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Restyle custom elemwise kernels #113

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Oct 5, 2020
Merged

Restyle custom elemwise kernels #113

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73 changes: 39 additions & 34 deletions dpnp/backend/custom_kernels_elemwise.cpp
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Original file line number Diff line number Diff line change
Expand Up @@ -43,18 +43,20 @@
_DataType_output* result = reinterpret_cast<_DataType_output*>(result1); \
\
cl::sycl::range<1> gws(size); \
event = DPNP_QUEUE.submit([&](cl::sycl::handler& cgh) { \
cgh.parallel_for<class custom_elemwise_##__name__##_c_kernel<_DataType_input> >( \
gws, \
[=](cl::sycl::id<1> global_id) \
auto kernel_parallel_for_func = [=](cl::sycl::id<1> global_id) { \
size_t i = global_id[0]; /*for (size_t i = 0; i < size; ++i)*/ \
{ \
size_t i = global_id[0]; /*for (size_t i = 0; i < size; ++i)*/ \
{ \
_DataType_output input_elem = array1[i]; \
result[i] = __operation__; \
} \
}); /* parallel_for */ \
}); /* queue.submit */ \
_DataType_output input_elem = array1[i]; \
result[i] = __operation__; \
} \
}; \
\
auto kernel_func = [&](cl::sycl::handler& cgh) { \
cgh.parallel_for<class custom_elemwise_##__name__##_c_kernel<_DataType_input> >( \
gws, kernel_parallel_for_func); \
}; \
\
event = DPNP_QUEUE.submit(kernel_func); \
\
event.wait(); \
} \
Expand All @@ -79,18 +81,19 @@
_DataType* result = reinterpret_cast<_DataType*>(result1); \
\
cl::sycl::range<1> gws(size); \
event = DPNP_QUEUE.submit([&](cl::sycl::handler& cgh) { \
cgh.parallel_for<class custom_elemwise_##__name__##_c_kernel<_DataType> >( \
gws, \
[=](cl::sycl::id<1> global_id) \
auto kernel_parallel_for_func = [=](cl::sycl::id<1> global_id) { \
size_t i = global_id[0]; /*for (size_t i = 0; i < size; ++i)*/ \
{ \
size_t i = global_id[0]; /*for (size_t i = 0; i < size; ++i)*/ \
{ \
_DataType input_elem = array1[i]; \
result[i] = __operation__; \
} \
}); /* parallel_for */ \
}); /* queue.submit */ \
_DataType input_elem = array1[i]; \
result[i] = __operation__; \
} \
}; \
\
auto kernel_func = [&](cl::sycl::handler& cgh) { \
cgh.parallel_for<class custom_elemwise_##__name__##_c_kernel<_DataType> >(gws, kernel_parallel_for_func); \
}; \
\
event = DPNP_QUEUE.submit(kernel_func); \
\
event.wait(); \
} \
Expand Down Expand Up @@ -118,19 +121,21 @@
_DataType_output* result = reinterpret_cast<_DataType_output*>(result1); \
\
cl::sycl::range<1> gws(size); \
event = DPNP_QUEUE.submit([&](cl::sycl::handler& cgh) { \
cgh.parallel_for<class custom_elemwise_##__name__##_c_kernel<_DataType_input1, _DataType_input2, _DataType_output> >( \
gws, \
[=](cl::sycl::id<1> global_id) \
auto kernel_parallel_for_func = [=](cl::sycl::id<1> global_id) { \
size_t i = global_id[0]; /*for (size_t i = 0; i < size; ++i)*/ \
{ \
size_t i = global_id[0]; /*for (size_t i = 0; i < size; ++i)*/ \
{ \
_DataType_output input_elem1 = array1[i]; \
_DataType_output input_elem2 = array2[i]; \
result[i] = __operation__; \
} \
}); /* parallel_for */ \
}); /* queue.submit */ \
_DataType_output input_elem1 = array1[i]; \
_DataType_output input_elem2 = array2[i]; \
result[i] = __operation__; \
} \
}; \
\
auto kernel_func = [&](cl::sycl::handler& cgh) { \
cgh.parallel_for<class custom_elemwise_##__name__##_c_kernel<_DataType_input1, _DataType_input2, _DataType_output> >( \
gws, kernel_parallel_for_func); \
}; \
\
event = DPNP_QUEUE.submit(kernel_func); \
\
event.wait(); \
} \
Expand Down