LeakyRelu¶

LeakyRelu - 16¶

Version¶

name: LeakyRelu (GitHub)
domain: main
since_version: 16
function: True
support_level: SupportType.COMMON
shape inference: True

This version of the operator has been available since version 16.

Summary¶

LeakyRelu takes input data (Tensor<T>) and an argument alpha, and produces one output data (Tensor<T>) where the function f(x) = alpha * x for x < 0, f(x) = x for x >= 0, is applied to the data tensor elementwise.

Function Body¶

The function definition for this operator.

&lt;
  domain: &#34;&#34;,
  opset_import: [&#34;&#34; : 16]
&gt;
LeakyRelu &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)
   XLessThanZero = Less (X, ZeroCast)
   AlphaMulX = Mul (AlphaCast, X)
   Y = Where (XLessThanZero, AlphaMulX, X)
}

Attributes¶

alpha - FLOAT (default is '0.01'):

Coefficient of leakage.

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.

LeakyRelu - 6 vs 16

LeakyRelu - 6¶

Version¶

name: LeakyRelu (GitHub)
domain: main
since_version: 6
function: False
support_level: SupportType.COMMON
shape inference: True

This version of the operator has been available since version 6.

Summary¶

Attributes¶

alpha - FLOAT (default is '0.01'):

Coefficient of leakage.

Inputs¶

X (heterogeneous) - T:

Input tensor

Outputs¶

Y (heterogeneous) - T:

Output tensor

Type Constraints¶

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

Constrain input and output types to float tensors.

LeakyRelu - 1¶

Version¶

name: LeakyRelu (GitHub)
domain: main
since_version: 1
function: False
support_level: SupportType.COMMON
shape inference: False

This version of the operator has been available since version 1.

Summary¶

Attributes¶

alpha - FLOAT (default is '0.01'):

Coefficient of leakage default to 0.01.
consumed_inputs - INTS :

legacy optimization attribute.

Inputs¶

X (heterogeneous) - T:

Input tensor

Outputs¶

Y (heterogeneous) - T:

Output tensor

Type Constraints¶

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

Constrain input and output types to float tensors.