1 files changed, 77 insertions, 0 deletions
diff --git a/nerv/lib/matrix/init.lua b/nerv/lib/matrix/init.lua
new file mode 100644
index 0000000..1a8925f
--- /dev/null
+++ b/nerv/lib/matrix/init.lua
@@ -0,0 +1,77 @@
+function nerv.Matrix:__tostring__()
+    local ncol = self:ncol()
+    local nrow = self:nrow()
+    local strt = {}
+    local fmt
+    if self.fmt then
+        fmt = self.fmt
+    else
+        fmt = "%.8f "
+    end
+    if nrow == 1 then
+        for col = 0, ncol - 1 do
+            table.insert(strt, string.format(fmt, self[col]))
+        end
+        table.insert(strt, "\n")
+    else
+        for row = 0, nrow - 1 do
+            local rp = self[row]
+            for col = 0, ncol - 1 do
+                table.insert(strt, string.format(fmt, rp[col]))
+            end
+            table.insert(strt, "\n")
+        end
+    end
+    table.insert(strt, string.format(
+        "[%s %d x %d]", self.__typename, nrow, ncol))
+    return table.concat(strt)
+end
+
+-- gen: a function takes take indices of the matrix and return the generated
+-- all entrys in the matrix will be assigned by calling gen(i, j)
+function nerv.Matrix:generate(gen)
+    if (self:nrow() == 1) then
+        for j = 0, self:ncol() - 1 do
+            self[j] = gen(j)
+        end
+    else
+        for i = 0, self:nrow() - 1 do
+            local row = self[i]
+            for j = 0, self:ncol() - 1 do
+                row[j] = gen(i, j)
+            end
+        end
+    end
+end
+
+nerv.MMatrixInt.fmt = "%d "
+
+function nerv.CuMatrix:__add__(b)
+    c = self:create()
+    c:add(self, b, 1.0, 1.0)
+    return c
+end
+
+function nerv.CuMatrix:__sub__(b)
+    c = self:create()
+    c:add(self, b, 1.0, -1.0)
+    return c
+end
+
+function nerv.CuMatrix:__mul__(b)
+    c = nerv.get_type(self.__typename)(self:nrow(), b:ncol())
+    c:mul(self, b, 1.0, 0.0, 'N', 'N')
+    return c
+end
+
+function nerv.CuMatrixFloat.new_from_host(mat)
+    local res = nerv.CuMatrixFloat(mat:nrow(), mat:ncol())
+    res:copy_fromh(mat)
+    return res
+end
+
+function nerv.CuMatrixFloat:new_to_host()
+    local res = nerv.MMatrixFloat(self:nrow(), self:ncol())
+    self:copy_toh(res)
+    return res
+end