/*
 *  ******************************************************************************
 *  *
 *  *
 *  * 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.
 *  *
 *  *  See the NOTICE file distributed with this work for additional
 *  *  information regarding copyright ownership.
 *  * 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
 *  *****************************************************************************
 */

package org.nd4j.presets.cuda;

import java.util.List;
import org.bytedeco.javacpp.ClassProperties;
import org.bytedeco.javacpp.LoadEnabled;
import org.bytedeco.javacpp.Loader;
import org.bytedeco.javacpp.annotation.Platform;
import org.bytedeco.javacpp.annotation.Properties;
import org.bytedeco.javacpp.tools.*;
import org.nd4j.presets.OpExclusionUtils;

/**
 *
 * @author saudet
 */
@Properties(target = "org.nd4j.linalg.jcublas.bindings.Nd4jCuda", helper = "org.nd4j.presets.cuda.Nd4jCudaHelper",
        value = {@Platform(define = {"SD_ALL_OPS","SD_CUDA"}, include = {
                //note, order matters here
                //this particular header file is either
                //going to be the source of ops, see also:
                //https://github.com/eclipse/deeplearning4j/blob/master/libnd4j/blas/CMakeLists.txt#L76
                //https://github.com/eclipse/deeplearning4j/blob/master/libnd4j/buildnativeoperations.sh#L517
                "generated/include_ops.h",
                "array/DataType.h",
                "array/DataBuffer.h",
                "array/PointerDeallocator.h",
                "array/PointerWrapper.h",
                "array/ConstantDescriptor.h",
                "array/ConstantDataBuffer.h",
                "array/ConstantShapeBuffer.h",
                "array/ConstantOffsetsBuffer.h",
                "array/TadPack.h",
                "execution/ErrorReference.h",
                "execution/Engine.h",
                "execution/ExecutionMode.h",
                "memory/MemoryType.h",
                "system/Environment.h",
                "types/utf8string.h",
                "legacy/NativeOps.h",
                "memory/ExternalWorkspace.h",
                "memory/Workspace.h",
                "indexing/NDIndex.h",
                "indexing/IndicesList.h",
                "array/DataType.h",
                "graph/VariableType.h",
                "graph/ArgumentsList.h",
                "types/pair.h",
                "types/pair.h",
                "array/NDArray.h",
                "array/NDArrayList.h",
                "array/ResultSet.h",
                "graph/RandomGenerator.h",
                "graph/Variable.h",
                "graph/VariablesSet.h",
                "graph/FlowPath.h",
                "graph/Intervals.h",
                "graph/Stash.h",
                "graph/GraphState.h",
                "graph/VariableSpace.h",
                "helpers/helper_generator.h",
                "graph/profiling/GraphProfile.h",
                "graph/profiling/NodeProfile.h",
                "graph/Context.h",
                "graph/ContextPrototype.h",
                "graph/ResultWrapper.h",
                "helpers/shape.h",
                "array/ShapeList.h",
                "system/op_boilerplate.h",
                "ops/InputType.h",
                "ops/declarable/OpDescriptor.h",
                "ops/declarable/PlatformHelper.h",
                "ops/declarable/BroadcastableOp.h",
                "ops/declarable/BroadcastableBoolOp.h",
                "helpers/OpArgsHolder.h",
                "ops/declarable/DeclarableOp.h",
                "ops/declarable/DeclarableListOp.h",
                "ops/declarable/DeclarableReductionOp.h",
                "ops/declarable/DeclarableCustomOp.h",
                "ops/declarable/BooleanOp.h",
                "ops/declarable/LogicOp.h",
                "ops/declarable/OpRegistrator.h",
                "execution/ContextBuffers.h",
                "execution/LaunchContext.h",
                "array/ShapeDescriptor.h",
                "array/TadDescriptor.h",
                "array/TadPack.h",
                "helpers/DebugInfo.h",
                "ops/declarable/CustomOperations.h",
                "build_info.h",
        },
                exclude = {"ops/declarable/headers/activations.h",
                        "ops/declarable/headers/boolean.h",
                        "ops/declarable/headers/broadcastable.h",
                        "ops/declarable/headers/convo.h",
                        "ops/declarable/headers/list.h",
                        "ops/declarable/headers/recurrent.h",
                        "ops/declarable/headers/transforms.h",
                        "ops/declarable/headers/parity_ops.h",
                        "ops/declarable/headers/shape.h",
                        "ops/declarable/headers/random.h",
                        "ops/declarable/headers/nn.h",
                        "ops/declarable/headers/blas.h",
                        "ops/declarable/headers/bitwise.h",
                        "ops/declarable/headers/tests.h",
                        "ops/declarable/headers/loss.h",
                        "ops/declarable/headers/datatypes.h",
                        "ops/declarable/headers/third_party.h",
                        "cnpy/cnpy.h"
                },
                compiler = {"cpp11", "nowarnings"},
                library = "jnind4jcuda", link = "nd4jcuda", preload = "libnd4jcuda"),
                @Platform(value = "linux", preload = "gomp@.1", preloadpath = {"/lib64/", "/lib/", "/usr/lib64/", "/usr/lib/"}),
                @Platform(value = "linux-armhf", preloadpath = {"/usr/arm-linux-gnueabihf/lib/", "/usr/lib/arm-linux-gnueabihf/"}),
                @Platform(value = "linux-arm64", preloadpath = {"/usr/aarch64-linux-gnu/lib/", "/usr/lib/aarch64-linux-gnu/"}),
                @Platform(value = "linux-ppc64", preloadpath = {"/usr/powerpc64-linux-gnu/lib/", "/usr/powerpc64le-linux-gnu/lib/", "/usr/lib/powerpc64-linux-gnu/", "/usr/lib/powerpc64le-linux-gnu/"}),
                @Platform(value = "windows", preload = {"libwinpthread-1", "libgcc_s_seh-1", "libgomp-1", "libstdc++-6", "libnd4jcpu"}),
                @Platform(extension = {"-cudnn","-"})})
public class Nd4jCudaPresets implements LoadEnabled, BuildEnabled,InfoMapper {
    private Logger logger;
    private java.util.Properties properties;
    private String encoding;


