* RL4J: Add generic update rule (#502) Signed-off-by: Alexandre Boulanger <aboulang2002@yahoo.com> * Shyrma reduce (#481) * - start working on improving of cpu legacy code for reduce ops Signed-off-by: Yurii <iuriish@yahoo.com> * - further work on improving legacy loops Signed-off-by: Yurii <iuriish@yahoo.com> * - still working on improving reduce ops Signed-off-by: Yurii <iuriish@yahoo.com> * - further work on improving reduce ops Signed-off-by: Yurii <iuriish@yahoo.com> * - testing speed run of new reduce op Signed-off-by: Yurii <iuriish@yahoo.com> * - working on improvement of default loop for reduce op Signed-off-by: Yurii <iuriish@yahoo.com> * - update signatures of stuff which calls reduce ops Signed-off-by: Yurii <iuriish@yahoo.com> * - make corrections in cuda reduce kernels Signed-off-by: Yurii <iuriish@yahoo.com> * - change loop for default case in broadcast legacy ops Signed-off-by: Yurii <iuriish@yahoo.com> * - comment some shape stuff Signed-off-by: Yurii <iuriish@yahoo.com> * - comment unnecessary prints in RNGtests Signed-off-by: Yurii <iuriish@yahoo.com> * - finish to resolve conflicts after master has been merged Signed-off-by: Yurii <iuriish@yahoo.com> * - get rid of some compilation mistakes of cuda stuff Signed-off-by: Yurii <iuriish@yahoo.com> * - minor changes Signed-off-by: Yurii <iuriish@yahoo.com> * - further search for bug causing crash on java test Signed-off-by: Yurii <iuriish@yahoo.com> * - add scalar case in reduce_ ... exec stuff Signed-off-by: Yurii <iuriish@yahoo.com> * - minor corrections in NAtiveOps.cu Signed-off-by: Yurii <iuriish@yahoo.com> * - add switch to scalar case execReduceXD functions Signed-off-by: Yurii <iuriish@yahoo.com> * - add support for vectors old shape in ConstantShapeHelper::createShapeInfoWithNoUnitiesForReduce Signed-off-by: Yurii <iuriish@yahoo.com> * - correct cuda mirrorPad Signed-off-by: Yurii <iuriish@yahoo.com> * - add support for vectors old shape in cuda createShapeInfoWithNoUnitiesForReduce Signed-off-by: Yurii <iuriish@yahoo.com> Co-authored-by: raver119 <raver119@gmail.com> * Add support for CUDA 11.0 (#492) * Add support for CUDA 11.0 * libnd4j tweaks for CUDA 11 Signed-off-by: raver119@gmail.com <raver119@gmail.com> * bindings update, again? Signed-off-by: raver119@gmail.com <raver119@gmail.com> * * Update versions of JavaCPP Presets for FFmpeg, OpenBLAS, and NumPy * update API to match CUDA 8 Signed-off-by: raver119@gmail.com <raver119@gmail.com> * * Update version of JavaCPP Presets for CPython * C++ updated for cuDNN 8.0 Signed-off-by: raver119@gmail.com <raver119@gmail.com> * one more test Signed-off-by: raver119@gmail.com <raver119@gmail.com> * one more test Signed-off-by: raver119@gmail.com <raver119@gmail.com> * one more test Signed-off-by: raver119@gmail.com <raver119@gmail.com> * 128-bit alignment for workspaces Signed-off-by: raver119@gmail.com <raver119@gmail.com> * change seed in 1 test Signed-off-by: raver119@gmail.com <raver119@gmail.com> * Fix dependecy duplication in python4j-parent pom * Fix group id for in python4j-numpy * few tests tweaked Signed-off-by: raver119@gmail.com <raver119@gmail.com> * Remove macosx-x86_64-gpu from nd4j-tests-tensorflow * few minor tweaks for IndexReduce Signed-off-by: raver119@gmail.com <raver119@gmail.com> * one test removed Signed-off-by: raver119@gmail.com <raver119@gmail.com> Co-authored-by: raver119@gmail.com <raver119@gmail.com> Co-authored-by: Serhii Shepel <9946053+sshepel@users.noreply.github.com> * RL4J: Add SyncTrainer and AgentLearnerBuilder for a few algorithms (#504) Signed-off-by: Alexandre Boulanger <aboulang2002@yahoo.com> Co-authored-by: Alexandre Boulanger <44292157+aboulang2002@users.noreply.github.com> Co-authored-by: Yurii Shyrma <iuriish@yahoo.com> Co-authored-by: raver119 <raver119@gmail.com> Co-authored-by: Serhii Shepel <9946053+sshepel@users.noreply.github.com>
		
			
				
	
	
		
			48 lines
		
	
	
		
			1.9 KiB
		
	
	
	
		
			C++
		
	
	
	
	
	
			
		
		
	
	
			48 lines
		
	
	
		
			1.9 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
 | 
						|
//
 | 
						|
 | 
						|
#include "ReductionLoops.hpp"
 | 
						|
 | 
						|
using namespace simdOps;
 | 
						|
 | 
						|
namespace sd {
 | 
						|
 | 
						|
    template<typename X, typename Z>
 | 
						|
    template <typename OpType>
 | 
						|
    void ReductionBoolLoops<X, Z>::innerloopReduce(sd::memory::Workspace* workspace, const X* x, const Nd4jLong* xShapeInfo, Z* z, const Nd4jLong* zShapeInfo, const int* dims, X* extraParams) {
 | 
						|
#ifndef INLINE_LOOPS
 | 
						|
        ReductionLoops<X,Z,X>::template loopReduce<OpType>(workspace, x, xShapeInfo, z, zShapeInfo, dims, extraParams);
 | 
						|
#endif
 | 
						|
    }
 | 
						|
 | 
						|
    template<typename X, typename Y>
 | 
						|
    void ReductionBoolLoops<X, Y>::wrapper(const int opNum, sd::memory::Workspace* workspace,
 | 
						|
                                           const X *x, const Nd4jLong *xShapeInfo,
 | 
						|
                                           Y *z, const Nd4jLong *zShapeInfo,
 | 
						|
                                           const int *dims, X *extraParams) {
 | 
						|
#ifndef INLINE_LOOPS
 | 
						|
        DISPATCH_BY_OPNUM_TT(innerloopReduce, PARAMS(workspace, x, xShapeInfo, z, zShapeInfo, dims, extraParams), REDUCE_BOOL_OPS);
 | 
						|
#endif
 | 
						|
    }
 | 
						|
 | 
						|
    BUILD_DOUBLE_TEMPLATE(template class ND4J_EXPORT ReductionBoolLoops, , LIBND4J_TYPES, BOOL_TYPES);
 | 
						|
}
 | 
						|
 |