binaryop.hpp

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/*
 * Copyright (c) 2019-2023, NVIDIA CORPORATION.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *     http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */
 
#pragma once
 
#include <cudf/column/column.hpp>
#include <cudf/scalar/scalar.hpp>
 
#include <rmm/mr/device/per_device_resource.hpp>
 
#include <memory>
 
namespace cudf {
 
enum class binary_operator : int32_t {
  ADD,          
  SUB,          
  MUL,          
  DIV,          
  TRUE_DIV,     
  FLOOR_DIV,    
  MOD,          
  PMOD,         
  PYMOD,        
  POW,          
  INT_POW,      
  LOG_BASE,     
  ATAN2,        
  SHIFT_LEFT,   
  SHIFT_RIGHT,  
  SHIFT_RIGHT_UNSIGNED,  
  BITWISE_AND,           
  BITWISE_OR,            
  BITWISE_XOR,           
  LOGICAL_AND,           
  LOGICAL_OR,            
  EQUAL,                 
  NOT_EQUAL,             
  LESS,                  
  GREATER,               
  LESS_EQUAL,            
  GREATER_EQUAL,         
  NULL_EQUALS,           
  NULL_MAX,              
  NULL_MIN,              
  GENERIC_BINARY,        
  NULL_LOGICAL_AND,  
  NULL_LOGICAL_OR,   
  INVALID_BINARY     
};
std::unique_ptr<column> binary_operation(
  scalar const& lhs,
  column_view const& rhs,
  binary_operator op,
  data_type output_type,
  rmm::cuda_stream_view stream        = cudf::get_default_stream(),
  rmm::mr::device_memory_resource* mr = rmm::mr::get_current_device_resource());
 
std::unique_ptr<column> binary_operation(
  column_view const& lhs,
  scalar const& rhs,
  binary_operator op,
  data_type output_type,
  rmm::cuda_stream_view stream        = cudf::get_default_stream(),
  rmm::mr::device_memory_resource* mr = rmm::mr::get_current_device_resource());
 
std::unique_ptr<column> binary_operation(
  column_view const& lhs,
  column_view const& rhs,
  binary_operator op,
  data_type output_type,
  rmm::cuda_stream_view stream        = cudf::get_default_stream(),
  rmm::mr::device_memory_resource* mr = rmm::mr::get_current_device_resource());
 
std::unique_ptr<column> binary_operation(
  column_view const& lhs,
  column_view const& rhs,
  std::string const& ptx,
  data_type output_type,
  rmm::cuda_stream_view stream        = cudf::get_default_stream(),
  rmm::mr::device_memory_resource* mr = rmm::mr::get_current_device_resource());
 
int32_t binary_operation_fixed_point_scale(binary_operator op,
                                           int32_t left_scale,
                                           int32_t right_scale);
 
cudf::data_type binary_operation_fixed_point_output_type(binary_operator op,
                                                         cudf::data_type const& lhs,
                                                         cudf::data_type const& rhs);
 
namespace binops {
 
std::pair<rmm::device_buffer, size_type> scalar_col_valid_mask_and(
  column_view const& col,
  scalar const& s,
  rmm::cuda_stream_view stream        = cudf::get_default_stream(),
  rmm::mr::device_memory_resource* mr = rmm::mr::get_current_device_resource());
 
namespace compiled {
namespace detail {
 
void apply_sorting_struct_binary_op(mutable_column_view& out,
                                    column_view const& lhs,
                                    column_view const& rhs,
                                    bool is_lhs_scalar,
                                    bool is_rhs_scalar,
                                    binary_operator op,
                                    rmm::cuda_stream_view stream);
}  // namespace detail
}  // namespace compiled
}  // namespace binops
  // end of group
}  // namespace cudf