Investigate and fix BH ttnn unit test failures

[bbradelTT]

TTNN unit tests were run on BH.
https://github.com/tenstorrent/tt-metal/actions/runs/13578665690

The following tests failed:

tests/ttnn/unit_tests/test_concat_issue.py::test_5d_concat_tile[layout=Layout.TILE]
tests/ttnn/unit_tests/operations/test_bernoulli.py::test_bernoulli[is_out_alloc=True-out_dtype=bfloat16-in_dtype=bfloat16-seed=6296-shape=[2003]]
tests/ttnn/unit_tests/operations/test_maxpool2d.py::test_run_max_pool_width_shard[ceil_mode=False-dtype=DataType.BFLOAT16-dilation=(1, 1)-stride=(1, 1)-padding=(0, 0)-kernel_size=(2, 2)-act_shape=[1, 6144, 6, 6]-device_params={'l1_small_size': 24576}]
tests/ttnn/unit_tests/operations/test_maxpool2d.py::test_run_max_pool_width_shard[ceil_mode=False-dtype=DataType.BFLOAT16-dilation=(1, 1)-stride=(1, 1)-padding=(4, 4)-kernel_size=(9, 9)-act_shape=[1, 6144, 6, 6]-device_params={'l1_small_size': 24576}]
tests/ttnn/unit_tests/operations/test_moreh_sum.py::test_moreh_sum_integer[int32-dim-h-2, 2, 3, TILE_HEIGHT * 8, TILE_WIDTH * 8]
tests/ttnn/unit_tests/operations/test_reallocate.py::test_reallocate_sharded[input_shape=[1, 1, 4, 34]-core_grid=ttnn.CoreGrid(x=1, y=1)-strategy=ShardStrategy.BLOCK-layout=Layout.ROW_MAJOR]
tests/ttnn/unit_tests/operations/eltwise/test_binary_bcast.py::test_binary_scalar_ops[ttnn_fn=div-activations=(('LOG',), (), ('ABS', 'SQRT'))-a_shape=torch.Size([5, 1, 64, 1])-b_shape=torch.Size([1, 3, 1, 128])]
tests/ttnn/unit_tests/operations/eltwise/test_composite.py::test_unary_composite_round_ttnn[input_shapes=torch.Size([1, 1, 32, 32])]

PCC Error:
ttnn group 1 tests: tests/ttnn/unit_tests/test_concat_issue.py#L22

test_5d_concat_tile[layout=Layout.TILE] AssertionError: 0.4476023911980018

Directory Structure / Includes Error:
ttnn group 4 tests: tests/ttnn/unit_tests/operations/test_bernoulli.py#L77

test_bernoulli[is_out_alloc=True-out_dtype=bfloat16-in_dtype=bfloat16-seed=6296-shape=[2003]]

RuntimeError: TT_THROW @ /work/tt_metal/impl/program/program.cpp:50: tt::exception
info:
Failed to generate binaries for compute_bernoulli TT_THROW @ /work/tt_metal/jit_build/build.cpp:613: tt::exception
info:
trisc1 build failed

PCC Error:
ttnn group 6 tests: tests/ttnn/unit_tests/operations/test_maxpool2d.py#L431

test_run_max_pool_width_shard[ceil_mode=False-dtype=DataType.BFLOAT16-dilation=(1, 1)-stride=(1, 1)-padding=(0, 0)-kernel_size=(2, 2)-act_shape=[1, 6144, 6, 6]-device_params={'l1_small_size': 24576}]

AssertionError: 0.058725904965279276

PCC Error:
ttnn group 7 tests: tests/ttnn/unit_tests/operations/test_maxpool2d.py#L431

test_run_max_pool_width_shard[ceil_mode=False-dtype=DataType.BFLOAT16-dilation=(1, 1)-stride=(1, 1)-padding=(4, 4)-kernel_size=(9, 9)-act_shape=[1, 6144, 6, 6]-device_params={'l1_small_size': 24576}]

