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compute_environment: LOCAL_MACHINE | |
debug: false | |
distributed_type: FSDP | |
downcast_bf16: 'no' | |
enable_cpu_affinity: false | |
fsdp_config: | |
fsdp_activation_checkpointing: false | |
fsdp_auto_wrap_policy: TRANSFORMER_BASED_WRAP | |
fsdp_cpu_ram_efficient_loading: true | |
fsdp_offload_params: false |
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from transformers import AutoModelForCausalLM | |
from accelerate import Accelerator | |
import torch | |
torch.cuda.memory._record_memory_history() | |
model_id = "meta-llama/Meta-Llama-3-8B-Instruct" | |
accelerator = Accelerator() | |
model = AutoModelForCausalLM.from_pretrained(model_id) |
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import torch | |
def print_test_end(): | |
print("---------------") | |
def test_vectors_bwd(): | |
print("TEST VECTORS BTW") | |
a = torch.tensor([[1.0, -2.0, 3.0]], requires_grad=True) |