config/yml file configuration

[ntsakoulis]

hello everyone.

I have some questions about the yml file configuration. any help will be wellcomed.

Model section (Keras model)

1 KerasJson: keras/KERAS_3layer.json
2 KerasH5: keras/KERAS_3layer_weights.h5 #You can also use h5 file from Keras's model.save() without supplying json file.
3 InputData: keras/KERAS_3layer_input_features.dat
4 OutputPredictions: keras/KERAS_3layer_predictions.dat

at this point of yml file. i save my keras model as .h5 file. so i remove first line and i only keep the second ?
also where is the decalration golden_output.dat file??

also
HLSConfig:
Model:
Precision: ap_fixed<16,6>
ReuseFactor: 1
Strategy: Latency
LayerType:
Dense:
ReuseFactor: 2
Strategy: Resource

i have understand this section of code. but where can i find available cionfiguration options ?? is there any doc ? i can not find anything

Last, i built a yml file and from cli i typed hl4ml convert -p project_name and the folder that was created did not include any vivado project in order to open it and make any work directly from vivado. Should i use only python api for hls4ml??

thnaks for your time ,

[vloncar]

Use the python API, the CLI is deprecated. Did you try reading the documentation?

Out of curiosity, where did you get advice to start with the CLI instead of the API that is suggested on the project page and in all documentation?

[ntsakoulis]

from google, but it does not matter. I'll make use of python API. Of course i tried the documentation but i can not find answers in my questions Vladimir. Can you help me with my questions?
Thanks,

[be-Berserker]

https://github.com/fastmachinelearning/hls4ml-tutorial/blob/main/part1_getting_started.ipynb
part1 to 7 may be able to figure out ur questions