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| ``mx.symbol.linalg_syrk`` |
| ================================================== |
| |
| Description |
| ---------------------- |
| |
| Multiplication of matrix with its transpose. |
| Input is a tensor *A* of dimension *n >= 2*. |
| |
| If *n=2*, the operator performs the BLAS3 function *syrk*: |
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| *out* = *alpha* \* *A* \* *A*\ :sup:`T` |
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| if *transpose=False*, or |
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| *out* = *alpha* \* *A*\ :sup:`T` \ \* *A* |
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| if *transpose=True*. |
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| If *n>2*, *syrk* is performed separately on the trailing two dimensions for all |
| inputs (batch mode). |
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| .. note:: The operator supports float32 and float64 data types only. |
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| **Example**:: |
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| Single matrix multiply |
| A = [[1., 2., 3.], [4., 5., 6.]] |
| syrk(A, alpha=1., transpose=False) |
| = [[14., 32.], |
| [32., 77.]] |
| syrk(A, alpha=1., transpose=True) |
| = [[17., 22., 27.], |
| [22., 29., 36.], |
| [27., 36., 45.]] |
| |
| Batch matrix multiply |
| A = [[[1., 1.]], [[0.1, 0.1]]] |
| syrk(A, alpha=2., transpose=False) = [[[4.]], [[0.04]]] |
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| Usage |
| ---------- |
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| .. code:: r |
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| mx.symbol.linalg_syrk(...) |
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| Arguments |
| ------------------ |
| |
| +----------------------------------------+------------------------------------------------------------+ |
| | Argument | Description | |
| +========================================+============================================================+ |
| | ``A`` | NDArray-or-Symbol. | |
| | | | |
| | | Tensor of input matrices | |
| +----------------------------------------+------------------------------------------------------------+ |
| | ``transpose`` | boolean, optional, default=0. | |
| | | | |
| | | Use transpose of input matrix. | |
| +----------------------------------------+------------------------------------------------------------+ |
| | ``alpha`` | double, optional, default=1. | |
| | | | |
| | | Scalar factor to be applied to the result. | |
| +----------------------------------------+------------------------------------------------------------+ |
| | ``name`` | string, optional. | |
| | | | |
| | | Name of the resulting symbol. | |
| +----------------------------------------+------------------------------------------------------------+ |
| |
| Value |
| ---------- |
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| ``out`` The result mx.symbol |
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| Link to Source Code: http://github.com/apache/incubator-mxnet/blob/1.6.0/src/operator/tensor/la_op.cc#L730 |
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