TensorRT 6/7 converter crash with tf 2.1.0

Test code and steps to reproduce: https://github.com/bioothod/trt_crash_efficientnet
Happens both with nvcr.io/nvidia/tensorflow:20.02-tf2-py3 and tensorflow/tensorflow:2.1.0-gpu-py3.
Stack trace:
(gdb) bt
#0  0x00007fff60219560 in tensorflow::Node::name() const () from /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/../libtensorflow_framework.so.2
#1  0x00007fff6796af66 in tensorflow::tensorrt::convert::UpdateToEngineNode(std::vector<tensorflow::tensorrt::convert::EngineInfo, std::allocator<tensorflow::tensorrt::convert::EngineInfo> > const&, unsigned long, std::vector<tensorflow::Node*, std::allocator<tensorflow::Node*> > const&, bool, std::string const&, tensorflow::Node**, int*) ()
   from /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/_pywrap_tensorflow_internal.so
#2  0x00007fff6796cfc5 in tensorflow::tensorrt::convert::CreateTRTNode(tensorflow::tensorrt::convert::ConversionParams const&, std::vector<tensorflow::tensorrt::convert::EngineInfo, std::allocator<tensorflow::tensorrt::convert::EngineInfo> > const&, int, int, tensorflow::Graph*, nvinfer1::IGpuAllocator*, std::vector<tensorflow::Node*, std::allocator<tensorflow::Node*> >*) ()
   from /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/_pywrap_tensorflow_internal.so
#3  0x00007fff67972041 in tensorflow::tensorrt::convert::ConvertAfterShapes(tensorflow::tensorrt::convert::ConversionParams const&) ()
   from /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/_pywrap_tensorflow_internal.so
#4  0x00007fff679ac34b in tensorflow::tensorrt::convert::TRTOptimizationPass::Optimize(tensorflow::grappler::Cluster*, tensorflow::grappler::GrapplerItem const&, tensorflow::GraphDef*) ()
   from /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/_pywrap_tensorflow_internal.so
#5  0x00007fff6a31f937 in tensorflow::grappler::MetaOptimizer::RunOptimizer(tensorflow::grappler::GraphOptimizer*, tensorflow::grappler::Cluster*, tensorflow::grappler::GrapplerItem*, tensorflow::GraphDef*, tensorflow::grappler::MetaOptimizer::GraphOptimizationResult*) () from /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/_pywrap_tensorflow_internal.so
#6  0x00007fff6a320ccd in tensorflow::grappler::MetaOptimizer::OptimizeGraph(tensorflow::grappler::Cluster*, tensorflow::grappler::GrapplerItem const&, tensorflow::GraphDef*) ()
   from /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/_pywrap_tensorflow_internal.so
#7  0x00007fff6a322714 in tensorflow::grappler::MetaOptimizer::Optimize(tensorflow::grappler::Cluster*, tensorflow::grappler::GrapplerItem const&, tensorflow::GraphDef*) ()
   from /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/_pywrap_tensorflow_internal.so
#8  0x00007fff6371cc07 in TF_OptimizeGraph(GCluster, tensorflow::ConfigProto const&, tensorflow::MetaGraphDef const&, bool, std::string const&, bool, TF_Status*) ()
   from /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/_pywrap_tensorflow_internal.so
#9  0x00007fff637217d6 in _wrap_TF_OptimizeGraph () from /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/_pywrap_tensorflow_internal.so
#10 0x000000000050a8af in ?? ()
#11 0x000000000050c5b9 in _PyEval_EvalFrameDefault ()
#12 0x0000000000508245 in ?? ()
#13 0x000000000050a080 in ?? ()
#14 0x000000000050aa7d in ?? ()

Full trace when running test.py:
 docker run --ulimit core=-1 --network=host -ti --user=`id -u`:`id -g` --runtime=nvidia -v /home:/home -v `pwd`:`pwd` -w `pwd` --rm -e CUDA_DEVICE_ORDER=PCI_BUS_ID -e CUDA_VISIBLE_DEVICES="2" nvcr.io/nvidia/tensorflow:20.02-tf2-py3 python3 ./test.py --output_dir test/test --num_classes 8 --model_name efficientnet-b0

================
== TensorFlow ==
================

NVIDIA Release 20.02-tf2 (build 9892252)
TensorFlow Version 2.1.0

Container image Copyright (c) 2019, NVIDIA CORPORATION.  All rights reserved.
Copyright 2017-2019 The TensorFlow Authors.  All rights reserved.

