You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
thank you for your contribution. I test the caffemodel of which the weights and bias were converted from tensorflow model. result from each layer was verified as below
caffe(fp32) : h0 h1 h2 ps caffe_output_tanh
Tensorflow(fp32): tf_h0 tf_h1 tf_h2 tf_output_tanh
indeed, there are still some different between caffe and TF, but i think it may not cause by python layer. I think the designed ps layer is right!
The text was updated successfully, but these errors were encountered:
thank you for your contribution. I test the caffemodel of which the weights and bias were converted from tensorflow model. result from each layer was verified as below
caffe(fp32) : h0 h1 h2 ps caffe_output_tanh
Tensorflow(fp32): tf_h0 tf_h1 tf_h2 tf_output_tanh
indeed, there are still some different between caffe and TF, but i think it may not cause by python layer. I think the designed ps layer is right!
The text was updated successfully, but these errors were encountered: