Fixing src. bugs

erfanzar · Oct 2, 2023 · 6f57394 · 6f57394
1 parent cc83767
commit 6f57394
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Showing 20 changed files with 34 additions and 34 deletions.
diff --git a/examples/serving/causal-lm/llama-2-chat.py b/examples/serving/causal-lm/llama-2-chat.py
@@ -2,7 +2,7 @@
 import jax.lax
 from EasyDel import JAXServer
 from fjutils import get_float_dtype_by_name
-from src.EasyDel.transform import llama_from_pretrained
+from EasyDel.transform import llama_from_pretrained
 from transformers import AutoTokenizer
 import gradio as gr
 

diff --git a/examples/serving/causal-lm/llama.py b/examples/serving/causal-lm/llama.py
@@ -1,6 +1,6 @@
 import absl.app
 from transformers import AutoTokenizer
-from src.EasyDel.serve import JAXServer
+from EasyDel.serve import JAXServer
 import EasyDel
 from absl import flags
 
@@ -108,7 +108,7 @@
 
 
 def main(argv):
-    conf = src.EasyDel.configs.configs.llama_configs[FLAGS.model_type]
+    conf = EasyDel.configs.configs.llama_configs[FLAGS.model_type]
     config = EasyDel.LlamaConfig(**conf, rotary_type=FLAGS.rotary_type)
     config.use_flash_attention = FLAGS.use_flash_attention
     config.use_sacn_mlp = FLAGS.use_sacn_mlp

diff --git a/examples/training/causal-lm/falcon.py b/examples/training/causal-lm/falcon.py
@@ -1,4 +1,4 @@
-from src.EasyDel import TrainArguments, CausalLMTrainer
+from EasyDel import TrainArguments, CausalLMTrainer
 from datasets import load_dataset
 from huggingface_hub import HfApi
 from src import EasyDel
@@ -159,7 +159,7 @@ def main(argv):
         config.use_flash_attention = FLAGS.use_flash_attention
         config.use_sacn_mlp = FLAGS.use_sacn_mlp
     else:
-        conf = src.EasyDel.configs.configs.falcon_configs[FLAGS.model_type]
+        conf = EasyDel.configs.configs.falcon_configs[FLAGS.model_type]
         config = EasyDel.FalconConfig(**conf, rotary_type=FLAGS.rotary_type)
         config.use_flash_attention = FLAGS.use_flash_attention
         config.use_sacn_mlp = FLAGS.use_sacn_mlp

diff --git a/examples/training/causal-lm/gpt-j.py b/examples/training/causal-lm/gpt-j.py
@@ -159,7 +159,7 @@ def main(argv):
         config.use_flash_attention = FLAGS.use_flash_attention
         config.use_sacn_mlp = FLAGS.use_sacn_mlp
     else:
-        conf = src.EasyDel.configs.configs.gptj_configs[FLAGS.model_type]
+        conf = EasyDel.configs.configs.gptj_configs[FLAGS.model_type]
         config = EasyDel.GPTJConfig(**conf, rotary_type=FLAGS.rotary_type)
         config.use_flash_attention = FLAGS.use_flash_attention
         config.use_sacn_mlp = FLAGS.use_sacn_mlp

diff --git a/examples/training/causal-lm/llama.py b/examples/training/causal-lm/llama.py
@@ -1,8 +1,8 @@
 import flax.core
 
-from src.EasyDel import llama_from_pretrained
+from EasyDel import llama_from_pretrained
 
-from src.EasyDel import TrainArguments, CausalLMTrainer
+from EasyDel import TrainArguments, CausalLMTrainer
 from datasets import load_dataset
 from huggingface_hub import HfApi
 from src import EasyDel

diff --git a/examples/training/causal-lm/mpt.py b/examples/training/causal-lm/mpt.py
@@ -1,4 +1,4 @@
-from src.EasyDel import TrainArguments, CausalLMTrainer
+from EasyDel import TrainArguments, CausalLMTrainer
 from datasets import load_dataset
 from huggingface_hub import HfApi
 from src import EasyDel
@@ -159,7 +159,7 @@ def main(argv):
         config.use_flash_attention = FLAGS.use_flash_attention
         config.use_sacn_mlp = FLAGS.use_sacn_mlp
     else:
-        conf = src.EasyDel.configs.configs.mpt_configs[FLAGS.model_type]
+        conf = EasyDel.configs.configs.mpt_configs[FLAGS.model_type]
         config = EasyDel.MptConfig(**conf, rotary_type=FLAGS.rotary_type)
         config.use_flash_attention = FLAGS.use_flash_attention
         config.use_sacn_mlp = FLAGS.use_sacn_mlp

diff --git a/lib/python/EasyDel/configs/get_model_attr.py b/lib/python/EasyDel/configs/get_model_attr.py
@@ -1,9 +1,9 @@
 import logging
 
