regnetx-3.2gf: don't download anything at conversion time

The pycls.models.model_zoo.regnetx function downloads the config file, which
is bad, because:

a) all downloading is supposed to be done by the downloader, and
b) there's no integrity checking on the downloaded file (and in fact, the file
   can change, because the link points to the master branch of the repository),
   which endangers the security and reproducibility of the conversion process.

Add the config file to the list of the model's files and change the model
creation code to avoid the unwanted download.

Author: Roman Donchenko

models/public/regnetx-3.2gf/model.py

@@ -15,7 +15,8 @@
 import pycls.core.checkpoint
 import pycls.models.model_zoo
 
-def regnetx_32gf(weights_path):
-    model = pycls.models.model_zoo.regnetx("RegNetX-3.2GF")
+def regnet(config_path, weights_path):
+    pycls.core.config.cfg.merge_from_file(config_path)
+    model = pycls.models.model_zoo.RegNet()
     pycls.core.checkpoint.load_checkpoint(weights_path, model)
     return model

models/public/regnetx-3.2gf/model.yml

@@ -21,6 +21,10 @@ description: >-
   Codebase for Image Classification Research <https://github.com/facebookresearch/pycls>.
 task_type: classification
 files:
+  - name: configs/dds_baselines/regnetx/RegNetX-3.2GF_dds_8gpu.yaml
+    size: 362
+    sha256: 166491e53c668ecc181692dde27221b4358f1b889e7726396690c24547e53f5f
+    source: https://raw.githubusercontent.com/facebookresearch/pycls/ca89a79161e437deca8f39f31ceaef3b05873f30/configs/dds_baselines/regnetx/RegNetX-3.2GF_dds_8gpu.yaml
   - name: pycls/__init__.py
     size: 0
     sha256: e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855
@@ -89,8 +93,9 @@ postprocessing:
 conversion_to_onnx_args:
   - --model-path=$config_dir
   - --model-path=$dl_dir
-  - --model-name=regnetx_32gf
+  - --model-name=regnet
   - --import-module=model
+  - --model-param=config_path=r"$dl_dir/configs/dds_baselines/regnetx/RegNetX-3.2GF_dds_8gpu.yaml"
   - --model-param=weights_path=r"$dl_dir/ckpt/regnetx-3.2gf.pyth"
   - --input-shape=1,3,224,224
   - --input-names=data