tensorflow: ARM6/RPI: Executor failed to create kernel _FusedConv2D

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System information

• Have I written custom code (as opposed to using a stock example script provided in TensorFlow): yes

• OS Platform and Distribution (e.g., Linux Ubuntu 16.04): ARM 6 (Raspberry PI Zero W)

• Mobile device (e.g. iPhone 8, Pixel 2, Samsung Galaxy) if the issue happens on mobile device: No

• TensorFlow installed from (source or binary): Source at 92b598a32d5f8c636b9eb1cdc7afcb958395500f

• TensorFlow version (use command below): n/a

• Python version: n/a

• Bazel version (if compiling from source): n/a

• GCC/Compiler version (if compiling from source): n/a

• CUDA/cuDNN version: n/a

• GPU model and memory: n/a

You can collect some of this information using our environment capture script You can also obtain the TensorFlow version with python -c “import tensorflow as tf; print(tf.GIT_VERSION, tf.VERSION)” n/a

Describe the current behavior My use case is running TensorFlow as a C-library using Go interface. I am performing an image inferencing task using a model (.pb file). I see that my libtensorflow.so build works fine on ARM7 but fails on ARM6 with the following error:

2019-01-07 04:07:27.533445: E tensorflow/core/common_runtime/executor.cc:634] Executor failed to create kernel. Not found: No registered '_FusedConv2D' OpKernel for CPU devices compatible with node {{node module_apply_default/InceptionV3/InceptionV3/Conv2d_1a_3x3/Relu}}
	.  Registered:  <no registered kernels>

	 [[module_apply_default/InceptionV3/InceptionV3/Conv2d_1a_3x3/Relu]]
2019/01/07 04:07:27 session run:No registered '_FusedConv2D' OpKernel for CPU devices compatible with node {{node module_apply_default/InceptionV3/InceptionV3/Conv2d_1a_3x3/Relu}}
	.  Registered:  <no registered kernels>

	 [[module_apply_default/InceptionV3/InceptionV3/Conv2d_1a_3x3/Relu]]

Describe the expected behavior expecting ARM6 build of libtensorflow.so and libtensorflow_framework.so to work the same as ARM7 build.

Code to reproduce the issue Provide a reproducible test case that is the bare minimum necessary to generate the problem.

Other info / logs Include any logs or source code that would be helpful to diagnose the problem. If including tracebacks, please include the full traceback. Large logs and files should be attached.