Remap dense layer parameter naming

2_Dense/pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:56c3ddab00f5584602748b1c7cdf7c0db8161671a3be1103e9c66ceba70caadc
-size 9438171
+oid sha256:97720d328d1a1a4168acac9f3d3c19c1809def87e67f2438fc06cd0235d7a5b0
+size 9438013

convert.py

@@ -0,0 +1,25 @@
+#!/usr/bin/env python3
+
+import sys
+from collections import OrderedDict
+
+import torch
+
+# Load and keep backup
+m_input = torch.load("2_Dense/pytorch_model.bin")
+torch.save(m_input, "2_Dense/pytorch_model.bin.bak")
+
+# Mappings
+rename = {"layer.weight": "linear.weight"}
+
+# Output
+m_output = OrderedDict()
+for key, params in m_input.items():
+    dst = key
+    if key in rename:
+        print(f"Mapping {key} to {rename[key]}", file=sys.stderr)
+        dst = rename[key]
+
+    m_output[dst] = params
+
+torch.save(m_output, "2_Dense/pytorch_model.bin")