Improve TTNN Dialect to better model TTNN lib

[svuckovicTT]

I talked to TTNN folks to better understand how they put tensors onto the device. Prevailing sentiment was that we should copy the behaviour of their from_torch function, found here. There are some edge cases to account for, but for now I've simplified to 3 calls:

• ttl.tensor.Tensor(tensor, dtype) - this call is used to change tensor type
  • currently not implemented due to [TTNN Dialect] Add ability to change CPU tensor to desired dtype #621 (need tt-metal uprev)
• ttnn.to_layout(tensor, layout, device=device) - this call controls tensor layout: row major vs tiled
• ttnn.to_device(tensor, device, memory_config=memory_config) - this call controls how a given tensor is distributed across memory units of the chip: l1 vs dram, sharded vs interleaved, shardspec, etc.)

TTNN Dialect:

• Add ToLayout op
• Add ToDevice op
• Add MemoryConfigAttr
• Add couple enums and attributes to support above ops
• Separate Attrs and Types into own files

TTIR to TTNN:

• Pipe all TT_Layout properties in ttnn::ToLayout op conversion

TTNN to EmitC:

• Fix some function calls to match actual signatures from ttnn lib
• Convert newly added ops in TTNN dialect
• Capturing device needs fixing after Remove ttnn open/close device #618, tracking issue: [TTNN to EmitC] Pipe device to forward fn #664
• Very few changes remaining to make the generated code run out-of-the-box :)

Other:

• Update ttnn-standalone to match the tensor device-push behaviour

[svuckovicTT]

̶T̶O̶D̶O̶:̶ ̶A̶d̶d̶ ̶n̶e̶w̶ ̶o̶p̶s̶ ̶t̶o̶ ̶r̶u̶n̶t̶i̶m̶e̶ ̶c̶o̶d̶e̶ ̶b̶e̶f̶o̶r̶e̶ ̶m̶e̶r̶g̶i̶n̶g̶.̶

Edit: Done.

[rpavlovicTT]

Nice changes, few cosmetic comments.

[nsmithtt]

Does this map to ttnn::CoreRangeSet? We might need a proper def for this because they are kind of non-trivial to construct and depends on TensorMemoryLayout. Happy to tackle this in a follow on change though

[svuckovicTT]

I'm actually not sure! All the CoreRange* attrs here show as additions because I separated Types and Attrs, and these were previously in TTNNOpsTypes.td file.