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Commit 5912630

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umar456umar456
committed
Update clang-format version to 15 in GitHub actions
1 parent 0ba4365 commit 5912630
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‎.github/workflows/unix_cpu_build.yml

Copy file name to clipboardExpand all lines: .github/workflows/unix_cpu_build.yml
+2-2Lines changed: 2 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -17,11 +17,11 @@ jobs:
1717
uses: actions/checkout@master
1818

1919
- name: Check Sources
20-
uses: DoozyX/clang-format-lint-action@v0.14
20+
uses: DoozyX/clang-format-lint-action@v0.15
2121
with:
2222
source: './src ./test ./examples'
2323
extensions: 'h,cpp,hpp'
24-
clangFormatVersion: 14
24+
clangFormatVersion: 15
2525

2626
documentation:
2727
name: Documentation

‎src/api/unified/symbol_manager.hpp

Copy file name to clipboardExpand all lines: src/api/unified/symbol_manager.hpp
+1-1Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -156,7 +156,7 @@ bool checkArrays(af_backend activeBackend, T a, Args... arg) {
156156
if (index_ != arrayfire::unified::getActiveBackend()) { \
157157
index_ = arrayfire::unified::getActiveBackend(); \
158158
func = (af_func)arrayfire::common::getFunctionPointer( \
159-
arrayfire::unified::getActiveHandle(), __func__); \
159+
arrayfire::unified::getActiveHandle(), __func__); \
160160
} \
161161
return func(__VA_ARGS__); \
162162
} else { \

‎src/backend/common/graphics_common.cpp

Copy file name to clipboardExpand all lines: src/backend/common/graphics_common.cpp
+1-1Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -260,7 +260,7 @@ fg_window ForgeManager::getMainWindow() {
260260
}
261261
fg_window w = nullptr;
262262
forgeError = this->mPlugin->fg_create_window(
263-
&w, WIDTH, HEIGHT, "ArrayFire", NULL, true);
263+
&w, WIDTH, HEIGHT, "ArrayFire", NULL, true);
264264
if (forgeError != FG_ERR_NONE) { return; }
265265
this->setWindowChartGrid(w, 1, 1);
266266
this->mPlugin->fg_make_window_current(w);

‎src/backend/cpu/convolve.cpp

Copy file name to clipboardExpand all lines: src/backend/cpu/convolve.cpp
+2-2Lines changed: 2 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -193,7 +193,7 @@ Array<T> conv2DataGradient(const Array<T> &incoming_gradient,
193193
Array<T> collapsed_gradient = incoming_gradient;
194194
collapsed_gradient = reorder(collapsed_gradient, dim4(0, 1, 3, 2));
195195
collapsed_gradient = modDims(
196-
collapsed_gradient, dim4(cDims[0] * cDims[1] * cDims[3], cDims[2]));
196+
collapsed_gradient, dim4(cDims[0] * cDims[1] * cDims[3], cDims[2]));
197197

198198
Array<T> res =
199199
matmul(collapsed_gradient, collapsed_filter, AF_MAT_NONE, AF_MAT_TRANS);
@@ -232,7 +232,7 @@ Array<T> conv2FilterGradient(const Array<T> &incoming_gradient,
232232
Array<T> collapsed_gradient = incoming_gradient;
233233
collapsed_gradient = reorder(collapsed_gradient, dim4(0, 1, 3, 2));
234234
collapsed_gradient = modDims(
235-
collapsed_gradient, dim4(cDims[0] * cDims[1] * cDims[3], cDims[2]));
235+
collapsed_gradient, dim4(cDims[0] * cDims[1] * cDims[3], cDims[2]));
236236

237237
Array<T> res =
238238
matmul(unwrapped, collapsed_gradient, AF_MAT_NONE, AF_MAT_NONE);

‎src/backend/cuda/convolveNN.cpp

Copy file name to clipboardExpand all lines: src/backend/cuda/convolveNN.cpp
+2-2Lines changed: 2 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -260,7 +260,7 @@ Array<T> data_gradient_base(const Array<T> &incoming_gradient,
260260
Array<T> collapsed_gradient = incoming_gradient;
261261
collapsed_gradient = reorder(collapsed_gradient, dim4(0, 1, 3, 2));
262262
collapsed_gradient = modDims(
263-
collapsed_gradient, dim4(cDims[0] * cDims[1] * cDims[3], cDims[2]));
263+
collapsed_gradient, dim4(cDims[0] * cDims[1] * cDims[3], cDims[2]));
264264

