|
/home/dat/pino/lib/python3.8/site-packages/jax/lib/xla_bridge.py:382: 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:369: 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] |
|
Traceback (most recent call last): | 0/46383 [00:00<?, ?it/s] |
|
File "/usr/lib/python3.8/threading.py", line 932, in _bootstrap_inner |
|
self.run() |
|
File "/usr/lib/python3.8/threading.py", line 870, in run |
|
self._target(*self._args, **self._kwargs) |
|
File "/home/dat/pino/lib/python3.8/site-packages/wandb/sdk/wandb_run.py", line 183, in check_network_status |
|
status_response = self._interface.communicate_network_status() |
|
File "/home/dat/pino/lib/python3.8/site-packages/wandb/sdk/interface/interface.py", line 755, in communicate_network_status |
|
resp = self._communicate(req, timeout=timeout, local=True) |
|
File "/home/dat/pino/lib/python3.8/site-packages/wandb/sdk/interface/interface.py", line 545, in _communicate |
|
return self._communicate_async(rec, local=local).get(timeout=timeout) |
|
File "/home/dat/pino/lib/python3.8/site-packages/wandb/sdk/interface/interface.py", line 550, in _communicate_async |
|
raise Exception("The wandb backend process has shutdown") |
|
Exception: The wandb backend process has shutdown |
|
Training...: 0%| | 0/46383 [01:25<?, ?it/s] |
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Epoch ... (1/5): 0%| | 0/5 [02:13<?, ?it/s] |
|
Traceback (most recent call last): |
|
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 1647, 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 624, in xla_pmap_impl |
|
compiled_fun, fingerprint = parallel_callable(fun, backend, axis_name, axis_size, |
|
File "/home/dat/pino/lib/python3.8/site-packages/jax/linear_util.py", line 262, in memoized_fun |
|
ans = call(fun, *args) |
|
File "/home/dat/pino/lib/python3.8/site-packages/jax/interpreters/pxla.py", line 899, in parallel_callable |
|
compiled = xla.backend_compile(backend, built, compile_options) |
|
File "/home/dat/pino/lib/python3.8/site-packages/jax/interpreters/xla.py", line 360, in backend_compile |
|
return backend.compile(built_c, compile_options=options) |
|
RuntimeError: Resource exhausted: Ran out of memory in memory space hbm. Used 20.30G of 15.48G hbm. Exceeded hbm capacity by 4.82G. |
|
Total hbm usage >= 20.82G: |
|
reserved 530.00M |
|
program 20.30G |
|
arguments 0B |
|
Output size 0B; shares 0B with arguments. |
|
Program hbm requirement 20.30G: |
|
global 660.0K |
|
scoped 125.0K |
|
HLO temp 20.30G (63.5% utilization: Unpadded (12.44G) Padded (19.60G), 3.5% fragmentation (717.54M)) |
|
Largest program allocations in hbm: |
|
1. Size: 1.54G |
|
Operator: op_type="dot_general" op_name="pmap(train_step)/dot_general[ dimension_numbers=(((2,), (0,)), ((), ()))\n precision=None\n preferred_element_type=None ]" source_file="/home/dat/pino/lib/python3.8/site-packages/flax/linen/linear.py" source_line=175 |
|
Shape: bf16[4,4096,50358]{1,2,0:T(8,128)(2,1)} |
|
Unpadded size: 1.54G |
|
Extra memory due to padding: 64.0K (1.0x expansion) |
|
XLA label: %fusion.1304.remat4 = bf16[4,4096,50358]{1,2,0:T(8,128)(2,1)} fusion(bf16[50358,768]{1,0:T(8,128)(2,1)} %copy.16213, f32[768]{0:T(1024)} %fusion.8859, f32[768]{0:T(1024)} %fusion.8860, f32[4,4096]{1,0:T(4,128)} %get-tuple-element.16597, f32[4,4096]{1,0:T(4... |
|
