split on second dimension of 2D array not working with XLA_DISABLE_FUNCTIONALIZATION=1 · Issue #8640 · pytorch/xla (original) (raw)

🐛 Bug

When running a small example to split 2D array in the second dimension, the resulting tensors don't have the expected data. The results are different between CPU and XLA-CPU.

To Reproduce

Run. the follow test:

import torch
import torch_xla

a_golden = torch.arange(12, device="cpu").reshape(3, 4)
b_golden, c_golden = a_golden.split([3, 1], dim=-1)
a_xla = torch.arange(12, device="xla").reshape(3, 4)
b_xla, c_xla = a_xla.split([3, 1], dim=-1)

print("a original:", a_golden)
print("b golden :", b_golden)
print("b xla :", b_xla)
print("c golden :", c_golden)
print("c xla :", c_xla)

torch.testing.assert_close(b_golden, b_xla.cpu(), rtol=0, atol=0)
torch.testing.assert_close(c_golden, c_xla.cpu(), rtol=0, atol=0)

Save as test_split.py and run:

PJRT_DEVICE=CPU python test_split.py

WARNING:torch_neuron:RANK environment variable is not set, defaulting to 0.
WARNING:torch_neuron:LOCAL RANK environment variable is not set to 0, defaulting to 0.
a original: tensor([[ 0,  1,  2,  3],
        [ 4,  5,  6,  7],
        [ 8,  9, 10, 11]])
b golden : tensor([[ 0,  1,  2],
        [ 4,  5,  6],
        [ 8,  9, 10]])
b xla : tensor([[0, 1, 2],
        [3, 4, 5],
        [6, 7, 8]], device='xla:0')
c golden : tensor([[ 3],
        [ 7],
        [11]])
c xla : tensor([[3],
        [4],
        [5]], device='xla:0')
Traceback (most recent call last):
  File "/home/ubuntu/transformers/examples/pytorch/text-classification/test_split.py", line 15, in <module>
    torch.testing.assert_close(b_golden, b_xla.cpu(), rtol=0, atol=0)
  File "/home/ubuntu/aws_neuron_venv_pt26/lib/python3.10/site-packages/torch/testing/_comparison.py", line 1530, in assert_close
    raise error_metas[0].to_error(msg)
AssertionError: Tensor-likes are not equal!

Mismatched elements: 6 / 9 (66.7%)
Greatest absolute difference: 2 at index (2, 0)
Greatest relative difference: 0.3333333432674408 at index (1, 0)

Expected behavior

XLA CPU result should match CPU results

Environment

• Reproducible on XLA backend [CPU/TPU/CUDA]: CPU
• torch_xla version: 2.6 (also 2.1)

Additional context