265265
T alpha = scalar<T>(1.0);
266266
T beta = scalar<T>(0.0);
@@ -390,7 +390,7 @@ Array<T> filter_gradient_base(const Array<T> &incoming_gradient,
390390
Array<T> collapsed_gradient = incoming_gradient;
391391
collapsed_gradient = reorder(collapsed_gradient, dim4(0, 1, 3, 2));
392392
collapsed_gradient = modDims(
393-
collapsed_gradient, dim4(cDims[0] * cDims[1] * cDims[3], cDims[2]));
393+
collapsed_gradient, dim4(cDims[0] * cDims[1] * cDims[3], cDims[2]));
394394

395395
T alpha = scalar<T>(1.0);
396396
T beta = scalar<T>(0.0);

‎src/backend/cuda/kernel/random_engine.hpp

Copy file name to clipboardExpand all lines: src/backend/cuda/kernel/random_engine.hpp
+2-2Lines changed: 2 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -60,9 +60,9 @@ static const int THREADS = 256;
6060
#define HALF_HALF_FACTOR __ushort_as_half(0x80)
6161

6262
// Conversion to half adapted from Random123
63-
//#define SIGNED_HALF_FACTOR \
63+
// #define SIGNED_HALF_FACTOR \
6464
//((1.0f) / (std::numeric_limits<short>::max() + (1.0f)))
65-
//#define SIGNED_HALF_HALF_FACTOR ((0.5f) * SIGNED_HALF_FACTOR)
65+
// #define SIGNED_HALF_HALF_FACTOR ((0.5f) * SIGNED_HALF_FACTOR)
6666
//
6767
// NOTE: The following constants for half were calculated using the formulas
6868
// above. This is done so that we can avoid unnecessary computations because the

‎src/backend/oneapi/compile_module.cpp

Copy file name to clipboardExpand all lines: src/backend/oneapi/compile_module.cpp
+2-2Lines changed: 2 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -72,7 +72,7 @@ namespace arrayfire {
7272
namespace oneapi {
7373

7474
// const static string DEFAULT_MACROS_STR(
75-
// "\n\
75+
// "\n\
7676
//#ifdef USE_DOUBLE\n\
7777
//#pragma OPENCL EXTENSION cl_khr_fp64 : enable\n\
7878
//#endif\n \
@@ -84,7 +84,7 @@ namespace oneapi {
8484
//#ifndef M_PI\n \
8585
//#define
8686
// M_PI 3.1415926535897932384626433832795028841971693993751058209749445923078164\n
87-
// \
87+
// \
8888
//#endif\n \
8989
//");
9090

‎src/backend/oneapi/exampleFunction.cpp

Copy file name to clipboardExpand all lines: src/backend/oneapi/exampleFunction.cpp
+5-5Lines changed: 5 additions & 5 deletions
Original file line numberDiff line numberDiff line change
@@ -16,11 +16,11 @@
1616
#include <err_oneapi.hpp> // error check functions and Macros
1717
// specific to oneapi backend
1818

19-
//#include <kernel/exampleFunction.hpp> // this header under the folder
20-
// src/oneapi/kernel
21-
// defines the OneAPI kernel wrapper
22-
// function to which the main computation of your
23-
// algorithm should be relayed to
19+
// #include <kernel/exampleFunction.hpp> // this header under the folder
20+
// src/oneapi/kernel
21+
// defines the OneAPI kernel wrapper
22+
// function to which the main computation of your
23+
// algorithm should be relayed to
2424

2525
using af::dim4;
2626

‎src/backend/opencl/convolve.cpp

Copy file name to clipboardExpand all lines: src/backend/opencl/convolve.cpp
+2-2Lines changed: 2 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -185,7 +185,7 @@ Array<T> conv2DataGradient(const Array<T> &incoming_gradient,
185185
Array<T> collapsed_gradient = incoming_gradient;
186186
collapsed_gradient = reorder(collapsed_gradient, dim4(0, 1, 3, 2));
187187
collapsed_gradient = modDims(
188-
collapsed_gradient, dim4(cDims[0] * cDims[1] * cDims[3], cDims[2]));
188+
collapsed_gradient, dim4(cDims[0] * cDims[1] * cDims[3], cDims[2]));
189189

