add performance tests for ML part, commented out in production

This commit is contained in:
Alexandre Storelli 2019-03-20 19:38:01 +01:00
parent c66ab1e81e
commit 9f8162f37f
2 changed files with 6 additions and 3 deletions

View File

@ -151,6 +151,7 @@ class MlPredictor extends Writable {
try {
var results = JSON.parse(res);
//log.debug("results=" + JSON.stringify(results))
//log.debug("perf: nwin=" + results.nwin + " pre=" + results.timings.pre + " tf=" + results.timings.tf + " post=" + results.timings.post + " total=" + results.timings.total);
} catch(e) {
log.error(self.canonical + " could not parse json results: " + e + " original data=|" + res + "|");
return callback(err);

View File

@ -177,9 +177,9 @@ class MlPredictor(object):
logger.debug("ceps.shape " + str(ceps.shape) + " nnXLen " + str(nnXLen) + " nnXStep " + str(nnXStep) + " nwin " + str(nwin))
X = np.empty([nwin, nnXLen, mfccNceps])
#t3 = timer()
for i in range(nwin):
X[i,:,:] = ceps[i*nnXStep:(i*nnXStep+nnXLen),:]
#t3 = timer()
predictions = self.model.predict(X, verbose=debug)
@ -195,6 +195,7 @@ class MlPredictor(object):
logger.debug("confidence " + str(confidence))
logger.debug("rms " + str(rms))
#t5 = timer()
result = json.dumps({
'type': predclass,
'data': predictions.tolist(),
@ -203,11 +204,12 @@ class MlPredictor(object):
'rms': rms,
'mem': process.memory_info().rss,
'lenpcm': len(self.pcm),
#'timings': {'mfcc': str(t2-t1), 'inference': str(t4-t3)}
#'timings': {'pre': str(t3-t0), 'tf': str(t4-t3), 'post': str(t5-t4), 'total': str(t5-t0)},
'nwin': nwin
})
logger.info("audio predicted probs=" + result)
#logger.info("pre=%s ms tf=%s ms post=%s ms total=%s ms" % (t3-t0, t4-t3, t5-t4, t5-t0))
return result
def exit(self):