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Tensors can now be scaled. #4

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2 changes: 2 additions & 0 deletions README.md
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Original file line number Diff line number Diff line change
Expand Up @@ -182,6 +182,8 @@ cuttResult cuttDestroy(cuttHandle handle);
// handle = Returned handle to cuTT plan
// idata = Input data size product(dim)
// odata = Output data size product(dim)
// alpha = scaling-factor for input
// beta = scaling-factor for output
//
// Returns
// Success/unsuccess code
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8 changes: 4 additions & 4 deletions src/cutt.cpp
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Expand Up @@ -184,7 +184,7 @@ cuttResult cuttPlan(cuttHandle* handle, int rank, int* dim, int* permutation, si
}

cuttResult cuttPlanMeasure(cuttHandle* handle, int rank, int* dim, int* permutation, size_t sizeofType,
cudaStream_t stream, void* idata, void* odata) {
cudaStream_t stream, void* idata, void* odata, void* alpha, void *beta) {

// Check that input parameters are valid
cuttResult inpCheck = cuttPlanCheckInput(rank, dim, permutation, sizeofType);
Expand Down Expand Up @@ -245,7 +245,7 @@ cuttResult cuttPlanMeasure(cuttHandle* handle, int rank, int* dim, int* permutat
cudaCheck(cudaDeviceSynchronize());
timer.start();
// Execute plan
if (!cuttKernel(*it, idata, odata)) return CUTT_INTERNAL_ERROR;
if (!cuttKernel(*it, idata, odata, alpha, beta)) return CUTT_INTERNAL_ERROR;
timer.stop();
double curTime = timer.seconds();
// it->print();
Expand Down Expand Up @@ -293,7 +293,7 @@ cuttResult cuttDestroy(cuttHandle handle) {
return CUTT_SUCCESS;
}

cuttResult cuttExecute(cuttHandle handle, void* idata, void* odata) {
cuttResult cuttExecute(cuttHandle handle, void* idata, void* odata, void* alpha, void* beta) {
auto it = planStorage.find(handle);
if (it == planStorage.end()) return CUTT_INVALID_PLAN;

Expand All @@ -305,6 +305,6 @@ cuttResult cuttExecute(cuttHandle handle, void* idata, void* odata) {
cudaCheck(cudaGetDevice(&deviceID));
if (deviceID != plan.deviceID) return CUTT_INVALID_DEVICE;

if (!cuttKernel(plan, idata, odata)) return CUTT_INTERNAL_ERROR;
if (!cuttKernel(plan, idata, odata, alpha, beta)) return CUTT_INTERNAL_ERROR;
return CUTT_SUCCESS;
}
8 changes: 5 additions & 3 deletions src/cutt.h
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Expand Up @@ -74,7 +74,7 @@ cuttResult cuttPlan(cuttHandle* handle, int rank, int* dim, int* permutation, si
// Success/unsuccess code
//
cuttResult cuttPlanMeasure(cuttHandle* handle, int rank, int* dim, int* permutation, size_t sizeofType,
cudaStream_t stream, void* idata, void* odata);
cudaStream_t stream, void* idata, void* odata, void* alpha = NULL, void* beta = NULL);

//
// Destroy plan
Expand All @@ -88,16 +88,18 @@ cuttResult cuttPlanMeasure(cuttHandle* handle, int rank, int* dim, int* permutat
cuttResult cuttDestroy(cuttHandle handle);

//
// Execute plan out-of-place
// Execute plan out-of-place; performs a tensor transposition of the form \f[ \mathcal{B}_{\pi(i_0,i_1,...,i_{d-1})} \gets \alpha * \mathcal{A}_{i_0,i_1,...,i_{d-1}} + \beta * \mathcal{B}_{\pi(i_0,i_1,...,i_{d-1})}, \f]
//
// Parameters
// handle = Returned handle to cuTT plan
// idata = Input data size product(dim)
// odata = Output data size product(dim)
// alpha = scalar for input
// beta = scalar for output
//
// Returns
// Success/unsuccess code
//
cuttResult cuttExecute(cuttHandle handle, void* idata, void* odata);
cuttResult cuttExecute(cuttHandle handle, void* idata, void* odata, void* alpha = NULL, void* beta = NULL);

#endif // CUTT_H
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