Add Matmul op #26411
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Add Matmul op #26411
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jzhang533
reviewed
Aug 20, 2020
| @@ -5095,7 +5095,65 @@ def matmul(x, y, transpose_x=False, transpose_y=False, alpha=1.0, name=None): | |||
| y = fluid.layers.data(name='y', shape=[3, 2], dtype='float32') | |||
| out = fluid.layers.matmul(x, y, True, True) | |||
| """ | |||
| return paddle.matmul(x, y, transpose_x, transpose_y, alpha, name) | |||
| attrs = { | |||
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给fluid.layers.nn.matmul加一个deprecated decorator吧。
python/paddle/tensor/linalg.py
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| Currently, the input tensors' rank can be any, but when the rank of any | ||
| inputs is bigger than 3, this two inputs' rank should be equal. | ||
| Currently, the input tensors' rank can be any, `matmul` can be used to |
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rank -> number of dimensions
python/paddle/tensor/linalg.py
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| Also note that if the raw tensor :math:`x` or :math:`y` is rank-1 and | ||
| nontransposed, the prepended or appended dimension :math:`1` will be | ||
| removed after matrix multiplication. | ||
| are transposed. If the tensor is rank-1 of shape, the transpose is invalid. |
| the matrix-vector product is obtained. | ||
| - If both arguments are at least 1-dimensional and at least one argument | ||
| is N-dimensional (where N > 2), then a batched matrix multiply is obtained. | ||
| If the first argument is 1-dimensional, a 1 is prepended to its dimension |
python/paddle/tensor/linalg.py
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| x (Variable): The input variable which is a Tensor or LoDTensor. | ||
| y (Variable): The input variable which is a Tensor or LoDTensor. | ||
| x (Tensor): The input tensor which is a Tensor or LoDTensor. | ||
| y (Tensor): The input tensor which is a Tensor or LoDTensor. |
raindrops2sea
approved these changes
Aug 22, 2020
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add matmul op for support the broadcast rule