AssertionError: 0.222073781949217

PCC Error:
ttnn group 9 tests: tests/ttnn/unit_tests/operations/test_moreh_sum.py#L550

test_moreh_sum_integer[int32-dim-h-2, 2, 3, TILE_HEIGHT * 8, TILE_WIDTH * 8]

assert False
 +  where False = <built-in method equal of type object at 0x7faaf019a920>(tensor([[[[[ 17,   9,   3,   1, -25, -46, -16, -28,  25, -30,  13, -28, -29, -31,  38, -19,  20,  -4,  19,  15, -66, -32,  23, -34, -11, -13, -28,  11,  28, -36,  13,  -2, -20, -10,  29, -18, -16,  17,  -7,   1, -21,  16,   2,  43,   0, -14, -19,  24,   9,  -8,  32,   8,  -4,  15, -31, -32, -38, -36,  40,  -7, -17,  29,  36,   6, -44,  25,   6,   7,  44,  18,   8,  18, -41,  15,  -9, -19, -23,\n            -17, -26, -13,   5, -19, -16, -28, -21,  21,  20,   3,  15,  31, -10,  -6,  -7,  18, -13,  15, -42, -50,  30, -17,  54,  21,  18,   2, -11,  44,  14,  20,  28,  19,  -1,  15,  14,   1,  25, -35, -21,  30,  30,  41,  -7, -33,  39,   9,  21,  39,  -1,  17,  10, -20,   8,  40, -30,  -7, -36,  17,  25,  19,   9,   4, -21,  -9,  19, -16,  -2,  -7,  -9,  15, -12,   8,  18,   0,  -1,  25,\n             -9, -15,  36, -23, -34,  -9,  -9,  42,  42,  -7,   3,  -8,  22, -39,  21, -30, -25,   3,  26,  14,  26,  -9,  17,  -2,  10, -13,  -2, -11,   2,  16,  -7,  14,  40,  -3,  13, -19,  58,  12,  35,   1, -44,  39,   1, -41, -20, -32,  37,  -9,  21, -29,   2,  17,  -1,  18,  34,  -9, -14,  43, -38,  19,  38, -38, -11, -18, -27,  32,  -7,   4, -17,  27,  49,  -2,  10,   5,   5,  21,  21,\n            -12,  21,   6,  13, -30,   7, -29,  -3, -31,   3,  12, -25,   9,  59,  -3,  -6, -16,  13, -22,  -1, -27, -23, -19,  23, -26]],\n\n          [[-37,  30, -15,  17,  12,  22, -22,  16,  25, -11, -29, -21, -14, -45,  48,  38,  -8,  24, -30, -27,  -4, -14,  -2, -24,  -9,  -3,  63,  24,  46, -11,  -7,   0,   9, -19,   0,  13,   1, -29,  36, -17,   2,  -1,   8,  26, -43,  -3, -41, -31,  10,  22,  -9,  -8, -28,  -7, -33,  40,  21, -19, -11, -16,  11,   4,  15, -39,  12,  -9,  12,  13,  24,  12,   6, -24, -15,   7, -10,  -6,  -1,\n            -41, -15,  13,  -3, -24,  27,  -7,   3,   2,  -6, -11,  12,  13, -72, -22,   3,  -5, -17,  -6,   0,  25,  11,  16,  10, -33,  24,  -2,  27,  22,   7,   3,  -7, -15,  -8,  25,  18,  14,  10,   5, -22,  -5, -35,   0,   2,  17,  14, -43,  -4,  23,  26, -10, -55,  -6,  27, -21,  62, -27,  -3,  26,  39, -39,  21,  -1,   7,  -3, -25,  12, -12,   8, -10,  23, -14,   3,  35, -16,   2, -19,\n            -28,  25, -28,   4,   2, -26, -49, -10,   4,   5,   5,  24,  22,   9,  26,  -6,  24, -24,   7,  20,  12,  45, -13,  -9, -30,  16, -17, -15, -11, -24, -42,  11,   7,  -7, -39,  -5, -17,   8, -33,   8,   8, -31,  22,  15,  35, -14, -10,   4, -27, -43,   2,  21,  -8,  11,  -8,   5, -47, -20, -12,   8, -15,  18,  18,  23,  14,   3,  35,  26,  -8,   5, -13,  25,  24,  19,  31, -28,   7,\n            -24,  -9,   8, -16,  23, -52,  -4,  12, -14,  24, -12, -10,  13,  27,   4, -31,  14,  26,  19,   0, -26,  -4,  13,  16, -12]],\n\n          [[-39, -12, -36,  31,  29, -11,  16, -38, -42,   8, -39, -38,  34, -23,  -3,  -6,  -9,  31,   5,  23, -18,   0,  16,  -3,   6, -23,  40,  -1, -30,  32, -20,  24, -10,  43, -26, -59,  16,  -2,  33, -28,   6, -12,  -6, -10, -30,  36, -22, -11,  17,  -9,  -2,  -7,   1,  33,  12, -18,   1, -16, -50,  -7,  15, -26, -13, -56, -11, -21,   4,  15,  11, -29,  12,  37,   1,   5,   4, -22,   0,\n              6, -38,   8, -22,  13,  25,   3,  25,   2,  15, -26,  30,   7, -16,  16,  -9, -46,  -7,  12,   3,  13, -37,  22,   9, -26,   3, -15, -10,  -8, -28, -12,  -2, -19, -24, -13,  26, -19,  26,  -4, -16,  -4, -13,  12,  23,  -1, -23,   1,  -1,  26,  56, -28, -23, -11,  -8,  27,  -3,  -7,  37,  12, -18,  33, -12,  -4,  -8,   0,   5, -20,  12, -14,  31, -34,  -6,   5,  13,  16, -16,  46,\n              9, -16,   7,   1,   3,  15, -23, -18,   0,  18,  19,   1,  -4,  17,  25, -35,  13,  12, -43,   5,  -1, -25, -21, -30,  -9,  -4,  18, -34,  32,  21, -23, -15, -10,  -3,   0,   0,  12, -22,   5, -28,  -7, -36, -14,  18,  39,  -8,  19,  28,  34,   0, -15, -30, -42, -24,  16,  -9, -25,  -6,  24,  34,  -2,  -5,  -8,  36,  15, -27,  18,   5, -48,   7, -30,  12, -30, -14,  16, -20,  -2,\n             32,   0,  26,   9, -27, -30,   0,  15,  20,  20, -2

