diff options
author | txh18 <cloudygooseg@gmail.com> | 2015-10-30 17:00:13 +0800 |
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committer | txh18 <cloudygooseg@gmail.com> | 2015-10-30 17:00:13 +0800 |
commit | c1eb74539cf31f966176a17cb27797b1fb69461a (patch) | |
tree | c4cf81d2aae5a3e84e0629da7a88e4f35dfe8bd1 /nerv/examples/lmptb/rnn/layer_tdag.lua | |
parent | eac51ea6ba6fc4c2a39b9888e0109832feee564c (diff) |
start implementing tdag_layer
Diffstat (limited to 'nerv/examples/lmptb/rnn/layer_tdag.lua')
-rw-r--r-- | nerv/examples/lmptb/rnn/layer_tdag.lua | 291 |
1 files changed, 291 insertions, 0 deletions
diff --git a/nerv/examples/lmptb/rnn/layer_tdag.lua b/nerv/examples/lmptb/rnn/layer_tdag.lua new file mode 100644 index 0000000..296e2e6 --- /dev/null +++ b/nerv/examples/lmptb/rnn/layer_tdag.lua @@ -0,0 +1,291 @@ +local DAGLayer = nerv.class("nerv.TDAGLayer", "nerv.Layer") + +local function parse_id(str) + local id, port, time, _ + _, _, id, port, time = string.find(str, "([a-zA-Z0-9_]+)%[([0-9]+)%][,]*([0-9]*)") + if id == nil or port == nil then + _, _, id, port, time = string.find(str, "(.+)%[([0-9]+)%][,]*([0-9]*)") + if not (id == "<input>" or id == "<output>") then + nerv.error("wrong format of connection id") + end + end + print(str, id, port, time) + port = tonumber(port) + if (time == nil) then + time = 0 + else + time = tonumber(time) + end + return id, port, time +end + +local function discover(id, layers, layer_repo) + local ref = layers[id] + if id == "<input>" or id == "<output>" then + return nil + end + if ref == nil then + local layer = layer_repo:get_layer(id) + local dim_in, dim_out = layer:get_dim() + ref = { + layer = layer, + inputs = {}, + outputs = {}, + err_inputs = {}, + err_outputs = {}, + next_layers = {}, + input_len = #dim_in, + output_len = #dim_out, + in_deg = 0, + visited = false + } + layers[id] = ref + end + return ref +end + +function DAGLayer:__init(id, global_conf, layer_conf) + local layers = {} + local inputs = {} + local outputs = {} + local dim_in = layer_conf.dim_in + local dim_out = layer_conf.dim_out + local parsed_conn = {} + local _ + local time_to + + for from, to in pairs(layer_conf.connections) do + + local id_from, port_from, _ = parse_id(from) + local id_to, port_to, time_to = parse_id(to) + + local ref_from = discover(id_from, layers, layer_conf.sub_layers) + local ref_to = discover(id_to, layers, layer_conf.sub_layers) + + local input_dim, output_dim, _ + + if ref_from and ref_from.outputs[port_from] ~= nil then + nerv.error("%s has already been attached", from) + end + if ref_to and ref_to.inputs[port_to] ~= nil then + nerv.error("%s has already been attached", to) + end + if id_from == "<input>" then + input_dim, _ = ref_to.layer:get_dim() + if dim_in[port_from] ~= input_dim[port_to] then + nerv.error("mismatching data dimension between %s and %s", from, to) + end + inputs[port_from] = {ref_to, port_to} + ref_to.inputs[port_to] = inputs -- just a place holder + elseif id_to == "<output>" then + _, output_dim = ref_from.layer:get_dim() + if output_dim[port_from] ~= dim_out[port_to] then + nerv.error("mismatching data dimension between %s and %s", from, to) + end + outputs[port_to] = {ref_from, port_from} + ref_from.outputs[port_from] = outputs -- just a place holder + else + _, output_dim = ref_from.layer:get_dim() + input_dim, _ = ref_to.layer:get_dim() + if output_dim[port_from] ~= input_dim[port_to] then + nerv.error("mismatching data dimension between %s and %s", from, to) + end + + table.insert(parsed_conn, + {{ref_from, port_from}, {ref_to, port_to}}) + table.insert(ref_from.next_layers, ref_to) -- add edge + ref_to.in_deg = ref_to.in_deg + 1 -- increase the in-degree of the target layer + end + end + + self.layers = layers + self.inputs = inputs + self.outputs = outputs + self.id = id + self.dim_in = dim_in + self.dim_out = dim_out + self.parsed_conn = parsed_conn + self.queue = queue + self.gconf = global_conf +end + +function DAGLayer:init(batch_size) + for i, conn in ipairs(self.parsed_conn) do + local _, output_dim + local ref_from, port_from, ref_to, port_to + ref_from, port_from = unpack(conn[1]) + ref_to, port_to = unpack(conn[2]) + _, output_dim = ref_from.layer:get_dim() + local dim = 1 + if output_dim[port_from] > 0 then + dim = output_dim[port_from] + end + local mid = self.gconf.cumat_type(batch_size, dim) + local