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Fixup for distill_any_depth conversion script (#37043)

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* Fixup

* trigger
This commit is contained in:
Pavel Iakubovskii
2025-03-27 13:29:25 +00:00
committed by GitHub
parent d1eafe8d4e
commit c7bc79bd2a
1 changed files with 4 additions and 4 deletions
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8
src/transformers/models/depth_anything/convert_distill_any_depth_to_hf.py
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@@ -45,12 +45,12 @@ ORIGINAL_TO_CONVERTED_KEY_MAPPING = {
r"(backbone|pretrained)(\.blocks(\.\d+)?)?\.(\d+)\.norm(1|2)\.(weight|bias)": r"backbone.encoder.layer.\4.norm\5.\6", r"(backbone|pretrained)(\.blocks(\.\d+)?)?\.(\d+)\.norm(1|2)\.(weight|bias)": r"backbone.encoder.layer.\4.norm\5.\6",
r"depth_head\.projects\.(\d+)\.(weight|bias)": r"neck.reassemble_stage.layers.\1.projection.\2", r"depth_head\.projects\.(\d+)\.(weight|bias)": r"neck.reassemble_stage.layers.\1.projection.\2",
r"depth_head\.resize_layers\.(?!2)(\d+)\.(weight|bias)": r"neck.reassemble_stage.layers.\1.resize.\2", r"depth_head\.resize_layers\.(?!2)(\d+)\.(weight|bias)": r"neck.reassemble_stage.layers.\1.resize.\2",
r"depth_head\.scratch\.layer(\d+)_rn\.weight": lambda m: f"neck.convs.{int(m[1])-1}.weight", r"depth_head\.scratch\.layer(\d+)_rn\.weight": lambda m: f"neck.convs.{int(m[1]) - 1}.weight",
r"depth_head\.scratch\.output_conv(\d+)(?:\.(\d+))?\.(weight|bias)": lambda m: ( r"depth_head\.scratch\.output_conv(\d+)(?:\.(\d+))?\.(weight|bias)": lambda m: (
f"head.conv{int(m[1]) + (int(m[2])//2 if m[2] else 0)}.{m[3]}" if m[1] == "2" else f"head.conv{m[1]}.{m[3]}" f"head.conv{int(m[1]) + (int(m[2]) // 2 if m[2] else 0)}.{m[3]}" if m[1] == "2" else f"head.conv{m[1]}.{m[3]}"
), ),
r"depth_head\.scratch\.refinenet(\d+)\.out_conv\.(weight|bias)": lambda m: f"neck.fusion_stage.layers.{3 - (int(m[1])-1)}.projection.{m[2]}", r"depth_head\.scratch\.refinenet(\d+)\.out_conv\.(weight|bias)": lambda m: f"neck.fusion_stage.layers.{3 - (int(m[1]) - 1)}.projection.{m[2]}",
r"depth_head\.scratch\.refinenet(\d+)\.resConfUnit(\d+)\.conv(\d+)\.(weight|bias)": lambda m: f"neck.fusion_stage.layers.{3 - (int(m[1])-1)}.residual_layer{m[2]}.convolution{m[3]}.{m[4]}", r"depth_head\.scratch\.refinenet(\d+)\.resConfUnit(\d+)\.conv(\d+)\.(weight|bias)": lambda m: f"neck.fusion_stage.layers.{3 - (int(m[1]) - 1)}.residual_layer{m[2]}.convolution{m[3]}.{m[4]}",
} }