[Bug Report] invalid isinf result

[hschoi4448]

Describe the bug A clear and concise description of what the bug is.

To Reproduce Steps to reproduce the behavior:

1. Copy and past below code

   
   # SPDX-FileCopyrightText: © 2023 Tenstorrent Inc.

SPDX-License-Identifier: Apache-2.0

import torch import pytest import tt_lib from tests.tt_eager.python_api_testing.unit_testing.backward_ops.utility_funcs import data_gen_pt_tt, compare_results

import ttnn from tests.tt_eager.python_api_testing.sweep_tests import pytorch_ops

def data_gen_pt_tt(input_shapes, device, required_grad=False, val=1): pt_tensor = (torch.ones(input_shapes, requires_grad=required_grad) * val).bfloat16() tt_tensor = ( tt_lib.tensor.Tensor(pt_tensor, tt_lib.tensor.DataType.BFLOAT16).to(tt_lib.tensor.Layout.TILE).to(device) ) return pt_tensor, tt_tensor

@pytest.mark.parametrize( "input_shapes", ( (torch.Size([1, 1, 32, 32])), ), ) def test1(input_shapes, device): val = float('inf') in_data, input_tensor = data_gen_pt_tt(input_shapes, device, True, val=val)

print("input_tensor", input_tensor)

golden_tensor = pytorch_ops.isinf(in_data)
tt_output_tensor_on_device = tt_lib.tensor.isinf(input_tensor)

print("tt_output_tensor_on_device", tt_output_tensor_on_device)
print("golden_tensor", golden_tensor)

2. Run with pytest
```Python
input_tensor ttnn.Tensor([[[[inf     , inf     ,  ..., inf     , inf     ],
               [inf     , inf     ,  ..., inf     , inf     ],
               ...,
               [inf     , inf     ,  ..., inf     , inf     ],
               [inf     , inf     ,  ..., inf     , inf     ]]]], shape=Shape([1, 1, 32, 32]), dtype=DataType::BFLOAT16, layout=Layout::TILE)
tt_output_tensor_on_device ttnn.Tensor([[[[ 0.00000,  0.00000,  ...,  0.00000,  0.00000],
               [ 0.00000,  0.00000,  ...,  0.00000,  0.00000],
               ...,
               [ 0.00000,  0.00000,  ...,  0.00000,  0.00000],
               [ 0.00000,  0.00000,  ...,  0.00000,  0.00000]]]], shape=Shape([1, 1, 32, 32]), dtype=DataType::BFLOAT16, layout=Layout::TILE)
golden_tensor tensor([[[[True, True, True,  ..., True, True, True],
          [True, True, True,  ..., True, True, True],
          [True, True, True,  ..., True, True, True],
          ...,
          [True, True, True,  ..., True, True, True],
          [True, True, True,  ..., True, True, True],
          [True, True, True,  ..., True, True, True]]]])

Expected behavior A clear and concise description of what you expected to happen.

Screenshots If applicable, add screenshots to help explain your problem.

Please complete the following environment information:

• OS: [e.g. Ubuntu 20.04]
• Version of software (eg. commit db6d456dbf2cb92be52179612a7264956ff1d286)
• Device: wormhole_b0

Additional context Add any other context about the problem here.

[umadevimcw]

@tt-aho @eyonland @jliangTT In WHB0 we are unable to check whether tensor is inf. The above issue is with respect to comparing the inf. For GS the some code works fine. Need input on this.

How to address this issue? or Can I close this issue considering the hardware limitations?

[umadevimcw]

@hschoi4448 @razorback3 https://github.com/tenstorrent/tt-metal/issues/8944, https://github.com/tenstorrent/tt-metal/issues/8945#issuecomment-2146247945, Please look at this comments for this issue

[VirdhatchaniKN]

This issue is now currently handled here : https://github.com/tenstorrent/tt-metal/issues/14077. Will be assigned to TT. Hence moving this to blocked