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use sycl_adapter in krnl_elemwise #896

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Merged
merged 1 commit into from
Aug 29, 2021
Merged

use sycl_adapter in krnl_elemwise #896

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14 changes: 10 additions & 4 deletions dpnp/backend/kernels/dpnp_krnl_elemwise.cpp
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Original file line number Diff line number Diff line change
Expand Up @@ -27,9 +27,11 @@
#include <iostream>

#include <dpnp_iface.hpp>

#include "dpnp_fptr.hpp"
#include "dpnp_iterator.hpp"
#include "dpnp_utils.hpp"
#include "dpnpc_memory_adapter.hpp"
#include "queue_sycl.hpp"

#define MACRO_1ARG_2TYPES_OP(__name__, __operation1__, __operation2__) \
Expand All @@ -40,8 +42,9 @@
void __name__(void* array1_in, void* result1, size_t size) \
{ \
cl::sycl::event event; \
DPNPC_ptr_adapter<_DataType_input> input1_ptr(array1_in, size); \
\
_DataType_input* array1 = reinterpret_cast<_DataType_input*>(array1_in); \
_DataType_input* array1 = input1_ptr.get_ptr(); \
_DataType_output* result = reinterpret_cast<_DataType_output*>(result1); \
\
cl::sycl::range<1> gws(size); \
Expand Down Expand Up @@ -259,7 +262,8 @@ static void func_map_init_elemwise_1arg_2type(func_map_t& fmap)
return; \
} \
\
_DataType* array1 = reinterpret_cast<_DataType*>(array1_in); \
DPNPC_ptr_adapter<_DataType> input1_ptr(array1_in, size); \
_DataType* array1 = input1_ptr.get_ptr(); \
_DataType* result = reinterpret_cast<_DataType*>(result1); \
\
cl::sycl::range<1> gws(size); \
Expand Down Expand Up @@ -366,8 +370,10 @@ static void func_map_init_elemwise_1arg_1type(func_map_t& fmap)
return; \
} \
\
_DataType_input1* input1_data = reinterpret_cast<_DataType_input1*>(const_cast<void*>(input1_in)); \
_DataType_input2* input2_data = reinterpret_cast<_DataType_input2*>(const_cast<void*>(input2_in)); \
DPNPC_ptr_adapter<_DataType_input1> input1_ptr(input1_in, input1_size); \
DPNPC_ptr_adapter<_DataType_input2> input2_ptr(input2_in, input2_size); \
_DataType_input1* input1_data = input1_ptr.get_ptr(); \
_DataType_input2* input2_data = input2_ptr.get_ptr(); \
_DataType_output* result = reinterpret_cast<_DataType_output*>(result_out); \
\
std::vector<size_t> result_shape = \
Expand Down