This document contains examples to run Predict functions over gRPC API and REST API on stateful Kaldi models (rm_lstm4f , aspire_tdnn).
It covers following topics:
Install client dependencies using the command below in the example_client directory:
pip3 install -r stateful_client_requirements.txt
To run this example you will need to download the rm_lstm4f model with input and score ark files and convert it to IR format.
-
Download the model from rm_lstm4f
mkdir models & cd models
wget -r -np -nH --cut-dirs=5 -R *index.html* https://download.01.org/openvinotoolkit/models_contrib/speech/kaldi/rm_lstm4f/
This command downloads following files:
rm_lstm4f.counts rm_lstm4f.nnet rm_lstm4f.mapping rm_lstm4f.md
rm_lstm4f model files in Kaldi format.test_feat_1_10.ark
Kaldi's binary archive file with input data for the modeltest_score_1_10.ark
Kaldi's binary archive file with reference model results -
docker run -u $(id -u):$(id -g) -v $(pwd):/models:rw openvino/ubuntu18_dev:latest deployment_tools/model_optimizer/mo.py --framework kaldi --input_model /models/rm_lstm4f.nnet --counts /models/rm_lstm4f.counts --remove_output_softmax --output_dir /models/rm_lstm4f/1
-
Having
rm_lstm4f
model files.xml
and.bin
in the IR format present inbash $(pwd)/rm_lstm4f/1
directory, OVMS can be started using the command:docker run -d --rm -v $(pwd)/rm_lstm4f/:/tmp/model -p 9000:9000 -p 5555:5555 openvino/model_server:latest --stateful --port 9000 --rest_port 5555 --model_name rm_lstm4f --model_path /tmp/model
-
Return to the example_client/stateful directory
cd ..
- Command
usage: grpc_stateful_client.py [--input_path INPUT_PATH]
[--score_path SCORE_PATH]
[--grpc_address GRPC_ADDRESS]
[--grpc_port GRPC_PORT]
[--input_name INPUT_NAME]
[--output_name OUTPUT_NAME]
[--model_name MODEL_NAME]
[--debug DEBUG]
[--cw_l CW_L]
[--cw_r CW_R]
[--sequence_id SEQUENCE_ID]
- Arguments
Argument | Description |
---|---|
--input_path | Path to input ark file. Default: rm_lstm4f/test_feat_1_10.ark |
--score_path | Path to reference scores ark file. Default: rm_lstm4f/test_score_1_10.ark |
--grpc_address GRPC_ADDRESS | Specify url to grpc service. Default:localhost |
--grpc_port GRPC_PORT | Specify port to grpc service. Default: 9000 |
--input_name | Specify input tensor name. Default: Parameter |
--output_name | Specify output name. Default: affinetransform/Fused_Add_ |
--model_name | Define model name, must be same as is in service. Default: rm_lstm4f |
--cw_l | Number of requests for left context window. Works only with context window networks. Default: 0 |
--cw_r | Number of requests for right context window. Works only with context window networks. Default: 0 |
--debug DEBUG | Enabling debug prints. Set to 1 to enable debug prints. Default: 0 |
--sequence_id | Sequence ID used by every sequence provided in ARK files. Setting to 0 means sequence will obtain its ID from OVMS. Default: 0 |
- Usage example
python3 grpc_stateful_client.py --input_path $(pwd)/models/test_feat_1_10.ark --score_path $(pwd)/models/rm_lstm4f/test_score_1_10.ark --grpc_address localhost --grpc_port 9000 --input_name Parameter --output_name affinetransform/Fused_Add_ --model_name rm_lstm4f --sequence_id 1
### Starting grpc_stateful_client.py client ###
Context window left width cw_l: 0
Context window right width cw_r: 0
Starting sequence_id: 1
Start processing:
Model name: rm_lstm4f
