Merge "Add performance test suite for opengl Matrix operations" (25deb4c8) · Commits · e / os / android_frameworks_base

apct-tests/perftests/core/src/android/opengl/perftests/MatrixPerfTest.java

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		/*
		* Copyright (C) 2022 The Android Open Source Project
		*
		* Licensed 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 android.opengl.perftests;

		import android.opengl.Matrix;
		import android.perftests.utils.BenchmarkState;
		import android.perftests.utils.PerfStatusReporter;

		import androidx.test.filters.LargeTest;

		import org.junit.Rule;
		import org.junit.Test;

		import java.util.Random;

		@LargeTest
		public class MatrixPerfTest {
		@Rule
		public PerfStatusReporter mPerfStatusReporter = new PerfStatusReporter();

		@Rule
		public float[] array = new float[48];

		@Rule
		public float[] bigArray = new float[16 * 1024 * 1024];


		@Test
		public void testMultiplyMM() {
		Random rng = new Random();
		for (int i = 0; i < 32; i++) {
		array[i] = rng.nextFloat();
		}

		final BenchmarkState state = mPerfStatusReporter.getBenchmarkState();
		while (state.keepRunning()) {
		Matrix.multiplyMM(array, 32, array, 16, array, 0);
		}
		}

		@Test
		public void testMultiplyMMLeftOverlapResult() {
		Random rng = new Random();
		for (int i = 0; i < 32; i++) {
		array[i] = rng.nextFloat();
		}

		final BenchmarkState state = mPerfStatusReporter.getBenchmarkState();
		while (state.keepRunning()) {
		Matrix.multiplyMM(array, 16, array, 16, array, 0);
		}
		}

		@Test
		public void testMultiplyMMRightOverlapResult() {
		Random rng = new Random();
		for (int i = 0; i < 32; i++) {
		array[i] = rng.nextFloat();
		}

		final BenchmarkState state = mPerfStatusReporter.getBenchmarkState();
		while (state.keepRunning()) {
		Matrix.multiplyMM(array, 0, array, 16, array, 0);
		}
		}

		@Test
		public void testMultiplyMMAllOverlap() {
		Random rng = new Random();
		for (int i = 0; i < 16; i++) {
		array[i] = rng.nextFloat();
		}

		final BenchmarkState state = mPerfStatusReporter.getBenchmarkState();
		while (state.keepRunning()) {
		Matrix.multiplyMM(array, 0, array, 0, array, 0);
		}
		}

		@Test
		public void testMultiplyMMOutputBigArray() {
		Random rng = new Random();
		for (int i = 0; i < 32; i++) {
		array[i] = rng.nextFloat();
		}

		final BenchmarkState state = mPerfStatusReporter.getBenchmarkState();
		while (state.keepRunning()) {
		Matrix.multiplyMM(bigArray, 1024, array, 16, array, 0);
		}
		}

		@Test
		public void testMultiplyMMAllBigArray() {
		Random rng = new Random();
		for (int i = 0; i < 32; i++) {
		bigArray[i] = rng.nextFloat();
		}

		final BenchmarkState state = mPerfStatusReporter.getBenchmarkState();
		while (state.keepRunning()) {
		Matrix.multiplyMM(bigArray, 1024, bigArray, 16, bigArray, 0);
		}
		}

		@Test
		public void testMultiplyMV() {
		Random rng = new Random();
		for (int i = 0; i < 20; i++) {
		array[i] = rng.nextFloat();
		}

		final BenchmarkState state = mPerfStatusReporter.getBenchmarkState();
		while (state.keepRunning()) {
		Matrix.multiplyMV(array, 20, array, 4, array, 0);
		}
		}

		@Test
		public void testMultiplyMVLeftOverlapResult() {
		Random rng = new Random();
		for (int i = 0; i < 20; i++) {
		array[i] = rng.nextFloat();
		}

		final BenchmarkState state = mPerfStatusReporter.getBenchmarkState();
		while (state.keepRunning()) {
		Matrix.multiplyMV(array, 4, array, 4, array, 0);
		}
		}

