public void NoTrainingContextLeaks()
{
int numInputs = 200;
var layerSpecs = MakeLayers();
var weightCount = RNNInterop.GetWeightCount(layerSpecs, numInputs);
const int numSamples = 10;
var trainingData = Lists.Repeat(numSamples, _ => MakeVector(numInputs)).ColumnsToMatrix();
var outputData = MakeVector(numSamples);
var weights = MakeVector(weightCount);
var mem = new MemoryAnalyzer();
using (mem)
{
Lists.Repeat(2500, i => {
var context = RNNInterop.CreateTrainingContext(layerSpecs, trainingData, outputData);
RNNInterop.EvaluateWeights(context, weights);
context.Dispose();
});
}
Trace.WriteLine("Mem usage before: " + mem.StartMB);
Trace.WriteLine("Mem usage after: " + mem.StopMB);
Assert.IsTrue(mem.StopMB - mem.StartMB < 2);
}
public void NoGetWeightsLeaks()
{
var layerSpecs = MakeLayers();
var mem = new MemoryAnalyzer();
using (mem)
{
Lists.Repeat(30000, i => {
RNNInterop.GetWeightCount(layerSpecs, 200);
});
}
Trace.WriteLine("Mem usage before: " + mem.StartMB);
Trace.WriteLine("Mem usage after: " + mem.StopMB);
Assert.IsTrue(mem.StopMB - mem.StartMB < 15);
// 15MB: don't know why this appears to leak, but it seems to approach some limit logarithmically with respect
// to the number of calls to GetWeightCount(). oh well, we can afford 15MB for 30000 calls. Probably a
// GC artifact anyway.
}
public void NoPropagationContextLeaks()
{
int numInputs = 200;
var layerSpecs = MakeLayers();
var weightCount = RNNInterop.GetWeightCount(layerSpecs, numInputs);
var mem = new MemoryAnalyzer();
using (mem)
{
Lists.Repeat(10000, _ => {
var rnnSpec = new RNNSpec(numInputs, layerSpecs, new DenseVector(weightCount));
var context = RNNInterop.CreatePropagationContext(rnnSpec);
var input = MakeVector(numInputs);
RNNInterop.PropagateInput(context, input.ToArray(), 1);
context.Dispose();
});
}
Trace.WriteLine("Mem usage before: " + mem.StartMB);
Trace.WriteLine("Mem usage after: " + mem.StopMB);
Assert.IsTrue(mem.StopMB - mem.StartMB < 2);
}