190190
Array<T> res =
191191
matmul(collapsed_gradient, collapsed_filter, AF_MAT_NONE, AF_MAT_TRANS);
@@ -224,7 +224,7 @@ Array<T> conv2FilterGradient(const Array<T> &incoming_gradient,
224224
Array<T> collapsed_gradient = incoming_gradient;
225225
collapsed_gradient = reorder(collapsed_gradient, dim4(0, 1, 3, 2));
226226
collapsed_gradient = modDims(
227-
collapsed_gradient, dim4(cDims[0] * cDims[1] * cDims[3], cDims[2]));
227+
collapsed_gradient, dim4(cDims[0] * cDims[1] * cDims[3], cDims[2]));
228228

229229
Array<T> res =
230230
matmul(unwrapped, collapsed_gradient, AF_MAT_NONE, AF_MAT_NONE);

‎src/backend/opencl/memory.cpp

Copy file name to clipboardExpand all lines: src/backend/opencl/memory.cpp
+2-2Lines changed: 2 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -204,8 +204,8 @@ size_t Allocator::getMaxMemorySize(int id) {
204204
void *Allocator::nativeAlloc(const size_t bytes) {
205205
cl_int err = CL_SUCCESS;
206206
auto ptr = static_cast<void *>(clCreateBuffer(
207-
getContext()(), CL_MEM_READ_WRITE, // NOLINT(hicpp-signed-bitwise)
208-
bytes, nullptr, &err));
207+
getContext()(), CL_MEM_READ_WRITE, // NOLINT(hicpp-signed-bitwise)
208+
bytes, nullptr, &err));
209209

210210
if (err != CL_SUCCESS) {
211211
auto str = fmt::format("Failed to allocate device memory of size {}",

‎src/backend/opencl/svd.cpp

Copy file name to clipboardExpand all lines: src/backend/opencl/svd.cpp
+2-2Lines changed: 2 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -137,8 +137,8 @@ void svd(Array<T> &arrU, Array<Tr> &arrS, Array<T> &arrVT, Array<T> &arrA,
137137

138138
if (want_vectors) {
139139
mappedU = static_cast<T *>(getQueue().enqueueMapBuffer(
140-
*arrU.get(), CL_FALSE, CL_MAP_WRITE, sizeof(T) * arrU.getOffset(),
141-
sizeof(T) * arrU.elements()));
140+
*arrU.get(), CL_FALSE, CL_MAP_WRITE, sizeof(T) * arrU.getOffset(),
141+
sizeof(T) * arrU.elements()));
142142
mappedVT = static_cast<T *>(getQueue().enqueueMapBuffer(
143143
*arrVT.get(), CL_TRUE, CL_MAP_WRITE, sizeof(T) * arrVT.getOffset(),
144144
sizeof(T) * arrVT.elements()));

‎src/backend/opencl/topk.cpp

Copy file name to clipboardExpand all lines: src/backend/opencl/topk.cpp
+3-3Lines changed: 3 additions & 3 deletions
Original file line numberDiff line numberDiff line change
@@ -76,13 +76,13 @@ void topk(Array<T>& vals, Array<unsigned>& idxs, const Array<T>& in,
7676
cl::Event ev_in, ev_val, ev_ind;
7777

7878
T* ptr = static_cast<T*>(getQueue().enqueueMapBuffer(
79-
*in_buf, CL_FALSE, CL_MAP_READ, 0, in.elements() * sizeof(T),
80-
nullptr, &ev_in));
79+
*in_buf, CL_FALSE, CL_MAP_READ, 0, in.elements() * sizeof(T),
80+
nullptr, &ev_in));
8181
uint* iptr = static_cast<uint*>(getQueue().enqueueMapBuffer(
8282
*ibuf, CL_FALSE, CL_MAP_READ | CL_MAP_WRITE, 0, k * sizeof(uint),
8383
nullptr, &ev_ind));
8484
T* vptr = static_cast<T*>(getQueue().enqueueMapBuffer(
85-
*vbuf, CL_FALSE, CL_MAP_WRITE, 0, k * sizeof(T), nullptr, &ev_val));
85+
*vbuf, CL_FALSE, CL_MAP_WRITE, 0, k * sizeof(T), nullptr, &ev_val));
8686

8787
vector<uint> idx(in.elements());
8888

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