		@Test
		public void testMultiplyMVRightOverlapResult() {
		Random rng = new Random();
		for (int i = 0; i < 32; i++) {
		array[i] = rng.nextFloat();
		}

		final BenchmarkState state = mPerfStatusReporter.getBenchmarkState();
		while (state.keepRunning()) {
		Matrix.multiplyMV(array, 0, array, 16, array, 0);
		}
		}

		@Test
		public void testMultiplyMVAllOverlap() {
		Random rng = new Random();
		for (int i = 0; i < 16; i++) {
		array[i] = rng.nextFloat();
		}

		final BenchmarkState state = mPerfStatusReporter.getBenchmarkState();
		while (state.keepRunning()) {
		Matrix.multiplyMV(array, 0, array, 0, array, 0);
		}
		}

		@Test
		public void testMultiplyMVOutputBigArray() {
		Random rng = new Random();
		for (int i = 0; i < 20; i++) {
		array[i] = rng.nextFloat();
		}

		final BenchmarkState state = mPerfStatusReporter.getBenchmarkState();
		while (state.keepRunning()) {
		Matrix.multiplyMV(bigArray, 1024, array, 16, array, 0);
		}
		}

		@Test
		public void testMultiplyMVAllBigArray() {
		Random rng = new Random();
		for (int i = 0; i < 20; i++) {
		bigArray[i] = rng.nextFloat();
		}

		final BenchmarkState state = mPerfStatusReporter.getBenchmarkState();
		while (state.keepRunning()) {
		Matrix.multiplyMV(bigArray, 1024, bigArray, 16, bigArray, 0);
		}
		}

		@Test
		public void testTransposeM() {
		Random rng = new Random();
		for (int i = 0; i < 16; i++) {
		array[i] = rng.nextFloat();
		}

		final BenchmarkState state = mPerfStatusReporter.getBenchmarkState();
		while (state.keepRunning()) {
		Matrix.transposeM(array, 16, array, 0);
		}
		}

		@Test
		public void testInvertM() {
		// non-singular matrix
		array[ 0] = 0.814f;
		array[ 1] = 4.976f;
		array[ 2] = -3.858f;
		array[ 3] = 7.206f;
		array[ 4] = 5.112f;
		array[ 5] = -2.420f;
		array[ 6] = 8.791f;
		array[ 7] = 6.426f;
		array[ 8] = 2.945f;
		array[ 9] = 1.801f;
		array[10] = -2.594f;
		array[11] = 2.663f;
		array[12] = -5.003f;
		array[13] = -4.188f;
		array[14] = 3.340f;
		array[15] = -1.235f;

		final BenchmarkState state = mPerfStatusReporter.getBenchmarkState();
		while (state.keepRunning()) {
		Matrix.invertM(array, 16, array, 0);
		}
		}

		@Test
		public void testOrthoM() {
		final BenchmarkState state = mPerfStatusReporter.getBenchmarkState();
		while (state.keepRunning()) {
		Matrix.orthoM(array, 0, 0.0f, 1.0f, 0.0f, 1.0f, 0.0f, 1.0f);
		}
		}

		@Test
		public void testFrustumM() {
		final BenchmarkState state = mPerfStatusReporter.getBenchmarkState();
		while (state.keepRunning()) {
		Matrix.frustumM(array, 0, 0.0f, 1.0f, 0.0f, 1.0f, 0.0f, 1.0f);
		}
		}

		@Test
		public void testPerspectiveM() {
		final BenchmarkState state = mPerfStatusReporter.getBenchmarkState();
		while (state.keepRunning()) {
		Matrix.perspectiveM(array, 0, 45.0f, 1.0f, 1.0f, 100.0f);
		}
		}

		@Test
		public void testLength() {
		Random rng = new Random();
		for (int i = 0; i < 3; i++) {
		array[i] = rng.nextFloat();
		}

		final BenchmarkState state = mPerfStatusReporter.getBenchmarkState();
		while (state.keepRunning()) {
		Matrix.length(array[0], array[1], array[2]);
		}
		}

