add expand_frm, rearrange_frm, scale_row

7 files changed, 119 insertions, 21 deletions

diff --git a/io/init.lua b/io/init.lua
index 8c3701e..7c312f4 100644
--- a/io/init.lua
+++ b/io/init.lua
@@ -20,7 +20,7 @@ end
 function nerv.ChunkFile:read_chunk(id, global_conf)
     local metadata = self.metadata[id]
     if metadata == nil then
-        nerv_error("chunk with id %s does not exist", id)
+        nerv.error("chunk with id %s does not exist", id)
     end
     local chunk_type = assert(loadstring("return " .. metadata.type))()
     local chunk = chunk_type(id, global_conf)
diff --git a/layer/affine.lua b/layer/affine.lua
index d88813e..573b98d 100644
--- a/layer/affine.lua
+++ b/layer/affine.lua
@@ -1,13 +1,14 @@
-local LinearTransParam = nerv.class('nerv.LinearTransParam', 'nerv.Param')
-local BiasParam = nerv.class('nerv.BiasParam', 'nerv.LinearTransParam')
+local MatrixParam = nerv.class('nerv.MatrixParam', 'nerv.Param')
+local LinearTransParam = nerv.class('nerv.LinearTransParam', 'nerv.MatrixParam')
+local BiasParam = nerv.class('nerv.BiasParam', 'nerv.MatrixParam')
 local AffineLayer = nerv.class('nerv.AffineLayer', 'nerv.Layer')
 
-function LinearTransParam:read(pcdata)
+function MatrixParam:read(pcdata)
     self.trans = self.gconf.mat_type.new_from_host(
                     nerv.MMatrixFloat.load(pcdata))
 end
 
-function LinearTransParam:write(pfhandle)
+function MatrixParam:write(pfhandle)
     self.trans:new_to_host():save(pfhandle)
 end
 
diff --git a/matrix/cukernel.h b/matrix/cukernel.h
index 232699d..178b7d3 100644
--- a/matrix/cukernel.h
+++ b/matrix/cukernel.h
@@ -10,4 +10,7 @@ void cudak_(cuda_softmax_denominator)(const Matrix *a, const Matrix *max, Matrix
 void cudak_(cuda_softmax_final)(const Matrix *a, const Matrix *max, const Matrix *deno, Matrix *b);
 void cudak_(cuda_add_row)(const Matrix *a, Matrix *b, double beta);
 void cudak_(cuda_fill)(Matrix *a, double val);
+void cudak_(cuda_expand_frm)(const Matrix *a, Matrix *b, int context);
+void cudak_(cuda_rearrange_frm)(const Matrix *a, Matrix *b, int step);
+void cudak_(cuda_scale_row)(const Matrix *a, Matrix *b);
 #endif
diff --git a/matrix/generic/cukernel.cu b/matrix/generic/cukernel.cu
index 0e3d3cf..1d8b983 100644
--- a/matrix/generic/cukernel.cu
+++ b/matrix/generic/cukernel.cu
@@ -4,7 +4,7 @@
 #include "matrix.h"
 #include "cuda.h"
 #define CUDA_THREADS_N 16
-#define CUDA_THREADS_NN (16 * 16)
+#define CUDA_THREADS_NN ((CUDA_THREADS_N) * (CUDA_THREADS_N))
 #define CEIL_DIV(a, b) (((a) + (b) - 1) / (b))
 __global__ void cudak_(log_elem)(const MATRIX_ELEM *a, MATRIX_ELEM *b, 
                                 int nrow, int ncol, int stride) {
@@ -154,12 +154,43 @@ __global__ void cudak_(fill)(MATRIX_ELEM *a,
     a[j + i * stride] = val;
 }
 
