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/*
* Copyright 2019 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 androidx.benchmark
import android.opengl.Matrix
internal object ThrottleDetector {
private var initNs = 0L
/**
* Copies 400K, 10 times.
*/
private fun copySomeData() {
val a = ByteArray(400000)
val b = ByteArray(400000)
for (i in 0..9) {
System.arraycopy(a, 0, b, 0, a.size)
}
}
private fun measureWorkNs(): Long {
// Access a non-trivial amount of data to try and 'reset' any cache state.
// Have observed this to give more consistent performance when clocks are unlocked.
copySomeData()
val state = BenchmarkState()
state.simplifiedTimingOnlyMode = true
val sourceMatrix = FloatArray(16) { System.nanoTime().toFloat() }
val resultMatrix = FloatArray(16)
while (state.keepRunningInline()) {
// Benchmark a simple thermal
Matrix.translateM(resultMatrix, 0, sourceMatrix, 0, 1F, 2F, 3F)
}
return state.getMinTimeNanos()
}
/**
* Called to calculate throttling baseline, will be ignored after first call.
*/
fun computeThrottleBaseline() {
if (initNs == 0L) {
initNs = measureWorkNs()
}
}
/**
* Makes a guess as to whether the device is currently thermal throttled based on performance
* of single-threaded CPU work.
*/
fun isDeviceThermalThrottled(): Boolean {
if (initNs == 0L) {
// not initialized, so assume not throttled.
return false
}
val workNs = measureWorkNs()
return workNs > initNs * 1.10
}
}