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

/*******************************************************************************
 * 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 sd {
    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, -2, -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