Add support for int64 and bfloat16 types, improve tensor conversion s… #91
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pengcheng888
reviewed
Dec 2, 2025
| # -------------------------------------------------------------------------- # | ||
| start_time = time.time() | ||
| logits = self(**model_inputs) | ||
| # Ensure computation is complete - sync stream before reading logits |
pengcheng888
reviewed
Dec 2, 2025
| f" Time per step: decoder {round(sum(time_list[1:]) / (len(time_list) - 1), 2)} token/ms \n", | ||
| ) | ||
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| if len(time_list) > 0: |
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if len(time_list) > 1
pengcheng888
reviewed
Dec 2, 2025
| print( | ||
| f"\n\n\n Time per step: prefill {round(time_list[0], 2)} token/ms\n", | ||
| ) | ||
| if len(time_list) > 1: |
pengcheng888
reviewed
Dec 2, 2025
| element_size, np_dtype = dtype_info_map.get(infini_tensor_cpu.dtype, (4, np.float32)) | ||
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| # Use safer approach: allocate memory first, then copy | ||
| import ctypes |
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…afety
解决天数上推理的问题