diff options
Diffstat (limited to 'nerv/io/init.lua')
| -rw-r--r-- | nerv/io/init.lua | 67 |
1 files changed, 67 insertions, 0 deletions
diff --git a/nerv/io/init.lua b/nerv/io/init.lua index d3ba27c..4ebbabf 100644 --- a/nerv/io/init.lua +++ b/nerv/io/init.lua @@ -1,3 +1,19 @@ +--- Implements parts of ChunkFile operations (methods) in Lua and define +-- the interface of DataReader and DataBuffer. +-- @author Ted Yin <[email protected]> + +--- The class for on-disk chunk storage. +-- A *chunk* can be a group of parameters such as an instance of +-- `nerv.Param` (or `nerv.MatrixParam`, etc.), but can also be something else as long as it implements the following interface: +-- +-- * `.id` field: the unique identifier of the chunk +-- * `read(handle)`: define how to read from a file handle +-- * `write(handle)`: define how to write to a file handle +-- * `get_info()`: return a table of chunk metadata +-- * `set_info(info)`: set the metadata of the chunk +-- * for more information, please refer to `nerv.MatrixParam` as an example +-- @type nerv.ChunkFile + function nerv.ChunkFile:write_chunkdata(metadata, writer) if type(metadata) ~= "table" then nerv.error("metadata should be a Lua table") @@ -6,6 +22,9 @@ function nerv.ChunkFile:write_chunkdata(metadata, writer) return self._write_chunkdata(self.handle, table.tostring(metadata), writer) end +--- Write a chunk to the file. +-- @param chunk the chunk to be serialize. A *chunk* can be any Lua object +-- which implements the required interface. function nerv.ChunkFile:write_chunk(chunk) local id = chunk.id local type = chunk.__typename @@ -17,6 +36,11 @@ function nerv.ChunkFile:write_chunk(chunk) info = chunk:get_info()}, chunk) end +--- Read a chunk from the file. +-- @param id specifying the chunk to be read from a chunk file which may stores multiple chunks +-- @param global_conf a table describing the computation state and providing +-- with some global settings, which will be passed to the constructor of the chunk. + function nerv.ChunkFile:read_chunk(id, global_conf) if self.metadata == nil then nerv.error("wrong file opening mode") @@ -32,26 +56,69 @@ function nerv.ChunkFile:read_chunk(id, global_conf) return chunk end +--- Close a chunk file gracefully. function nerv.ChunkFile:close() self._close(self.handle) end +--- The abstract class which defines the interface of data readers. +-- Data readers, as the name suggests, take a duty of tackling with +-- task-specific low-level I/O, reading from on-disk data files and producing a +-- formalized data block once invoked by the data buffer (see +-- `nerv.DataBuffer`). The main interface is defined by `get_data` method. +-- @type nerv.DataReader + local DataReader = nerv.class("nerv.DataReader") +--- The constructor. +-- @param global_conf a table describing the computation state and providing +-- with some global settings +-- @param reader_conf a table providing with settings dedicated for the +-- reader + function DataReader:__init(global_conf, reader_conf) nerv.error_method_not_implemented() end +--- Get a data block from the reader +-- @return a table which maps data slot identifiers to data matrices. A data +-- slot identifier is a unique string naming one slot of data. Each identifier +-- maps to a matrix containing the data. (`{<slot_id> = <data matrix>, ...}`) It +-- is a requirement that the number of rows in all the matrices in the returned +-- table stays the same. function DataReader:get_data() nerv.error_method_not_implemented() end +--- The abstract class which defines the interface of data buffers. +-- Buffer readers can be regarded as a data reorganizer which accepts variable +-- length data blocks and chops the stacked blocks into equi-length batch +-- groups used by network computation. The main interface is defined by +-- `get_data` method. +-- @type nerv.DataBuffer local DataBuffer = nerv.class("nerv.DataBuffer") +--- The constructor. +-- @param global_conf a table describing the computation +-- state and providing with some global settings +-- @param buffer_conf a table providing with settings +-- dedicated for the buffer function DataBuffer:__init(global_conf, buffer_conf) nerv.error_method_not_implemented() end +--- Get a batch group from the buffer. +-- @return a table containing the following fields: +-- +-- * `data`: a table which maps slot identifiers to chunks/"mini-batches". Each +-- chunk is an array of batch matrices (`{<slot_id> = {<batch_1>, <batch_2>, ..., <batch_chunk_size>}, ...}`, see `nerv.Network`). +-- * `seq_length` : a table containing the length (number of frames) of each +-- sequence (utterance). (`{<fnum_1>, <fnum_2>, ..., <fnum_batch_size>}`) +-- * `new_seq`: a table containing the indices of batch matrix rows that are the +-- first frames of a sequence. (`{}` when there is no new appearing +-- sequence/utterance, at most `batch_size` elements when all the +-- sequences/utterances is on its first frame) + function DataBuffer:get_data() nerv.error_method_not_implemented() end |