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Diffstat (limited to 'generic/Square.c')
-rw-r--r--generic/Square.c57
1 files changed, 51 insertions, 6 deletions
diff --git a/generic/Square.c b/generic/Square.c
index 409055d..97baee3 100644
--- a/generic/Square.c
+++ b/generic/Square.c
@@ -6,12 +6,32 @@ static int nn_(Square_updateOutput)(lua_State *L)
{
THTensor *input = luaT_checkudata(L, 2, torch_(Tensor_id));
THTensor *output = luaT_getfieldcheckudata(L, 1, "output", torch_(Tensor_id));
-
- THTensor_(resizeAs)(output, input);
- TH_TENSOR_APPLY2(real, output, real, input, \
- *output_data = *input_data * *input_data;);
+ THTensor_(resizeAs)(output, input);
+
+ if (input->nDimension == 1 || !THTensor_(isContiguous)(input) || !THTensor_(isContiguous)(output))
+ {
+ TH_TENSOR_APPLY2(real, output, real, input, \
+ *output_data = (*input_data) * (*input_data););
+ }
+ else
+ {
+ real* output_data = THTensor_(data)(output);
+ real* input_data = THTensor_(data)(input);
+ long k;
+#pragma omp parallel for private(k)
+ for (k = 0; k < input->size[0]; k++)
+ {
+ real* ptr_output = output_data + k*input->stride[0];
+ real* ptr_input = input_data + k*input->stride[0];
+ long i;
+ for (i = 0; i < input->stride[0]; i++)
+ {
+ ptr_output[i] = ptr_input[i]*ptr_input[i];
+ }
+ }
+ }
return 1;
}
@@ -23,9 +43,34 @@ static int nn_(Square_updateGradInput)(lua_State *L)
THTensor_(resizeAs)(gradInput, input);
- TH_TENSOR_APPLY3(real, gradInput, real, gradOutput, real, input, \
- *gradInput_data = 2.0 * (*gradOutput_data) * (*input_data););
+ if (input->nDimension == 1 ||
+ !THTensor_(isContiguous)(input) ||
+ !THTensor_(isContiguous)(gradOutput) ||
+ !THTensor_(isContiguous)(gradInput))
+ {
+ TH_TENSOR_APPLY3(real, gradInput, real, gradOutput, real, input, \
+ *gradInput_data = (*gradOutput_data) * (*input_data););
+ }
+ else
+ {
+ real* gradOutput_data = THTensor_(data)(gradOutput);
+ real* gradInput_data = THTensor_(data)(gradInput);
+ real* input_data = THTensor_(data)(input);
+ long k;
+#pragma omp parallel for private(k)
+ for (k = 0; k < input->size[0]; k++)
+ {
+ real* ptr_gradOutput = gradOutput_data + k*input->stride[0];
+ real* ptr_gradInput = gradInput_data + k*input->stride[0];
+ real* ptr_input = input_data + k*input->stride[0];
+ long i;
+ for (i = 0; i < input->stride[0]; i++)
+ {
+ ptr_gradInput[i] = 2.0 * ptr_gradOutput[i] * ptr_input[i];
+ }
+ }
+ }
return 1;
}