tf.keras.ops.argmin
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Returns the indices of the minium values along an axis.
tf.keras.ops.argmin(
x, axis=None, keepdims=False
)
Args |
|---|
x
|
Input tensor.
|
axis
|
By default, the index is into the flattened tensor, otherwise
along the specified axis.
|
keepdims
|
If this is set to True, the axes which are reduced are left
in the result as dimensions with size one. Defaults to False.
|
Returns |
|---|
Tensor of indices. It has the same shape as x, with the dimension
along axis removed.
|
Example:
x = keras.ops.arange(6).reshape(2, 3) + 10
x
array([[10, 11, 12],
[13, 14, 15]], dtype=int32)
keras.ops.argmin(x)
array(0, dtype=int32)
keras.ops.argmin(x, axis=0)
array([0, 0, 0], dtype=int32)
keras.ops.argmin(x, axis=1)
array([0, 0], dtype=int32)
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Last updated 2024-06-07 UTC.
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