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vtavanavtavana
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clean up legacy implementation form backend (#2115)
* clean up legacy statistics * remove cov from dpnp_iface.hpp * clean up legacy sqrt * clean up legacy backend * remove functions from dpnp/backend/src/dpnp_utils.hpp
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‎dpnp/backend/CMakeLists.txt‎

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@@ -30,8 +30,6 @@ set(DPNP_SRC
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kernels/dpnp_krnl_indexing.cpp
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kernels/dpnp_krnl_mathematical.cpp
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kernels/dpnp_krnl_random.cpp
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kernels/dpnp_krnl_reduction.cpp
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kernels/dpnp_krnl_searching.cpp
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kernels/dpnp_krnl_sorting.cpp
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kernels/dpnp_krnl_statistics.cpp
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src/constants.cpp

‎dpnp/backend/examples/example8.cpp‎

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‎dpnp/backend/examples/example9.cpp‎

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‎dpnp/backend/include/dpnp_iface.hpp‎

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@@ -163,52 +163,6 @@ INP_DLLEXPORT void dpnp_dot_c(void *result_out,
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const shape_elem_type *input2_shape,
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const shape_elem_type *input2_strides);
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/**
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* @ingroup BACKEND_API
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* @brief Compute summary of input array elements.
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*
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* Input array is expected as @ref _DataType_input type and assume result as
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* @ref _DataType_output type. The function creates no memory.
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*
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* Empty @ref input_shape means scalar.
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*
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* @param [in] q_ref Reference to SYCL queue.
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* @param [out] result_out Output array pointer. @ref _DataType_output
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* type is expected
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* @param [in] input_in Input array pointer. @ref _DataType_input type
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* is expected
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* @param [in] input_shape Shape of @ref input_in
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* @param [in] input_shape_ndim Number of elements in @ref input_shape
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* @param [in] axes Array of axes to apply to @ref input_shape
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* @param [in] axes_ndim Number of elements in @ref axes
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* @param [in] initial Pointer to initial value for the algorithm.
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* @ref _DataType_input is expected
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* @param [in] where mask array
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* @param [in] dep_event_vec_ref Reference to vector of SYCL events.
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*/
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template <typename _DataType_output, typename _DataType_input>
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INP_DLLEXPORT DPCTLSyclEventRef
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dpnp_sum_c(DPCTLSyclQueueRef q_ref,
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void *result_out,
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const void *input_in,
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const shape_elem_type *input_shape,
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const size_t input_shape_ndim,
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const shape_elem_type *axes,
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const size_t axes_ndim,
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const void *initial,
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const long *where,
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const DPCTLEventVectorRef dep_event_vec_ref);
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template <typename _DataType_output, typename _DataType_input>
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INP_DLLEXPORT void dpnp_sum_c(void *result_out,
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const void *input_in,
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const shape_elem_type *input_shape,
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const size_t input_shape_ndim,
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const shape_elem_type *axes,
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const size_t axes_ndim,
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const void *initial,
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const long *where);
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/**
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* @ingroup BACKEND_API
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* @brief Return a partitioned copy of an array.
@@ -241,107 +195,6 @@ INP_DLLEXPORT void dpnp_partition_c(void *array,
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const shape_elem_type *shape,
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const size_t ndim);
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/**
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* @ingroup BACKEND_API
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* @brief Compute Product of input array elements.
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*
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* Input array is expected as @ref _DataType_input type and assume result as
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* @ref _DataType_output type. The function creates no memory.
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*
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* Empty @ref input_shape means scalar.
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*
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* @param [in] q_ref Reference to SYCL queue.
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* @param [out] result_out Output array pointer. @ref _DataType_output
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* type is expected
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* @param [in] input_in Input array pointer. @ref _DataType_input type
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* is expected
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* @param [in] input_shape Shape of @ref input_in
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* @param [in] input_shape_ndim Number of elements in @ref input_shape
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* @param [in] axes Array of axes to apply to @ref input_shape
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* @param [in] axes_ndim Number of elements in @ref axes
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* @param [in] initial Pointer to initial value for the algorithm.
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* @ref _DataType_input is expected
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* @param [in] where mask array
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* @param [in] dep_event_vec_ref Reference to vector of SYCL events.
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*/
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template <typename _DataType_output, typename _DataType_input>
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INP_DLLEXPORT DPCTLSyclEventRef
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dpnp_prod_c(DPCTLSyclQueueRef q_ref,
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void *result_out,
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const void *input_in,
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const shape_elem_type *input_shape,
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const size_t input_shape_ndim,
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const shape_elem_type *axes,
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const size_t axes_ndim,
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const void *initial,
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const long *where,
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const DPCTLEventVectorRef dep_event_vec_ref);
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template <typename _DataType_output, typename _DataType_input>
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INP_DLLEXPORT void dpnp_prod_c(void *result_out,
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const void *input_in,
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const shape_elem_type *input_shape,
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const size_t input_shape_ndim,
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const shape_elem_type *axes,
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const size_t axes_ndim,
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const void *initial,
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const long *where);
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/**
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* @ingroup BACKEND_API
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* @brief math library implementation of argsort function
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*
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* @param [in] q_ref Reference to SYCL queue.
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* @param [in] array Input array with data.
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* @param [out] result Output array with indices.
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* @param [in] size Number of elements in input arrays.
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* @param [in] dep_event_vec_ref Reference to vector of SYCL events.
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*/
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template <typename _DataType, typename _idx_DataType>
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INP_DLLEXPORT DPCTLSyclEventRef
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dpnp_argsort_c(DPCTLSyclQueueRef q_ref,
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void *array,
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void *result,
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size_t size,
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const DPCTLEventVectorRef dep_event_vec_ref);
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template <typename _DataType, typename _idx_DataType>
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INP_DLLEXPORT void dpnp_argsort_c(void *array, void *result, size_t size);
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/**
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* @ingroup BACKEND_API
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* @brief math library implementation of searchsorted function
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*
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* @param [in] q_ref Reference to SYCL queue.
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* @param [out] result Output array.
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* @param [in] array Input array with data.
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* @param [in] v Input values to insert into array.
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* @param [in] side Param for choosing a case of searching for
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* elements.
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* @param [in] arr_size Number of elements in input arrays.
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* @param [in] v_size Number of elements in input values arrays.
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* @param [in] dep_event_vec_ref Reference to vector of SYCL events.
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*/
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template <typename _DataType, typename _IndexingType>
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INP_DLLEXPORT DPCTLSyclEventRef
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dpnp_searchsorted_c(DPCTLSyclQueueRef q_ref,
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void *result,
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const void *array,
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const void *v,
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bool side,
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const size_t arr_size,
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const size_t v_size,
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const DPCTLEventVectorRef dep_event_vec_ref);
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template <typename _DataType, typename _IndexingType>
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INP_DLLEXPORT void dpnp_searchsorted_c(void *result,
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const void *array,
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const void *v,
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bool side,
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const size_t arr_size,
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const size_t v_size);
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/**
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* @ingroup BACKEND_API
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* @brief math library implementation of sort function
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const shape_elem_type *axis,
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size_t naxis);
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/**
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* @ingroup BACKEND_API
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* @brief math library implementation of argmax function
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*
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* @param [in] q_ref Reference to SYCL queue.
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* @param [in] array Input array with data.
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* @param [out] result Output array with indices.
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* @param [in] size Number of elements in input array.
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* @param [in] dep_event_vec_ref Reference to vector of SYCL events.
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*/
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template <typename _DataType, typename _idx_DataType>
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INP_DLLEXPORT DPCTLSyclEventRef
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dpnp_argmax_c(DPCTLSyclQueueRef q_ref,
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void *array,
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void *result,
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size_t size,
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const DPCTLEventVectorRef dep_event_vec_ref);
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template <typename _DataType, typename _idx_DataType>
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INP_DLLEXPORT void dpnp_argmax_c(void *array, void *result, size_t size);
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/**
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* @ingroup BACKEND_API
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* @brief math library implementation of argmin function
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*
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* @param [in] q_ref Reference to SYCL queue.
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* @param [in] array Input array with data.
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* @param [out] result Output array with indices.
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* @param [in] size Number of elements in input array.
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* @param [in] dep_event_vec_ref Reference to vector of SYCL events.
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*/
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template <typename _DataType, typename _idx_DataType>
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INP_DLLEXPORT DPCTLSyclEventRef
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dpnp_argmin_c(DPCTLSyclQueueRef q_ref,
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void *array,
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void *result,
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size_t size,
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const DPCTLEventVectorRef dep_event_vec_ref);
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template <typename _DataType, typename _idx_DataType>
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INP_DLLEXPORT void dpnp_argmin_c(void *array, void *result, size_t size);
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#define MACRO_1ARG_1TYPE_OP(__name__, __operation1__, __operation2__) \
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template <typename _DataType> \
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INP_DLLEXPORT DPCTLSyclEventRef __name__( \

