major change: use luarocks to manage project

1 files changed, 79 insertions, 0 deletions

diff --git a/nerv/layer/init.lua b/nerv/layer/init.lua
new file mode 100644
index 0000000..3c55a94
--- /dev/null
+++ b/nerv/layer/init.lua
@@ -0,0 +1,79 @@
+-- The following methods must be implemented to let a layer work properly
+
+local Param = nerv.class('nerv.Param')
+
+function Param:__init(id, global_conf)
+    self.id = id
+    self.gconf = global_conf
+end
+
+function Param:get_info()
+    return self.info
+end
+
+function Param:set_info(info)
+    self.info = info
+end
+
+function Param:read(handle)
+    nerv.error_method_not_implemented()
+end
+
+function Param:write(handle)
+    nerv.error_method_not_implemented()
+end
+
+function Param:update(gradient)
+    nerv.error_method_not_implemented()
+end
+
+local Layer = nerv.class('nerv.Layer')
+
+function Layer:__init(id, global_conf, layer_conf)
+    nerv.error_method_not_implemented()
+end
+
+function Layer:init(batch_size)
+    nerv.error_method_not_implemented()
+end
+
+function Layer:update(bp_err, input, output)
+    nerv.error_method_not_implemented()
+end
+
+function Layer:propagate(input, output)
+    nerv.error_method_not_implemented()
+end
+
+function Layer:back_propagate(bp_err, next_bp_err, input, output)
+    nerv.error_method_not_implemented()
+end
+
+function Layer:check_dim_len(len_in, len_out)
+    local expected_in = #self.dim_in
+    local expected_out = #self.dim_out
+    if len_in > 0 and expected_in ~= len_in then
+        nerv.error("layer %s expects %d inputs, %d given",
+                    self.id, len_in, expected_in)
+    end
+    if len_out > 0 and expected_out ~= len_out then
+        nerv.error("layer %s expects %d outputs, %d given",
+                    self.id, len_out, expected_out)
+    end
+end
+
+function Layer:get_params()
+    nerv.error_method_not_implemented()
+end
+
+function Layer:get_dim()
+    return self.dim_in, self.dim_out
+end
+
+nerv.include('affine.lua')
+nerv.include('sigmoid.lua')
+nerv.include('softmax_ce.lua')
+nerv.include('bias.lua')
+nerv.include('window.lua')
+nerv.include('mse.lua')
+nerv.include('combiner.lua')