Allocation type: HLO temp |
|
========================== |
|
2. Size: 360.00M |
|
Operator: op_type="div" op_name="pmap(train_step)/div" source_file="/home/dat/transformers/src/transformers/models/big_bird/modeling_flax_big_bird.py" source_line=619 |
|
Shape: bf16[4,12,60,64,512]{3,4,2,1,0:T(8,128)(2,1)} |
|
Unpadded size: 180.00M |
|
Extra memory due to padding: 180.00M (2.0x expansion) |
|
XLA label: %fusion.135 = bf16[4,12,60,64,512]{3,4,2,1,0:T(8,128)(2,1)} fusion(f32[4,12,60,64]{3,2,1,0:T(8,128)} %fusion.485, f32[4,12,60,64]{3,2,1,0:T(8,128)} %fusion.5710, f32[4,12,60,64,64]{3,4,2,1,0:T(8,128)} %get-tuple-element.16812, f32[4,12,60,64,192]{3,4,2,1,0... |
|
Allocation type: HLO temp |
|
========================== |
|
3. Size: 360.00M |
|
Operator: op_type="div" op_name="pmap(train_step)/div" source_file="/home/dat/transformers/src/transformers/models/big_bird/modeling_flax_big_bird.py" source_line=619 |
|
Shape: bf16[4,12,60,64,512]{3,4,2,1,0:T(8,128)(2,1)} |
|
Unpadded size: 180.00M |
|
Extra memory due to padding: 180.00M (2.0x expansion) |
|
XLA label: %fusion.144.remat = (bf16[4,12,60,64,512]{3,4,2,1,0:T(8,128)(2,1)}, bf16[4,12,60,64,512]{3,4,2,1,0:T(8,128)(2,1)}) fusion(f32[4,12,60,64]{3,2,1,0:T(8,128)} %fusion.494, f32[4,12,60,64]{3,2,1,0:T(8,128)} %fusion.5719, f32[4,12,60,64,64]{3,4,2,1,0:T(8,128)} ... |
|
Allocation type: HLO temp |
|
========================== |
|
4. Size: 360.00M |
|
Operator: op_type="div" op_name="pmap(train_step)/div" source_file="/home/dat/transformers/src/transformers/models/big_bird/modeling_flax_big_bird.py" source_line=619 |
|
Shape: bf16[4,12,60,64,512]{3,4,2,1,0:T(8,128)(2,1)} |
|
Unpadded size: 180.00M |
|
Extra memory due to padding: 180.00M (2.0x expansion) |
|
XLA label: %fusion.143.remat = (bf16[4,12,60,64,512]{3,4,2,1,0:T(8,128)(2,1)}, bf16[4,12,60,64,512]{3,4,2,1,0:T(8,128)(2,1)}) fusion(f32[4,12,60,64]{3,2,1,0:T(8,128)} %fusion.493, f32[4,12,60,64]{3,2,1,0:T(8,128)} %fusion.5718, f32[4,12,60,64,64]{3,4,2,1,0:T(8,128)} ... |
|
Allocation type: HLO temp |
|
========================== |
|
5. Size: 360.00M |
|
Operator: op_type="div" op_name="pmap(train_step)/div" source_file="/home/dat/transformers/src/transformers/models/big_bird/modeling_flax_big_bird.py" source_line=619 |
|
Shape: bf16[4,12,60,64,512]{3,4,2,1,0:T(8,128)(2,1)} |
|
Unpadded size: 180.00M |
|
Extra memory due to padding: 180.00M (2.0x expansion) |
|
XLA label: %fusion.142.remat = (bf16[4,12,60,64,512]{3,4,2,1,0:T(8,128)(2,1)}, bf16[4,12,60,64,512]{3,4,2,1,0:T(8,128)(2,1)}) fusion(f32[4,12,60,64]{3,2,1,0:T(8,128)} %fusion.492, f32[4,12,60,64]{3,2,1,0:T(8,128)} %fusion.5717, f32[4,12,60,64,64]{3,4,2,1,0:T(8,128)} ... |
|
Allocation type: HLO temp |
|
========================== |
|
6. Size: 360.00M |
|
Operator: op_type="div" op_name="pmap(train_step)/div" source_file="/home/dat/transformers/src/transformers/models/big_bird/modeling_flax_big_bird.py" source_line=619 |
|
Shape: bf16[4,12,60,64,512]{3,4,2,1,0:T(8,128)(2,1)} |
|
Unpadded size: 180.00M |
|
Extra memory due to padding: 180.00M (2.0x expansion) |
|
XLA label: %fusion.141.remat = (bf16[4,12,60,64,512]{3,4,2,1,0:T(8,128)(2,1)}, bf16[4,12,60,64,512]{3,4,2,1,0:T(8,128)(2,1)}) fusion(f32[4,12,60,64]{3,2,1,0:T(8,128)} %fusion.491, f32[4,12,60,64]{3,2,1,0:T(8,128)} %fusion.5716, f32[4,12,60,64,64]{3,4,2,1,0:T(8,128)} ... |