+__global__ void cudak_(expand_frm)(const MATRIX_ELEM *a, MATRIX_ELEM *b,
+                                    int nrow, int ncol,
+                                    int enrow, int encol,
+                                    int stride, int estride,
+                                    int context) {
+    int j = blockIdx.x * blockDim.x + threadIdx.x;
+    int i = blockIdx.y * blockDim.y + threadIdx.y;
+    int ridx;
+    if (i >= enrow || j >= encol) return;
+    ridx = i + j / ncol - context;
+    if (ridx < 0) ridx = 0;
+    else if (ridx >= nrow) ridx = nrow - 1;
+    b[j + i * estride] = a[j % ncol + ridx * stride];
+}
+
+__global__ void cudak_(rearrange_frm)(const MATRIX_ELEM *a, MATRIX_ELEM *b,
+                                    int nrow, int ncol,
+                                    int stride, int step, int orig_dim) {
+    int j = blockIdx.x * blockDim.x + threadIdx.x;
+    int i = blockIdx.y * blockDim.y + threadIdx.y;
+    if (i >= nrow || j >= ncol) return;
+    b[j + i * stride] = a[j / step + (j % step) * orig_dim + i * stride];
+}
+
+__global__ void cudak_(scale_row)(const MATRIX_ELEM *a, MATRIX_ELEM *b,
+                                    int nrow, int ncol,
+                                    int stride) {
+    int j = blockIdx.x * blockDim.x + threadIdx.x;
+    int i = blockIdx.y * blockDim.y + threadIdx.y;
+    if (i >= nrow || j >= ncol) return;
+    b[j + i * stride] *= a[j];
+}
 
 extern "C" {
 #include "../cukernel.h"
     void cudak_(cuda_log_elem)(const Matrix *a, Matrix *b) {
-        dim3 threadsPerBlock(CUDA_THREADS_N,
-                CUDA_THREADS_N);
+        dim3 threadsPerBlock(CUDA_THREADS_N, CUDA_THREADS_N);
         dim3 numBlocks(CEIL_DIV(b->ncol, threadsPerBlock.x),
                 CEIL_DIV(b->nrow, threadsPerBlock.y));
         cudak_(log_elem)<<<numBlocks, threadsPerBlock>>> \
@@ -169,8 +200,7 @@ extern "C" {
 
     void cudak_(cuda_mul_elem)(const Matrix *a, const Matrix *b,
                                 Matrix *c) {
-        dim3 threadsPerBlock(CUDA_THREADS_N,
-                CUDA_THREADS_N);
+        dim3 threadsPerBlock(CUDA_THREADS_N, CUDA_THREADS_N);
         dim3 numBlocks(CEIL_DIV(b->ncol, threadsPerBlock.x),
                 CEIL_DIV(b->nrow, threadsPerBlock.y));
         cudak_(mul_elem)<<<numBlocks, threadsPerBlock>>> \
@@ -180,8 +210,7 @@ extern "C" {
     }
 
     void cudak_(cuda_sigmoid)(const Matrix *a, Matrix *b) {
-        dim3 threadsPerBlock(CUDA_THREADS_N,
-                CUDA_THREADS_N);
+        dim3 threadsPerBlock(CUDA_THREADS_N, CUDA_THREADS_N);
         dim3 numBlocks(CEIL_DIV(b->ncol, threadsPerBlock.x),
                 CEIL_DIV(b->nrow, threadsPerBlock.y));
         cudak_(sigmoid)<<<numBlocks, threadsPerBlock>>> \
@@ -191,8 +220,7 @@ extern "C" {
 
     void cudak_(cuda_sigmoid_grad)(const Matrix *output,
                                     const Matrix *err, Matrix *nerr) {
-        dim3 threadsPerBlock(CUDA_THREADS_N,
-                CUDA_THREADS_N);
+        dim3 threadsPerBlock(CUDA_THREADS_N, CUDA_THREADS_N);
         dim3 numBlocks(CEIL_DIV(nerr->ncol, threadsPerBlock.x),
                 CEIL_DIV(nerr->nrow, threadsPerBlock.y));
         cudak_(sigmoid_grad)<<<numBlocks, threadsPerBlock>>> \
@@ -248,8 +276,7 @@ extern "C" {
 