    @Override
    public void init(Logger logger, java.util.Properties properties, String encoding) {
        this.logger = logger;
        this.properties = properties;
        this.encoding = encoding;
    }

    @Override public void init(ClassProperties properties) {
        String platform = properties.getProperty("platform");
        List<String> preloads = properties.get("platform.preload");
        List<String> resources = properties.get("platform.preloadresource");
        boolean funcTrace = System.getProperty("libnd4j.calltrace","OFF").equalsIgnoreCase("ON");
        System.out.println("Functrace on: " + funcTrace);
        // Only apply this at load time since we don't want to copy the CUDA libraries here
        if (!Loader.isLoadLibraries()) {
            return;
        }
        int i = 0;
        String[] libs = {"cudart", "cublasLt", "cublas", "curand", "cusolver", "cusparse", "cudnn",
                "cudnn_ops_infer", "cudnn_ops_train", "cudnn_adv_infer",
                "cudnn_adv_train", "cudnn_cnn_infer", "cudnn_cnn_train"};
        for (String lib : libs) {
            if (platform.startsWith("linux")) {
                lib += lib.startsWith("cudnn") ? "@.8" : lib.equals("curand") ? "@.10" : lib.equals("cudart") ? "@.11.0" : "@.11";
            } else if (platform.startsWith("windows")) {
                lib += lib.startsWith("cudnn") ? "64_8" : lib.equals("curand") ? "64_10" : lib.equals("cudart") ? "64_110" : "64_11";
            } else {
                continue; // no CUDA
            }
            if (!preloads.contains(lib)) {
                preloads.add(i++, lib);
            }
        }
        if (i > 0) {
            resources.add("/org/bytedeco/cuda/");
        }
    }

    @Override
    public void map(InfoMap infoMap) {
        //whether to include the SD_GCC_FUNCTRACE definition in the build. Not needed if we're not enabling the profiler.
        boolean funcTrace = System.getProperty("libnd4j.calltrace","OFF").equalsIgnoreCase("ON");
        System.out.println("Functrace on: " + funcTrace);
        infoMap.put(new Info("thread_local", "SD_LIB_EXPORT", "SD_INLINE", "CUBLASWINAPI",
                        "SD_HOST", "SD_DEVICE", "SD_KERNEL", "SD_HOST_DEVICE", "SD_ALL_OPS", "NOT_EXCLUDED").cppTypes().annotations())
                .put(new Info("NativeOps.h", "build_info.h").objectify())
                .put(new Info("OpaqueTadPack").pointerTypes("org.nd4j.nativeblas.OpaqueTadPack"))
                .put(new Info("OpaqueResultWrapper").pointerTypes("org.nd4j.nativeblas.OpaqueResultWrapper"))
                .put(new Info("OpaqueShapeList").pointerTypes("org.nd4j.nativeblas.OpaqueShapeList"))
                .put(new Info("OpaqueVariablesSet").pointerTypes("org.nd4j.nativeblas.OpaqueVariablesSet"))
                .put(new Info("OpaqueVariable").pointerTypes("org.nd4j.nativeblas.OpaqueVariable"))
                .put(new Info("OpaqueConstantDataBuffer").pointerTypes("org.nd4j.nativeblas.OpaqueConstantDataBuffer"))
                .put(new Info("OpaqueConstantShapeBuffer").pointerTypes("org.nd4j.nativeblas.OpaqueConstantShapeBuffer"))
                .put(new Info("OpaqueConstantOffsetsBuffer").pointerTypes("org.nd4j.nativeblas.OpaqueConstantOffsetsBuffer"))
                .put(new Info("OpaqueContext").pointerTypes("org.nd4j.nativeblas.OpaqueContext"))
                .put(new Info("OpaqueRandomGenerator").pointerTypes("org.nd4j.nativeblas.OpaqueRandomGenerator"))
                .put(new Info("OpaqueLaunchContext").pointerTypes("org.nd4j.nativeblas.OpaqueLaunchContext"))
                .put(new Info("OpaqueDataBuffer").pointerTypes("org.nd4j.nativeblas.OpaqueDataBuffer"))
                .put (new Info("std::vector<std::string>","std::vector<std::string>*").cast().pointerTypes("PointerPointer"))