Various files include modifications (c) NVIDIA CORPORATION.  All rights reserved.
NVIDIA modifications are covered by the license terms that apply to the underlying project or file.

ERROR: This container was built for NVIDIA Driver Release 440.33 or later, but
       version 430.26 was detected and compatibility mode is UNAVAILABLE.

       [[CUDA Driver UNAVAILABLE (cuInit(0) returned 803)]]

NOTE: MOFED driver for multi-node communication was not detected.
      Multi-node communication performance may be reduced.

NOTE: The SHMEM allocation limit is set to the default of 64MB.  This may be
   insufficient for TensorFlow.  NVIDIA recommends the use of the following flags:
   nvidia-docker run --shm-size=1g --ulimit memlock=-1 --ulimit stack=67108864 ...

2020-02-27 15:00:38.681656: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.2
2020-02-27 15:00:39.644278: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libnvinfer.so.7
2020-02-27 15:00:39.645200: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libnvinfer_plugin.so.7
WARNING:tensorflow:Skipping full serialization of Keras model <__main__.main.<locals>.MyModel object at 0x7efccf2842e8>, because its inputs are not defined.
2020-02-27 15:00:40.702881: W tensorflow/python/util/util.cc:319] Sets are not currently considered sequences, but this may change in the future, so consider avoiding using them.
2020-02-27 15:00:42.116607: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1
2020-02-27 15:00:46.364817: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1555] Found device 0 with properties:
pciBusID: 0000:08:00.0 name: TITAN V computeCapability: 7.0
coreClock: 1.455GHz coreCount: 80 deviceMemorySize: 11.78GiB deviceMemoryBandwidth: 607.97GiB/s
2020-02-27 15:00:46.364870: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.2
2020-02-27 15:00:46.364924: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2020-02-27 15:00:46.367187: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2020-02-27 15:00:46.367563: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2020-02-27 15:00:46.370137: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2020-02-27 15:00:46.371503: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2020-02-27 15:00:46.371553: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2020-02-27 15:00:46.373868: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1697] Adding visible gpu devices: 0
2020-02-27 15:00:46.402696: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency:<PHONE_NUMBER> Hz
2020-02-27 15:00:46.404973: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x4861400 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
2020-02-27 15:00:46.405007: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): Host, Default Version
2020-02-27 15:00:46.701309: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x48c6e20 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:
2020-02-27 15:00:46.701370: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): TITAN V, Compute Capability 7.0
2020-02-27 15:00:46.702813: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1555] Found device 0 with properties:
pciBusID: 0000:08:00.0 name: TITAN V computeCapability: 7.0
coreClock: 1.455GHz coreCount: 80 deviceMemorySize: 11.78GiB deviceMemoryBandwidth: 607.97GiB/s
2020-02-27 15:00:46.702859: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.2
2020-02-27 15:00:46.702882: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2020-02-27 15:00:46.702907: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2020-02-27 15:00:46.702927: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2020-02-27 15:00:46.702946: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2020-02-27 15:00:46.702964: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2020-02-27 15:00:46.702982: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2020-02-27 15:00:46.705153: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1697] Adding visible gpu devices: 0
2020-02-27 15:00:46.705193: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.2
2020-02-27 15:00:47.875709: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1096] Device interconnect StreamExecutor with strength 1 edge matrix:
2020-02-27 15:00:47.875772: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102]      0
2020-02-27 15:00:47.875788: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] 0:   N
2020-02-27 15:00:47.878202: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1241] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10777 MB memory) -> physical GPU (device: 0, name: TITAN V, pci bus id: 0000:08:00.0, compute capability: 7.0)
WARNING:tensorflow:Skipping full serialization of Keras layer <efficientnet.MBConvBlock object at 0x7efcb36b56a0>, because it is not built.
WARNING:tensorflow:Skipping full serialization of Keras layer <efficientnet.MBConvBlock object at 0x7efcb36b76a0>, because it is not built.
WARNING:tensorflow:Skipping full serialization of Keras layer <efficientnet.MBConvBlock object at 0x7efcb36b8978>, because it is not built.
WARNING:tensorflow:Skipping full serialization of Keras layer <efficientnet.MBConvBlock object at 0x7efccf2d9d30>, because it is not built.
WARNING:tensorflow:Skipping full serialization of Keras layer <efficientnet.MBConvBlock object at 0x7efccf259ef0>, because it is not built.
WARNING:tensorflow:Skipping full serialization of Keras layer <efficientnet.MBConvBlock object at 0x7efccf259e48>, because it is not built.
WARNING:tensorflow:Skipping full serialization of Keras layer <efficientnet.MBConvBlock object at 0x7efccf201278>, because it is not built.
WARNING:tensorflow:Skipping full serialization of Keras layer <efficientnet.MBConvBlock object at 0x7efccf210400>, because it is not built.
WARNING:tensorflow:Skipping full serialization of Keras layer <efficientnet.MBConvBlock object at 0x7efccf21e668>, because it is not built.
WARNING:tensorflow:Skipping full serialization of Keras layer <efficientnet.MBConvBlock object at 0x7efccf1ac7f0>, because it is not built.
WARNING:tensorflow:Skipping full serialization of Keras layer <efficientnet.MBConvBlock object at 0x7efccf1bc978>, because it is not built.
WARNING:tensorflow:Skipping full serialization of Keras layer <efficientnet.MBConvBlock object at 0x7efccf1cac18>, because it is not built.
WARNING:tensorflow:Skipping full serialization of Keras layer <efficientnet.MBConvBlock object at 0x7efccf1d7dd8>, because it is not built.
WARNING:tensorflow:Skipping full serialization of Keras layer <efficientnet.MBConvBlock object at 0x7efccf1e5f98>, because it is not built.
WARNING:tensorflow:Skipping full serialization of Keras layer <efficientnet.MBConvBlock object at 0x7efccf182208>, because it is not built.
WARNING:tensorflow:Skipping full serialization of Keras layer <efficientnet.MBConvBlock object at 0x7efccf1914a8>, because it is not built.
WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/ops/resource_variable_ops.py:1786: calling BaseResourceVariable.__init__ (from tensorflow.python.ops.resource_variable_ops) with constraint is deprecated and will be removed in a future version.
Instructions for updating:
If using Keras pass *_constraint arguments to layers.
2020-02-27 15:01:13.556715: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libnvinfer.so.7
