/*
 *  ******************************************************************************
 *  *
 *  *
 *  * 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.deeplearning4j.nn.workspace;

import org.nd4j.shade.guava.base.Preconditions;
import lombok.Getter;
import lombok.NonNull;
import lombok.Setter;
import org.bytedeco.javacpp.Pointer;
import org.nd4j.linalg.api.memory.conf.WorkspaceConfiguration;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.workspace.BaseWorkspaceMgr;
import org.nd4j.linalg.workspace.WorkspaceMgr;

import java.util.*;

public class LayerWorkspaceMgr extends BaseWorkspaceMgr<ArrayType> {
    public static String CUDNN_WORKSPACE_KEY = "CUDNN_WORKSPACE";

    private static LayerWorkspaceMgr NO_WS_IMMUTABLE;
    static{
        Set<ArrayType> all = new HashSet<>();
        Collections.addAll(all, ArrayType.values());
        NO_WS_IMMUTABLE = new LayerWorkspaceMgr(
                all, Collections.<ArrayType, WorkspaceConfiguration>emptyMap(), Collections.<ArrayType, String>emptyMap());
    }

    protected Set<String> noLeverageOverride;

    @Setter @Getter
    protected Map<String,Pointer> helperWorkspacePointers;

    private LayerWorkspaceMgr(){

    }

    public LayerWorkspaceMgr(Set<ArrayType> scopeOutOfWs, Map<ArrayType, WorkspaceConfiguration> configMap,
                             Map<ArrayType, String> workspaceNames){
        super(scopeOutOfWs, configMap, workspaceNames);
        if(configMap != null){
            Preconditions.checkArgument(configMap.keySet().equals(workspaceNames.keySet()),
                    "Keys for config may and workspace names must match");
        }
    }

    public void setNoLeverageOverride(String wsName){
        if(noLeverageOverride == null){
            noLeverageOverride = new HashSet<>();
        }
        noLeverageOverride.add(wsName);
    }

    @Override
    public INDArray leverageTo(ArrayType arrayType, INDArray array){
        if(noLeverageOverride != null && array.isAttached() && noLeverageOverride.contains(array.data().getParentWorkspace().getId())){
            return array;
        }
        return super.leverageTo(arrayType, array);
    }

    @Override
    public INDArray validateArrayLocation(@NonNull ArrayType arrayType, @NonNull INDArray array, boolean migrateIfInvalid, boolean exceptionIfDetached) {
        if(noLeverageOverride != null && array.isAttached() && noLeverageOverride.contains(array.data().getParentWorkspace().getId())){
            return array;   //OK - leverage override
        }
        return super.validateArrayLocation(arrayType, array, migrateIfInvalid, exceptionIfDetached);
    }

    /**
     * Get the pointer to the helper memory. Usually used for CUDNN workspace memory sharing.
     * NOTE: Don't use this method unless you are fully aware of how it is used to manage CuDNN memory!
     * Will (by design) throw a NPE if the underlying map (set from MultiLayerNetwork or ComputationGraph) is not set.
     *
     * @param key Key for the helper workspace pointer
     * @param <T> Pointer type
     * @return Pointer for that key, or null if none exists
     */
    public <T extends Pointer> T getHelperWorkspace(String key){
        return helperWorkspacePointers == null ? null : (T)helperWorkspacePointers.get(key);
    }

    /**
     * Set the pointer to the helper memory. Usually used for CuDNN workspace memory sharing.
     * NOTE: Don't use this method unless you are fully aware of how it is used to manage CuDNN memory!
     * Will (by design) throw a NPE if the underlying map (set from MultiLayerNetwork or ComputationGraph) is not set.
     *
     * @param key   Key for the helper workspace pointer
     * @param value Pointer
     */
    public void setHelperWorkspace(@NonNull String key, Pointer value){
        if(helperWorkspacePointers == null){
            helperWorkspacePointers = new HashMap<>();
        }
        helperWorkspacePointers.put(key, value);
    }

    public static Builder builder(){
        return new Builder();
    }

    /**
     * @param helperWorkspacePointers Helper pointers - see {@link #getHelperWorkspace(String)} for details
     * @return Workspace manager
     */
    public static LayerWorkspaceMgr noWorkspaces(Map<String,Pointer> helperWorkspacePointers){
        LayerWorkspaceMgr wsm = noWorkspaces();
        wsm.setHelperWorkspacePointers(helperWorkspacePointers);
        return wsm;
    }

    public static LayerWorkspaceMgr noWorkspaces(){
        return builder().defaultNoWorkspace().build();
    }

    public static LayerWorkspaceMgr noWorkspacesImmutable(){
        return NO_WS_IMMUTABLE;
    }

    public static class Builder {

        private LayerWorkspaceMgr mgr;

        public Builder(){
            mgr = new LayerWorkspaceMgr();
        }

        /**
         * Set the default to be scoped out for all array types.
         * NOTE: Will not override the configuration for any array types that have already been configured
         * @return Builder
         */
        public Builder defaultNoWorkspace(){
            for(ArrayType t : ArrayType.values()){
                if(!mgr.configMap.containsKey(t)){
                    mgr.setScopedOutFor(t);
                }
            }
            return this;
        }

        /**
         * Specify that no workspace should be used for array of the specified type - i.e., these arrays should all
         * be scoped out.
         *
         * @param type Array type to set scoped out for
         * @return Builder
         */
        public Builder noWorkspaceFor(ArrayType type){
            mgr.setScopedOutFor(type);
            return this;
        }

        /**
         * Set the default workspace for all array types to the specified workspace name/configuration
         * NOTE: This will NOT override any settings previously set.
         *
         * @param workspaceName Name of the workspace to use for all (not set) arrray types
         * @param configuration Configuration to use for all (not set) arrray types
         * @return Builder
         */
        public Builder defaultWorkspace(String workspaceName, WorkspaceConfiguration configuration){
            for(ArrayType t : ArrayType.values()){
                if(!mgr.configMap.containsKey(t) && !mgr.isScopedOut(t)){
                    with(t, workspaceName, configuration);
                }
            }
            return this;
        }

        /**
         * Configure the workspace (name, configuration) for the specified array type
         *
         * @param type          Array type
         * @param workspaceName Workspace name for the specified array type
         * @param configuration Configuration for the specified array type
         * @return Builder
         */
        public Builder with(ArrayType type, String workspaceName, WorkspaceConfiguration configuration){
            mgr.setConfiguration(type, configuration);
            mgr.setWorkspaceName(type, workspaceName);
            return this;
        }

        public LayerWorkspaceMgr build(){
            return mgr;
        }

    }
    
}
