixEncodingType::sparse_csc) + m_deserializers[i] = make_shared(m_file, precision); + else + RuntimeError("Unknown encoding type %u requested.", type); - // read the name - CNTKBinaryFileHelper::readOrDie(&len, sizeof(len), 1, m_file); - // Need 1 extra char for the null. - tempName.resize(len+1); - CNTKBinaryFileHelper::readOrDie(tempName.data(), sizeof(char), len, m_file); - tempName[len] = '\0'; - wstring wname = msra::strfun::utf16(tempName.data()); + auto description = m_deserializers[i]->GetStreamDescription(); + description->m_id = i; // Check if we should rename this input based on the config - if (rename.find(wname) == rename.end()) - streamDescription->m_name = wname; - else - streamDescription->m_name = rename.at(wname); + auto it = rename.find(description->m_name); + if (it != rename.end()) + { + description->m_name = it->second; + } - // Read the matrix type. Then instantiate the appropriate BinaryDataDeserializer, and have it read in its parameters - // Note: Is there a better way to do this? - DeserializerType desType; - CNTKBinaryFileHelper::readOrDie(&desType, sizeof(desType), 1, m_file); - if (desType == DeserializerType::DenseBinaryDataDeserializer) - m_deserializers[c] = make_shared(m_file); - else if (desType == DeserializerType::SparseBinaryDataDeserializer) - m_deserializers[c] = make_shared(m_file); - else - RuntimeError("Unknown deserializer type %d requested.", (int)desType); - - streamDescription->m_id = c; - streamDescription->m_elementType = m_deserializers[c]->GetElementType(); - streamDescription->m_storageType = m_deserializers[c]->GetStorageType(); - streamDescription->m_sampleLayout = m_deserializers[c]->GetSampleLayout(); - m_streams[c] = streamDescription; + m_streams[i] = description; } - // We just finished the header. So we're now at the offsets table. - m_offsetStart = CNTKBinaryFileHelper::tellOrDie(m_file); - - // After the header is the data start. Compute that now. - m_dataStart = m_offsetStart + m_numChunks * sizeof(DiskOffsetsTable); + // We just finished the header. So we're now at the chunk table. + m_chunkTableOffset = CNTKBinaryFileHelper::TellOrDie(m_file); // We only have to read in the offsets table once, so do that now. // Note it's possible in distributed reading mode to only want to read // a subset of the offsets table. - ReadOffsetsTable(m_file); + ReadChunkTable(m_file); } ChunkDescriptions BinaryChunkDeserializer::GetChunkDescriptions() { - assert(m_offsetsTable); + assert(m_chunkTable); + ChunkDescriptions result; result.reserve(m_numChunks); - if (m_numChunks > CHUNKID_MAX) - RuntimeError("Currently CNTK does not support %d chunks. The maximum number of chunks allowed is %d.", (int)m_numChunks, (int)CHUNKID_MAX); - - for (ChunkIdType c = 0; c < (ChunkIdType)m_numChunks; c++ ) + for (ChunkIdType i = 0; i < m_numChunks; i++ ) { result.push_back(shared_ptr( - new ChunkDescription { - c, - (size_t)m_offsetsTable->GetNumSamples(c), - (size_t)m_offsetsTable->GetNumSequences(c) - })); + new ChunkDescription{ i, m_chunkTable->GetNumSamples(i), m_chunkTable->GetNumSequences(i) })); } return result; @@ -178,33 +171,25 @@ ChunkDescriptions BinaryChunkDeserializer::GetChunkDescriptions() void BinaryChunkDeserializer::GetSequencesForChunk(ChunkIdType chunkId, std::vector& result) { // Reserve space for each sequence - result.reserve(m_offsetsTable->GetNumSequences(chunkId)); + result.reserve(m_chunkTable->GetNumSequences(chunkId)); - // We don't store every piece of sequence information, so we have to read the chunk in, parse it, and then - // find the information. - // BUGBUG: Note this requires reading each chunk twice. This might not be hugely disadvantageous due to OS - // caching, but should be avoided none the less. - ChunkPtr chunk = GetChunk(chunkId); + auto offset = m_chunkTable->GetOffset(chunkId); + auto numberOfSequences = m_chunkTable->GetNumSequences(chunkId); + unique_ptr numSamplesPerSequence(new uint32_t[numberOfSequences]); - size_t startId = m_offsetsTable->GetStartIndex(chunkId); - std::vector temp; - for (size_t c = 0; c < m_offsetsTable->GetNumSequences(chunkId); c++) + // Seek to the start of the chunk + CNTKBinaryFileHelper::SeekOrDie(m_file, offset, SEEK_SET); + // read 'numberOfSequences' unsigned ints + CNTKBinaryFileHelper::ReadOrDie(numSamplesPerSequence.get(), sizeof(uint32_t), numberOfSequences, m_file); + + auto startId = m_chunkTable->GetStartIndex(chunkId); + for (decltype(numberOfSequences) i = 0; i < numberOfSequences; i++) { - // BUGBUG: This is inefficient, but we don't have a choice. Why do we need this at all? Why can't - // this information just be gotten from the chunks? It's not clear. - // Note numSamples is 1 if there are no sequences. - uint32_t numSamples = 1; - temp.clear(); - chunk->GetSequence(m_offsetsTable->GetStartIndex(chunkId) + c, temp); - // Only take the max over streams that are actually in use. - for (size_t i = 0; i < temp.size(); i++) - numSamples = max(numSamples, temp[i]->m_numberOfSamples); - SequenceDescription sd = {}; - sd.m_indexInChunk = startId + c; - sd.m_numberOfSamples = numSamples; + sd.m_indexInChunk = i; + sd.m_numberOfSamples = numSamplesPerSequence[i]; sd.m_chunkId = chunkId; - sd.m_key.m_sequence = startId + c; + sd.m_key.m_sequence = startId + i; sd.m_key.m_sample = 0; result.push_back(sd); @@ -213,17 +198,18 @@ void BinaryChunkDeserializer::GetSequencesForChunk(ChunkIdType chunkId, std::vec unique_ptr BinaryChunkDeserializer::ReadChunk(ChunkIdType chunkId) { - // Seek to the start of the chunk - CNTKBinaryFileHelper::seekOrDie(m_file, m_dataStart + m_offsetsTable->GetOffset(chunkId), SEEK_SET); + // Seek to the start of the data portion in the chunk + CNTKBinaryFileHelper::SeekOrDie(m_file, m_chunkTable->GetDataStartOffset(chunkId), SEEK_SET); // Determine how big the chunk is. - size_t chunkSize = m_offsetsTable->GetChunkSize(chunkId); + size_t chunkSize = m_chunkTable->GetChunkSize(chunkId); // Create buffer + // TODO: use a pool of buffers instead of allocating a new one, each time a chunk is read. unique_ptr buffer(new byte[chunkSize]); // Read the chunk from disk - CNTKBinaryFileHelper::readOrDie(buffer.get(), sizeof(byte), chunkSize, m_file); + CNTKBinaryFileHelper::ReadOrDie(buffer.get(), sizeof(byte), chunkSize, m_file); return buffer; } @@ -232,9 +218,9 @@ unique_ptr BinaryChunkDeserializer::ReadChunk(ChunkIdType chunkId) ChunkPtr BinaryChunkDeserializer::GetChunk(ChunkIdType chunkId) { // Read the chunk into memory - unique_ptr chunkBuffer = ReadChunk(chunkId); + unique_ptr buffer = ReadChunk(chunkId); - return make_shared(chunkId, m_offsetsTable->GetStartIndex(chunkId), m_offsetsTable->GetNumSequences(chunkId), std::move(chunkBuffer), m_deserializers); + return make_shared(chunkId, m_chunkTable->GetNumSequences(chunkId), std::move(buffer), m_deserializers); } void BinaryChunkDeserializer::SetTraceLevel(unsigned int traceLevel) diff --git a/Source/Readers/CNTKBinaryReader/BinaryChunkDeserializer.h b/Source/Readers/CNTKBinaryReader/BinaryChunkDeserializer.h index c57788a1e..a79c80d14 100644 --- a/Source/Readers/CNTKBinaryReader/BinaryChunkDeserializer.h +++ b/Source/Readers/CNTKBinaryReader/BinaryChunkDeserializer.h @@ -13,55 +13,78 @@ namespace Microsoft { namespace MSR { namespace CNTK { -// Offsets table used to find the chunks in the binary file. Added some helper methods around the core data. -#pragma pack(push, 1) -struct DiskOffsetsTable +// Chunk meta-info: byte offset in the inputfile, number of sequences and samples in the chunk. +struct ChunkInfo { int64_t offset; - int32_t numSequences; - int32_t numSamples; + uint32_t numSequences; + uint32_t numSamples; }; -#pragma pack(pop) - // Offsets table used to find the chunks in the binary file. Added some helper methods around the core data. -class OffsetsTable { +// Chunk table used to find the chunks in the binary file. Added some helper methods around the core data. +class ChunkTable { public: - OffsetsTable(size_t numChunks, DiskOffsetsTable* offsetsTable) : m_numChunks(numChunks) + ChunkTable(uint32_t numChunks, ChunkInfo* offsetsTable) : + m_numChunks(numChunks), + m_diskOffsetsTable(offsetsTable), + m_startIndex(numChunks) { - m_diskOffsetsTable = make_unique(offsetsTable); - Initialize(); + uint64_t numSequences = 0; + for (decltype(m_numChunks) i = 0; i < m_numChunks; i++) + { + m_startIndex[i] = numSequences; + numSequences += m_diskOffsetsTable[i].numSequences; + } } - int64_t GetOffset(size_t index) { return (*m_diskOffsetsTable)[index].offset; } - int32_t GetNumSequences(size_t index) { return (*m_diskOffsetsTable)[index].numSequences; } - int32_t GetNumSamples(size_t index) { return (*m_diskOffsetsTable)[index].numSamples; } - int64_t GetStartIndex(size_t index) { return m_startIndex[index]; } - size_t GetChunkSize(size_t index) { return (*m_diskOffsetsTable)[index + 1].offset - (*m_diskOffsetsTable)[index].offset; } + int64_t GetOffset(uint32_t index) + { + return m_diskOffsetsTable[index].offset; + } -private: - void Initialize() + int64_t GetDataStartOffset(uint32_t index) { - m_startIndex.resize(m_numChunks); - m_startIndex[0] = 0; - for (int64_t c = 1; c < m_numChunks; c++) - m_startIndex[c] = m_startIndex[c-1] + (*m_diskOffsetsTable)[c].numSequences; + auto sequenceLengthPrefix = GetNumSequences(index) * sizeof(uint32_t); + return GetOffset(index) + sequenceLengthPrefix; + } + + uint32_t GetNumSequences(uint32_t index) + { + return m_diskOffsetsTable[index].numSequences; + } + + uint32_t GetNumSamples(uint32_t index) + { + return m_diskOffsetsTable[index].numSamples; + } + + int64_t GetStartIndex(uint32_t index) + { + return m_startIndex.at(index); + } + + uint64_t GetChunkSize(uint32_t index) + { + auto dataStartOffset = GetDataStartOffset(index); + auto dataEndOffset = GetOffset(index + 1); + return dataEndOffset - dataStartOffset; } private: - int64_t m_numChunks; - unique_ptr m_diskOffsetsTable; - vector m_startIndex; + uint32_t m_numChunks; + unique_ptr m_diskOffsetsTable; + vector m_startIndex; }; -typedef unique_ptr OffsetsTablePtr; +typedef unique_ptr ChunkTablePtr; // TODO: more details when tracing warnings class BinaryChunkDeserializer : public DataDeserializerBase { public: explicit BinaryChunkDeserializer(const BinaryConfigHelper& helper); - BinaryChunkDeserializer(CorpusDescriptorPtr corpus, const BinaryConfigHelper& helper); + BinaryChunkDeserializer(CorpusDescriptorPtr corpus, const BinaryConfigHelper& helper) = delete; ~BinaryChunkDeserializer(); @@ -74,16 +97,13 @@ public: // Get information about particular chunk. void GetSequencesForChunk(ChunkIdType chunkId, vector& result) override; - // Parses buffer into a BinaryChunkPtr - void ParseChunk(ChunkIdType chunkId, unique_ptr const& buffer, std::vector>& data); - private: // Builds an index of the input data. - void Initialize(const std::map& rename); + void Initialize(const std::map& rename, ElementType precision); - // Reads the offsets table from disk into memory - void ReadOffsetsTable(FILE* infile, size_t startOffset, size_t numChunks); - void ReadOffsetsTable(FILE* infile); + // Reads the chunk table from disk into memory + void ReadChunkTable(FILE* infile, uint32_t firstChunkIdx, uint32_t numChunks); + void ReadChunkTable(FILE* infile); // Reads a chunk from disk into buffer unique_ptr ReadChunk(ChunkIdType chunkId); @@ -96,22 +116,23 @@ private: const wstring m_filename; FILE* m_file; - int64_t m_offsetStart; - int64_t m_dataStart; - + int64_t