ttnn.angle_bw

ttnn.angle_bw(grad_tensor: ttnn.Tensor, input_tensor: ComplexTensor, *, memory_config: ttnn.MemoryConfig) → List of ttnn.Tensor

Performs backward operations for complex angle function on input_tensor with given grad_tensor.

Parameters:

  • grad_tensor (ttnn.Tensor) – the input tensor.

  • input_tensor (ComplexTensor) – the input tensor.

Keyword Arguments:

memory_config (ttnn.MemoryConfig) – Memory configuration for the operation.

Returns:

List of ttnn.Tensor – the output tensor.

Note

Supported dtypes, layouts, and ranks:

Dtypes

Layouts

Ranks

BFLOAT16

TILE

2, 3, 4

Example

>>> grad_tensor = ttnn.to_device(ttnn.from_torch(torch.tensor((1, 2), dtype=torch.bfloat16)), device=device)
>>> tensor = ttnn.to_device(ttnn.from_torch(torch.tensor((1, 2), dtype=torch.bfloat16)), device=device)
>>> output = ttnn.angle_bw(grad_tensor, tensor)