dc832134c1a0a0961792398e0bca5b20806fbc69,tensorflow_encrypted/convert/register.py,,bias_add,#Any#Any#Any#,157
Before Change
def bias_add(converter: Converter, node: Any, inputs: List[str]) -> Any:
raise NotImplementedError()
input = converter.outputs[inputs[0]]
bias = converter.outputs[inputs[1]]
After Change
a = converter.outputs[inputs[0]]
b = converter.outputs[inputs[1]]
if isinstance(a, tf.NodeDef):
a_out = nodef_to_private_pond(converter, a)
else:
a_out = a
if isinstance(b, tf.NodeDef):
b_out = nodef_to_private_pond(converter, b)
else:
b_out = b
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 7
Instances
Project Name: mortendahl/tf-encrypted
Commit Name: dc832134c1a0a0961792398e0bca5b20806fbc69
Time: 2018-09-27
Author: justinpatriquin@gmail.com
File Name: tensorflow_encrypted/convert/register.py
Class Name:
Method Name: bias_add
Project Name: mortendahl/tf-encrypted
Commit Name: dc832134c1a0a0961792398e0bca5b20806fbc69
Time: 2018-09-27
Author: justinpatriquin@gmail.com
File Name: tensorflow_encrypted/convert/register.py
Class Name:
Method Name: bias_add
Project Name: pymanopt/pymanopt
Commit Name: 17522b968c8a1d2b29d0034fc57cec59ed9972de
Time: 2016-03-15
Author: git@sweichwald.de
File Name: pymanopt/tools/autodiff/_tensorflow.py
Class Name: TensorflowBackend
Method Name: compute_hessian
Project Name: Microsoft/MMdnn
Commit Name: 13ba9a024d50038d94706beeb5267a88a1a2ac5e
Time: 2019-01-07
Author: 42927787+rainLiuplus@users.noreply.github.com
File Name: mmdnn/conversion/mxnet/mxnet_emitter.py
Class Name: MXNetEmitter
Method Name: emit_Constant