TFDWConv() `depthwise_initializer` fix (#7845)

models/tf.py

@@ -97,7 +97,7 @@ class TFDWConv(keras.layers.Layer):
             strides=s,
             padding='SAME' if s == 1 else 'VALID',
             use_bias=not hasattr(w, 'bn'),
-            kernel_initializer=keras.initializers.Constant(w.conv.weight.permute(2, 3, 1, 0).numpy()),
+            depthwise_initializer=keras.initializers.Constant(w.conv.weight.permute(2, 3, 1, 0).numpy()),
             bias_initializer='zeros' if hasattr(w, 'bn') else keras.initializers.Constant(w.conv.bias.numpy()))
         self.conv = conv if s == 1 else keras.Sequential([TFPad(autopad(k, p)), conv])
         self.bn = TFBN(w.bn) if hasattr(w, 'bn') else tf.identity