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34f1295349
Model config generator takes a PyTorch model as input and generates a JSON file with model layers and other propperties that define sharding on a particular hardware.
39 lines
1.3 KiB
Python
39 lines
1.3 KiB
Python
import json
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from collections import OrderedDict
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class GenerateConfigFile:
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def __init__(
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self,
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model,
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num_sharding_stages: int,
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sharding_stages_id: list[str] = None,
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):
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self.model = model
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self.num_sharding_stages = num_sharding_stages
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self.sharding_stages_id = sharding_stages_id
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assert self.num_sharding_stages == len(
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self.sharding_stages_id
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), "Number of sharding stages should be equal to the list of their ID"
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def generate_json(self):
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model_dictionary = dict()
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for name, m in self.model.named_modules():
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if name == "":
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continue
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# Remove non-leaf nodes from the config as they aren't an operation
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substring_before_final_period = name.split(".")[:-1]
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substring_before_final_period = ".".join(
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substring_before_final_period
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)
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if substring_before_final_period in model_dictionary:
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del model_dictionary[substring_before_final_period]
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layer_dict = {n: "None" for n in self.sharding_stages_id}
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model_dictionary[name] = layer_dict
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with open("model_config.json", "w") as outfile:
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json.dump(model_dictionary, outfile)
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