[Python array API standard] Support Tensor.mT in eager/static mode #68833
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| if len(self.shape) == 1: | ||
| return self | ||
| perm = list(range(len(self.shape))) | ||
| perm[-1], perm[-2] = perm[-2], perm[-1] |
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静态图相关单测需要验证在包含动态 shape 场景下的正确性，包括 shape[-1] = 0、shape[-2] = 0、shape[-1] = 0 且 shape[-2] = 0 的情况
| perm = list(range(len(self.meta.shape))) | ||
| perm[-1], perm[-2] = perm[-2], perm[-1] | ||
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| perm_var = ListVariable(perm, self.graph, tracker=ConstTracker(perm)) |
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| perm_var = ListVariable(perm, self.graph, tracker=ConstTracker(perm)) | |
| perm_var = ListVariable(perm, self.graph, tracker=DummyTracker(self)) |
| perm[-1], perm[-2] = perm[-2], perm[-1] | ||
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| perm_var = ListVariable(perm, self.graph, tracker=ConstTracker(perm)) | ||
| assert perm_var is not None |
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这行应该是没有必要的，因为上面的构造函数结果一定是 ListVariable
test/sot/test_18_tensor_method.py
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| @@ -90,6 +94,12 @@ def test_middle_tensor_name(self): | |||
| y = paddle.rand([42, 24]) | |||
| self.assert_results(middle_tensor_name, x, y) | |||
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| def test_tensor_method_property_mT(self): | |||
| x = paddle.rand([42, 24], dtype='float64') | |||
| y = paddle.rand([42, 24], dtype='float32') | |||
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PR Category
User Experience
PR Types
New features
Description
Pcard-75624
根据 https://data-apis.org/array-api/latest/API_specification/generated/array_api.array.mT.html#mt，为动静态图的张量添加
.mT接口以获取高维张量的矩阵转置