m_headerOffset, m_chunkTableOffset; std::vector m_deserializers; - OffsetsTablePtr m_offsetsTable; + ChunkTablePtr m_chunkTable; void* m_chunkBuffer; - int64_t m_versionNumber = 1; - int64_t m_numChunks; - int32_t m_numInputs; + + uint32_t m_numChunks; + uint32_t m_numInputs; unsigned int m_traceLevel; + static const uint32_t s_currentVersion = 1; + friend class CNTKBinaryReaderTestRunner; + DISABLE_COPY_AND_MOVE(BinaryChunkDeserializer); }; }}} diff --git a/Source/Readers/CNTKBinaryReader/BinaryConfigHelper.cpp b/Source/Readers/CNTKBinaryReader/BinaryConfigHelper.cpp index 3599604c2..ae8b16083 100644 --- a/Source/Readers/CNTKBinaryReader/BinaryConfigHelper.cpp +++ b/Source/Readers/CNTKBinaryReader/BinaryConfigHelper.cpp @@ -48,6 +48,20 @@ namespace Microsoft { namespace MSR { namespace CNTK { } } + string precision = config.Find("precision", "float"); + if (AreEqualIgnoreCase(precision, "double")) + { + m_elementType = ElementType::tdouble; + } + else if (AreEqualIgnoreCase(precision, "float")) + { + m_elementType = ElementType::tfloat; + } + else + { + RuntimeError("Not supported precision '%s'. Expected 'double' or 'float'.", precision.c_str()); + } + m_filepath = msra::strfun::utf16(config(L"file")); m_keepDataInMemory = config(L"keepDataInMemory", false); diff --git a/Source/Readers/CNTKBinaryReader/BinaryConfigHelper.h b/Source/Readers/CNTKBinaryReader/BinaryConfigHelper.h index a17e15fe4..31c7c1648 100644 --- a/Source/Readers/CNTKBinaryReader/BinaryConfigHelper.h +++ b/Source/Readers/CNTKBinaryReader/BinaryConfigHelper.h @@ -34,11 +34,14 @@ public: bool ShouldKeepDataInMemory() const { return m_keepDataInMemory; } + ElementType GetElementType() const { return m_elementType; } + DISABLE_COPY_AND_MOVE(BinaryConfigHelper); private: std::wstring m_filepath; std::map m_streams; + ElementType m_elementType; size_t m_randomizationWindow; // Specifies how to interpret randomization window, if true randomization window == number of samples, else // randomization window = number of chunks (default). diff --git a/Source/Readers/CNTKBinaryReader/BinaryDataChunk.h b/Source/Readers/CNTKBinaryReader/BinaryDataChunk.h index 8a19182fb..553f6f4e7 100644 --- a/Source/Readers/CNTKBinaryReader/BinaryDataChunk.h +++ b/Source/Readers/CNTKBinaryReader/BinaryDataChunk.h @@ -15,30 +15,37 @@ namespace Microsoft { namespace MSR { namespace CNTK { class BinaryDataChunk : public Chunk, public std::enable_shared_from_this { public: - explicit BinaryDataChunk(ChunkIdType chunkId, size_t startSequence, size_t numSequences, unique_ptr buffer, std::vector deserializer) - : m_chunkId(chunkId), m_startSequence(startSequence), m_numSequences(numSequences), m_buffer(std::move(buffer)), m_deserializers(deserializer) - { - } + explicit BinaryDataChunk(ChunkIdType chunkId, + size_t numSequences, + unique_ptr buffer, + std::vector deserializer) + : m_chunkId(chunkId), + m_numSequences(numSequences), + m_buffer(std::move(buffer)), + m_deserializers(deserializer) + { } - // Gets sequences by id. - void GetSequence(size_t sequenceId, std::vector& result) override + // Gets a sequence using its index inside the chunk. + void GetSequence(size_t sequenceIdx, std::vector& result) override { // Check if we've already parsed the chunk. If not, parse it. if (m_data.size() == 0) ParseChunk(); + assert(m_data.size() != 0); + // resize the output to have the same dimensionality result.resize(m_data.size()); // now copy the decoded sequences - for (size_t c = 0; c < m_data.size(); c++) - result[c] = m_data[c].at(sequenceId - m_startSequence); + for (size_t i = 0; i < m_data.size(); i++) + result[i] = m_data[i].at(sequenceIdx); } - uint32_t GetNumSamples(size_t sequenceId) + uint32_t GetNumSamples(size_t sequenceIdx) { uint32_t numSamples = 0; - for (size_t c = 0; c < m_data.size(); c++) - numSamples = max(numSamples, m_data[c].at(sequenceId)->m_numberOfSamples); + for (size_t i = 0; i < m_data.size(); i++) + numSamples = max(numSamples, m_data[i].at(sequenceIdx)->m_numberOfSamples); return numSamples; } @@ -50,15 +57,13 @@ protected: // the number of bytes of buffer that have been processed by the deserializer so far size_t bytesProcessed = 0; // Now call all of the deserializers on the chunk, in order - for (size_t c = 0; c < m_deserializers.size(); c++) - bytesProcessed += m_deserializers[c]->GetSequenceDataForChunk(m_numSequences, (byte*)m_buffer.get() + bytesProcessed, m_data[c]); + for (size_t i = 0; i < m_deserializers.size(); i++) + bytesProcessed += m_deserializers[i]->GetSequenceDataForChunk(m_numSequences, m_buffer.get() + bytesProcessed, m_data[i]); } // chunk id (copied from the descriptor) ChunkIdType m_chunkId; - // start id for sequences in this chunk. - size_t m_startSequence; // num sequences in this chunk. Note this should be in the chunk, but for simplicity it is in the offsets table // so we must tell the chunk where it starts. size_t m_numSequences; diff --git a/Source/Readers/CNTKBinaryReader/BinaryDataDeserializer.h b/Source/Readers/CNTKBinaryReader/BinaryDataDeserializer.h index a24ea0f5b..06e5f8c4b 100644 --- a/Source/Readers/CNTKBinaryReader/BinaryDataDeserializer.h +++ b/Source/Readers/CNTKBinaryReader/BinaryDataDeserializer.h @@ -14,40 +14,102 @@ namespace Microsoft { namespace MSR { namespace CNTK { -class BinaryDataDeserialzer { +class BinaryDataDeserialzer +{ public: + + BinaryDataDeserialzer(FILE* file, ElementType precision = ElementType::tfloat) + { + ReadName(file); + ReadDataType(file); + ReadSampleSize(file); + + if (precision != ElementType::tfloat && precision != ElementType::tdouble) + LogicError("Unsupported precision type %u.", precision); + + if ((m_dataType == DataType::tfloat && precision != ElementType::tfloat) || + (m_dataType == DataType::tdouble && precision != ElementType::tdouble)) + LogicError("Unsupported combination of the input data type %u and precision %u. " + "At the moment, both have to match.", m_dataType, precision); + + m_precision = precision; + } + virtual size_t GetSequenceDataForChunk(size_t numSequences, void* data, std::vector& result) = 0; - StorageType GetStorageType() { return m_storageType; } - ElementType GetElementType() { return m_elemType; } - TensorShapePtr GetSampleLayout() { return make_shared(m_numCols); } - virtual bool IsSequence() { return false; } + virtual StorageType GetStorageType() = 0; - size_t GetElemSizeBytes() + StreamDescriptionPtr GetStreamDescription() { - if (m_elemType == ElementType::tfloat) + auto streamDescription = std::make_shared(); + streamDescription->m_elementType = m_precision; + streamDescription->m_storageType = GetStorageType(); + streamDescription->m_sampleLayout = GetSampleLayout(); + streamDescription->m_name = m_name; + return streamDescription; + } + + TensorShapePtr GetSampleLayout() + { + return make_shared(m_sampleDimension); + } + + size_t SizeOfDataType() + { + if (m_dataType == DataType::tfloat) return sizeof(float); - else if (m_elemType == ElementType::tdouble) + if (m_dataType == DataType::tdouble) return sizeof(double); - else - LogicError("Error, elemtype is not defined for BinaryDataDeserializer."); + + LogicError("Unsupported input data type %u.", m_dataType); } protected: + + enum class DataType : unsigned char + { + tfloat = 0, + tdouble = 1, + // TODO: + // tbool = 2, 1 bit per value (one-hot data) + // tbyte = 3, 1 byte per value + }; + + virtual ~BinaryDataDeserialzer() = default; + + void ReadName(FILE* file) + { + uint32_t len; + // read the name + CNTKBinaryFileHelper::ReadOrDie(&len, sizeof(len), 1, file); + vector temp(len + 1 , '\0'); + CNTKBinaryFileHelper::ReadOrDie(temp.data(), sizeof(char), len, file); + m_name = msra::strfun::utf16(temp.data()); + } + + void ReadDataType(FILE* file) + { + CNTKBinaryFileHelper::ReadOrDie(&m_dataType, sizeof(m_dataType), 1, file); + if (m_dataType> DataType::tdouble) + RuntimeError("Unsupported input data type %u.", m_dataType); + } + + void ReadSampleSize(FILE* file) + { + CNTKBinaryFileHelper::ReadOrDie(&m_sampleDimension, sizeof(m_sampleDimension), 1, file); + } + struct DenseInputStreamBuffer : DenseSequenceData { - // capacity = expected number of samples * sample size const void* GetDataBuffer() override { return m_data; } void* m_data; + DataType m_dataType; }; - // In case of sparse input, we also need a vector of - // indices (one index for each input value) and a vector - // of NNZ counts (one for each sample). struct SparseInputStreamBuffer : SparseSequenceData { SparseInputStreamBuffer() @@ -60,16 +122,13 @@ protected: return m_data; } - std::vector m_indicesBuffer; void* m_data; }; - -protected: - StorageType m_storageType; - ElementType m_elemType; - size_t m_numCols; - + ElementType m_precision; + DataType m_dataType; + uint32_t m_sampleDimension; + wstring m_name; }; typedef shared_ptr BinaryDataDeserializerPtr; @@ -77,156 +136,108 @@ typedef shared_ptr BinaryDataDeserializerPtr; class DenseBinaryDataDeserializer : public BinaryDataDeserialzer { public: - DenseBinaryDataDeserializer(FILE* infile) - { - // We don't have to read the storage type. We know we're dense - m_storageType = StorageType::dense; + using BinaryDataDeserialzer::BinaryDataDeserialzer; - // Read the element type, note it's stored as an int32 - int32_t elemType; - CNTKBinaryFileHelper::readOrDie(&elemType, sizeof(elemType), 1, infile); - if (elemType == 0) - m_elemType = ElementType::tfloat; - else if (elemType == 1) - m_elemType = ElementType::tdouble; - else - RuntimeError("Unsupported element type %d.", elemType); - - // Read the number of columns - int32_t numCols; - CNTKBinaryFileHelper::readOrDie(&numCols, sizeof(numCols), 1, infile); - m_numCols = numCols; - } + virtual StorageType GetStorageType() override { return StorageType::dense; } size_t GetSequenceDataForChunk(size_t numSequences, void* data, std::vector& result) { - size_t elemSize = GetElemSizeBytes(); + size_t valueSize = SizeOfDataType(); result.resize(numSequences); - for (size_t c = 0; c < numSequences; c++) + size_t offset = 0; + for (size_t i = 0; i < numSequences; i++) { - shared_ptr sequence = make_shared(); - sequence->m_data = (char*)data + c*m_numCols*elemSize; - sequence->m_numberOfSamples = 1; - sequence->m_sampleLayout = std::make_shared(m_numCols); - result[c] = sequence; + shared_ptr sequenceDataPtr = make_shared(); + sequenceDataPtr->m_numberOfSamples = *(uint32_t*)((char*)data + offset); + offset += sizeof(uint32_t); + sequenceDataPtr->m_data = (char*)data + offset; + sequenceDataPtr->m_sampleLayout = GetSampleLayout(); + sequenceDataPtr->m_elementType = m_precision; + result[i] = sequenceDataPtr; + offset += m_sampleDimension * valueSize * sequenceDataPtr->m_numberOfSamples; } - // For dense, the number of bytes processed is just numRows * numCols * elemSize; - return numSequences * m_numCols * elemSize; + return offset; } - }; class SparseBinaryDataDeserializer : public BinaryDataDeserialzer { public: - SparseBinaryDataDeserializer(FILE* infile) + SparseBinaryDataDeserializer(FILE* file, ElementType precision = ElementType::tfloat) + :BinaryDataDeserialzer(file, precision) { - // Read the storage type. Currently we only support sparse_csc, - // but for future compatability allow it to be a parameter. - int32_t storageType; - CNTKBinaryFileHelper::readOrDie(&storageType, sizeof(storageType), 1, infile); - if (storageType == 0) - m_storageType = StorageType::sparse_csc; - else - RuntimeError("Unsupported storage type %d.", storageType); - - // Read