|
Allocation type: HLO temp |
|
========================== |
|
7. Size: 360.00M |
|
Shape: bf16[4,12,60,64,512]{3,4,2,1,0:T(8,128)(2,1)} |
|
Unpadded size: 180.00M |
|
Extra memory due to padding: 180.00M (2.0x expansion) |
|
XLA label: %fusion.134.remat_uncompressed = bf16[4,12,60,64,512]{3,4,2,1,0:T(8,128)(2,1)} copy(bf16[4,12,60,64,512]{4,3,2,1,0:T(8,128)(2,1)} %fusion.134.remat_compressed) |
|
Allocation type: HLO temp |
|
========================== |
|
8. Size: 360.00M |
|
Operator: op_type="div" op_name="pmap(train_step)/div" source_file="/home/dat/transformers/src/transformers/models/big_bird/modeling_flax_big_bird.py" source_line=619 |
|
Shape: bf16[4,12,60,64,512]{3,4,2,1,0:T(8,128)(2,1)} |
|
Unpadded size: 180.00M |
|
Extra memory due to padding: 180.00M (2.0x expansion) |
|
XLA label: %fusion.140.remat = (bf16[4,12,60,64,512]{3,4,2,1,0:T(8,128)(2,1)}, bf16[4,12,60,64,512]{3,4,2,1,0:T(8,128)(2,1)}) fusion(f32[4,12,60,64]{3,2,1,0:T(8,128)} %fusion.490, f32[4,12,60,64]{3,2,1,0:T(8,128)} %fusion.5715, f32[4,12,60,64,64]{3,4,2,1,0:T(8,128)} ... |
|
Allocation type: HLO temp |
|
========================== |
|
9. Size: 360.00M |
|
Operator: op_type="div" op_name="pmap(train_step)/div" source_file="/home/dat/transformers/src/transformers/models/big_bird/modeling_flax_big_bird.py" source_line=619 |
|
Shape: bf16[4,12,60,64,512]{3,4,2,1,0:T(8,128)(2,1)} |
|
Unpadded size: 180.00M |
|
Extra memory due to padding: 180.00M (2.0x expansion) |
|
XLA label: %fusion.139.remat = (bf16[4,12,60,64,512]{3,4,2,1,0:T(8,128)(2,1)}, bf16[4,12,60,64,512]{3,4,2,1,0:T(8,128)(2,1)}) fusion(f32[4,12,60,64]{3,2,1,0:T(8,128)} %fusion.489, f32[4,12,60,64]{3,2,1,0:T(8,128)} %fusion.5714, f32[4,12,60,64,64]{3,4,2,1,0:T(8,128)} ... |
|
Allocation type: HLO temp |
|
========================== |
|
10. Size: 360.00M |
|
Operator: op_type="div" op_name="pmap(train_step)/div" source_file="/home/dat/transformers/src/transformers/models/big_bird/modeling_flax_big_bird.py" source_line=619 |
|
Shape: bf16[4,12,60,64,512]{3,4,2,1,0:T(8,128)(2,1)} |
|
Unpadded size: 180.00M |
|
Extra memory due to padding: 180.00M (2.0x expansion) |
|
XLA label: %fusion.138.remat = (bf16[4,12,60,64,512]{3,4,2,1,0:T(8,128)(2,1)}, bf16[4,12,60,64,512]{3,4,2,1,0:T(8,128)(2,1)}) fusion(f32[4,12,60,64]{3,2,1,0:T(8,128)} %fusion.488, f32[4,12,60,64]{3,2,1,0:T(8,128)} %fusion.5713, f32[4,12,60,64,64]{3,4,2,1,0:T(8,128)} ... |
|
Allocation type: HLO temp |
|
========================== |
|
11. Size: 360.00M |
|
Operator: op_type="div" op_name="pmap(train_step)/div" source_file="/home/dat/transformers/src/transformers/models/big_bird/modeling_flax_big_bird.py" source_line=619 |
|
Shape: bf16[4,12,60,64,512]{3,4,2,1,0:T(8,128)(2,1)} |
|
Unpadded size: 180.00M |
|
Extra memory due to padding: 180.00M (2.0x expansion) |
|
XLA label: %fusion.137.remat = (bf16[4,12,60,64,512]{3,4,2,1,0:T(8,128)(2,1)}, bf16[4,12,60,64,512]{3,4,2,1,0:T(8,128)(2,1)}) fusion(f32[4,12,60,64]{3,2,1,0:T(8,128)} %fusion.487, f32[4,12,60,64]{3,2,1,0:T(8,128)} %fusion.5712, f32[4,12,60,64,64]{3,4,2,1,0:T(8,128)} ... |
|
Allocation type: HLO temp |
|
========================== |
|
12. Size: 360.00M |
|
Operator: op_type="div" op_name="pmap(train_step)/div" source_file="/home/dat/transformers/src/transformers/models/big_bird/modeling_flax_big_bird.py" source_line=619 |