                .put(new Info("const char").valueTypes("byte").pointerTypes("@Cast(\"char*\") String",
                        "@Cast(\"char*\") BytePointer"))
                .put(new Info("char").valueTypes("char").pointerTypes("@Cast(\"char*\") BytePointer",
                        "@Cast(\"char*\") String"))
                .put(new Info("sd::Pointer").cast().valueTypes("Pointer").pointerTypes("PointerPointer"))
                .put(new Info("sd::LongType").cast().valueTypes("long").pointerTypes("LongPointer", "LongBuffer",
                        "long[]"))
                .put(new Info("sd::Status").cast().valueTypes("int").pointerTypes("IntPointer", "IntBuffer",
                        "int[]"))
                .put(new Info("sd::Unsigned").cast()
                        .valueTypes("int").pointerTypes("IntPointer", "IntBuffer", "int[]"))
                .put(new Info("float16").cast().valueTypes("short").pointerTypes("ShortPointer", "ShortBuffer",
                        "short[]"))
                .put(new Info("bfloat16").cast().valueTypes("short").pointerTypes("ShortPointer", "ShortBuffer",
                        "short[]"));


        infoMap.put(funcTrace ? new Info("__CUDACC__", "MAX_UINT", "HAVE_MKLDNN", "__NEC__" ).define(false)
                        :  new Info("__CUDACC__", "MAX_UINT", "HAVE_MKLDNN", "__NEC__","SD_GCC_FUNCTRACE" ).define(false))
                .put(funcTrace ? new Info("__JAVACPP_HACK__", "SD_ALL_OPS","__CUDABLAS__","SD_CUDA","SD_GCC_FUNCTRACE").define(true) :
                        new Info("__JAVACPP_HACK__", "SD_ALL_OPS","__CUDABLAS__","SD_CUDA").define(true))
                .put(funcTrace ? new Info("std::initializer_list", "cnpy::NpyArray", "sd::NDArray::applyLambda", "sd::NDArray::applyPairwiseLambda",
                        "sd::graph::FlatResult",
                        "throwException",
                        "sd::graph::FlatVariable", "sd::NDArray::subarray", "std::shared_ptr", "sd::PointerWrapper",
                        "sd::PointerDeallocator").skip()
                        : new Info("std::initializer_list", "cnpy::NpyArray", "sd::NDArray::applyLambda", "sd::NDArray::applyPairwiseLambda",
                        "sd::graph::FlatResult",
                        "closeInstrumentOut",
                        "setInstrumentOut",
                        "instrumentFile",
                        "sd::graph::FlatVariable", "sd::NDArray::subarray", "std::shared_ptr", "sd::PointerWrapper",
                        "sd::PointerDeallocator").skip())
                .put(new Info("std::string").annotations("@StdString").valueTypes("BytePointer", "String")
                        .pointerTypes("@Cast({\"char*\", \"std::string*\"}) BytePointer"))
                .put(new Info("std::pair<int,int>").pointerTypes("IntIntPair").define())
                .put(new Info("std::vector<std::vector<int> >").pointerTypes("IntVectorVector").define())
                .put(new Info("std::vector<std::vector<sd::LongType> >").pointerTypes("LongVectorVector").define())
                .put(new Info("std::vector<sd::NDArray*>").pointerTypes("NDArrayVector").define())
                .put(new Info("std::vector<const sd::NDArray*>").pointerTypes("ConstNDArrayVector").define())
                .put(new Info("bool").cast().valueTypes("boolean").pointerTypes("BooleanPointer", "boolean[]"))
                .put(new Info("sd::graph::ResultWrapper").base("org.nd4j.nativeblas.ResultWrapperAbstraction").define())
                .put(new Info("sd::IndicesList").purify());

        OpExclusionUtils.processOps(logger, properties, infoMap);
        infoMap.put(new Info("sd::ops::OpRegistrator::updateMSVC").skip());
        //skip in case header definition not working
        infoMap.put(new Info("calculateOutputShapesNec").skip());

    }


}
