Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Use device mem instead of managed for fft workbuf #467

Merged
merged 1 commit into from
Aug 23, 2023
Merged

Use device mem instead of managed for fft workbuf #467

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
25 changes: 15 additions & 10 deletions include/matx/transforms/fft.h
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -172,6 +172,9 @@ template <typename OutTensorType, typename InTensorType> class matxFFTPlan_t {
MATX_NVTX_START("", matx::MATX_NVTX_LOG_INTERNAL)
FftParams_t params;

// Default to default stream, but caller will generally overwrite this
params.stream = 0;

params.irank = i.Rank();
params.orank = o.Rank();

Expand Down Expand Up @@ -429,9 +432,11 @@ class matxFFTPlan1D_t : public matxFFTPlan_t<OutTensorType, InTensorType> {
* Output view
* @param i
* Input view
* @param stream
* CUDA stream in which device memory allocations may be made
*
* */
matxFFTPlan1D_t(OutTensorType &o, const InTensorType &i)
matxFFTPlan1D_t(OutTensorType &o, const InTensorType &i, cudaStream_t stream = 0)
{
MATX_NVTX_START("", matx::MATX_NVTX_LOG_INTERNAL)

Expand Down Expand Up @@ -468,8 +473,7 @@ matxFFTPlan1D_t(OutTensorType &o, const InTensorType &i)
&workspaceSize, this->params_.exec_type);
MATX_ASSERT(error == CUFFT_SUCCESS, matxCufftError);

matxAlloc((void **)&this->workspace_, workspaceSize);
cudaMemPrefetchAsync(this->workspace_, workspaceSize, dev, 0);
matxAlloc((void **)&this->workspace_, workspaceSize, MATX_ASYNC_DEVICE_MEMORY, stream);
cufftSetWorkArea(this->plan_, this->workspace_);

error = cufftXtMakePlanMany(
Expand Down Expand Up @@ -531,6 +535,8 @@ virtual void inline Exec(OutTensorType &o, const InTensorType &i,
* Output view data type
* @tparam T2
* Input view data type
* @param stream
* CUDA stream in which device memory allocations may be made
*/
template <typename OutTensorType, typename InTensorType = OutTensorType>
class matxFFTPlan2D_t : public matxFFTPlan_t<OutTensorType, InTensorType> {
Expand All @@ -548,7 +554,7 @@ class matxFFTPlan2D_t : public matxFFTPlan_t<OutTensorType, InTensorType> {
* Input view
*
* */
matxFFTPlan2D_t(OutTensorType &o, const InTensorType &i)
matxFFTPlan2D_t(OutTensorType &o, const InTensorType &i, cudaStream_t stream = 0)
{
static_assert(RANK >= 2, "2D FFTs require a rank-2 tensor or higher");

Expand Down Expand Up @@ -595,8 +601,7 @@ class matxFFTPlan2D_t : public matxFFTPlan_t<OutTensorType, InTensorType> {
this->params_.output_type, this->params_.batch,
&workspaceSize, this->params_.exec_type);

matxAlloc((void **)&this->workspace_, workspaceSize);
cudaMemPrefetchAsync(this->workspace_, workspaceSize, dev, 0);
matxAlloc((void **)&this->workspace_, workspaceSize, MATX_ASYNC_DEVICE_MEMORY, stream);
cufftSetWorkArea(this->plan_, this->workspace_);

error = cufftXtMakePlanMany(
Expand Down Expand Up @@ -892,7 +897,7 @@ __MATX_INLINE__ void fft_impl(OutputTensor o, const InputTensor i,
// Get cache or new FFT plan if it doesn't exist
auto ret = detail::cache_1d.Lookup(params);
if (ret == std::nullopt) {
auto tmp = new detail::matxFFTPlan1D_t<decltype(out), decltype(in)>{out, in};
auto tmp = new detail::matxFFTPlan1D_t<decltype(out), decltype(in)>{out, in, stream};
detail::cache_1d.Insert(params, static_cast<void *>(tmp));
tmp->Forward(out, in, stream, norm);
}
Expand Down Expand Up @@ -935,7 +940,7 @@ __MATX_INLINE__ void ifft_impl(OutputTensor o, const InputTensor i,
// Get cache or new FFT plan if it doesn't exist
auto ret = detail::cache_1d.Lookup(params);
if (ret == std::nullopt) {
auto tmp = new detail::matxFFTPlan1D_t<decltype(out), decltype(in)>{out, in};
auto tmp = new detail::matxFFTPlan1D_t<decltype(out), decltype(in)>{out, in, stream};
detail::cache_1d.Insert(params, static_cast<void *>(tmp));
tmp->Inverse(out, in, stream, norm);
}
Expand Down Expand Up @@ -991,7 +996,7 @@ __MATX_INLINE__ void fft2_impl(OutputTensor o, const InputTensor i,
// Get cache or new FFT plan if it doesn't exist
auto ret = detail::cache_2d.Lookup(params);
if (ret == std::nullopt) {
auto tmp = new detail::matxFFTPlan2D_t<decltype(out), decltype(in)>{out, in};
auto tmp = new detail::matxFFTPlan2D_t<decltype(out), decltype(in)>{out, in, stream};
detail::cache_2d.Insert(params, static_cast<void *>(tmp));
tmp->Forward(out, in, stream);
}
Expand Down Expand Up @@ -1047,7 +1052,7 @@ __MATX_INLINE__ void ifft2_impl(OutputTensor o, const InputTensor i,
// Get cache or new FFT plan if it doesn't exist
auto ret = detail::cache_2d.Lookup(params);
if (ret == std::nullopt) {
auto tmp = new detail::matxFFTPlan2D_t<decltype(in), decltype(out)>{out, in};
auto tmp = new detail::matxFFTPlan2D_t<decltype(in), decltype(out)>{out, in, stream};
detail::cache_2d.Insert(params, static_cast<void *>(tmp));
tmp->Inverse(out, in, stream);
}
Expand Down