|
Shape: bf16[4,12,60,64,512]{3,4,2,1,0:T(8,128)(2,1)} |
|
Unpadded size: 180.00M |
|
Extra memory due to padding: 180.00M (2.0x expansion) |
|
XLA label: %fusion.136.remat = (bf16[4,12,60,64,512]{3,4,2,1,0:T(8,128)(2,1)}, bf16[4,12,60,64,512]{3,4,2,1,0:T(8,128)(2,1)}) fusion(f32[4,12,60,64]{3,2,1,0:T(8,128)} %fusion.486, f32[4,12,60,64]{3,2,1,0:T(8,128)} %fusion.5711, f32[4,12,60,64,64]{3,4,2,1,0:T(8,128)} ... |
|
Allocation type: HLO temp |
|
========================== |
|
13. Size: 360.00M |
|
Shape: bf16[4,12,60,64,512]{3,4,2,1,0:T(8,128)(2,1)} |
|
Unpadded size: 180.00M |
|
Extra memory due to padding: 180.00M (2.0x expansion) |
|
XLA label: %fusion.133.remat_uncompressed = bf16[4,12,60,64,512]{3,4,2,1,0:T(8,128)(2,1)} copy(bf16[4,12,60,64,512]{4,3,2,1,0:T(8,128)(2,1)} %fusion.133.remat_compressed) |
|
Allocation type: HLO temp |
|
========================== |
|
14. Size: 270.00M |
|
Operator: op_type="dot_general" op_name="pmap(train_step)/jit(jvp(_einsum))/dot_general[ dimension_numbers=(((4,), (4,)), ((0, 1, 2), (0, 1, 2)))\n precision=None\n preferred_element_type=None ]" source_file="/home/dat/transformers/src/transformers/models/big_bird/modeling_flax_big_bird.py" source_line=584 |
|
Shape: f32[4,12,60,64,192]{3,4,2,1,0:T(8,128)} |
|
Unpadded size: 135.00M |
|
Extra memory due to padding: 135.00M (2.0x expansion) |
|
XLA label: %fusion.378.remat5 = f32[4,12,60,64,192]{3,4,2,1,0:T(8,128)} fusion(f32[4,60,64,192]{2,3,1,0:T(8,128)} %get-tuple-element.17038, bf16[4,12,64,64,64]{4,3,2,1,0:T(8,128)(2,1)} %copy.14428, bf16[4,12,60,192,64]{3,2,4,1,0:T(8,128)(2,1)} %fusion.655), kind=kOut... |
|
Allocation type: HLO temp |
|
========================== |
|
15. Size: 270.00M |
|
Shape: f32[4,12,60,64,192]{3,4,2,1,0:T(8,128)} |
|
Unpadded size: 135.00M |
|
Extra memory due to padding: 135.00M (2.0x expansion) |
|
XLA label: %fusion.310.remat_uncompressed = f32[4,12,60,64,192]{3,4,2,1,0:T(8,128)} copy(f32[4,12,60,64,192]{4,3,2,1,0:T(8,128)} %fusion.310.remat_compressed) |
|
Allocation type: HLO temp |
|
========================== |
|
16. Size: 270.00M |
|
Operator: op_type="dot_general" op_name="pmap(train_step)/jit(jvp(_einsum))/dot_general[ dimension_numbers=(((4,), (4,)), ((0, 1, 2), (0, 1, 2)))\n precision=None\n preferred_element_type=None ]" source_file="/home/dat/transformers/src/transformers/models/big_bird/modeling_flax_big_bird.py" source_line=584 |
|
Shape: f32[4,12,60,64,192]{3,4,2,1,0:T(8,128)} |
|
Unpadded size: 135.00M |
|
Extra memory due to padding: 135.00M (2.0x expansion) |
|
XLA label: %fusion.386.remat6 = f32[4,12,60,64,192]{3,4,2,1,0:T(8,128)} fusion(f32[4,60,64,192]{2,3,1,0:T(8,128)} %get-tuple-element.17038, bf16[4,12,64,64,64]{4,3,2,1,0:T(8,128)(2,1)} %copy.13900, bf16[4,12,60,192,64]{3,2,4,1,0:T(8,128)(2,1)} %fusion.639), kind=kOut... |
|
Allocation type: HLO temp |
|
========================== |
|
17. Size: 270.00M |
|
Shape: f32[4,12,60,64,192]{3,4,2,1,0:T(8,128)} |
|
Unpadded size: 135.00M |
|
Extra memory due to padding: 135.00M (2.0x expansion) |
|
XLA label: %fusion.326.remat_uncompressed.remat2 = f32[4,12,60,64,192]{3,4,2,1,0:T(8,128)} copy(f32[4,12,60,64,192]{4,3,2,1,0:T(8,128)} %fusion.326.remat_compressed) |
|
Allocation type: HLO temp |
|
========================== |
