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authorDeterminant <[email protected]>2015-06-22 19:01:29 +0800
committerDeterminant <[email protected]>2015-06-22 19:01:29 +0800
commit2497fd9e7a0fae5ee4887890d7a312e0e08a93b8 (patch)
tree382f97575bd2df9ee6abb1662b11b279fc22d72b /matrix/init.lua
parent196e9b48a3541caccdffc5743001cced70667091 (diff)
major change: use luarocks to manage project
Diffstat (limited to 'matrix/init.lua')
-rw-r--r--matrix/init.lua77
1 files changed, 0 insertions, 77 deletions
diff --git a/matrix/init.lua b/matrix/init.lua
deleted file mode 100644
index 1a8925f..0000000
--- a/matrix/init.lua
+++ /dev/null
@@ -1,77 +0,0 @@
-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