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Some tests

Latency comparison tests

The bash script testLatencies.sh compares elapsed times of transcript of the audio file ./audio/4507-16021-0012.wav (corresponding to text why should one halt on the way), in 2 cases:

  • using a bash script running the CLI stt official client
  • using the nodejs native client stt.js
$ cd tests
$ testLatencies.sh 

#
# testLatencies.sh
# test elapsed time / resopurce (using /urs/bin/time)
# and CPU cores usage (using pidstat) in different cases
#


#
# Test 1: stt cli command
#

Linux 5.8.0-53-generic (giorgio-HP-Laptop-17-by1xxx) 	17/05/2021 	_x86_64_	(8 CPU)
Loading model from file ../models/coqui-stt-0.9.3-models.pbmm
TensorFlow: v2.3.0-6-g23ad988fcde
 Coqui STT: v0.10.0-alpha.4-78-g1f3d2dab
2021-05-17 12:08:31.668756: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN)to use the following CPU instructions in performance-critical operations:  AVX2 FMA
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
Loaded model in 0.0162s.
Loading scorer from files ../models/coqui-stt-0.9.3-models.scorer
Loaded scorer in 0.000317s.
Running inference.

12:08:31      UID       PID    %usr %system  %guest   %wait    %CPU   CPU  Command
12:08:32     1000     23714  154,00   58,00    0,00    0,00  212,00     2  stt
experience proves this
Inference took 1.081s for 1.975s audio file.

Average:     1000     23714  154,00   58,00    0,00    0,00  212,00     -  stt
	Command being timed: "pidstat 1 -u -e stt --model ../models/coqui-stt-0.9.3-models.pbmm --scorer ../models/coqui-stt-0.9.3-models.scorer --audio ../audio/2830-3980-0043.wav"
	User time (seconds): 0.00
	System time (seconds): 0.00
	Percent of CPU this job got: 0%
	Elapsed (wall clock) time (h:mm:ss or m:ss): 0:01.34
	Average shared text size (kbytes): 0
	Average unshared data size (kbytes): 0
	Average stack size (kbytes): 0
	Average total size (kbytes): 0
	Maximum resident set size (kbytes): 2244
	Average resident set size (kbytes): 0
	Major (requiring I/O) page faults: 0
	Minor (reclaiming a frame) page faults: 112
	Voluntary context switches: 3
	Involuntary context switches: 0
	Swaps: 0
	File system inputs: 0
	File system outputs: 0
	Socket messages sent: 0
	Socket messages received: 0
	Signals delivered: 0
	Page size (bytes): 4096
	Exit status: 0

wait few seconds..


#
# Test 2: node stt.js
#

Linux 5.8.0-53-generic (giorgio-HP-Laptop-17-by1xxx) 	17/05/2021 	_x86_64_	(8 CPU)
TensorFlow: v2.3.0-6-g23ad988fcde
 Coqui STT: v0.10.0-alpha.4-78-g1f3d2dab
2021-05-17 12:08:37.891352: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN)to use the following CPU instructions in performance-critical operations:  AVX2 FMA
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
Model { _impl: SwigProxy {} }

pbmm                 : ../models/coqui-stt-0.9.3-models.pbmm
scorer               : ../models/coqui-stt-0.9.3-models.scorer
elapsed              : 11ms


12:08:37      UID       PID    %usr %system  %guest   %wait    %CPU   CPU  Command
12:08:38     1000     23751  111,00   10,00    0,00    0,00  121,00     7  node
audio file           : ../audio/2830-3980-0043.wav
transcript           : experience proves this
elapsed              : 1058ms

free model elapsed   : 6ms


Average:     1000     23751  111,00   10,00    0,00    0,00  121,00     -  node
	Command being timed: "pidstat 1 -u -e node ../stt.js ../models/coqui-stt-0.9.3-models.pbmm ../models/coqui-stt-0.9.3-models.scorer ../audio/2830-3980-0043.wav"
	User time (seconds): 0.00
	System time (seconds): 0.00
	Percent of CPU this job got: 0%
	Elapsed (wall clock) time (h:mm:ss or m:ss): 0:01.17
	Average shared text size (kbytes): 0
	Average unshared data size (kbytes): 0
	Average stack size (kbytes): 0
	Average total size (kbytes): 0
	Maximum resident set size (kbytes): 2360
	Average resident set size (kbytes): 0
	Major (requiring I/O) page faults: 0
	Minor (reclaiming a frame) page faults: 113
	Voluntary context switches: 3
	Involuntary context switches: 0
	Swaps: 0
	File system inputs: 0
	File system outputs: 0
	Socket messages sent: 0
	Socket messages received: 0
	Signals delivered: 0
	Page size (bytes): 4096
	Exit status: 0

httpServer tests

Client side:

$ clientNearRequests.sh

{
    "id": 1622995873762,
    "latency": 1398,
    "result": "experience proves this"
}
{
    "id": 1622995874259,
    "latency": 1700,
    "result": "experience proves this"
}
{
    "id": 1622995874762,
    "latency": 1814,
    "result": "experience proves this"
}

...
...

done (40 requests)

Server side:

$ node httpServer.js  --model=../models/coqui-stt-0.9.3-models.pbmm --scorer=../models/coqui-stt-0.9.3-models.scorer >2 /dev/null

1622995859188 package coquisttjs version 0.0.17, Coqui STT version 0.10.0-alpha.6
1622995859191 Model name: ../models/coqui-stt-0.9.3-models.pbmm
1622995859191 Scorer name: ../models/coqui-stt-0.9.3-models.scorer
1622995859191 HTTP server port: 3000
1622995859191 HTTP server path: /transcript
1622995859192 server httpServer.js running at http://localhost:3000
1622995859192 endpoint http://localhost:3000/transcript
1622995859193 press Ctrl-C to shutdown
1622995859193 ready to listen incoming requests
1622995873762 request POST 1622995873762 speechBuffer  
1622995874259 request POST 1622995874259 speechBuffer  
1622995874762 request POST 1622995874762 speechBuffer  
1622995875163 response 1622995873762 {"id":1622995873762,"latency":1398,"result":"experience proves this"}
1622995875263 request POST 1622995875263 speechBuffer  
1622995875766 request POST 1622995875766 speechBuffer  
1622995875960 response 1622995874259 {"id":1622995874259,"latency":1700,"result":"experience proves this"}
1622995876267 request POST 1622995876267 speechBuffer  
1622995876578 response 1622995874762 {"id":1622995874762,"latency":1814,"result":"experience proves this"}
1622995876772 request POST 1622995876772 speechBuffer  
1622995877064 response 1622995875263 {"id":1622995875263,"latency":1800,"result":"experience proves this"}
1622995877273 request POST 1622995877273 speechBuffer  
1622995877610 response 1622995875766 {"id":1622995875766,"latency":1842,"result":"experience proves this"}
1622995877776 request POST 1622995877776 speechBuffer  
1622995878206 response 1622995876267 {"id":1622995876267,"latency":1938,"result":"experience proves this"}
1622995878275 request POST 1622995878275 speechBuffer  
1622995878777 request POST 1622995878777 speechBuffer  
1622995879102 response 1622995876772 {"id":1622995876772,"latency":2329,"result":"experience proves this"}
1622995879276 request POST 1622995879276 speechBuffer  
1622995879779 request POST 1622995879779 speechBuffer  

...
...

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