|
18. Size: 270.00M |
|
Operator: op_type="dot_general" op_name="pmap(train_step)/jit(jvp(_einsum))/dot_general[ dimension_numbers=(((4,), (4,)), ((0, 1, 2), (0, 1, 2)))\n precision=None\n preferred_element_type=None ]" source_file="/home/dat/transformers/src/transformers/models/big_bird/modeling_flax_big_bird.py" source_line=591 |
|
Shape: f32[4,12,60,64,192]{3,4,2,1,0:T(8,128)} |
|
Unpadded size: 135.00M |
|
Extra memory due to padding: 135.00M (2.0x expansion) |
|
XLA label: %fusion.10361 = (f32[4,12,60,64]{3,2,1,0:T(8,128)}, f32[4,12,60,64,192]{3,4,2,1,0:T(8,128)}) fusion(s32[4,12,62,64,192]{3,4,2,1,0:T(8,128)} %get-tuple-element.18295, bf16[4,12,64,64,64]{4,3,2,1,0:T(8,128)(2,1)} %copy.14494, bf16[4,12,60,192,64]{3,2,1,0,4:T... |
|
Allocation type: HLO temp |
|
========================== |
|
19. Size: 270.00M |
|
Operator: op_type="dot_general" op_name="pmap(train_step)/jit(jvp(_einsum))/dot_general[ dimension_numbers=(((4,), (4,)), ((0, 1, 2), (0, 1, 2)))\n precision=None\n preferred_element_type=None ]" source_file="/home/dat/transformers/src/transformers/models/big_bird/modeling_flax_big_bird.py" source_line=584 |
|
Shape: f32[4,12,60,64,192]{3,4,2,1,0:T(8,128)} |
|
Unpadded size: 135.00M |
|
Extra memory due to padding: 135.00M (2.0x expansion) |
|
XLA label: %fusion.380.remat5 = f32[4,12,60,64,192]{3,4,2,1,0:T(8,128)} fusion(f32[4,60,64,192]{2,3,1,0:T(8,128)} %get-tuple-element.17038, bf16[4,12,64,64,64]{4,3,2,1,0:T(8,128)(2,1)} %copy.14296, bf16[4,12,60,192,64]{3,2,4,1,0:T(8,128)(2,1)} %fusion.651), kind=kOut... |
|
Allocation type: HLO temp |
|
========================== |
|
20. Size: 270.00M |
|
Operator: op_type="dot_general" op_name="pmap(train_step)/jit(jvp(_einsum))/dot_general[ dimension_numbers=(((4,), (4,)), ((0, 1, 2), (0, 1, 2)))\n precision=None\n preferred_element_type=None ]" source_file="/home/dat/transformers/src/transformers/models/big_bird/modeling_flax_big_bird.py" source_line=584 |
|
Shape: f32[4,12,60,64,192]{3,4,2,1,0:T(8,128)} |
|
Unpadded size: 135.00M |
|
Extra memory due to padding: 135.00M (2.0x expansion) |
|
XLA label: %fusion.379.remat3 = f32[4,12,60,64,192]{3,4,2,1,0:T(8,128)} fusion(f32[4,60,64,192]{2,3,1,0:T(8,128)} %get-tuple-element.17038, bf16[4,12,64,64,64]{4,3,2,1,0:T(8,128)(2,1)} %copy.14362, bf16[4,12,60,192,64]{3,2,4,1,0:T(8,128)(2,1)} %fusion.653), kind=kOut... |
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Allocation type: HLO temp |
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========================== |
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During handling of the above exception, another exception occurred: |
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Traceback (most recent call last): |
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File "./run_mlm_flax.py", line 709, in <module> |
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state, train_metric, dropout_rngs = p_train_step(state, model_inputs, dropout_rngs) |
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File "/home/dat/pino/lib/python3.8/site-packages/jax/_src/traceback_util.py", line 183, in reraise_with_filtered_traceback |
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return fun(*args, **kwargs) |
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KeyboardInterrupt |