Reading input ark file /some_path/test_feat_1_10.ark
Reading scores ark file /some_path/test_score_1_10.ark
Adding input name Parameter
Adding output name affinetransform/Fused_Add_
Sequence name: aem02_st0049_oct89
Sequence size: 250
Sequence id: 1
Sequence id: 1 ; Sequence name: aem02_st0049_oct89 ; Average RMS Error: 0.0000015199
Sequence name: aem02_st0122_oct89
Sequence size: 441
Sequence id: 1
Sequence id: 1 ; Sequence name: aem02_st0122_oct89 ; Average RMS Error: 0.0000015155
Sequence name: aem02_st0182_oct89
Sequence size: 347
Sequence id: 1
Sequence id: 1 ; Sequence name: aem02_st0182_oct89 ; Average RMS Error: 0.0000016066
Sequence name: aem02_st0276_oct89
Sequence size: 407
Sequence id: 1
Sequence id: 1 ; Sequence name: aem02_st0276_oct89 ; Average RMS Error: 0.0000015985
Sequence name: aem02_st0343_oct89
Sequence size: 353
Sequence id: 1
Sequence id: 1 ; Sequence name: aem02_st0343_oct89 ; Average RMS Error: 0.0000017223
Sequence name: aem02_st0421_oct89
Sequence size: 372
Sequence id: 1
Sequence id: 1 ; Sequence name: aem02_st0421_oct89 ; Average RMS Error: 0.0000016378
Sequence name: aem02_st0490_oct89
Sequence size: 214
Sequence id: 1
Sequence id: 1 ; Sequence name: aem02_st0490_oct89 ; Average RMS Error: 0.0000014651
Sequence name: aem02_st0554_oct89
Sequence size: 318
Sequence id: 1
Sequence id: 1 ; Sequence name: aem02_st0554_oct89 ; Average RMS Error: 0.0000017802
Sequence name: aem02_st0623_oct89
Sequence size: 285
Sequence id: 1
Sequence id: 1 ; Sequence name: aem02_st0623_oct89 ; Average RMS Error: 0.0000015983
Sequence name: aem02_st0705_oct89
Sequence size: 414
Sequence id: 1
Sequence id: 1 ; Sequence name: aem02_st0705_oct89 ; Average RMS Error: 0.0000014956
Global average rms error: 0.0000015940
processing time for all iterations
average time: 2.06 ms; average speed: 201.14 fps
median time: 2.00 ms; median speed: 207.00 fps
max time: 12.00 ms; min speed: 34.50 fps
min time: 1.00 ms; max speed: 414.00 fps
time percentile 90: 2.00 ms; speed percentile 90: 207.00 fps
time percentile 50: 2.00 ms; speed percentile 50: 207.00 fps
time standard deviation: 0.49
time variance: 0.24
### Finished grpc_stateful_client.py client processing ###
- Command
usage: rest_stateful_client.py [--input_path INPUT_PATH]
[--score_path SCORE_PATH]
[--rest_url REST_URL]
[--rest_port REST_PORT]
[--input_name INPUT_NAME]
[--output_name OUTPUT_NAME]
[--model_name MODEL_NAME]
[--model_version MODEL_VERSION]
[--debug DEBUG]
[--cw_l CW_L]
[--cw_r CW_R]
[--sequence_id SEQUENCE_ID]
[--client_cert CLIENT_CERT]
[--client_key CLIENT_KEY]
[--ignore_server_verification]
[--server_cert SERVER_CERT]
- Arguments
Argument | Description |
---|---|
--input_path | Path to input ark file. Default: rm_lstm4f/test_feat_1_10.ark |
--score_path | Path to reference scores ark file. Default: rm_lstm4f/test_score_1_10.ark |
--rest_url REST_URL | Specify url to rest service. Default: localhost |
--rest_port REST_PORT | Specify port to grpc service. Default: 9000 |
--input_name | Specify input tensor name. Default: Parameter |
--output_name | Specify output name. Default: affinetransform/Fused_Add_ |
--model_name | Define model name, must be same as is in service. Default: rm_lstm4f |
--cw_l | Number of requests for left context window. Works only with context window networks. Default: 0 |
