  can help generate the best possible configuration, given a user's requirements. #}
  {%- set use_transformer = (transformer_data and hardware != "cpu") -%}
  {%- set transformer = transformer_data[optimize] if use_transformer else {} -%}
  [paths]
  train = ""
  dev = ""
  
  [system]
  {% if use_transformer -%}
  gpu_allocator = "pytorch"
  {% else -%}
 
</s> remove train = ""
dev = ""
 </s> add train = null
dev = null </s> remove train = ""
dev = ""
 </s> add train = null
dev = null </s> remove     assert nlp2.config["corpora"]["train"]["path"] == ""
 </s> add     assert nlp2.config["corpora"]["train"]["path"] is None </s> remove             nlp = util.load_model(init_path)
 </s> add             nlp = util.load_model(init_path).from_config(config) </s> remove     assert interpolated2["corpora"]["train"]["path"] == ""
 </s> add     assert interpolated2["corpora"]["train"]["path"] is None
train = null
dev = null
  can help generate the best possible configuration, given a user's requirements. #}
  {%- set use_transformer = (transformer_data and hardware != "cpu") -%}
  {%- set transformer = transformer_data[optimize] if use_transformer else {} -%}
  [paths]
train = null
dev = null
train = null
dev = null
  
  [system]
  {% if use_transformer -%}
  gpu_allocator = "pytorch"
  {% else -%}
keep keep keep keep replace replace keep keep keep keep keep
 Make corpus paths default to None and improve errors 
spacy/cli/templates/quickstart_training.jinja