-m onnx_diagnostic config … prints the config for a model id

Description

The command lines prints out the configuration file a model id available on HuggingFace.

    usage: config [-h] -m MID [-t | --task | --no-task]
                  [-c | --cached | --no-cached] [--mop [KEY=VALUE ...]]
    
    Prints out a configuration for a model id, prints the associated task as well.
    
    options:
      -h, --help            show this help message and exit
      -m MID, --mid MID     model id, usually <author>/<name>
      -t, --task, --no-task
                            displays the task as well
      -c, --cached, --no-cached
                            uses cached configuration, only available for some of
                            them, mostly for unit test purposes
      --mop [KEY=VALUE ...]
                            Additional model options, use to change some
                            parameters of the model, example: --mop
                            attn_implementation=eager

Example

python -m onnx_diagnostic config HuggingFaceM4/tiny-random-idefics

IdeficsConfig {
"additional_vocab_size": 2,
"alpha_initializer": "ones",
"alpha_type": "vector",
"alphas_initializer_range": 0.0,
"architectures": [
    "IdeficsForVisionText2Text"
],
"bos_token_id": 1,
"cross_layer_activation_function": "swiglu",
"cross_layer_interval": 1,
"dropout": 0.0,
"eos_token_id": 2,
"ffn_dim": 64,
"freeze_lm_head": false,
"freeze_text_layers": false,
"freeze_text_module_exceptions": [],
"freeze_vision_layers": false,
"freeze_vision_module_exceptions": [],
"hidden_act": "silu",
"hidden_size": 16,
"initializer_range": 0.02,
"intermediate_size": 11008,
"max_new_tokens": 128,
"max_position_embeddings": 128,
"model_type": "idefics",
"num_attention_heads": 4,
"num_hidden_layers": 2,
"pad_token_id": 0,
"perceiver_config": {
    "model_type": "idefics_perciever",
    "qk_layer_norms_perceiver": false,
    "resampler_depth": 2,
    "resampler_head_dim": 8,
    "resampler_n_heads": 2,
    "resampler_n_latents": 16,
    "use_resampler": false
},
"qk_layer_norms": false,
"rms_norm_eps": 1e-06,
"tie_word_embeddings": false,
"torch_dtype": "float16",
"transformers_version": "4.51.0.dev0",
"use_cache": true,
"use_resampler": true,
"vision_config": {
    "attention_dropout": 0.0,
    "embed_dim": 32,
    "hidden_act": "gelu",
    "image_size": 30,
    "initializer_factor": 1.0,
    "initializer_range": 0.02,
    "intermediate_size": 37,
    "layer_norm_eps": 1e-05,
    "model_type": "idefics_vision",
    "num_attention_heads": 4,
    "num_channels": 3,
    "num_hidden_layers": 5,
    "patch_size": 2,
    "vision_model_name": "hf-internal-testing/tiny-random-clip"
},
"vocab_size": 32000,
"word_embed_proj_dim": 16
}