[tensorboard] Handle bfloat16 type in add_histogram (#120087)
Summary:
add_histogram fails for this data type. Updating conversion code to handle it.
Stack trace for the failure -
`
[trainer0]Traceback (most recent call last):
[trainer0] File "<torch_package_0>.tensorboard/logging/summary_v2.py", line 203, in unscriptable_record_summary
[trainer0] unscriptable_histogram(name, t, step, ranks)
[trainer0] File "<torch_package_0>.tensorboard/logging/fx_v1.py", line 146, in unscriptable_histogram
[trainer0] Adhoc.writer().add_histogram(tag, x, step.int())
[trainer0] File "/tmp/aienv/images/aienv_image_09slg3j1/torch/utils/tensorboard/writer.py", line 40, in wrapper
[trainer0] resp = super_method(*args, **kwargs)
[trainer0] File "/tmp/aienv/images/aienv_image_09slg3j1/torch/utils/tensorboard/writer_oss.py", line 526, in add_histogram
[trainer0] histogram(tag, values, bins, max_bins=max_bins), global_step, walltime
[trainer0] File "/tmp/aienv/images/aienv_image_09slg3j1/torch/utils/tensorboard/summary.py", line 482, in histogram
[trainer0] values = make_np(values)
[trainer0] File "/tmp/aienv/images/aienv_image_09slg3j1/torch/utils/tensorboard/_convert_np.py", line 23, in make_np
[trainer0] return _prepare_pytorch(x)
[trainer0] File "/tmp/aienv/images/aienv_image_09slg3j1/torch/utils/tensorboard/_convert_np.py", line 30, in _prepare_pytorch
[trainer0] x = x.detach().cpu().numpy()
[trainer0]TypeError: Got unsupported ScalarType BFloat16
`
Test Plan: Updated unit test that was failing before but passes after this change.
Reviewed By: hamzajzmati, jcarreiro
Differential Revision: D53841197
Pull Request resolved: https://github.com/pytorch/pytorch/pull/120087
Approved by: https://github.com/jcarreiro, https://github.com/yanboliang
