ThresholdedRelu¶

ThresholdedRelu - 22¶

Version¶

name: ThresholdedRelu (GitHub)
domain: main
since_version: 22
function: True
support_level: SupportType.COMMON
shape inference: True

This version of the operator has been available since version 22.

Summary¶

ThresholdedRelu takes one input data (Tensor<T>) and produces one output data (Tensor<T>) where the rectified linear function, y = x for x > alpha, y = 0 otherwise, is applied to the tensor elementwise.

Function Body¶

The function definition for this operator.

&lt;
  domain: &#34;&#34;,
  opset_import: [&#34;&#34; : 18]
&gt;
ThresholdedRelu &lt;alpha&gt;(X) =&gt; (Y)
{
   Alpha = Constant &lt;value_float: float = @alpha&gt; ()
   AlphaCast = CastLike (Alpha, X)
   Zero = Constant &lt;value: tensor = float {0}&gt; ()
   ZeroCast = CastLike (Zero, X)
   AlphaLessThanX = Less (AlphaCast, X)
   Y = Where (AlphaLessThanX, X, ZeroCast)
}

Attributes¶

alpha - FLOAT (default is '1.0'):

Threshold value

Inputs¶

X (heterogeneous) - T:

Input tensor

Outputs¶

Y (heterogeneous) - T:

Output tensor

Type Constraints¶

T in ( tensor(bfloat16), tensor(double), tensor(float), tensor(float16) ):

Constrain input and output types to float tensors.

ThresholdedRelu - 10 vs 22

ThresholdedRelu - 10¶