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_25184) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_25184) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_25184) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_25184) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_25184) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_25184) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_25184) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_25184) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_25184) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_25184) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_25184) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_25184) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_25184) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_25184) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_25184) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_25184) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_25184) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_25184) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_25184) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_25184) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_25184) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_25184) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_25184) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_25184) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_25184) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_25184) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_25184) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_25184) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_25184) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_25184) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_25184) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_25184) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_25184) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_25184) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_25184) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_25184) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_25184) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_25184) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_25184) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_25184) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_25184) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_25184) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_25184) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_25184) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_25184) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_25184) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_25184) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_25184) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_25184) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference___call___5773) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference___call___5773) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference___call___5773) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference___call___5773) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference___call___5773) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference___call___5773) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference___call___5773) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference___call___5773) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference___call___5773) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference___call___5773) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference___call___5773) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference___call___5773) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference___call___5773) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference___call___5773) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference___call___5773) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference___call___5773) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference___call___5773) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference___call___5773) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference___call___5773) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference___call___5773) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference___call___5773) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference___call___5773) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference___call___5773) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference___call___5773) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference___call___5773) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference___call___5773) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference___call___5773) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference___call___5773) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference___call___5773) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference___call___5773) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference___call___5773) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference___call___5773) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference___call___5773) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference___call___5773) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference___call___5773) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference___call___5773) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference___call___5773) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference___call___5773) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference___call___5773) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference___call___5773) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference___call___5773) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference___call___5773) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference___call___5773) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference___call___5773) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference___call___5773) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference___call___5773) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference___call___5773) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference___call___5773) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference___call___5773) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_14833) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_14833) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_14833) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_14833) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_14833) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_14833) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_14833) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_14833) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_14833) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_14833) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_14833) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_14833) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_14833) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_14833) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_14833) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_14833) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_14833) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_14833) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_14833) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_14833) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_14833) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_14833) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_14833) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_14833) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_14833) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_14833) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_14833) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_14833) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_14833) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_14833) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_14833) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_14833) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_14833) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_14833) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_14833) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_14833) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_14833) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_14833) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_14833) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_14833) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_14833) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_14833) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_14833) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_14833) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_14833) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_14833) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_14833) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_14833) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_14833) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_10559) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_10559) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_10559) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_10559) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_10559) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_10559) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_10559) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_10559) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_10559) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_10559) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_10559) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_10559) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_10559) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_10559) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_10559) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_10559) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_10559) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_10559) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_10559) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_10559) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_10559) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_10559) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_10559) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_10559) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_10559) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_10559) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_10559) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_10559) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_10559) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_10559) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_10559) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_10559) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_10559) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_10559) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_10559) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_10559) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_10559) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_10559) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_10559) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_10559) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_10559) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_10559) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_10559) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_10559) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_10559) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_10559) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_10559) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_10559) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_10559) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_8958) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_8958) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_8958) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_8958) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_8958) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_8958) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_8958) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_8958) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_8958) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_8958) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_8958) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_8958) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_8958) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_8958) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_8958) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_8958) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_8958) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_8958) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_8958) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_8958) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_8958) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_8958) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_8958) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_8958) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_8958) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_8958) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_8958) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_8958) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_8958) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_8958) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_8958) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_8958) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_8958) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_8958) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_8958) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_8958) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_8958) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_8958) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_8958) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_8958) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_8958) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_8958) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_8958) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_8958) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_8958) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_8958) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_8958) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_8958) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_8958) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_12916) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_12916) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_12916) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_12916) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_12916) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_12916) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_12916) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_12916) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_12916) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_12916) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_12916) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_12916) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_12916) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_12916) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_12916) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_12916) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_12916) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_12916) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_12916) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_12916) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_12916) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_12916) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_12916) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_12916) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_12916) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_12916) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_12916) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_12916) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_12916) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_12916) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_12916) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_12916) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_12916) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_12916) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_12916) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_12916) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_12916) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_12916) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_12916) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_12916) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_12916) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_12916) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_12916) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_12916) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_12916) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_12916) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_12916) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_12916) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_12916) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_26817) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_26817) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_26817) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_26817) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_26817) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_26817) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_26817) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_26817) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_26817) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_26817) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_26817) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_26817) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_26817) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_26817) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_26817) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_26817) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_26817) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_26817) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_26817) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_26817) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_26817) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_26817) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_26817) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_26817) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_26817) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_26817) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_26817) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_26817) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_26817) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_26817) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_26817) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_26817) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_26817) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_26817) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_26817) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_26817) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_26817) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_26817) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_26817) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_26817) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_26817) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_26817) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_26817) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_26817) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_26817) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_26817) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_26817) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_26817) with ops with custom gradients. Will likely fail if a gradient is requested.
WARNING:tensorflow:Importing a function (__inference_model_layer_call_and_return_conditional_losses_26817) with ops with custom gradients. Will likely fail if a gradient is requested.
2020-02-27 15:01:21.595617: I tensorflow/core/grappler/devices.cc:55] Number of eligible GPUs (core count >= 8, compute capability >= 0.0): 1
2020-02-27 15:01:21.595779: I tensorflow/core/grappler/clusters/single_machine.cc:356] Starting new session
2020-02-27 15:01:21.597073: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1555] Found device 0 with properties:
pciBusID: 0000:08:00.0 name: TITAN V computeCapability: 7.0
coreClock: 1.455GHz coreCount: 80 deviceMemorySize: 11.78GiB deviceMemoryBandwidth: 607.97GiB/s
2020-02-27 15:01:21.597126: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.2