the element type, note it's stored as an int32 - int32_t elemType; - CNTKBinaryFileHelper::readOrDie(&elemType, sizeof(elemType), 1, infile); - if (elemType== 0) - m_elemType = ElementType::tfloat; - else if (elemType == 1) - m_elemType = ElementType::tdouble; - else - RuntimeError("Unsupported element type %d.", elemType); - - int32_t isSequence; - CNTKBinaryFileHelper::readOrDie(&isSequence, sizeof(isSequence), 1, infile); - if (isSequence == 0) - m_isSequence = false; - else if (isSequence == 1) - m_isSequence = true; - else - RuntimeError("Unsupported sequence type %d.", isSequence); - - // Read the number of columns - int32_t numCols; - CNTKBinaryFileHelper::readOrDie(&numCols, sizeof(numCols), 1, infile); - m_numCols = numCols; + if (IndexType(m_sampleDimension) < 0) + { + RuntimeError("Sample dimension is too large for an IndexType value."); + } } - - bool IsSequence() override { return m_isSequence; } + + virtual StorageType GetStorageType() override { return StorageType::sparse_csc; } // The format of data is: - // int32_t: nnz for the entire chunk - // ElemType[nnz]: the values for the sparse sequences - // int32_t[nnz]: the row offsets for the sparse sequences - // int32_t[numSequences]: the column offsets for the sparse sequences + // sequence[numSequences], where each sequence consists of: + // uint32_t: numSamples + // uint32_t: nnz for the sequence + // ElemType[nnz]: the values for the sparse sequences + // int32_t[nnz]: the row offsets for the sparse sequences + // int32_t[numSamples]: sizes (nnz counts) for each sample in the sequence size_t GetSequenceDataForChunk(size_t numSequences, void* data, std::vector& result) { - size_t elemSize = GetElemSizeBytes(); + size_t offset = 0; result.resize(numSequences); - - // For sparse, the first int32_t is the number of nnz values in the entire set of sequences - int32_t totalNNz = *(int32_t*)data; - - // the rest of this chunk - // Since we're not templating on ElemType, we use void for the values. Note that this is the only place - // this deserializer uses ElemType, the rest are int32_t for this deserializer. - void* values = (char*)data + sizeof(int32_t); - - // Now the row offsets - int32_t* rowOffsets = (int32_t*)((char*)values + elemSize * totalNNz); - - // Now the col offsets - int32_t* colOffsets = rowOffsets + totalNNz; - - // Now we setup some helper members to process the chunk - for (size_t colIndex = 0; colIndex < numSequences; colIndex++) + for (size_t i = 0; i < numSequences; i++) { - shared_ptr sequence = make_shared(); - // We can't popuplate sequence->m_chunk here, so delay that for later - - // We know the number of elements in all of the samples, it's just this: - sequence->m_totalNnzCount = colOffsets[colIndex + 1] - colOffsets[colIndex]; - - // The values array is already properly packed, so just use it. - sequence->m_data = values; - - // The indices are correct (note they MUST BE IN INCREASING ORDER), but we will have to fix them up a - // little bit, for now just use them - sequence->m_indices = rowOffsets; - for (int32_t curRow = 0; curRow < sequence->m_totalNnzCount; curRow++) - { - // Get the sample for the current index - size_t sampleNum = rowOffsets[curRow] / m_numCols; - // The current sample might be OOB, if so, fill in the the missing ones. - while(sequence->m_nnzCounts.size() < sampleNum+1) - sequence->m_nnzCounts.push_back(0); - // Now that we have enough samples, increment the nnz for the sample - sequence->m_nnzCounts[sampleNum] += 1; - // Now that we've found it's sample, fix up the index. - rowOffsets[curRow] %= m_numCols; - } - sequence->m_numberOfSamples = (uint32_t)sequence->m_nnzCounts.size(); - // update values, rowOffsets pointers - values = (char*)values + sequence->m_totalNnzCount * elemSize; - rowOffsets += sequence->m_totalNnzCount; - - result[colIndex] = sequence; + shared_ptr sequenceDataPtr = make_shared(); + offset += GetSequenceData((char*)data + offset, sequenceDataPtr); + sequenceDataPtr->m_sampleLayout = GetSampleLayout(); + sequenceDataPtr->m_elementType = m_precision; + result[i] = sequenceDataPtr; } - // For sparse, we compute how many bytes we processed - // From the header to this function, we see that is: - // sizeof(int32_t) + totalNNz * sizeof(ElemType) + totalNNz * sizeof(int32_t) + numSequences * sizeof(int32_t) - return sizeof(int32_t) + totalNNz * (elemSize + sizeof(int32_t)) + (numSequences + 1) * sizeof(int32_t); + return offset; } -private: - bool m_isSequence; + size_t GetSequenceData(void* data, shared_ptr& sequence) + { + size_t valueSize = SizeOfDataType(); + size_t offset = 0; + // The very first value in the buffer is the number of samples in this sequence. + sequence->m_numberOfSamples = *(uint32_t*)data; + offset += sizeof(uint32_t); + // Next is the total number of elements in all of the samples. + uint32_t nnz = *(uint32_t*)((char*)data + offset); + if (IndexType(nnz) < 0) + { + RuntimeError("NNZ count is too large for an IndexType value."); + } + sequence->m_totalNnzCount = nnz; + offset += sizeof(uint32_t); + + + + // the rest of this sequence + // Since we're not templating on ElemType, we use void for the values. Note that this is the only place + // this deserializer uses ElemType, the rest are int32_t for this deserializer. + // The data is already properly packed, so just use it. + sequence->m_data = (char*)data + offset; + offset += valueSize * sequence->m_totalNnzCount; + + // The indices are supposed to be correctly packed (i.e., in increasing order) + sequence->m_indices = (int32_t*)((char*)data + offset); + offset += sizeof(int32_t) * sequence->m_totalNnzCount; + + int32_t* begin = (int32_t*)((char*)data + offset); + offset += sizeof(int32_t) * sequence->m_numberOfSamples; + int32_t* end = (int32_t*)((char*)data + offset); + + sequence->m_nnzCounts.reserve(sequence->m_numberOfSamples); + sequence->m_nnzCounts.assign(begin, end); + + return offset; + } }; diff --git a/Source/Readers/CNTKBinaryReader/CNTKBinaryReader.cpp b/Source/Readers/CNTKBinaryReader/CNTKBinaryReader.cpp index 182e6e192..334ff77a7 100644 --- a/Source/Readers/CNTKBinaryReader/CNTKBinaryReader.cpp +++ b/Source/Readers/CNTKBinaryReader/CNTKBinaryReader.cpp @@ -23,8 +23,8 @@ CNTKBinaryReader::CNTKBinaryReader(const ConfigParameters& config) { BinaryConfigHelper configHelper(config); - string log; - log += "Initializing CNTKBinaryReader"; + std::stringstream log; + log << "Initializing CNTKBinaryReader"; try { m_deserializer = shared_ptr(new BinaryChunkDeserializer(configHelper)); @@ -32,14 +32,16 @@ CNTKBinaryReader::CNTKBinaryReader(const ConfigParameters& config) if (configHelper.ShouldKeepDataInMemory()) { m_deserializer = shared_ptr(new ChunkCache(m_deserializer)); - log += " | keeping data in memory"; + log << " | keeping data in memory"; } size_t window = configHelper.GetRandomizationWindow(); if (window > 0) { // Verbosity is a general config parameter, not specific to the binary format reader. - log += " | randomizing with window: " + (int)window; + log << " | randomizing with window: " + << window + << configHelper.UseSampleBasedRandomizationWindow() ? " samples" : " chunks"; int verbosity = config(L"verbosity", 0); m_sequenceEnumerator = make_shared( verbosity, /* verbosity */ @@ -52,7 +54,7 @@ CNTKBinaryReader::CNTKBinaryReader(const ConfigParameters& config) } else { - log += " | without randomization"; + log << " | without randomization"; m_sequenceEnumerator = std::make_shared(m_deserializer); } @@ -64,7 +66,7 @@ CNTKBinaryReader::CNTKBinaryReader(const ConfigParameters& config) RuntimeError("CNTKBinaryReader: While reading '%ls': %s", configHelper.GetFilePath().c_str(), e.what()); } if (configHelper.GetTraceLevel() > 2) - fprintf(stderr, "%s\n", log.c_str()); + fprintf(stderr, "%s\n", log.str().c_str()); } } } } diff --git a/Source/Readers/CNTKBinaryReader/FileHelper.h b/Source/Readers/CNTKBinaryReader/FileHelper.h index caa8e3472..ce0ee0bef 100644 --- a/Source/Readers/CNTKBinaryReader/FileHelper.h +++ b/Source/Readers/CNTKBinaryReader/FileHelper.h @@ -34,6 +34,31 @@ namespace Microsoft { namespace MSR { namespace CNTK { class CNTKBinaryFileHelper { public: + static const uint64_t MAGIC_NUMBER = 0x636e746b5f62696eU; + + static void FindMagicOrDie(FILE* f, wstring name) { + // Read the magic number and make sure we're given a proper CBF file. + uint64_t number; + ReadOrDie(&number, sizeof(number), 1, f); + if (number != MAGIC_NUMBER) + RuntimeError("The input (%S) is not a valid CNTK binary format file.", + name.c_str()); + } + + static uint32_t GetVersionNumber(FILE* f) { + uint32_t versionNumber; + ReadOrDie(&versionNumber, sizeof(versionNumber), 1, f); + return versionNumber; + } + + static int64_t GetHeaderOffset(FILE* f) { + // Seek to the end of file -8 bytes to find the offset of the header. + SeekOrDie(f, -int64_t(sizeof(int64_t)), SEEK_END); + int64_t headerOffset; + ReadOrDie(&headerOffset, sizeof(headerOffset), 1, f); + return headerOffset; + } + static FILE* openOrDie(const string& pathname, const char* mode) { FILE* f = fopen(pathname.c_str(), mode); @@ -42,7 +67,7 @@ public: return f; } - static FILE* openOrDie(const wstring& pathname, const wchar_t* mode) + static FILE* OpenOrDie(const wstring& pathname, const wchar_t* mode) { FILE* f = _wfopen(pathname.c_str(), mode); if (!f) @@ -50,14 +75,14 @@ public: return f; } - static void closeOrDie(FILE* f) + static void CloseOrDie(FILE* f) { int rc = fclose(f); if (rc != 0) RuntimeError("Error closing: %s.", strerror(errno)); } - static void seekOrDie(FILE* f, int64_t offset, int mode) + static void SeekOrDie(FILE* f, int64_t offset, int mode) { int rc; #ifdef __WINDOWS__ @@ -69,7 +94,7 @@ public: RuntimeError("Error seeking: %s.", strerror(errno)); } - static int64_t tellOrDie(FILE* f) + static int64_t TellOrDie(FILE* f) { size_t rc; #ifdef __WINDOWS__ @@ -82,7 +107,7 @@ public: return rc; } - static void readOrDie(void* ptr, size_t size, size_t count, FILE* f) + static void ReadOrDie(void* ptr, size_t size, size_t count, FILE* f) { size_t rc; rc = fread(ptr, size, count, f); diff --git a/Tests/EndToEndTests/UnitTests/ReaderTests/baseline.txt b/Tests/EndToEndTests/UnitTests/ReaderTests/baseline.txt index 161653242..c52c46e36 100644 --- a/Tests/EndToEndTests/UnitTests/ReaderTests/baseline.txt +++ b/Tests/EndToEndTests/UnitTests/ReaderTests/baseline.txt @@ -1431,16 +1431,22 @@ Test module "ReaderTests" has passed with: 95 test cases out of 95 passed 16971350 assertions out of 16971350 passed - Test case "ReaderTestSuite/CNTKBinaryReader_sparse_seq" has passed with: - 1 assertion out of 1 passed - - Test case "ReaderTestSuite/CNTKBinaryReader_Simple_sparse" has passed with: - 1 assertion out of 1 passed - Test case "ReaderTestSuite/CNTKBinaryReader_Simple_dense" has passed with: 1 assertion out of 1 passed - Test case "ReaderTestSuite/CNTKBinaryReader_Simple_dense2" has passed with: + Test case "ReaderTestSuite/CNTKBinaryReader_MNIST_dense" has passed with: + 1 assertion out of 1 passed + + Test case "ReaderTestSuite/CNTKBinaryReader_10x10_dense" has passed with: + 1 assertion out of 1 passed + + Test case "ReaderTestSuite/CNTKBinaryReader_50x20_jagged_sequences_dense" has passed with: + 1 assertion out of 1 passed + + Test case "ReaderTestSuite/CNTKBinaryReader_10x10_sparse" has passed with: + 1 assertion out of 1 passed + + Test case "ReaderTestSuite/CNTKBinaryReader_50x20_jagged_sequences_sparse" has passed with: 1 assertion out of 1 passed Test