QuantizedMul

tensorflow C++ API

tensorflow::ops::QuantizedMul

Returns x * y element-wise, working on quantized buffers.

Summary

Arguments:

• scope: A Scope object
• min_x: The float value that the lowest quantizedxvalue represents.
• max_x: The float value that the highest quantizedxvalue represents.
• min_y: The float value that the lowest quantizedyvalue represents.
• max_y: The float value that the highest quantizedyvalue represents.

Output

• output z
• output min_z: The float value that the lowest quantized output value represents.
• output : max_z: The float value that the highest quantized output value represents.

NOTEQuantizedMulsupports limited forms of broadcasting. More about broadcasting here

Constructor

• QuantizedMul(const ::tensorflow::Scope & scope, ::tensorflow::Input x, ::tensorflow::Input y, ::tensorflow::Input min_x, ::tensorflow::Input max_x, ::tensorflow::Input min_y, ::tensorflow::Input max_y, const QuantizedMul::Attrs & attrs)

Public attributes

• tensorflow::Output z.
• tensorflow::Output min_z.
• tensorflow::Output max_z.

QuantizedMul block

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

Argument:

• Scope scope : A Scope object (A scope is generated automatically each page. A scope is not connected.).
• Input x : connect Input node.
• Input y : connect Input node.
• Input min_x : connect Input node.
• Input max_x : connect Input node.
• Input min_y : connect Input node.
• Input max_y : connect Input node.
• DataType out_type:Input DataType. ex)DT_QINT8

Return:

• Output output: Output object of QuantizedMul class object.

Result:

• std::vector(Tensor) product_result : Returned object of executed result by calling session.

Using Method

tensorflow -> error: No OpKernel was registered to support Op ‘QuantizedMul’ with these attrs.

Registered devices: [CPU,GPU], Registered kernels:

<no registered kernels>