Project Name: EleutherAI+gpt-neox
Language: Python
Statement Type: Constant Assignment

Source Code:
def run_train_test(monkeypatch, overwrite_values: dict):
    max_train_iters = 32
    checkpoint_args = {"train_iters": max_train_iters}
    overwrite_values = checkpoint_args
    input_args = ["train.py", "tests/config/test_setup.yml"]
    deepspeed_main_args = simulate_deepy_env(monkeypatch, input_args)

    # Train model, whilst patching collect_loss_for_unit_test to track model loss at each step
    loss_per_iteration = []
    with patch(
        "megatron.training.collect_loss_for_unit_test",
        side_effect=lambda x: loss_per_iteration.append(x),
    ):
        train.main(input_args=deepspeed_main_args, overwrite_values=overwrite_values)
        assert (
            len(loss_per_iteration) == max_train_iters
        ), "patching should have collected loss values from each train step"

        # loss should have decreased by now (otherwise increasing the max_steps parameter could have the testcase pass)
        assert min(loss_per_iteration) < loss_per_iteration[0], (
            "training loss should improve within " + str(max_train_iters) + " steps"
        )

run_train_test(monkeypatch={_setattr=[], _setitem=[], _cwd=None, _savesyspath=None}, overwrite_values={'pos_emb': 'rpe'})

Selected Statement: max_train_iters = 32

Function Input:
monkeypatch: {_setattr=[], _setitem=[], _cwd=None, _savesyspath=None}
overwrite_values: pos_emb: rpe

Variable Values Before Statement:
Constant: 32

Value After Statement Execution: 32

Variable States During Runtime (line, value):
monkeypatch: 1
{_setattr=[], _setitem=[], _cwd=None, _savesyspath=None}
6
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overwrite_values: 1
pos_emb: rpe
4
train_iters: 32
14
{'train_iters': 32, 'train_batch_size': 4, 'train_micro_batch_size_per_gpu': 4, 'zero_optimization': {'stage': 0, 'allgather_partitions': True, 'reduce_scatter': True, 'allgather_bucket_size': 500000000, 'overlap_comm': False, 'reduce_bucket_size': 500000000, 'contiguous_gradients': False}}
max_train_iters: 2
32
checkpoint_args: 3
train_iters: 32
14
{'train_iters': 32, 'train_batch_size': 4, 'train_micro_batch_size_per_gpu': 4, 'zero_optimization': {'stage': 0, 'allgather_partitions': True, 'reduce_scatter': True, 'allgather_bucket_size': 500000000, 'overlap_comm': False, 'reduce_bucket_size': 500000000, 'contiguous_gradients': False}}
input_args: 5
train.py, tests/config/test_setup.yml
deepspeed_main_args: 6
--hostfile
None
--include
localhost:1
train.py
--deepspeed_config
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
--megatron_config
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
loss_per_iteration: 9