case "ReaderTestSuite/CNTKTextFormatReader_Simple_dense" has passed with: diff --git a/Tests/UnitTests/ReaderTests/CNTKBinaryReaderTests.cpp b/Tests/UnitTests/ReaderTests/CNTKBinaryReaderTests.cpp index 7fb33fc23..9855297aa 100644 --- a/Tests/UnitTests/ReaderTests/CNTKBinaryReaderTests.cpp +++ b/Tests/UnitTests/ReaderTests/CNTKBinaryReaderTests.cpp @@ -9,9 +9,7 @@ using namespace Microsoft::MSR::CNTK; -namespace Microsoft { namespace MSR { namespace CNTK { - -namespace Test { +namespace Microsoft { namespace MSR { namespace CNTK { namespace Test { struct CNTKBinaryReaderFixture : ReaderFixture { @@ -23,75 +21,116 @@ struct CNTKBinaryReaderFixture : ReaderFixture BOOST_FIXTURE_TEST_SUITE(ReaderTestSuite, CNTKBinaryReaderFixture) -BOOST_AUTO_TEST_CASE(CNTKBinaryReader_sparse_seq) -{ - HelperRunReaderTest( - testDataPath() + "/Config/CNTKBinaryReader/test.cntk", - testDataPath() + "/Control/CNTKBinaryReader/Simple_sparse_seq.txt", - testDataPath() + "/Control/CNTKBinaryReader/Simple_sparse_seq_Output.txt", - "SparseSeq", - "reader", - 1500, // epoch size - 250, // mb size - 1, // num epochs - 2, - 2, - 0, - 1, true, false, false); -}; - -BOOST_AUTO_TEST_CASE(CNTKBinaryReader_Simple_sparse) -{ - HelperRunReaderTest( - testDataPath() + "/Config/CNTKBinaryReader/test.cntk", - testDataPath() + "/Control/CNTKBinaryReader/Simple_sparse.txt", - testDataPath() + "/Control/CNTKBinaryReader/Simple_sparse_Output.txt", - "Sparse", - "reader", - 1600, // epoch size - 250, // mb size - 1, // num epochs - 2, - 2, - 0, - 1, true, false, false); -}; BOOST_AUTO_TEST_CASE(CNTKBinaryReader_Simple_dense) { HelperRunReaderTest( testDataPath() + "/Config/CNTKBinaryReader/test.cntk", - testDataPath() + "/Control/CNTKBinaryReader/Simple_dense.txt", + testDataPath() + "/Control/CNTKTextFormatReader/Simple_dense.txt", testDataPath() + "/Control/CNTKBinaryReader/Simple_dense_Output.txt", "Simple", "reader", - 1600, // epoch size + 1000, // epoch size 250, // mb size - 1, // num epochs - 4, + 10, // num epochs + 1, + 1, 0, - 0, - 1, false, false, false); + 1); }; -BOOST_AUTO_TEST_CASE(CNTKBinaryReader_Simple_dense2) +BOOST_AUTO_TEST_CASE(CNTKBinaryReader_MNIST_dense) +{ + HelperRunReaderTest( + testDataPath() + "/Config/CNTKBinaryReader/test.cntk", + testDataPath() + "/Control/CNTKTextFormatReader/MNIST_dense.txt", + testDataPath() + "/Control/CNTKBinaryReader/MNIST_dense_Output.txt", + "MNIST", + "reader", + 1000, // epoch size + 1000, // mb size + 1, // num epochs + 1, + 1, + 0, + 1); +}; + +// 10 sequences with 10 samples each (no randomization) +BOOST_AUTO_TEST_CASE(CNTKBinaryReader_10x10_dense) { HelperRunReaderTest( testDataPath() + "/Config/CNTKBinaryReader/test.cntk", - testDataPath() + "/Control/CNTKBinaryReader/Simple_dense_312.txt", - testDataPath() + "/Control/CNTKBinaryReader/Simple_dense_312_Output.txt", - "Simple", + testDataPath() + "/Control/CNTKTextFormatReader/10x10_dense.txt", + testDataPath() + "/Control/CNTKBinaryReader/10x10_dense_Output.txt", + "10x10_dense", "reader", - 1600, // epoch size - 312, // mb size - 1, // num epochs - 4, + 100, // epoch size + 100, // mb size + 1, // num epochs + 1, + 0, // no labels 0, - 0, - 1, false, false, false); + 1); }; +// 50 sequences with up to 20 samples each (508 samples in total) +BOOST_AUTO_TEST_CASE(CNTKBinaryReader_50x20_jagged_sequences_dense) +{ + HelperRunReaderTest( + testDataPath() + "/Config/CNTKBinaryReader/test.cntk", + testDataPath() + "/Control/CNTKTextFormatReader/50x20_jagged_sequences_dense.txt", + testDataPath() + "/Control/CNTKBinaryReader/50x20_jagged_sequences_dense_Output.txt", + "50x20_jagged_sequences_dense", + "reader", + 508, // epoch size + 508, // mb size + 1, // num epochs + 1, + 0, + 0, + 1); +}; + +// 10 sequences with 10 samples each (no randomization) +BOOST_AUTO_TEST_CASE(CNTKBinaryReader_10x10_sparse) +{ + HelperRunReaderTest( + testDataPath() + "/Config/CNTKBinaryReader/test.cntk", + testDataPath() + "/Control/CNTKTextFormatReader/10x10_sparse.txt", + testDataPath() + "/Control/CNTKBinaryReader/10x10_sparse_Output.txt", + "10x10_sparse", + "reader", + 100, // epoch size + 100, // mb size + 1, // num epochs + 1, + 0, // no labels + 0, + 1, + true); +}; + +// 50 sequences with up to 20 samples each (536 samples in total) +BOOST_AUTO_TEST_CASE(CNTKBinaryReader_50x20_jagged_sequences_sparse) +{ + HelperRunReaderTest( + testDataPath() + "/Config/CNTKBinaryReader/test.cntk", + testDataPath() + "/Control/CNTKTextFormatReader/50x20_jagged_sequences_sparse.txt", + testDataPath() + "/Control/CNTKBinaryReader/50x20_jagged_sequences_sparse_Output.txt", + "50x20_jagged_sequences_sparse", + "reader", + 564, // epoch size + 564, // mb size + 1, // num epochs + 1, + 0, + 0, + 1, + true); +}; + BOOST_AUTO_TEST_SUITE_END() } } } } diff --git a/Tests/UnitTests/ReaderTests/CNTKTextFormatReaderTests.cpp b/Tests/UnitTests/ReaderTests/CNTKTextFormatReaderTests.cpp index 09825f52b..6e5073f1a 100644 --- a/Tests/UnitTests/ReaderTests/CNTKTextFormatReaderTests.cpp +++ b/Tests/UnitTests/ReaderTests/CNTKTextFormatReaderTests.cpp @@ -51,31 +51,6 @@ public: namespace Test { -// identical to 'sort -o filename filename' -void SortLinesInFile(string filename, size_t expectedNumLines = 1) -{ - vector content; - content.reserve(expectedNumLines); - ifstream ifstream(filename); - - string line; - while (getline(ifstream, line)) - { - content.push_back(line); - } - - ifstream.close(); - - sort(content.begin(), content.end()); - - ofstream ofstream(filename); - - copy(content.begin(), content.end(), ostream_iterator(ofstream, "\n")); - - ofstream.close(); -} - - struct CNTKTextFormatReaderFixture : ReaderFixture { CNTKTextFormatReaderFixture() diff --git a/Tests/UnitTests/ReaderTests/Common/ReaderTestHelper.h