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// Copyright Vespa.ai. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
package com.yahoo.tensor.functions;
import com.yahoo.tensor.Tensor;
import com.yahoo.tensor.TensorType;
import org.junit.Test;
import java.util.List;
import static org.junit.Assert.assertEquals;
/**
* @author bratseth
*/
public class MatmulTestCase {
@Test
public void testMatmul2d() {
// d0 is the 'outermost' dimension, etc.
Tensor.Builder ab = Tensor.Builder.of(TensorType.fromSpec("tensor(d0[2],d1[3])"));
ab.cell( 1,0, 0);
ab.cell( 2,0, 1);
ab.cell( 3,0, 2);
ab.cell( 4,1, 0);
ab.cell( 5,1, 1);
ab.cell( 6,1, 2);
Tensor a = ab.build();
Tensor.Builder bb = Tensor.Builder.of(TensorType.fromSpec("tensor(d0[3],d1[2])"));
bb.cell( 7,0, 0);
bb.cell( 8,0, 1);
bb.cell( 9,1, 0);
bb.cell(10,1, 1);
bb.cell(11,2, 0);
bb.cell(12,2, 1);
Tensor b = bb.build();
Tensor.Builder rb = Tensor.Builder.of(TensorType.fromSpec("tensor(d0[2],d1[2])"));
rb.cell( 58,0, 0);
rb.cell( 64,0, 1);
rb.cell(139,1, 0);
rb.cell(154,1, 1);
Tensor r = rb.build();
Tensor result = a.matmul(b.rename(List.of("d0","d1"), List.of("d1","d2")), "d1")
.rename("d2","d1");
assertEquals(r, result);
}
@Test
public void testMatmul3d() {
// Convention: a is the 'outermost' dimension, etc.
Tensor.Builder ab = Tensor.Builder.of(TensorType.fromSpec("tensor(d0[2],d1[2],d2[3])"));
ab.cell( 1,0, 0, 0);
ab.cell( 2,0, 0, 1);
ab.cell( 3,0, 0, 2);
ab.cell( 4,0, 1, 0);
ab.cell( 5,0, 1, 1);
ab.cell( 6,0, 1, 2);
ab.cell( 7,1, 0, 0);
ab.cell( 8,1, 0, 1);
ab.cell( 9,1, 0, 2);
ab.cell(10,1, 1, 0);
ab.cell(11,1, 1, 1);
ab.cell(12,1, 1, 2);
Tensor a = ab.build();
Tensor.Builder bb = Tensor.Builder.of(TensorType.fromSpec("tensor(d0[2],d1[3],d2[2])"));
bb.cell(13,0, 0, 0);
bb.cell(14,0, 0, 1);
bb.cell(15,0, 1, 0);
bb.cell(16,0, 1, 1);
bb.cell(17,0, 2, 0);
bb.cell(18,0, 2, 1);
bb.cell(19,1, 0, 0);
bb.cell(20,1, 0, 1);
bb.cell(21,1, 1, 0);
bb.cell(22,1, 1, 1);
bb.cell(23,1, 2, 0);
bb.cell(24,1, 2, 1);
Tensor b = bb.build();
Tensor.Builder rb = Tensor.Builder.of(TensorType.fromSpec("tensor(d0[2],d1[2],d2[2])"));
rb.cell( 94,0, 0, 0);
rb.cell(100,0, 0, 1);
rb.cell(229,0, 1, 0);
rb.cell(244,0, 1, 1);
rb.cell(508,1, 0, 0);
rb.cell(532,1, 0, 1);
rb.cell(697,1, 1, 0);
rb.cell(730,1, 1, 1);
Tensor r = rb.build();
Tensor result = a.matmul(b.rename(List.of("d1","d2"), List.of("d2","d3")), "d2")
.rename("d3","d2");
assertEquals(r, result);
}
}
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