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enkilee
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def test_x_dtype_check():
# the Input(x)'s dtype must be one of [bool, float16, float32, float64, int32, int64]
x1 = paddle.static.data(
name='x1', shape=[-1, 10, 5, 3], dtype='int8'
)
paddle.transpose(x1, perm=[1, 0, 2])
self.assertRaises(TypeError, test_x_dtype_check)这块可能静态图的类型检查又一些滞后，可以看下能不能改一下transpose里的api，参考#60488 这里面的 mean 处理方法 |
0x45f
reviewed
Jan 29, 2024
| x1 = paddle.static.data( | ||
| name='x1', shape=[-1, 10, 5, 3], dtype='int8' | ||
| ) | ||
| paddle.transpose(x1, perm=[1, 0, 2]) |
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transpose 的 kernel是支持int8类型的，只是老静态图python端检查代码有些滞后，需要在python/paddle/tensor/linalg.py的transpose函数老静态图分支的check_variable_and_dtype加上int8类型。然后这个测试case就可以不用加not in_pir_mode 的判断了
0x45f
reviewed
Jan 30, 2024
0x45f
reviewed
Feb 2, 2024
| # the Input(x)'s dtype must be one of [bool, float16, float32, float64, int32, int64] | ||
| x1 = paddle.static.data( | ||
| name='x1', shape=[-1, 10, 5, 3], dtype='int8' | ||
| if core.is_compiled_with_cuda(): |
Collaborator
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transpose的cpu kernel也注册了float16类型，参见paddle/phi/kernels/cpu/transpose_kernel.cc。所以把这个测试case删掉吧~
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CI有点问题没有触发，辛苦merger下develop然后再push一下，重新触发下CI~ |
0x45f
approved these changes
Feb 19, 2024
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Description
A17 transpose