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/*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* "License"); you may not use this file except in compliance
* with the License. You may obtain a copy of the License at
*
* http://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.
*/
package org.apache.sysds.lops;
import org.apache.sysds.lops.LopProperties.ExecType;
import org.apache.sysds.runtime.instructions.InstructionUtils;
import org.apache.sysds.common.Types.DataType;
import org.apache.sysds.common.Types.ValueType;
public class MatMultCP extends Lop {
private int numThreads = -1;
private boolean isLeftTransposed; // Used for GPU matmult operation
private boolean isRightTransposed;
private boolean useTranspose;
public MatMultCP(Lop input1, Lop input2, DataType dt, ValueType vt, ExecType et) {
this(input1, input2, dt, vt, et, 1);
}
public MatMultCP(Lop input1, Lop input2, DataType dt, ValueType vt, ExecType et, int k) {
super(Lop.Type.MatMultCP, dt, vt);
init(input1, input2, dt, vt, et);
numThreads = k;
}
public MatMultCP(Lop input1, Lop input2, DataType dt, ValueType vt, ExecType et, boolean isLeftTransposed,
boolean isRightTransposed) {
super(Lop.Type.Binary, dt, vt);
init(input1, input2, dt, vt, et);
this.isLeftTransposed = isLeftTransposed;
this.isRightTransposed = isRightTransposed;
this.useTranspose = true;
}
public MatMultCP(Lop input1, Lop input2, DataType dt, ValueType vt, ExecType et, int k, boolean isLeftTransposed,
boolean isRightTransposed) {
this(input1, input2, dt, vt, et, k);
this.isLeftTransposed = isLeftTransposed;
this.isRightTransposed = isRightTransposed;
this.useTranspose = true;
}
private void init(Lop input1, Lop input2, DataType dt, ValueType vt, ExecType et) {
addInput(input1);
addInput(input2);
input1.addOutput(this);
input2.addOutput(this);
lps.setProperties(inputs, et);
}
@Override
public String toString() {
return " Operation: ba+*";
}
@Override
public String getInstructions(String input1, String input2, String output) {
if(!useTranspose) {
return InstructionUtils.concatOperands(getExecType().name(),
"ba+*",
getInputs().get(0).prepInputOperand(input1),
getInputs().get(1).prepInputOperand(input2),
prepOutputOperand(output),
String.valueOf(numThreads));
}
else { // GPU or compressed
return InstructionUtils.concatOperands(getExecType().name(),
"ba+*",
getInputs().get(0).prepInputOperand(input1),
getInputs().get(1).prepInputOperand(input2),
prepOutputOperand(output),
String.valueOf(numThreads),
String.valueOf(isLeftTransposed),
String.valueOf(isRightTransposed));
}
}
}