rixty
/
KoboldAI-Client
mirror of https://github.com/KoboldAI/KoboldAI-Client.git
1
1
Fork 0
Code Issues Projects Releases Wiki Activity

GPT2Tokenizer for TPU

This commit is contained in:
Henk 2022-09-27 18:33:31 +02:00
parent 60d09899ea
commit 6c32bc18d7
1 changed files with 9 additions and 9 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

18
tpu_mtj_backend.py
View File

@ -46,7 +46,7 @@ from jax.experimental import maps
import jax.numpy as jnp
import numpy as np
import haiku as hk
from transformers import AutoTokenizer, GPT2TokenizerFast, AutoModelForCausalLM, GPTNeoForCausalLM
from transformers import AutoTokenizer, GPT2Tokenizer, AutoModelForCausalLM, GPTNeoForCausalLM
from tokenizers import Tokenizer
from mesh_transformer.checkpoint import read_ckpt_lowmem
from mesh_transformer.transformer_shard import CausalTransformer, CausalTransformerShard, PlaceholderTensor
@ -1061,7 +1061,7 @@ def load_model(path: str, driver_version="tpu_driver0.1_dev20210607", hf_checkpo
"pe_rotary_dims": 64,
"seq": 2048,
"cores_per_replica": 8,
"tokenizer_class": "GPT2TokenizerFast",
"tokenizer_class": "GPT2Tokenizer",
"tokenizer": "gpt2",
}
params = kwargs
@ -1079,7 +1079,7 @@ def load_model(path: str, driver_version="tpu_driver0.1_dev20210607", hf_checkpo
"pe_rotary_dims": 24,
"seq": 2048,
"cores_per_replica": 8,
"tokenizer_class": "GPT2TokenizerFast",
"tokenizer_class": "GPT2Tokenizer",
"tokenizer": "gpt2",
}
@ -1357,9 +1357,9 @@ def load_model(path: str, driver_version="tpu_driver0.1_dev20210607", hf_checkpo
tokenizer = AutoTokenizer.from_pretrained(vars.custmodpth, revision=vars.revision, cache_dir="cache")
except Exception as e:
try:
tokenizer = GPT2TokenizerFast.from_pretrained(vars.custmodpth, revision=vars.revision, cache_dir="cache")
tokenizer = GPT2Tokenizer.from_pretrained(vars.custmodpth, revision=vars.revision, cache_dir="cache")
except Exception as e:
tokenizer = GPT2TokenizerFast.from_pretrained("gpt2", revision=vars.revision, cache_dir="cache")
tokenizer = GPT2Tokenizer.from_pretrained("gpt2", revision=vars.revision, cache_dir="cache")
try:
model = AutoModelForCausalLM.from_pretrained(vars.custmodpth, revision=vars.revision, cache_dir="cache")
except Exception as e:
@ -1372,9 +1372,9 @@ def load_model(path: str, driver_version="tpu_driver0.1_dev20210607", hf_checkpo
tokenizer = AutoTokenizer.from_pretrained("models/{}".format(vars.model.replace('/', '_')), revision=vars.revision, cache_dir="cache")
except Exception as e:
try:
tokenizer = GPT2TokenizerFast.from_pretrained("models/{}".format(vars.model.replace('/', '_')), revision=vars.revision, cache_dir="cache")
tokenizer = GPT2Tokenizer.from_pretrained("models/{}".format(vars.model.replace('/', '_')), revision=vars.revision, cache_dir="cache")
except Exception as e:
tokenizer = GPT2TokenizerFast.from_pretrained("gpt2", revision=vars.revision, cache_dir="cache")
tokenizer = GPT2Tokenizer.from_pretrained("gpt2", revision=vars.revision, cache_dir="cache")
try:
model = AutoModelForCausalLM.from_pretrained("models/{}".format(vars.model.replace('/', '_')), revision=vars.revision, cache_dir="cache")
except Exception as e:
@ -1387,9 +1387,9 @@ def load_model(path: str, driver_version="tpu_driver0.1_dev20210607", hf_checkpo
tokenizer = AutoTokenizer.from_pretrained(vars.model, revision=vars.revision, cache_dir="cache")
except Exception as e:
try:
tokenizer = GPT2TokenizerFast.from_pretrained(vars.model, revision=vars.revision, cache_dir="cache")
tokenizer = GPT2Tokenizer.from_pretrained(vars.model, revision=vars.revision, cache_dir="cache")
except Exception as e:
tokenizer = GPT2TokenizerFast.from_pretrained("gpt2", revision=vars.revision, cache_dir="cache")
tokenizer = GPT2Tokenizer.from_pretrained("gpt2", revision=vars.revision, cache_dir="cache")
try:
model = AutoModelForCausalLM.from_pretrained(vars.model, revision=vars.revision, cache_dir="cache")
except Exception as e: