[SW-0] Clean deprecated flags usage

Change-Id: I1c2e2460dc2072ba7b311f239441b304694918c8

Author: vivekgoe

docs/source/package_reference/gaudi_config.mdx

@@ -20,8 +20,8 @@ Here is a description of each configuration parameter:
 - `use_fused_adam` enables to decide whether to use the [custom fused implementation of the ADAM optimizer provided by Intel® Gaudi® AI Accelerator](https://docs.habana.ai/en/latest/PyTorch/Model_Optimization_PyTorch/Custom_Ops_PyTorch.html#custom-optimizers).
 - `use_fused_clip_norm` enables to decide whether to use the [custom fused implementation of gradient norm clipping provided by Intel® Gaudi® AI Accelerator](https://docs.habana.ai/en/latest/PyTorch/Model_Optimization_PyTorch/Custom_Ops_PyTorch.html#other-custom-ops).
 - `use_torch_autocast` enables PyTorch autocast; used to define good pre-defined config; users should favor `--bf16` training argument
-- `autocast_bf16_ops` list of operations that should be run with bf16 precision under autocast context; using environment flag LOWER_LIST is a preffered way for operator autocast list override
-- `autocast_fp32_ops` list of operations that should be run with fp32 precision under autocast context; using environment flag FP32_LIST is a preffered way for operator autocast list override
+- `autocast_bf16_ops` list of operations that should be run with bf16 precision under autocast context; using environment flag PT_HPU_AUTOCAST_LOWER_PRECISION_OPS_LIST is a preffered way for operator autocast list override
+- `autocast_fp32_ops` list of operations that should be run with fp32 precision under autocast context; using environment flag PT_HPU_AUTOCAST_FP32_OPS_LIST is a preffered way for operator autocast list override
 
 
 You can find examples of Gaudi configurations in the [Habana model repository on the Hugging Face Hub](https://huggingface.co/habana). For instance, [for BERT Large we have](https://huggingface.co/Habana/bert-large-uncased-whole-word-masking/blob/main/gaudi_config.json):

examples/language-modeling/README.md

@@ -404,7 +404,7 @@ python3 run_lora_clm.py \
 ```
 - Single-card finetuning of Falcon-40B:
 ```bash
-LOWER_LIST=ops_bf16.txt python3 run_lora_clm.py \
+PT_HPU_AUTOCAST_LOWER_PRECISION_OPS_LIST=ops_bf16.txt python3 run_lora_clm.py \
     --model_name_or_path tiiuae/falcon-40b \
     --dataset_name timdettmers/openassistant-guanaco \
     --bf16 True \
@@ -474,7 +474,7 @@ python ../gaudi_spawn.py \
 
 - Multi-card finetuning of Llama2-7B with FP8:
 ```bash
-LOWER_LIST=ops_bf16.txt python ../gaudi_spawn.py \
+PT_HPU_AUTOCAST_LOWER_PRECISION_OPS_LIST=ops_bf16.txt python ../gaudi_spawn.py \
 	--world_size 8 --use_mpi run_lora_clm.py \
 	--model_name_or_path meta-llama/Llama-2-7b-hf \
 	--dataset_name tatsu-lab/alpaca \
@@ -569,7 +569,7 @@ python ../gaudi_spawn.py \
 
 - Multi-card finetuning of Falcon-40B:
 ```bash
-LOWER_LIST=ops_bf16.txt python3 ../gaudi_spawn.py \
+PT_HPU_AUTOCAST_LOWER_PRECISION_OPS_LIST=ops_bf16.txt python3 ../gaudi_spawn.py \
     --world_size 8 --use_mpi run_lora_clm.py \
     --model_name_or_path tiiuae/falcon-40b \
     --dataset_name timdettmers/openassistant-guanaco \
@@ -647,7 +647,7 @@ python3 ../gaudi_spawn.py --use_deepspeed  --world_size 8  run_lora_clm.py \
 - Multi-card finetuning of Llama2-70B with FSDP and LoRA:
 
 ```bash
-LOWER_LIST=ops_bf16.txt PT_HPU_LAZY_MODE=0 \
+PT_HPU_AUTOCAST_LOWER_PRECISION_OPS_LIST=ops_bf16.txt PT_HPU_LAZY_MODE=0 \
 python3 ../gaudi_spawn.py --world_size 8 --use_mpi run_lora_clm.py \
   --model_name_or_path meta-llama/Llama-2-70b-hf \
   --dataset_name tatsu-lab/alpaca \
@@ -690,7 +690,7 @@ python3 ../gaudi_spawn.py --world_size 8 --use_mpi run_lora_clm.py \
   - Falcon-180B example command saves only the LoRA parameters at end
   - For inference we need to merge the pretrained model and LoRA weights
 ```bash
-DEEPSPEED_HPU_ZERO3_SYNC_MARK_STEP_REQUIRED=1 LOWER_LIST=ops_bf16.txt python3 ../gaudi_spawn.py \
+PT_HPU_AUTOCAST_LOWER_PRECISION_OPS_LIST=ops_bf16.txt python3 ../gaudi_spawn.py \
     --world_size 8 --use_deepspeed run_lora_clm.py \
     --model_name_or_path tiiuae/falcon-180B \
     --dataset_name timdettmers/openassistant-guanaco \

