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| ``mx.nd.broadcast.minimum`` |
| ====================================================== |
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| Description |
| ---------------------- |
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| Returns element-wise minimum of the input arrays with broadcasting. |
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| This function compares two input arrays and returns a new array having the element-wise minima. |
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| **Example**:: |
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| x = [[ 1., 1., 1.], |
| [ 1., 1., 1.]] |
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| y = [[ 0.], |
| [ 1.]] |
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| broadcast_maximum(x, y) = [[ 0., 0., 0.], |
| [ 1., 1., 1.]] |
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| Arguments |
| ------------------ |
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| +----------------------------------------+------------------------------------------------------------+ |
| | Argument | Description | |
| +========================================+============================================================+ |
| | ``lhs`` | NDArray-or-Symbol. | |
| | | | |
| | | First input to the function | |
| +----------------------------------------+------------------------------------------------------------+ |
| | ``rhs`` | NDArray-or-Symbol. | |
| | | | |
| | | Second input to the function | |
| +----------------------------------------+------------------------------------------------------------+ |
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| Value |
| ---------- |
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| ``out`` The result mx.ndarray |
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| Link to Source Code: http://github.com/apache/incubator-mxnet/blob/1.6.0/src/operator/tensor/elemwise_binary_broadcast_op_extended.cc#L117 |
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