cavis/libnd4j/include/ops/declarable/headers/boolean.h

156 lines
4.7 KiB
C++

/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://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.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
//
// @author raver119@gmail.com
//
#ifndef LIBND4J_HEADERS_BOOLEAN_H
#define LIBND4J_HEADERS_BOOLEAN_H
#include <ops/declarable/headers/common.h>
namespace nd4j {
namespace ops {
/**
* This is scalar boolean op.
* Both operands should be scalars.
*
* Returns true if x < y
*/
#if NOT_EXCLUDED(OP_lt_scalar)
DECLARE_BOOLEAN_OP(lt_scalar, 2, true);
#endif
/**
* This is scalar boolean op.
* Both operands should be scalars.
*
* Returns true if x > y
*/
#if NOT_EXCLUDED(OP_gt_scalar)
DECLARE_BOOLEAN_OP(gt_scalar, 2, true);
#endif
/**
* This is scalar boolean op.
* Both operands should be scalars.
*
* Returns true if x <= y
*/
#if NOT_EXCLUDED(OP_lte_scalar)
DECLARE_BOOLEAN_OP(lte_scalar, 2, true);
#endif
/**
* This is scalar boolean op.
* Both operands should be scalars.
*
* Returns true if x >= y
*/
#if NOT_EXCLUDED(OP_gte_scalar)
DECLARE_BOOLEAN_OP(gte_scalar, 2, true);
#endif
/**
* This is scalar boolean op.
* Both operands should be scalars.
*
* Returns true if both operands are equal.
*/
#if NOT_EXCLUDED(OP_eq_scalar)
DECLARE_BOOLEAN_OP(eq_scalar, 2, true);
#endif
/**
* This is scalar boolean op.
* Both operands should be scalars.
*
* Returns true if x != y
*/
#if NOT_EXCLUDED(OP_neq_scalar)
DECLARE_BOOLEAN_OP(neq_scalar, 2, true);
#endif
/**
* This op takes 2 n-dimensional arrays as input, and return
* array of the same shape, with elements, either from x or y, depending on the condition.
*/
#if NOT_EXCLUDED(OP_where)
DECLARE_CUSTOM_OP(Where, 1, 1, false, 0, 0);
#endif
#if NOT_EXCLUDED(OP_where_np)
DECLARE_CUSTOM_OP(where_np, 1, 1, false, 0, 0);
#endif
/**
* This op takes 2 n-dimensional arrays as input, and return
* array of the same shape, with elements, either from x or y, depending on the condition.
*/
#if NOT_EXCLUDED(OP_select)
DECLARE_CUSTOM_OP(select, 3, 1, false, 0, 0);
#endif
/**
* This op takes either 1 argument and 1 scalar
* or 1 argument and another comparison array
* and runs a pre defined conditional op.
*
* The output of the op is dynamic in size and returns a flat vector of elements
* that return true on the given condition.
* In numpy parlance, most people might understand:
* a[a > 2]
* where a is a numpy array and the condition is true when an element is
* > 2. Libnd4j already implements a number of pre defined conditions.
* @tparam T
*/
#if NOT_EXCLUDED(OP_choose)
DECLARE_CUSTOM_OP(choose, -1, 1, false, -1, -1);
#endif
/**
* This op takes 1 n-dimensional array as input, and returns true if for every adjacent pair we have x[i] <= x[i+1].
*/
#if NOT_EXCLUDED(OP_is_non_decreasing)
DECLARE_BOOLEAN_OP(is_non_decreasing, 1, true);
#endif
/**
* This op takes 1 n-dimensional array as input, and returns true if for every adjacent pair we have x[i] < x[i+1].
*/
#if NOT_EXCLUDED(OP_is_strictly_increasing)
DECLARE_BOOLEAN_OP(is_strictly_increasing, 1, true);
#endif
/**
* This op takes 1 n-dimensional array as input, and returns true if input is a numeric array.
*/
#if NOT_EXCLUDED(OP_is_numeric_tensor)
DECLARE_BOOLEAN_OP(is_numeric_tensor, 1, true);
#endif
/**
*
*/
#if NOT_EXCLUDED(OP_boolean_not)
DECLARE_OP(boolean_not, 1, 1, true);
#endif
}
}
#endif