Alignment Error:
ttnn group 10 tests: tests/ttnn/unit_tests/operations/test_reallocate.py#L94

test_reallocate_sharded[input_shape=[1, 1, 4, 34]-core_grid=ttnn.CoreGrid(x=1, y=1)-strategy=ShardStrategy.BLOCK-layout=Layout.ROW_MAJOR]

RuntimeError: TT_FATAL @ /work/ttnn/cpp/ttnn/operations/data_movement/sharded/sharded_to_interleaved/device/sharded_to_interleaved_op.cpp:28: (*input_tensor.memory_config().shard_spec).shape[1] * input_tensor.element_size() % (l1_alignment) == 0
info:
Shard page size must be aligned to 16B for L1 Tensor

PCC Error:
ttnn group 11 tests: tests/ttnn/unit_tests/operations/eltwise/test_binary_bcast.py#L178

test_binary_scalar_ops[ttnn_fn=div-activations=(('LOG',), (), ('ABS', 'SQRT'))-a_shape=torch.Size([5, 1, 64, 1])-b_shape=torch.Size([1, 3, 1, 128])]

assert False
 +  where False = <function test_binary_scalar_ops.<locals>.compare at 0x7f7188634430>([ttnn.Tensor([[[[ 0.68750,  0.98438,  ...,  0.64453,  0.71484],\n               [ 1.41406,  2.03125,  ...,  1.32812,  1.47656],\n               ...,\n               [ 0.53125,  0.75781,  ...,  0.49805,  0.55469],\n               [ 0.98047,  1.40625,  ...,  0.92188,  1.02344]],\n\n              [[ 0.76172,  0.86719,  ...,  3.18750,  0.63672],\n               [ 1.57031,  1.78125,  ...,  6.56250,  1.31250],\n               ...,\n               [ 0.58594,  0.66797,  ...,  2.45312,  0.49219],\n               [ 1.08594,  1.23438,  ...,  4.56250,  0.91406]],\n\n              [[ 0.82422,  2.60938,  ...,  0.71875,  0.71484],\n               [ 1.69531,  5.34375,  ...,  1.47656,  1.46875],\n               ...,\n               [ 0.63281,  2.00000,  ...,  0.55469,  0.55078],\n               [ 1.17188,  3.71875,  ...,  1.02344,  1.01562]]],\n\n             [[[ 0.63281,  0.90625,  ...,  0.59375,  0.65625],\n               [ 1.61719,  2.31250,  ...,  1.51562,  1.68750],\n               ...,\n               [ 1.39844,  2.00000,  ...,  1.31250,  1.46094],\n               [ 1.24219,  1.78125,  ...,  1.16406,  1.28906]],\n\n              [[ 0.69922,  0.79688,  ...,  2.92188,  0.58594],\n               [ 1.79688,  2.03125,  ...,  7.53125,  1.50000],\n               ...,\n               [ 1.55469,  1.75781,  ...,  6.46875,  1.29688],\n               [ 1.37500,  1.56250,  ...,  5.75000,  1.14844]],\n\n              [[ 0.75391,  2.39062,  ...,  0.66016,  0.65625],\n               [ 1.93750,  6.12500,  ...,  1.69531,  1.67969],\n               ...,\n               [ 1.67188,  5.28125,  ...,  1.46094,  1.45312],\n               [ 1.48438,  4.68750,  ...,  1.29688,  1.28906]]],\n\n             ...,\n\n             [[[ 1.46094,  2.09375,  ...,  1.36719,  1.52344],\n               [ 0.97656,  1.39844,  ...,  0.91797,  1.01562],\n               ...,\n               [ 0.47656,  0.67969,  ...,  0.44727,  0.49609],\n               [ 1.57812,  2.26562,  ...,  1.47656,  1.64844]],\n\n              [[ 1.61719,  1.83594,  ...,  6.78125,  1.35938],\n               [ 1.08594,  1.22656,  ...,  4.53125,  0.90625],\n               ...,\n               [ 0.52734,  0.59766,  ...,  2.20312,  0.44141],\n               [ 1.75000,  1.98438,  ...,  7.31250,  1.46094]],\n\n              [[ 1.74219,  5.53125,  ...,  1.52344,  1.52344],\n               [ 1.17188,  3.70312,  ...,  1.02344,  1.01562],\n               ...,\n               [ 0.56641,  1.79688,  ...,  0.49609,  0.49414],\n               [ 1.89062,  5.96875,  ...,  1.64844,  1.64062]]],\n\n             [[[ 1.88281,  2.68750,  ...,  1.76562,  1.95312],\n               [ 1.22656,  1.76562,  ...,  1.15625,  1.28125],\n               ...,\n               [ 0.85938,  1.22656,  ...,  0.80859,  0.89453],\n               [ 1.21094,  1.74219,  ...,  1.14062,  1.26562]],\n\n              [[ 2.07812,  2.35938,  ...,  8.68750,  1.74219],\n               [ 1.36719,  1.54688,  ...,  5.71875,  1.14062],\n               ...,\n               [ 0.95312,  1.07812,  ...,  3.98438,  0.79688],\n               [ 1.35156,  1.52344,  ...,  5.62500,  1.12500]],\n\n              [[ 2.23438,  7.09375,  ...,  1.96094,  1.95312],\n               [ 1.46875,  4.65625,  ...,  1.28906,  1.27344],\n               ...,\n               [ 1.02344,  3.25000,  ...,  0.89844,  0.89453],\n               [ 1.45312,  4.59375,  ...,  1.27344,  1.25781]]]], shape=Shape([5, 3, 64, 128]), dtype=DataType::BFLOAT16, layout=Layout::TILE)], [tensor([[[[ 0.6875,  0.9844,  0.9023,  0.6992,  1.6406,  1.1406,  0.8281,  0.6328,  0.6719,  0.6406,  0.9297,  0.6680,  1.1094,  1.3359,  1.0703,  0.7227,  0.7734,  0.8008,  0.6914,  0.6758,  1.0391,  0.7773,  0.6758,  0.9102,  2.0625, 10.1250,  0.6797,  0.6328,  1.3828,  0.6758,  1.3125,  0.8867,  1.1641,  7.1562,  0.7617,  1.2422,  0.9219,  1.2344,  0.8984,  1.4766,  0.8398,  0

Probably Bad Arch Check Error:
ttnn group 12 tests: tests/ttnn/unit_tests/operations/eltwise/test_composite.py#L468

test_unary_composite_round_ttnn[input_shapes=torch.Size([1, 1, 32, 32])]

RuntimeError: TT_FATAL @ /work/ttnn/cpp/ttnn/operations/eltwise/unary/device/unary_composite_op.cpp:709: arch == tt::ARCH::WORMHOLE_B0
info:
Op is only supported on Wormhole

Sub-issues need to be created and assigned to the appropriate owners.