b/Tests/UnitTests/ReaderTests/Common/ReaderTestHelper.h index 719293b43..4d8577bf8 100644 --- a/Tests/UnitTests/ReaderTests/Common/ReaderTestHelper.h +++ b/Tests/UnitTests/ReaderTests/Common/ReaderTestHelper.h @@ -13,6 +13,30 @@ namespace Microsoft { namespace MSR { namespace CNTK { namespace Test { const double relError = 1e-5f; +// identical to 'sort -o filename filename' +inline void SortLinesInFile(string filename, size_t expectedNumLines = 1) +{ + vector content; + content.reserve(expectedNumLines); + ifstream ifstream(filename); + + string line; + while (getline(ifstream, line)) + { + content.push_back(line); + } + + ifstream.close(); + + sort(content.begin(), content.end()); + + ofstream ofstream(filename); + + copy(content.begin(), content.end(), ostream_iterator(ofstream, "\n")); + + ofstream.close(); +} + struct ReaderFixture { // This fixture sets up paths so the tests can assume the right location for finding the configuration diff --git a/Tests/UnitTests/ReaderTests/Config/CNTKBinaryReader/test.cntk b/Tests/UnitTests/ReaderTests/Config/CNTKBinaryReader/test.cntk index 3f2d32f5f..9c9c0292f 100644 --- a/Tests/UnitTests/ReaderTests/Config/CNTKBinaryReader/test.cntk +++ b/Tests/UnitTests/ReaderTests/Config/CNTKBinaryReader/test.cntk @@ -1,50 +1,91 @@ # deviceId = -1 for CPU, >= 0 for GPU devices deviceId = -1 -SparseSeq = [ - precision = "float" - reader = [ - readerType = "CNTKBinaryReader" - file = "sparseseqoutput.bin" - - input = [ - features1 = [ alias="a" ] - features2 = [ alias="b" ] - labels1 = [ alias="c" ] - labels2 = [ alias="d" ] - ] - randomize = false - ] -] - -Sparse = [ - precision = "float" - reader = [ - readerType = "CNTKBinaryReader" - file = "sparseoutput.bin" - - input = [ - features1 = [ alias="a" ] - features2 = [ alias="b" ] - labels1 = [ alias="c" ] - labels2 = [ alias="d" ] - ] - randomize = false - ] -] Simple = [ precision = "float" reader = [ readerType = "CNTKBinaryReader" - file = "simple.bin" + file = "Simple_dense.bin" + randomize = false + ] +] +MNIST = [ + precision = "double" + reader = [ + readerType = "CNTKBinaryReader" + file = "MNIST_dense.bin" # contains half a dozen chunks with ca. 400 KB in each + randomize = false + keepDataInMemory = true + ] +] + + +10x10_dense = [ + precision = "float" + reader = [ + readerType = "CNTKBinaryReader" + # Training file contains ten sequence with ten samples each + file = "10x10_dense.bin" + randomize = false + ] +] + +50x20_jagged_sequences_dense = [ + precision = "double" + reader = [ + readerType = "CNTKBinaryReader" + # Training file contains 50 sequence with *up to* 20 samples each + file = "50x20_jagged_sequences_dense.bin" + randomize = false + ] +] + +10x10_sparse = [ + precision = "double" + reader = [ + readerType = "CNTKBinaryReader" + # Training file contains ten sequences with ten samples each + file = "10x10_sparse.bin" + randomize = false + ] +] + +50x20_jagged_sequences_sparse = [ + precision = "float" + reader = [ + readerType = "CNTKBinaryReader" + # Training file contains 50 sequence with *up to* 20 samples each + file = "50x20_jagged_sequences_sparse.bin" + randomize = false + ] +] + +100x100x3_randomize_auto = [ + precision = "double" + reader = [ + readerType = "CNTKBinaryReader" + # Training file contains 100 sequence with *up to* 100 samples + # in each of 3 inputs. + file = "100x100x3_jagged_sequences_dense.bin" + randomize = true + ] +] + +5_inputs_100x10_jagged_mixed = [ + precision = "float" + reader = [ + readerType = "CNTKBinaryReader" + # Training file contains 100 sequence with *up to* 100 samples + # in each of 3 inputs. + file = "5_inputs_100x10_jagged_mixed.bin" input = [ features1 = [ alias="a" ] features2 = [ alias="b" ] features3 = [ alias="c" ] features4 = [ alias="d" ] + features5 = [ alias="e" ] ] - randomize = false ] -] +] \ No newline at end of file diff --git a/Tests/UnitTests/ReaderTests/Control/CNTKBinaryReader/Simple_dense_312.txt b/Tests/UnitTests/ReaderTests/Control/CNTKBinaryReader/Simple_dense_312.txt deleted file mode 100644 index 27d353adb..000000000 --- a/Tests/UnitTests/ReaderTests/Control/CNTKBinaryReader/Simple_dense_312.txt +++ /dev/null @@ -1,6400 +0,0 @@ -0 1 2 3 4 -100 101 102 103 104 -200 201 202 203 204 -300 301 302 303 304 -400 401 402 403 404 -500 501 502 503 504 -600 601 602 603 604 -700 701 702 703 704 -800 801 802 803 804 -900 901 902 903 904 -1000 1001 1002 1003 1004 -1100 1101 1102 1103 1104 -1200 1201 1202 1203 1204 -1300 1301 1302 1303 1304 -1400 1401 1402 1403 1404 -1500 1501 1502 1503 1504 -1600 1601 1602 1603 1604 -1700 1701 1702 1703 1704 -1800 1801 1802 1803 1804 -1900 1901 1902 1903 1904 -2000 2001 2002 2003 2004 -2100 2101 2102 2103 2104 -2200 2201 2202 2203 2204 -2300 2301 2302 2303 2304 -2400 2401 2402 2403 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b/Tests/UnitTests/ReaderTests/ReaderTests.vcxproj @@ -143,6 +143,10 @@ + + + + @@ -218,6 +222,7 @@ + @@ -244,6 +249,9 @@ + + + diff --git a/Tests/UnitTests/ReaderTests/ReaderTests.vcxproj.filters b/Tests/UnitTests/ReaderTests/ReaderTests.vcxproj.filters index 203d6a77a..ea682a4c4 100644 --- a/Tests/UnitTests/ReaderTests/ReaderTests.vcxproj.filters +++ b/Tests/UnitTests/ReaderTests/ReaderTests.vcxproj.filters @@ -52,6 +52,15 @@ {b2a5f515-1b00-4f19-bd19-8e3fd7eb6872} + + {46df705e-a35d-4bb8-9272-92c7cb293079} + + + {4194f906-450f-4112-841d-c80b3f90081e} + + + {4637ff35-9ba4-4850-bfe5-d534c5920388} + @@ -324,6 +333,18 @@ Data + + Control\CNTKBinaryReader + + + Control\CNTKBinaryReader + + + Control\CNTKBinaryReader + + + Control\CNTKBinaryReader + @@ -430,6 +451,18 @@ Config + + Config\CNTKBinaryReader + + + Data\CNTKBinaryReader + + + Data\CNTKBinaryReader + + + Data\CNTKBinaryReader +