Gpt past_key_values
WebMar 28, 2024 · Always having two keys allows you to securely rotate and regenerate keys without causing a service disruption. Then you need to create and assign persistent environment variables for your key and endpoint before you run the line - openai.api_key = os.getenv ("OPENAI_API_KEY") You need to save it to your Environment variables, … Webpast_key_values (tuple(tuple(torch.FloatTensor)), optional, returned when use_cache=True is passed or when config.use_cache=True) — Tuple of tuple(torch.FloatTensor) of length …
Gpt past_key_values
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WebApr 6, 2024 · from transformers import GPT2LMHeadModel, GPT2Tokenizer import torch import torch.nn as nn import time import numpy as np device = "cuda" if torch.cuda.is_available () else "cpu" output_lens = [50, 100, 200, 300, 400, 500, 600, 700, 800, 900, 1000] bsz = 1 print (f"Device used: {device}") tokenizer = … Webthe past key values. def forward (self, input_ids, attention_mask, encoder_output, past_key_values): I was wondering what conceptually the past keys values were and …
WebJan 12, 2024 · The first position following the 'x' has several possible values equating to things such as denoting the partition is a shadow, or a basic data partition; these all … Web" Past_key_values contains precomputed key and value hidden states of the attention blocks. Can be used to speed up decoding." songanddanceman • 1 yr. ago Could you elaborate on what is the conceptual reason for including "precomputed key and value hidden states of the attention blocks"
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