rthadur / recaptcha

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dfdsfsdfsfd #412

Closed rajesht2418 closed 2 years ago

rajesht2418 commented 2 years ago

Issue Type

Bug

Source

source

Tensorflow Version

2.8

Custom Code

Yes

OS Platform and Distribution

sdfd

Mobile device

No response

Python version

No response

Bazel version

No response

GCC/Compiler version

No response

CUDA/cuDNN version

No response

GPU model and memory

No response

Current Behaviour?

A bug happened!
i have two models:
model_0 assign with input shape of 6,6,1280, which has two layers of GlobalAveragePooling2D and Dense.
mobile_net is mobilenet assign with input shape of 192,192,3, and output shape of 6,6,1280
now i connect the model_1 and model_0, hoping they will connected together.
I finally assembled the two model successfully, the assembled model is named model_1
But when i extract some layer outputs of the model_1, wired things happened~~
i can get the -4 layer output successfully
i can get the -3 layer output successfully
i can not get the -2 layer output 
i can not get the -1 layer output

A bug happened!
i have two models:
model_0 assign with input shape of 6,6,1280, which has two layers of GlobalAveragePooling2D and Dense.
mobile_net is mobilenet assign with input shape of 192,192,3, and output shape of 6,6,1280
now i connect the model_1 and model_0, hoping they will connected together.
I finally assembled the two model successfully, the assembled model is named model_1
But when i extract some layer outputs of the model_1, wired things happened~~
i can get the -4 layer output successfully
i can get the -3 layer output successfully
i can not get the -2 layer output 
i can not get the -1 layer output

Standlone code to reproduce the issue

A bug happened!
i have two models:
model_0 assign with input shape of 6,6,1280, which has two layers of GlobalAveragePooling2D and Dense.
mobile_net is mobilenet assign with input shape of 192,192,3, and output shape of 6,6,1280
now i connect the model_1 and model_0, hoping they will connected together.
I finally assembled the two model successfully, the assembled model is named model_1
But when i extract some layer outputs of the model_1, wired things happened~~
i can get the -4 layer output successfully
i can get the -3 layer output successfully
i can not get the -2 layer output 
i can not get the -1 layer outputA bug happened!
i have two models:
model_0 assign with input shape of 6,6,1280, which has two layers of GlobalAveragePooling2D and Dense.
mobile_net is mobilenet assign with input shape of 192,192,3, and output shape of 6,6,1280
now i connect the model_1 and model_0, hoping they will connected together.
I finally assembled the two model successfully, the assembled model is named model_1
But when i extract some layer outputs of the model_1, wired things happened~~
i can get the -4 layer output successfully
i can get the -3 layer output successfully
i can not get the -2 layer output 
i can not get the -1 layer outputA bug happened!
i have two models:
model_0 assign with input shape of 6,6,1280, which has two layers of GlobalAveragePooling2D and Dense.
mobile_net is mobilenet assign with input shape of 192,192,3, and output shape of 6,6,1280
now i connect the model_1 and model_0, hoping they will connected together.
I finally assembled the two model successfully, the assembled model is named model_1
But when i extract some layer outputs of the model_1, wired things happened~~
i can get the -4 layer output successfully
i can get the -3 layer output successfully
i can not get the -2 layer output 
i can not get the -1 layer output

Relevant log output

A bug happened!
i have two models:
model_0 assign with input shape of 6,6,1280, which has two layers of GlobalAveragePooling2D and Dense.
mobile_net is mobilenet assign with input shape of 192,192,3, and output shape of 6,6,1280
now i connect the model_1 and model_0, hoping they will connected together.
I finally assembled the two model successfully, the assembled model is named model_1
But when i extract some layer outputs of the model_1, wired things happened~~
i can get the -4 layer output successfully
i can get the -3 layer output successfully
i can not get the -2 layer output 
i can not get the -1 layer outputA bug happened!
i have two models:
model_0 assign with input shape of 6,6,1280, which has two layers of GlobalAveragePooling2D and Dense.
mobile_net is mobilenet assign with input shape of 192,192,3, and output shape of 6,6,1280
now i connect the model_1 and model_0, hoping they will connected together.
I finally assembled the two model successfully, the assembled model is named model_1
But when i extract some layer outputs of the model_1, wired things happened~~
i can get the -4 layer output successfully
i can get the -3 layer output successfully
i can not get the -2 layer output 
i can not get the -1 layer output
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