optimum/habana/transformers/gaudi_configuration.py

@@ -93,5 +93,5 @@ def declare_autocast_bf16_fp32_ops(self):
                     autocast_bf16_filename,
                     autocast_fp32_filename,
                 )
-                os.environ["LOWER_LIST"] = autocast_bf16_filename
-                os.environ["FP32_LIST"] = autocast_fp32_filename
+                os.environ["PT_HPU_AUTOCAST_LOWER_PRECISION_OPS_LIST"] = autocast_bf16_filename
+                os.environ["PT_HPU_AUTOCAST_FP32_OPS_LIST"] = autocast_fp32_filename

optimum/habana/transformers/trainer.py

@@ -252,7 +252,7 @@ def __init__(
                         "The argument `--bf16` was not given but `use_torch_autocast` is True in the Gaudi configuration so mixed-precision training with Torch Autocast is enabled."
                     )
 
-            if self.use_hpu_amp and "LOWER_LIST" not in os.environ:
+            if self.use_hpu_amp and "PT_HPU_AUTOCAST_LOWER_PRECISION_OPS_LIST" not in os.environ:
                 self.gaudi_config.declare_autocast_bf16_fp32_ops()
 
             if self.args.use_lazy_mode:

tests/test_examples.py

@@ -439,7 +439,7 @@ def test(self):
 
             env_variables = os.environ.copy()
             if "falcon" in model_name:
-                env_variables["LOWER_LIST"] = str(example_script.parent / "ops_bf16.txt")
+                env_variables["PT_HPU_AUTOCAST_LOWER_PRECISION_OPS_LIST"] = str(example_script.parent / "ops_bf16.txt")
             elif "flan" in model_name:
                 env_variables["PT_HPU_MAX_COMPOUND_OP_SIZE"] = "512"
             elif "bloom" in model_name:
@@ -450,13 +450,15 @@ def test(self):
                 env_variables["DEEPSPEED_HPU_ZERO3_SYNC_MARK_STEP_REQUIRED"] = "1"
             elif fsdp:
                 if "llama" in model_name:
-                    env_variables["LOWER_LIST"] = str(example_script.parent / "ops_bf16.txt")
+                    env_variables["PT_HPU_AUTOCAST_LOWER_PRECISION_OPS_LIST"] = str(
+                        example_script.parent / "ops_bf16.txt"
+                    )
                 env_variables["PT_HPU_LAZY_MODE"] = "0"
             elif deepspeed and "gpt-neox-20b" in model_name:
                 env_variables["LD_PRELOAD"] = ""
 
             if fp8 and "llama" in model_name:
-                env_variables["LOWER_LIST"] = str(example_script.parent / "ops_bf16.txt")
+                env_variables["PT_HPU_AUTOCAST_LOWER_PRECISION_OPS_LIST"] = str(example_script.parent / "ops_bf16.txt")
 
             extra_command_line_arguments = baseline.get("distribution").get(distribution).get("extra_arguments", [])