-from src.EasyDel import FlaxLlamaForCausalLM, FlaxMptForCausalLM, FlaxGPTJForCausalLM, FlaxGPTNeoXForCausalLM, \
+from EasyDel import FlaxLlamaForCausalLM, FlaxMptForCausalLM, FlaxGPTJForCausalLM, FlaxGPTNeoXForCausalLM, \
     FlaxT5ForConditionalGeneration, FlaxOPTForCausalLM, FlaxFalconForCausalLM
 
-from src.EasyDel.configs.configs import llama_2_configs, gptj_configs, mpt_configs, opt_configs, falcon_configs, \
+from EasyDel.configs.configs import llama_2_configs, gptj_configs, mpt_configs, opt_configs, falcon_configs, \
     llama_configs
 
 logger = logging.getLogger()

diff --git a/lib/python/EasyDel/rlhf/utils.py b/lib/python/EasyDel/rlhf/utils.py
@@ -4,7 +4,7 @@
 from einops import rearrange
 from typing import Union, Optional, List
 
-from src.EasyDel import FlaxMptForCausalLM, FlaxLlamaForCausalLM, MptConfig, LlamaConfig
+from EasyDel import FlaxMptForCausalLM, FlaxLlamaForCausalLM, MptConfig, LlamaConfig
 
 
 # Converted from Pytorch To jax from LudicRrain Guy :)

diff --git a/lib/python/EasyDel/serve/serve_utils.py b/lib/python/EasyDel/serve/serve_utils.py
@@ -25,12 +25,12 @@
 from fjutils import get_float_dtype_by_name
 from jax.sharding import Mesh, PartitionSpec as Ps
 from transformers import GenerationConfig, TextIteratorStreamer
-from src.EasyDel.serve import seafoam
+from EasyDel.serve import seafoam
 import logging
-from src.EasyDel.utils import RNG
+from EasyDel.utils import RNG
 import multiprocessing as mp
 import torch
-from src.EasyDel.utils import prefix_str
+from EasyDel.utils import prefix_str
 
 pjit = pjit.pjit
 

diff --git a/lib/python/EasyDel/trainer/fsdp_train.py b/lib/python/EasyDel/trainer/fsdp_train.py
@@ -9,21 +9,21 @@
 import wandb
 from datasets import Dataset
 
-from src.EasyDel.trainer.config import TrainArguments
+from EasyDel.trainer.config import TrainArguments
 
 import jax
 import flax
 from transformers import FlaxAutoModelForCausalLM, AutoConfig
 from tqdm import tqdm
-from src.EasyDel.utils import Timers
+from EasyDel.utils import Timers
 from EasyDel.smi import initialise_tracking, get_mem
 from jax.experimental.pjit import pjit, with_sharding_constraint
 from jax.sharding import PartitionSpec
 from flax.training import train_state
 from jax import numpy as jnp
 from torch.utils.data import DataLoader
 from fjutils import match_partition_rules, make_shard_and_gather_fns, StreamingCheckpointer, count_params
-from src.EasyDel.utils import prefix_print
+from EasyDel.utils import prefix_print
 
 
 def calculate_accuracy(predictions: jax.Array, targets: jax.Array):

diff --git a/lib/python/EasyDel/trainer/training_utils.py b/lib/python/EasyDel/trainer/training_utils.py
@@ -2,14 +2,14 @@
 import os
 import typing
 
-from src.EasyDel.trainer.config import TrainArguments
+from EasyDel.trainer.config import TrainArguments
 
 import jax
 import flax
 import optax
 from transformers import FlaxAutoModelForCausalLM, AutoConfig
 from jax.sharding import PartitionSpec
-from src.EasyDel.utils import Timers
+from EasyDel.utils import Timers
 
 from jax.experimental.pjit import pjit, with_sharding_constraint
 from flax.training import train_state

diff --git a/lib/python/EasyDel/transform/falcon.py b/lib/python/EasyDel/transform/falcon.py
@@ -2,7 +2,7 @@
 from jax import numpy as jnp
 from tqdm import tqdm
 from transformers import FalconForCausalLM
-from src.EasyDel.modules.falcon import FalconConfig
+from EasyDel.modules.falcon import FalconConfig
 
 
 def falcon_from_pretrained(model_id, device=jax.devices('cpu')[0]):

diff --git a/lib/python/EasyDel/transform/llama.py b/lib/python/EasyDel/transform/llama.py
@@ -4,7 +4,7 @@
 import jax
 import torch
 from transformers import LlamaForCausalLM
-from src.EasyDel.modules.llama import LlamaConfig
+from EasyDel.modules.llama import LlamaConfig
 
 
 def llama_convert_hf_to_flax_load(checkpoints_dir, num_hidden_layers=32, num_attention_heads=32, hidden_size=4096,