     void cudak_(cuda_softmax_final)(const Matrix *a, const Matrix *max,
                             const Matrix *deno, Matrix *b) {
-        dim3 threadsPerBlock(CUDA_THREADS_N,
-                CUDA_THREADS_N);
+        dim3 threadsPerBlock(CUDA_THREADS_N, CUDA_THREADS_N);
         dim3 numBlocks(CEIL_DIV(b->ncol, threadsPerBlock.x),
                 CEIL_DIV(b->nrow, threadsPerBlock.y));
         cudak_(softmax_final)<<<numBlocks, threadsPerBlock>>> \
@@ -310,8 +337,7 @@ extern "C" {
 
     /* in-place calc */
     void cudak_(cuda_add_row)(const Matrix *a, Matrix *b, double beta) {
-        dim3 threadsPerBlock(CUDA_THREADS_N,
-                CUDA_THREADS_N);
+        dim3 threadsPerBlock(CUDA_THREADS_N, CUDA_THREADS_N);
         dim3 numBlocks(CEIL_DIV(b->ncol, threadsPerBlock.x),
                 CEIL_DIV(b->nrow, threadsPerBlock.y));
         cudak_(add_row)<<<numBlocks, threadsPerBlock>>> \
@@ -320,13 +346,44 @@ extern "C" {
     }
 
     void cudak_(cuda_fill)(Matrix *a, double val) {
-        dim3 threadsPerBlock(CUDA_THREADS_N,
-                CUDA_THREADS_N);
+        dim3 threadsPerBlock(CUDA_THREADS_N, CUDA_THREADS_N);
         dim3 numBlocks(CEIL_DIV(a->ncol, threadsPerBlock.x),
                 CEIL_DIV(a->nrow, threadsPerBlock.y));
         cudak_(fill)<<<numBlocks, threadsPerBlock>>> \
             (MATRIX_ELEM_PTR(a), a->nrow, a->ncol,
             a->stride / sizeof(MATRIX_ELEM), val);
     }
+
+    void cudak_(cuda_expand_frm)(const Matrix *a, Matrix *b, int context) {
+        dim3 threadsPerBlock(CUDA_THREADS_N, CUDA_THREADS_N);
+        dim3 numBlocks(CEIL_DIV(b->ncol, threadsPerBlock.x),
+                CEIL_DIV(b->nrow, threadsPerBlock.y));
+        cudak_(expand_frm)<<<numBlocks, threadsPerBlock>>> \
+            (MATRIX_ELEM_PTR(a), MATRIX_ELEM_PTR(b),
+             a->nrow, a->ncol,
+             b->nrow, b->ncol,
+             a->stride / sizeof(MATRIX_ELEM),
+             b->stride / sizeof(MATRIX_ELEM),
+             context);
+    }
+
+    void cudak_(cuda_rearrange_frm)(const Matrix *a, Matrix *b, int step) {
+        dim3 threadsPerBlock(CUDA_THREADS_N, CUDA_THREADS_N);
+        dim3 numBlocks(CEIL_DIV(b->ncol, threadsPerBlock.x),
+                CEIL_DIV(b->nrow, threadsPerBlock.y));
+        cudak_(rearrange_frm)<<<numBlocks, threadsPerBlock>>> \
+            (MATRIX_ELEM_PTR(a), MATRIX_ELEM_PTR(b),
+             b->nrow, b->ncol, b->stride / sizeof(MATRIX_ELEM),
+             step, b->ncol / step);
+    }
+
+    void cudak_(cuda_scale_row)(const Matrix *a, Matrix *b) {
+        dim3 threadsPerBlock(CUDA_THREADS_N, CUDA_THREADS_N);
+        dim3 numBlocks(CEIL_DIV(b->ncol, threadsPerBlock.x),
+                CEIL_DIV(b->nrow, threadsPerBlock.y));
+        cudak_(scale_row)<<<numBlocks, threadsPerBlock>>> \
+            (MATRIX_ELEM_PTR(a), MATRIX_ELEM_PTR(b),
+             b->nrow, b->ncol, b->stride / sizeof(MATRIX_ELEM));
+    }
 }
 #endif
diff --git a/matrix/generic/cumatrix.c b/matrix/generic/cumatrix.c
index 3bc58d7..58f3679 100644
--- a/matrix/generic/cumatrix.c
+++ b/matrix/generic/cumatrix.c
@@ -282,6 +282,40 @@ static int nerv_matrix_(copy_rows_fromh_by_idx)(lua_State *L) {
     return 0;
 }
 
+static int nerv_matrix_(expand_frm)(lua_State *L) {
+    Matrix *a = luaT_checkudata(L, 1, nerv_matrix_(tname));
+    Matrix *b = luaT_checkudata(L, 2, nerv_matrix_(tname));
+    int context = luaL_checkinteger(L, 3);
+    if (a->nrow != b->nrow)
+        nerv_error(L, "mismatching number of frames");
+    if (a->ncol != b->ncol * (context * 2 + 1))
+        nerv_error(L, "the width should be 2 * context + 1");
+    cudak_(cuda_expand_frm)(b, a, context);
+    return 0;
+}
+
+static int nerv_matrix_(rearrange_frm)(lua_State *L) {
+    Matrix *a = luaT_checkudata(L, 1, nerv_matrix_(tname));
+    Matrix *b = luaT_checkudata(L, 2, nerv_matrix_(tname));
+    int step = luaL_checkinteger(L, 3);
+    CHECK_SAME_DIMENSION(a, b);
+    if (b->ncol % step)
+        nerv_error(L, "the dimension of columns is not divisible by step");
+    cudak_(cuda_rearrange_frm)(b, a, step);
+    return 0;
+}
+
+static int nerv_matrix_(scale_row)(lua_State *L) {
+    Matrix *a = luaT_checkudata(L, 1, nerv_matrix_(tname));
+    Matrix *b = luaT_checkudata(L, 2, nerv_matrix_(tname));
+    if (a->ncol != b->ncol)
+        nerv_error(L, "the number of columns is not the same");
+    if (b->nrow != 1)
+        nerv_error(L, "a row vector is expected");
+    cudak_(cuda_scale_row)(b, a);
+    return 0;
+}
+
 static const luaL_Reg nerv_matrix_(extra_methods)[] = {
     {"create", nerv_matrix_(create)},
     {"colsum", nerv_matrix_(colsum)},
@@ -303,6 +337,9 @@ static const luaL_Reg nerv_matrix_(extra_methods)[] = {
     {"mul_elem", nerv_matrix_(mul_elem)},
     {"log_elem", nerv_matrix_(log_elem)},
     {"copy_rows_fromh_by_idx", nerv_matrix_(copy_rows_fromh_by_idx)},
+    {"expand_frm", nerv_matrix_(expand_frm)},
+    {"rearrange_frm", nerv_matrix_(rearrange_frm)},
+    {"scale_row", nerv_matrix_(scale_row)},
     {NULL, NULL}
 };
 
diff --git a/matrix/init.lua b/matrix/init.lua
index 057b085..f309f81 100644
--- a/matrix/init.lua
+++ b/matrix/init.lua
@@ -6,7 +6,7 @@ function nerv.Matrix:__tostring__()
     if self.fmt then
         fmt = self.fmt
     else
-        fmt = "%.10f "
+        fmt = "%.8f "
     end
     if nrow == 1 then
         for col = 0, ncol - 1 do
diff --git a/speech b/speech
-Subproject 3b156cd0cd19aa7db97082161921064a0a87132
+Subproject d8ea67ee420c2fc73085da04de86df023acd98d