Merge pull request #695 from google:raymondzou-llama2-70b-config

PiperOrigin-RevId: 643131869
google · Jun 13, 2024 · d6e332c · d6e332c
2 parents 8c11811 + f5ede57
commit d6e332c
Showing 1 changed file with 46 additions and 0 deletions.
diff --git a/MaxText/configs/v5e/llama2_70b.sh b/MaxText/configs/v5e/llama2_70b.sh
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+# Llama2 70B model.
+# This config will work out of the box for any number of v5e-256 slices.
+#
+# Command Flags:
+# OUTPUT_PATH (Required, unless base_output_directory is already set in base.yml)
+# DATASET_PATH (Required, unless dataset_path is already set in base.yml)
+# RUN_NAME (Required, unless run_name is already set in base.yml or running with XPK/GKE)
+# PLATFORM (Optional, can be "gke" or "gce", default is "gce")
+#
+# Example to invoke this script:
+# bash MaxText/configs/v5e/llama2_70b.sh RUN_NAME="<your_run_name>" OUTPUT_PATH="gs://<your_output_path>" DATASET_PATH="gs://<your_dataset_path>" PLATFORM="gke"
+#
+# Example to AOT compile:
+# bash MaxText/configs/v5e/llama2_70b.sh EXECUTABLE=train_compile.py M_COMPILE_TOPOLOGY=v5e-256 M_COMPILE_TOPOLOGY_NUM_SLICES=2
+
+
+# Stop execution if any command exits with error
+set -e
+
+export PLATFORM="gce" # Can be "gke" or "gce"
+export EXECUTABLE="train.py" # or train_compile.py
+
+# Set environment variables
+for ARGUMENT in "$@"; do
+ IFS='=' read -r KEY VALUE <<< "$ARGUMENT"
+ export "$KEY"="$VALUE"
+done
+
+# The setup accommodates two cases:
+# 1) Passing the 'RUN_NAME' variable at runtime
+# 2) Propagating the 'M_RUN_NAME' variable within an Airflow sweeping workflow
+if [ -n "$RUN_NAME" ];
+then
+ export M_RUN_NAME=$RUN_NAME
+fi
+
+# Set up network
+bash preflight.sh PLATFORM=$PLATFORM
+
+# Train
+export LIBTPU_INIT_ARGS="--xla_tpu_enable_data_parallel_all_reduce_opt=true --xla_tpu_data_parallel_opt_different_sized_ops=true --xla_tpu_enable_async_collective_fusion=true --xla_tpu_enable_async_collective_fusion_fuse_all_gather=true --xla_tpu_enable_async_collective_fusion_multiple_steps=true --xla_tpu_overlap_compute_collective_tc=true --xla_enable_async_all_gather=true"
+
+python MaxText/$EXECUTABLE MaxText/configs/base.yml model_name=llama2-70b\
+ base_output_directory=$OUTPUT_PATH dataset_path=${DATASET_PATH}\
+ tokenizer_path=assets/tokenizer.llama2 per_device_batch_size=2 remat_policy=qkv_proj_offloaded\
+ steps=30 enable_checkpointing=false