2.7 KiB
Minimum
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.. meta:: :description: Learn about Minimum-1 - an element-wise, arithmetic operation, which can be performed on a single tensor in OpenVINO.
Versioned name: Minimum-1
Category: Arithmetic binary
Short description: Minimum performs element-wise minimum operation with two given tensors applying broadcasting rule specified in the auto_broadcast attribute.
Detailed description
As a first step input tensors a and b are broadcasted if their shapes differ. Broadcasting is performed according to auto_broadcast attribute specification. As a second step Minimum operation is computed element-wise on the input tensors a and b according to the formula below:
.. math::
o_{i} = min(a_{i},\ b_{i})
Attributes:
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auto_broadcast
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Description: specifies rules used for auto-broadcasting of input tensors.
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Range of values:
- none - no auto-broadcasting is allowed, all input shapes must match
- numpy - numpy broadcasting rules, description is available in :doc:
Broadcast Rules For Elementwise Operations <openvino_docs_ops_broadcast_rules>
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Type: string
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Default value: "numpy"
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Required: no
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Inputs
- 1: A tensor of type T and arbitrary shape. Required.
- 2: A tensor of type T and arbitrary shape. Required.
Outputs
- 1: The result of element-wise minimum operation. A tensor of type T with shape equal to broadcasted shape of two inputs.
Types
- T: any numeric type.
Examples
Example 1 - no broadcasting
.. code-block:: xml :force:
<layer ... type="Minimum"> 256 56 256 56 256 56
Example 2: numpy broadcasting
.. code-block:: xml :force:
<layer ... type="Minimum"> 8 1 6 1 7 1 5 8 7 6 5
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