[Bug Report] invalid isposinf 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.isposinf(in_data)
tt_output_tensor_on_device = tt_lib.tensor.isposinf(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.

[VirdhatchaniKN]

Hi @tt-aho @jliangTT @eyonland Same issue as mentioned in this issue https://github.com/tenstorrent-metal/tt-metal/issues/6725#issuecomment-2033848262

[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