err_mid = mid:create() + + ref_from.outputs[port_from] = mid + ref_to.inputs[port_to] = mid + + ref_from.err_inputs[port_from] = err_mid + ref_to.err_outputs[port_to] = err_mid + end + for id, ref in pairs(self.layers) do + for i = 1, ref.input_len do + if ref.inputs[i] == nil then + nerv.error("dangling input port %d of layer %s", i, id) + end + end + for i = 1, ref.output_len do + if ref.outputs[i] == nil then + nerv.error("dangling output port %d of layer %s", i, id) + end + end + -- initialize sub layers + ref.layer:init(batch_size) + end + for i = 1, #self.dim_in do + if self.inputs[i] == nil then + nerv.error("dangling port %d of layer <input>", i) + end + end + for i = 1, #self.dim_out do + if self.outputs[i] == nil then + nerv.error("dangling port %d of layer <output>", i) + end + end +end + +function DAGLayer:batch_resize(batch_size) + self.gconf.batch_size = batch_size + + for i, conn in ipairs(self.parsed_conn) do + local _, output_dim + local ref_from, port_from, ref_to, port_to + ref_from, port_from = unpack(conn[1]) + ref_to, port_to = unpack(conn[2]) + _, output_dim = ref_from.layer:get_dim() + + if ref_from.outputs[port_from]:nrow() ~= batch_size and output_dim[port_from] > 0 then + local mid = self.gconf.cumat_type(batch_size, output_dim[port_from]) + local err_mid = mid:create() + + ref_from.outputs[port_from] = mid + ref_to.inputs[port_to] = mid + + ref_from.err_inputs[port_from] = err_mid + ref_to.err_outputs[port_to] = err_mid + end + end + for id, ref in pairs(self.layers) do + ref.layer:batch_resize(batch_size) + end + collectgarbage("collect") +end + +function DAGLayer:set_inputs(input) + for i = 1, #self.dim_in do + if input[i] == nil then + nerv.error("some input is not provided"); + end + local layer = self.inputs[i][1] + local port = self.inputs[i][2] + layer.inputs[port] = input[i] + end +end + +function DAGLayer:set_outputs(output) + for i = 1, #self.dim_out do + if output[i] == nil then + nerv.error("some output is not provided"); + end + local layer = self.outputs[i][1] + local port = self.outputs[i][2] + layer.outputs[port] = output[i] + end +end + +function DAGLayer:set_err_inputs(bp_err) + for i = 1, #self.dim_out do + local layer = self.outputs[i][1] + local port = self.outputs[i][2] + layer.err_inputs[port] = bp_err[i] + end +end + +function DAGLayer:set_err_outputs(next_bp_err) + for i = 1, #self.dim_in do + local layer = self.inputs[i][1] + local port = self.inputs[i][2] + layer.err_outputs[port] = next_bp_err[i] + end +end + +function DAGLayer:update(bp_err, input, output) + self:set_err_inputs(bp_err) + self:set_inputs(input) + self:set_outputs(output) + -- print("update") + for id, ref in pairs(self.queue) do + -- print(ref.layer.id) + ref.layer:update(ref.err_inputs, ref.inputs, ref.outputs) + end +end + +function DAGLayer:propagate(input, output) + self:set_inputs(input) + self:set_outputs(output) + local ret = false + for i = 1, #self.queue do + local ref = self.queue[i] + -- print(ref.layer.id) + ret = ref.layer:propagate(ref.inputs, ref.outputs) + end + return ret +end + +function DAGLayer:back_propagate(bp_err, next_bp_err, input, output) + self:set_err_outputs(next_bp_err) + self:set_err_inputs(bp_err) + self:set_inputs(input) + self:set_outputs(output) + for i = #self.queue, 1, -1 do + local ref = self.queue[i] + -- print(ref.layer.id) + ref.layer:back_propagate(ref.err_inputs, ref.err_outputs, ref.inputs, ref.outputs) + end +end + +function DAGLayer:get_params() + local param_repos = {} + for id, ref in pairs(self.queue) do + table.insert(param_repos, ref.layer:get_params()) + end + return nerv.ParamRepo.merge(param_repos) +end + +DAGLayer.PORT_TYPES = { + INPUT = {}, + OUTPUT = {}, + ERR_INPUT = {}, + ERR_OUTPUT = {} +} + +function DAGLayer:get_intermediate(id, port_type) + if id == "<input>" or id == "<output>" then + nerv.error("an actual real layer id is expected") + end + local layer = self.layers[id] + if layer == nil then + nerv.error("layer id %s not found", id) + end + if port_type == DAGLayer.PORT_TYPES.INPUT then + return layer.inputs + elseif port_type == DAGLayer.PORT_TYPES.OUTPUT then + return layer.outputs + elseif port_type == DAGLayer.PORT_TYPES.ERR_INPUT then + return layer.err_inputs + elseif port_type == DAGLayer.PORT_TYPES.ERR_OUTPUT then + return layer.err_outputs + end + nerv.error("unrecognized port type") +end |