Fix low accuracy in Bloom

[ayerofieiev-tt]

[ayerofieiev-tt]

From @amalbasaTT

      1. Line 109:   _tensor_constant0 = constant 0.7071067690849304 should be cast to tensor (created ticket: https://github.com/tenstorrent/pytorch2.0_ttnn/issues/743)
           2. Low pcc at  test_accuracy(cumsum, ttnn_reshape_1), at ttnn_moreh_cumsum = ttnn.moreh_cumsum(ttnn_to_device, 1, ). Input spec is:
	          - input: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1]
	          - shape: [1, 32, 1, 1]
	          - dtype: DataType::UINT32 
	          - layout: Layout::TILE
            - returns 8388608 where input is 1 (created ticket: https://github.com/tenstorrent/tt-metal/issues/17594)
	3. Error when running command pytest /home/ubuntu/pytorch2.0_ttnn/tests/models/bloom/test_bloom.py --gen_op_accuracy_tests: (created ticket: https://github.com/tenstorrent/pytorch2.0_ttnn/issues/753)
	  - at ttnn_expand = ttnn_decorators_ttnn_expand(ttnn_to_device_4, [1, 1, 32, 32]);  ttnn_to_device_4 = None:
	  - error output: 
			RuntimeError: TT_FATAL @ /home/ubuntu/tt-metal/ttnn/cpp/ttnn/operations/data_movement/tilize/device/tilize_op.cpp:26: input_tensor_a.get_dtype() == DataType::BFLOAT16 or input_tensor_a.get_dtype() == DataType::FLOAT32
			info:
			data type must be bfloat16 or float32

[amalbasaTT]

@ayerofieiev-tt

1. PCC with moreh_cumsum to fallback: 0.6854098200412243
2. PCC with moreh_cumsum and tanh to fallback: 0.9540595408830704

[nemanjagrujic]

Fixing existing tickets:

tenstorrent/tt-metal#15132
tenstorrent/tt-metal#18345
tenstorrent/tt-metal#18546

Should bring this model to 0.99

@amalbasaTT @ayerofieiev-tt