83f536f82d8f6570749fef1660f83b662b9a87c3,cfg/process.py,,cfg_yielder,#Any#Any#,60

Before Change

	conv = ".conv." in weightf
	for i, d in enumerate(layers):
		
		if conv and i > last_convo: break
		if d["type"] == "[convolutional]":

			n = d.get("filters", 1)
			size = d.get("size", 1)

After Change

	for i, d in enumerate(layers):
		
		if d["type"] == "[crop]":
			yield ["crop"]

		if d["type"] == "[convolutional]":

			n = d.get("filters", 1)

Instances