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

The acos function returns an invalid value.

To Reproduce Steps to reproduce the behavior:

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 = 90 in_data, input_tensor = data_gen_pt_tt(input_shapes, device, True, val=val)

print("input_tensor", input_tensor)

golden_tensor = pytorch_ops.acos(in_data)
tt_output_tensor_on_device = tt_lib.tensor.acos(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([[[[90.00000, 90.00000,  ..., 90.00000, 90.00000],
               [90.00000, 90.00000,  ..., 90.00000, 90.00000],
               ...,
               [90.00000, 90.00000,  ..., 90.00000, 90.00000],
               [90.00000, 90.00000,  ..., 90.00000, 90.00000]]]], shape=Shape([1, 1, 32, 32]), dtype=DataType::BFLOAT16, layout=Layout::TILE)
tt_output_tensor_on_device ttnn.Tensor([[[[-70039981404865953792.00000, -70039981404865953792.00000,  ..., -70039981404865953792.00000, -70039981404865953792.00000],
               [-70039981404865953792.00000, -70039981404865953792.00000,  ..., -70039981404865953792.00000, -70039981404865953792.00000],
               ...,
               [-70039981404865953792.00000, -70039981404865953792.00000,  ..., -70039981404865953792.00000, -70039981404865953792.00000],
               [-70039981404865953792.00000, -70039981404865953792.00000,  ..., -70039981404865953792.00000, -70039981404865953792.00000]]]], shape=Shape([1, 1, 32, 32]), dtype=DataType::BFLOAT16, layout=Layout::TILE)
golden_tensor tensor([[[[nan, nan, nan,  ..., nan, nan, nan],
          [nan, nan, nan,  ..., nan, nan, nan],
          [nan, nan, nan,  ..., nan, nan, nan],
          ...,
          [nan, nan, nan,  ..., nan, nan, nan],
          [nan, nan, nan,  ..., nan, nan, nan],
          [nan, nan, nan,  ..., nan, nan, nan]]]], dtype=torch.bfloat16,
       grad_fn=<AcosBackward0>)
PASSED

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

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Please complete the following environment information:

OS: [e.g. Ubuntu 20.04]
Version of software (eg. commit 2e5b96fae39079e7d120accec7b5f81c34f3924f)
Device: wormhole_b0

Additional context Add any other context about the problem here.

tenstorrent / tt-metal

[Bug Report] invalid acos result #6723

SPDX-License-Identifier: Apache-2.0