/home/dat/pino/lib/python3.8/site-packages/jax/_src/numpy/lax_numpy.py:3132: UserWarning: Explicitly requested dtype <class 'jax._src.numpy.lax_numpy.int64'> requested in zeros is not available, and will be truncated to dtype int32. To enable more dtypes, set the jax_enable_x64 configuration option or the JAX_ENABLE_X64 shell environment variable. See https://github.com/google/jax#current-gotchas for more.
  lax._check_user_dtype_supported(dtype, "zeros")
/home/dat/pino/lib/python3.8/site-packages/jax/lib/xla_bridge.py:386: UserWarning: jax.host_count has been renamed to jax.process_count. This alias will eventually be removed; please update your code.
  warnings.warn(
/home/dat/pino/lib/python3.8/site-packages/jax/lib/xla_bridge.py:373: UserWarning: jax.host_id has been renamed to jax.process_index. This alias will eventually be removed; please update your code.
  warnings.warn(
Epoch ... (1/5):   0%|                                                                      | 0/5 [00:00<?, ?it/s][22:29:35] - INFO - __main__ - Skipping to epoch 0 step 0
Training...:   0%|                                                                     | 0/503952 [01:24<?, ?it/s]
Epoch ... (1/5):   0%|                                                                      | 0/5 [09:07<?, ?it/s]
Traceback (most recent call last):
  File "./run_mlm_flax.py", line 804, in <module>
    state, train_metric, dropout_rngs = p_train_step(state, model_inputs, dropout_rngs)
  File "/home/dat/pino/lib/python3.8/site-packages/jax/_src/traceback_util.py", line 183, in reraise_with_filtered_traceback
    return fun(*args, **kwargs)
  File "/home/dat/pino/lib/python3.8/site-packages/jax/_src/api.py", line 1669, in f_pmapped
    out = pxla.xla_pmap(
  File "/home/dat/pino/lib/python3.8/site-packages/jax/core.py", line 1620, in bind
    return call_bind(self, fun, *args, **params)
  File "/home/dat/pino/lib/python3.8/site-packages/jax/core.py", line 1551, in call_bind
    outs = primitive.process(top_trace, fun, tracers, params)
  File "/home/dat/pino/lib/python3.8/site-packages/jax/core.py", line 1623, in process
    return trace.process_map(self, fun, tracers, params)
  File "/home/dat/pino/lib/python3.8/site-packages/jax/core.py", line 606, in process_call
    return primitive.impl(f, *tracers, **params)
  File "/home/dat/pino/lib/python3.8/site-packages/jax/interpreters/pxla.py", line 637, in xla_pmap_impl
    return compiled_fun(*args)
  File "/home/dat/pino/lib/python3.8/site-packages/jax/interpreters/pxla.py", line 1159, in execute_replicated
    out_bufs = compiled.execute_sharded_on_local_devices(input_bufs)
jax._src.traceback_util.UnfilteredStackTrace: RuntimeError: Resource exhausted: Attempting to reserve 12.60G at the bottom of memory. That was not possible. There are 5.86G free, 0B reserved, and 5.65G reservable.: while running replica 0 and partition 0 of a replicated computation (other replicas may have failed as well).
The stack trace below excludes JAX-internal frames.
The preceding is the original exception that occurred, unmodified.
--------------------
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
  File "./run_mlm_flax.py", line 804, in <module>
    state, train_metric, dropout_rngs = p_train_step(state, model_inputs, dropout_rngs)
  File "/home/dat/pino/lib/python3.8/site-packages/jax/interpreters/pxla.py", line 1159, in execute_replicated
    out_bufs = compiled.execute_sharded_on_local_devices(input_bufs)
RuntimeError: Resource exhausted: Attempting to reserve 12.60G at the bottom of memory. That was not possible. There are 5.86G free, 0B reserved, and 5.65G reservable.: while running replica 0 and partition 0 of a replicated computation (other replicas may have failed as well).