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As there were unreasonable type promotion in Paddle, which the previous logic was aligned to the left tensor, like:
a = paddle.ones([3,3], dtype= ''int64")
b = paddle.ones([3,3], dtype = 'float32')
a+b # int64
This behavior will be fixed more in line with mathematical logic, like:
a = paddle.ones([3,3], dtype= ''int64")
b = paddle.ones([3,3], dtype = 'float32')
a+b # float32
Furthermore, after discussion, we will limit the behavior of automatic type promotion to floating-point numbers, and between real and complex numbers in Tensor and Tensor. Tensor and Scalar will still support all dtypes.
## Before:
a = paddle.ones([3,3], dtype= ''int32")
b = paddle.ones([3,3], dtype = 'int64')
a+b # int64
## After:
a = paddle.ones([3,3], dtype= ''int32")
b = paddle.ones([3,3], dtype = 'int64')
a+b # raise TypeError
Those PR #60638 , #59518 fixed the behavior in few APIs between floating-point numbers in Tensor and Tensor.
This PR will support all binary operation API, and type promotion between real and complex numbers in Tensor and Tensor. Also the behavior between Tensor and Scalar will be corrected.
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PR Category
Others
PR Types
New features
Description
card-78750
As there were unreasonable type promotion in Paddle, which the previous logic was aligned to the left tensor, like:
This behavior will be fixed more in line with mathematical logic, like:
Furthermore, after discussion, we will limit the behavior of automatic type promotion to floating-point numbers, and between real and complex numbers in Tensor and Tensor. Tensor and Scalar will still support all dtypes.
Those PR #60638 , #59518 fixed the behavior in few APIs between floating-point numbers in Tensor and Tensor.
This PR will support all binary operation API, and type promotion between real and complex numbers in Tensor and Tensor. Also the behavior between Tensor and Scalar will be corrected.