Fix timm conversion for rersnet (#1814)

keras_nlp/src/utils/timm/convert_resnet.py

@@ -56,6 +56,8 @@ def convert_backbone_config(timm_config):
         stackwise_num_strides=[1, 2, 2, 2],
         block_type=block_type,
         use_pre_activation=use_pre_activation,
+        input_conv_filters=[64],
+        input_conv_kernel_sizes=[7],
     )
 
 
@@ -100,10 +102,10 @@ def port_batch_normalization(keras_layer_name, hf_weight_prefix):
     for stack_index in range(num_stacks):
         for block_idx in range(backbone.stackwise_num_blocks[stack_index]):
             if version == "v1":
-                keras_name = f"v1_stack{stack_index}_block{block_idx}"
+                keras_name = f"stack{stack_index}_block{block_idx}"
                 hf_name = f"layer{stack_index+1}.{block_idx}"
             else:
-                keras_name = f"v2_stack{stack_index}_block{block_idx}"
+                keras_name = f"stack{stack_index}_block{block_idx}"
                 hf_name = f"stages.{stack_index}.blocks.{block_idx}"
 
             if version == "v1":