‎dpnp/backend/include/dpnp_iface_fptr.hpp‎

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@@ -59,9 +59,6 @@
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enum class DPNPFuncName : size_t
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{
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DPNP_FN_NONE, /**< Very first element of the enumeration */
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DPNP_FN_ARGMAX, /**< Used in numpy.argmax() impl */
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DPNP_FN_ARGMIN, /**< Used in numpy.argmin() impl */
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DPNP_FN_ARGSORT, /**< Used in numpy.argsort() impl */
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DPNP_FN_CHOOSE, /**< Used in numpy.choose() impl */
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DPNP_FN_CHOOSE_EXT, /**< Used in numpy.choose() impl, requires extra
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parameters */
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DPNP_FN_PARTITION, /**< Used in numpy.partition() impl */
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DPNP_FN_PARTITION_EXT, /**< Used in numpy.partition() impl, requires extra
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parameters */
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DPNP_FN_PROD, /**< Used in numpy.prod() impl */
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DPNP_FN_RNG_BETA, /**< Used in numpy.random.beta() impl */
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DPNP_FN_RNG_BETA_EXT, /**< Used in numpy.random.beta() impl, requires extra
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DPNP_FN_RNG_ZIPF, /**< Used in numpy.random.zipf() impl */
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DPNP_FN_RNG_ZIPF_EXT, /**< Used in numpy.random.zipf() impl, requires extra
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DPNP_FN_SEARCHSORTED, /**< Used in numpy.searchsorted() impl */
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DPNP_FN_SORT, /**< Used in numpy.sort() impl */
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DPNP_FN_SUM, /**< Used in numpy.sum() impl */
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DPNP_FN_ZEROS, /**< Used in numpy.zeros() impl */
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DPNP_FN_ZEROS_LIKE, /**< Used in numpy.zeros_like() impl */
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DPNP_FN_LAST, /**< The latest element of the enumeration */

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