		@Test
		public void testSetIdentityM() {
		final BenchmarkState state = mPerfStatusReporter.getBenchmarkState();
		while (state.keepRunning()) {
		Matrix.setIdentityM(array, 0);
		}
		}

		@Test
		public void testScaleM() {
		Random rng = new Random();
		for (int i = 0; i < 19; i++) {
		array[i] = rng.nextFloat();
		}

		final BenchmarkState state = mPerfStatusReporter.getBenchmarkState();
		while (state.keepRunning()) {
		Matrix.scaleM(array, 19, array, 0, array[16], array[17], array[18]);
		}
		}

		@Test
		public void testScaleMInPlace() {
		Random rng = new Random();
		for (int i = 0; i < 19; i++) {
		array[i] = rng.nextFloat();
		}

		final BenchmarkState state = mPerfStatusReporter.getBenchmarkState();
		while (state.keepRunning()) {
		Matrix.scaleM(array, 0, array[16], array[17], array[18]);
		}
		}

		@Test
		public void testTranslateM() {
		Random rng = new Random();
		for (int i = 0; i < 19; i++) {
		array[i] = rng.nextFloat();
		}

		final BenchmarkState state = mPerfStatusReporter.getBenchmarkState();
		while (state.keepRunning()) {
		Matrix.translateM(array, 19, array, 0, array[16], array[17], array[18]);
		}
		}

		@Test
		public void testTranslateMInPlace() {
		Random rng = new Random();
		for (int i = 0; i < 19; i++) {
		array[i] = rng.nextFloat();
		}

		final BenchmarkState state = mPerfStatusReporter.getBenchmarkState();
		while (state.keepRunning()) {
		Matrix.translateM(array, 0, array[16], array[17], array[18]);
		}
		}

		@Test
		public void testRotateM() {
		Random rng = new Random();
		for (int i = 0; i < 20; i++) {
		array[i] = rng.nextFloat();
		}

		final BenchmarkState state = mPerfStatusReporter.getBenchmarkState();
		while (state.keepRunning()) {
		Matrix.rotateM(array, 20, array, 0, array[16], array[17], array[18], array[19]);
		}
		}

		@Test
		public void testRotateMInPlace() {
		Random rng = new Random();
		for (int i = 0; i < 20; i++) {
		array[i] = rng.nextFloat();
		}

		final BenchmarkState state = mPerfStatusReporter.getBenchmarkState();
		while (state.keepRunning()) {
		Matrix.rotateM(array, 0, array[16], array[17], array[18], array[19]);
		}
		}

		@Test
		public void testSetRotateM() {
		Random rng = new Random();
		array[0] = rng.nextFloat() * 90.0f;
		array[1] = rng.nextFloat() + 0.5f;
		array[2] = rng.nextFloat() + 0.5f;
		array[3] = rng.nextFloat() + 0.5f;

		final BenchmarkState state = mPerfStatusReporter.getBenchmarkState();
		while (state.keepRunning()) {
		Matrix.setRotateM(array, 4, array[0], array[1], array[2], array[3]);
		}
		}

		@Test
		public void testSetRotateEulerM() {
		Random rng = new Random();
		array[0] = rng.nextFloat() * 90.0f;
		array[1] = rng.nextFloat() * 90.0f;
		array[2] = rng.nextFloat() * 90.0f;

		final BenchmarkState state = mPerfStatusReporter.getBenchmarkState();
		while (state.keepRunning()) {
		Matrix.setRotateEulerM(array, 3, array[0], array[1], array[2]);
		}
		}

		@Test
		public void testSetLookAtM() {
		final BenchmarkState state = mPerfStatusReporter.getBenchmarkState();
		while (state.keepRunning()) {
		Matrix.setLookAtM(array, 9,
		1.0f, 0.0f, 0.0f,
		1.0f, 0.0f, 1.0f,
		0.0f, 1.0f, 0.0f);
		}
		}
		}