FakeQuantWithMinMaxArgsGradient

tensorflow C++ API

tensorflow::ops::FakeQuantWithMinMaxArgsGradient

Compute gradients for a FakeQuantWithMinMaxArgs operation.

Summary

Arguments:

• scope: A Scope object
• gradients: Backpropagated gradients above the FakeQuantWithMinMaxArgs operation.
• inputs: Values passed as inputs to the FakeQuantWithMinMaxArgs operation.

Returns:

• Output : Backpropagated gradients below the FakeQuantWithMinMaxArgs operation: gradients * (inputs >= min && inputs <= max).

FakeQuantWithMinMaxArgsGradient block

Source link :https://github.com/EXPNUNI/enuSpaceTensorflow/blob/master/enuSpaceTensorflow/tf_array_ops.cpp

Argument:

• Scope scope : A Scope object (A scope is generated automatically each page. A scope is not connected.)
• Input inputs: A Tensor of type float.
• Attr attrs : An optional attribute value
  • min : An optional float. Defaults to -6.
  • max : An optional float. Defaults to 6.
  • num_bits : An optional int. Defaults to 8.

Attrs use ex)

Output:

• output : Output object of FakeQuantWithMinMaxArgsGradient class object.

Result:

• std::vector(Tensor) result_output : A Tensor of type float operation: gradients * (inputs >= min && inputs <= max). .

Using Method

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