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56 lines
2.0 KiB
56 lines
2.0 KiB
from argparse import ArgumentParser
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import torch
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from model.modeling_openmoe import OpenMoeForCausalLM, set_openmoe_args
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from transformers import T5Tokenizer
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from transformers.models.llama import LlamaConfig
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def parse_args():
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parser = ArgumentParser()
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parser.add_argument("--model", default="base", type=str, help="model path", choices=["base", "8b", "test"])
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return parser.parse_args()
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def inference(args):
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tokenizer = T5Tokenizer.from_pretrained("google/umt5-small")
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if args.model == "test":
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config = LlamaConfig.from_pretrained("hpcai-tech/openmoe-base")
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set_openmoe_args(
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config, num_experts=config.num_experts, moe_layer_interval=config.moe_layer_interval, enable_kernel=True
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)
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model = OpenMoeForCausalLM(config)
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else:
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config = LlamaConfig.from_pretrained(f"hpcai-tech/openmoe-{args.model}")
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set_openmoe_args(
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config, num_experts=config.num_experts, moe_layer_interval=config.moe_layer_interval, enable_kernel=False
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)
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model = OpenMoeForCausalLM.from_pretrained(f"hpcai-tech/openmoe-{args.model}", config=config)
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model = model.eval().bfloat16()
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model = model.to(torch.cuda.current_device())
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input_str = """```
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y = list(map(int, ['1', 'hello', '2']))
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```
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What error does this program produce?
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ValueError: invalid literal for int() with base 10: 'hello'
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```
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sum = 0
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for i in range(100):
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sum += i
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```
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What is the value of sum immediately after the 10th time line 3 is executed?"""
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# print("model config: ", model.config)
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input_ids = tokenizer("<pad>" + input_str, return_tensors="pt", add_special_tokens=False)
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input_ids = input_ids.input_ids.to(torch.cuda.current_device())
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generation_output = model.generate(input_ids, use_cache=True, do_sample=True, max_new_tokens=64)
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out = tokenizer.decode(generation_output[0], skip_special_tokens=False)
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print(f"output: \n{out}\n")
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if __name__ == "__main__":
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args = parse_args()
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inference(args)
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