diff --git a/lib/python/EasyDel/transform/mpt.py b/lib/python/EasyDel/transform/mpt.py
@@ -1,4 +1,4 @@
-from src.EasyDel import MptConfig, FlaxMptForCausalLM
+from EasyDel import MptConfig, FlaxMptForCausalLM
 from jax import numpy as jnp
 import jax
 import torch

diff --git a/lib/python/examples/serving/causal-lm/llama-2-chat.py b/lib/python/examples/serving/causal-lm/llama-2-chat.py
@@ -2,7 +2,7 @@
 import jax.lax
 from EasyDel import JAXServer
 from fjutils import get_float_dtype_by_name
-from src.EasyDel.transform import llama_from_pretrained
+from EasyDel.transform import llama_from_pretrained
 from transformers import AutoTokenizer
 import gradio as gr
 

diff --git a/lib/python/examples/serving/causal-lm/llama.py b/lib/python/examples/serving/causal-lm/llama.py
@@ -1,6 +1,6 @@
 import absl.app
 from transformers import AutoTokenizer
-from src.EasyDel.serve import JAXServer
+from EasyDel.serve import JAXServer
 import EasyDel
 from absl import flags
 
@@ -108,7 +108,7 @@
 
 
 def main(argv):
-    conf = src.EasyDel.configs.configs.llama_configs[FLAGS.model_type]
+    conf = EasyDel.configs.configs.llama_configs[FLAGS.model_type]
     config = EasyDel.LlamaConfig(**conf, rotary_type=FLAGS.rotary_type)
     config.use_flash_attention = FLAGS.use_flash_attention
     config.use_sacn_mlp = FLAGS.use_sacn_mlp

diff --git a/lib/python/examples/training/causal-lm/falcon.py b/lib/python/examples/training/causal-lm/falcon.py
@@ -1,4 +1,4 @@
-from src.EasyDel import TrainArguments, CausalLMTrainer
+from EasyDel import TrainArguments, CausalLMTrainer
 from datasets import load_dataset
 from huggingface_hub import HfApi
 from src import EasyDel
@@ -159,7 +159,7 @@ def main(argv):
         config.use_flash_attention = FLAGS.use_flash_attention
         config.use_sacn_mlp = FLAGS.use_sacn_mlp
     else:
-        conf = src.EasyDel.configs.configs.falcon_configs[FLAGS.model_type]
+        conf = EasyDel.configs.configs.falcon_configs[FLAGS.model_type]
         config = EasyDel.FalconConfig(**conf, rotary_type=FLAGS.rotary_type)
         config.use_flash_attention = FLAGS.use_flash_attention
         config.use_sacn_mlp = FLAGS.use_sacn_mlp

diff --git a/lib/python/examples/training/causal-lm/gpt-j.py b/lib/python/examples/training/causal-lm/gpt-j.py
@@ -159,7 +159,7 @@ def main(argv):
         config.use_flash_attention = FLAGS.use_flash_attention
         config.use_sacn_mlp = FLAGS.use_sacn_mlp
     else:
-        conf = src.EasyDel.configs.configs.gptj_configs[FLAGS.model_type]
+        conf = EasyDel.configs.configs.gptj_configs[FLAGS.model_type]
         config = EasyDel.GPTJConfig(**conf, rotary_type=FLAGS.rotary_type)
         config.use_flash_attention = FLAGS.use_flash_attention
         config.use_sacn_mlp = FLAGS.use_sacn_mlp

diff --git a/lib/python/examples/training/causal-lm/llama.py b/lib/python/examples/training/causal-lm/llama.py
@@ -1,8 +1,8 @@
 import flax.core
 
-from src.EasyDel import llama_from_pretrained
+from EasyDel import llama_from_pretrained
 
-from src.EasyDel import TrainArguments, CausalLMTrainer
+from EasyDel import TrainArguments, CausalLMTrainer
 from datasets import load_dataset
 from huggingface_hub import HfApi
 from src import EasyDel

diff --git a/lib/python/examples/training/causal-lm/mpt.py b/lib/python/examples/training/causal-lm/mpt.py
@@ -1,4 +1,4 @@
-from src.EasyDel import TrainArguments, CausalLMTrainer
+from EasyDel import TrainArguments, CausalLMTrainer
 from datasets import load_dataset
 from huggingface_hub import HfApi
 from src import EasyDel
@@ -159,7 +159,7 @@ def main(argv):
         config.use_flash_attention = FLAGS.use_flash_attention
         config.use_sacn_mlp = FLAGS.use_sacn_mlp
     else:
-        conf = src.EasyDel.configs.configs.mpt_configs[FLAGS.model_type]
+        conf = EasyDel.configs.configs.mpt_configs[FLAGS.model_type]
         config = EasyDel.MptConfig(**conf, rotary_type=FLAGS.rotary_type)
         config.use_flash_attention = FLAGS.use_flash_attention
         config.use_sacn_mlp = FLAGS.use_sacn_mlp