--cw_r | Number of requests for right context window. Works only with context window networks. Default: 0 |
--debug DEBUG | Enabling debug prints. Set to 1 to enable debug prints. Default: 0 |
--sequence_id | Sequence ID used by every sequence provided in ARK files. Setting to 0 means sequence will obtain its ID from OVMS. Default: 0 |
--client_cert CLIENT_CERT | Specify mTLS client certificate file. Default: None |
--client_key CLIENT_KEY | Specify mTLS client key file. Default: None |
--ignore_server_verification | Skip TLS host verification. Do not use in production. Default: False |
--server_cert SERVER_CERT | Path to a custom directory containing trusted CA certificates, server certificate, or a CA_BUNDLE file. Default: None , will use default system CA cert store |
- Usage example
python3 rest_stateful_client.py --input_path $(pwd)/models/test_feat_1_10.ark --score_path $(pwd)/models/test_score_1_10.ark --rest_url localhost --rest_port 5555 --input_name Parameter --output_name affinetransform/Fused_Add_ --model_name rm_lstm4f --sequence_id 1
### Starting rest_stateful_client.py client ###
Context window left width cw_l: 0
Context window right width cw_r: 0
Starting sequence_id: 1
Start processing:
Model name: rm_lstm4f
Reading input ark file test_feat_1_10.ark
Reading scores ark file test_score_1_10.ark
Adding input name Parameter
Adding output name affinetransform/Fused_Add_
Sequence name: aem02_st0049_oct89
Sequence size: 250
Sequence id: 1
Sequence id: 1 ; Sequence name: aem02_st0049_oct89 ; Average RMS Error: 0.0000015206
Sequence name: aem02_st0122_oct89
Sequence size: 441
Sequence id: 1
Sequence id: 1 ; Sequence name: aem02_st0122_oct89 ; Average RMS Error: 0.0000015164
Sequence name: aem02_st0182_oct89
Sequence size: 347
Sequence id: 1
Sequence id: 1 ; Sequence name: aem02_st0182_oct89 ; Average RMS Error: 0.0000016075
Sequence name: aem02_st0276_oct89
Sequence size: 407
Sequence id: 1
Sequence id: 1 ; Sequence name: aem02_st0276_oct89 ; Average RMS Error: 0.0000015992
Sequence name: aem02_st0343_oct89
Sequence size: 353
Sequence id: 1
Sequence id: 1 ; Sequence name: aem02_st0343_oct89 ; Average RMS Error: 0.0000017230
Sequence name: aem02_st0421_oct89
Sequence size: 372
Sequence id: 1
Sequence id: 1 ; Sequence name: aem02_st0421_oct89 ; Average RMS Error: 0.0000016386
Sequence name: aem02_st0490_oct89
Sequence size: 214
Sequence id: 1
Sequence id: 1 ; Sequence name: aem02_st0490_oct89 ; Average RMS Error: 0.0000014658
Sequence name: aem02_st0554_oct89
Sequence size: 318
Sequence id: 1
Sequence id: 1 ; Sequence name: aem02_st0554_oct89 ; Average RMS Error: 0.0000017808
Sequence name: aem02_st0623_oct89
Sequence size: 285
Sequence id: 1
Sequence id: 1 ; Sequence name: aem02_st0623_oct89 ; Average RMS Error: 0.0000015989
Sequence name: aem02_st0705_oct89
Sequence size: 414
Sequence id: 1
Sequence id: 1 ; Sequence name: aem02_st0705_oct89 ; Average RMS Error: 0.0000014963
Global average rms error: 0.0000015947
processing time for all iterations
average time: 4.17 ms; average speed: 99.19 fps
median time: 3.00 ms; median speed: 138.00 fps
max time: 14.00 ms; min speed: 29.57 fps
min time: 2.00 ms; max speed: 207.00 fps
time percentile 90: 7.00 ms; speed percentile 90: 59.14 fps
time percentile 50: 3.00 ms; speed percentile 50: 138.00 fps
time standard deviation: 1.73
time variance: 2.98
### Finished rest_stateful_client.py client processing ###