423A35C7/pytorch3d
1
0
Fork 0
mirror of https://github.com/facebookresearch/pytorch3d.git synced 2025-12-20 22:30:35 +08:00
Code Issues Packages Projects Releases Wiki Activity

clang-format | Format fbsource with clang-format 21.

Browse Source 
Reviewed By: ChristianK275

Differential Revision: D85317706

fbshipit-source-id: b399c5c4b75252999442b7d7d2778e7a241b0025
This commit is contained in:
Nikita Lutsenko
2025-10-26 23:40:59 -07:00
committed by meta-codesync[bot]
parent fc6a6b8951
commit 45df20e9e2
6 changed files with 29 additions and 36 deletions
Download Patch File Download Diff File Expand all files Collapse all files

3
pytorch3d/csrc/ext.cpp
View File

@@ -105,7 +105,8 @@ PYBIND11_MODULE(TORCH_EXTENSION_NAME, m) {
py::class_<
pulsar::pytorch::Renderer,
std::shared_ptr<pulsar::pytorch::Renderer>>(m, "PulsarRenderer")
.def(py::init<
.def(
py::init<
const uint&,
const uint&,
const uint&,

24
pytorch3d/csrc/utils/dispatch.cuh
View File

@@ -99,8 +99,7 @@ namespace {
// and increment it via template recursion until it is equal to the run-time
// argument N.
template <
template <typename, int64_t>
class Kernel,
template <typename, int64_t> class Kernel,
typename T,
int64_t minN,
int64_t maxN,
@@ -124,8 +123,7 @@ struct DispatchKernelHelper1D {
// 1D dispatch: Specialization when curN == maxN
// We need this base case to avoid infinite template recursion.
template <
template <typename, int64_t>
class Kernel,
template <typename, int64_t> class Kernel,
typename T,
int64_t minN,
int64_t maxN,
@@ -145,8 +143,7 @@ struct DispatchKernelHelper1D<Kernel, T, minN, maxN, maxN, Args...> {
// the run-time values of N and M, at which point we dispatch to the run
// method of the kernel.
template <
template <typename, int64_t, int64_t>
class Kernel,
template <typename, int64_t, int64_t> class Kernel,
typename T,
int64_t minN,
int64_t maxN,
@@ -203,8 +200,7 @@ struct DispatchKernelHelper2D {
// 2D dispatch, specialization for curN == maxN
template <
template <typename, int64_t, int64_t>
class Kernel,
template <typename, int64_t, int64_t> class Kernel,
typename T,
int64_t minN,
int64_t maxN,
@@ -243,8 +239,7 @@ struct DispatchKernelHelper2D<
// 2D dispatch, specialization for curM == maxM
template <
template <typename, int64_t, int64_t>
class Kernel,
template <typename, int64_t, int64_t> class Kernel,
typename T,
int64_t minN,
int64_t maxN,
@@ -283,8 +278,7 @@ struct DispatchKernelHelper2D<
// 2D dispatch, specialization for curN == maxN, curM == maxM
template <
template <typename, int64_t, int64_t>
class Kernel,
template <typename, int64_t, int64_t> class Kernel,
typename T,
int64_t minN,
int64_t maxN,
@@ -313,8 +307,7 @@ struct DispatchKernelHelper2D<
// This is the function we expect users to call to dispatch to 1D functions
template <
template <typename, int64_t>
class Kernel,
template <typename, int64_t> class Kernel,
typename T,
int64_t minN,
int64_t maxN,
@@ -330,8 +323,7 @@ void DispatchKernel1D(const int64_t N, Args... args) {
// This is the function we expect users to call to dispatch to 2D functions
template <
template <typename, int64_t, int64_t>
class Kernel,
template <typename, int64_t, int64_t> class Kernel,
typename T,
int64_t minN,
int64_t maxN,