where¶
- paddle.fluid.layers.nn. where ( condition ) [source]
-
Return an int64 tensor with rank 2, specifying the coordinate of true element in condition.
- Parameters
-
condition (Variable) – A bool tensor with rank at least 1, the data type is bool.
- Returns
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The tensor variable storing a 2-D tensor, which involves all coordinate.
- Return type
-
Variable, the output data type is int64.
Examples
import paddle.fluid as fluid import paddle.fluid.layers as layers import numpy as np # condition is a tensor [True, False, True] condition = layers.assign(np.array([1, 0, 1], dtype='int32')) condition = layers.cast(condition, 'bool') out = layers.where(condition) # [[0], [2]] # condition is a tensor [[True, False], [False, True]] condition = layers.assign(np.array([[1, 0], [0, 1]], dtype='int32')) condition = layers.cast(condition, 'bool') out = layers.where(condition) # [[0, 0], [1, 1]] # condition is a tensor [False, False, False] condition = layers.assign(np.array([0, 0, 0], dtype='int32')) condition = layers.cast(condition, 'bool') out = layers.where(condition) # [[]]