2020-02-27 15:01:21.597152: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2020-02-27 15:01:21.597182: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2020-02-27 15:01:21.597204: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2020-02-27 15:01:21.597225: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2020-02-27 15:01:21.597248: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2020-02-27 15:01:21.597266: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2020-02-27 15:01:21.598431: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1697] Adding visible gpu devices: 0
2020-02-27 15:01:21.598473: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1096] Device interconnect StreamExecutor with strength 1 edge matrix:
2020-02-27 15:01:21.598488: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102]      0
2020-02-27 15:01:21.598501: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] 0:   N
2020-02-27 15:01:21.599745: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1241] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10777 MB memory) -> physical GPU (device: 0, name: TITAN V, pci bus id: 0000:08:00.0, compute capability: 7.0)
2020-02-27 15:01:21.684924: I tensorflow/core/grappler/optimizers/meta_optimizer.cc:841] Optimization results for grappler item: graph_to_optimize
2020-02-27 15:01:21.684968: I tensorflow/core/grappler/optimizers/meta_optimizer.cc:843]   function_optimizer: Graph size after: 1612 nodes (1298), 3048 edges (2734), time = 50.653ms.
2020-02-27 15:01:21.684981: I tensorflow/core/grappler/optimizers/meta_optimizer.cc:843]   function_optimizer: function_optimizer did nothing. time = 0.88ms.
2020-02-27 15:01:23.573166: I tensorflow/core/grappler/devices.cc:55] Number of eligible GPUs (core count >= 8, compute capability >= 0.0): 1
2020-02-27 15:01:23.573660: I tensorflow/core/grappler/clusters/single_machine.cc:356] Starting new session
2020-02-27 15:01:23.574864: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1555] Found device 0 with properties:
pciBusID: 0000:08:00.0 name: TITAN V computeCapability: 7.0
coreClock: 1.455GHz coreCount: 80 deviceMemorySize: 11.78GiB deviceMemoryBandwidth: 607.97GiB/s
2020-02-27 15:01:23.574914: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.2
2020-02-27 15:01:23.574940: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2020-02-27 15:01:23.574966: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2020-02-27 15:01:23.574987: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2020-02-27 15:01:23.575006: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2020-02-27 15:01:23.575026: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2020-02-27 15:01:23.575044: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2020-02-27 15:01:23.576209: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1697] Adding visible gpu devices: 0
2020-02-27 15:01:23.576256: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1096] Device interconnect StreamExecutor with strength 1 edge matrix:
2020-02-27 15:01:23.576273: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102]      0
2020-02-27 15:01:23.576287: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] 0:   N
2020-02-27 15:01:23.577518: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1241] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10777 MB memory) -> physical GPU (device: 0, name: TITAN V, pci bus id: 0000:08:00.0, compute capability: 7.0)
2020-02-27 15:01:24.310026: I tensorflow/compiler/tf2tensorrt/segment/segment.cc:460] There are 58 ops of 6 different types in the graph that are not converted to TensorRT: IdentityN, Reshape, Identity, Cast, NoOp, Placeholder, (For more information see https://docs.nvidia.com/deeplearning/frameworks/tf-trt-user-guide/index.html#supported-ops).
2020-02-27 15:01:24.427240: I tensorflow/compiler/tf2tensorrt/convert/convert_graph.cc:636] Number of TensorRT candidate segments: 50
2020-02-27 15:01:24.481901: I tensorflow/compiler/tf2tensorrt/convert/convert_graph.cc:737] Replaced segment 0 consisting of 9 nodes by StatefulPartitionedCall/model/blocks_0/bn1/TRTEngineOp_0.
2020-02-27 15:01:24.482110: I tensorflow/compiler/tf2tensorrt/convert/convert_graph.cc:737] Replaced segment 1 consisting of 21 nodes by StatefulPartitionedCall/model/TRTEngineOp_1.
2020-02-27 15:01:24.482278: I tensorflow/compiler/tf2tensorrt/convert/convert_graph.cc:737] Replaced segment 2 consisting of 7 nodes by StatefulPartitionedCall/model/blocks_0/se/TRTEngineOp_2.
2020-02-27 15:01:24.482388: I tensorflow/compiler/tf2tensorrt/convert/convert_graph.cc:737] Replaced segment 3 consisting of 9 nodes by StatefulPartitionedCall/model/blocks_1/bn1/TRTEngineOp_3.
2020-02-27 15:01:24.482528: I tensorflow/compiler/tf2tensorrt/convert/convert_graph.cc:737] Replaced segment 4 consisting of 21 nodes by StatefulPartitionedCall/model/TRTEngineOp_4.
2020-02-27 15:01:24.482732: I tensorflow/compiler/tf2tensorrt/convert/convert_graph.cc:737] Replaced segment 5 consisting of 7 nodes by StatefulPartitionedCall/model/blocks_1/se/TRTEngineOp_5.
2020-02-27 15:01:24.482847: I tensorflow/compiler/tf2tensorrt/convert/convert_graph.cc:737] Replaced segment 6 consisting of 9 nodes by StatefulPartitionedCall/model/blocks_10/bn1/TRTEngineOp_6.
2020-02-27 15:01:24.482995: I tensorflow/compiler/tf2tensorrt/convert/convert_graph.cc:737] Replaced segment 7 consisting of 22 nodes by StatefulPartitionedCall/model/TRTEngineOp_7.
2020-02-27 15:01:24.483192: I tensorflow/compiler/tf2tensorrt/convert/convert_graph.cc:737] Replaced segment 8 consisting of 22 nodes by StatefulPartitionedCall/model/TRTEngineOp_8.
2020-02-27 15:01:24.483363: I tensorflow/compiler/tf2tensorrt/convert/convert_graph.cc:737] Replaced segment 9 consisting of 7 nodes by StatefulPartitionedCall/model/blocks_10/se/TRTEngineOp_9.
2020-02-27 15:01:24.483488: I tensorflow/compiler/tf2tensorrt/convert/convert_graph.cc:737] Replaced segment 10 consisting of 9 nodes by StatefulPartitionedCall/model/blocks_11/bn1/TRTEngineOp_10.
2020-02-27 15:01:24.483634: I tensorflow/compiler/tf2tensorrt/convert/convert_graph.cc:737] Replaced segment 11 consisting of 21 nodes by StatefulPartitionedCall/model/TRTEngineOp_11.
2020-02-27 15:01:24.483808: I tensorflow/compiler/tf2tensorrt/convert/convert_graph.cc:737] Replaced segment 12 consisting of 7 nodes by StatefulPartitionedCall/model/blocks_11/se/TRTEngineOp_12.
2020-02-27 15:01:24.483928: I tensorflow/compiler/tf2tensorrt/convert/convert_graph.cc:737] Replaced segment 13 consisting of 9 nodes by StatefulPartitionedCall/model/blocks_12/bn1/TRTEngineOp_13.
2020-02-27 15:01:24.484072: I tensorflow/compiler/tf2tensorrt/convert/convert_graph.cc:737] Replaced segment 14 consisting of 22 nodes by StatefulPartitionedCall/model/TRTEngineOp_14.
2020-02-27 15:01:24.484237: I tensorflow/compiler/tf2tensorrt/convert/convert_graph.cc:737] Replaced segment 15 consisting of 7 nodes by StatefulPartitionedCall/model/blocks_12/se/TRTEngineOp_15.
2020-02-27 15:01:24.484357: I tensorflow/compiler/tf2tensorrt/convert/convert_graph.cc:737] Replaced segment 16 consisting of 9 nodes by StatefulPartitionedCall/model/blocks_13/bn1/TRTEngineOp_16.
2020-02-27 15:01:24.484495: I tensorflow/compiler/tf2tensorrt/convert/convert_graph.cc:737] Replaced segment 17 consisting of 22 nodes by StatefulPartitionedCall/model/TRTEngineOp_17.
2020-02-27 15:01:24.484669: I tensorflow/compiler/tf2tensorrt/convert/convert_graph.cc:737] Replaced segment 18 consisting of 7 nodes by StatefulPartitionedCall/model/blocks_13/se/TRTEngineOp_18.
2020-02-27 15:01:24.484786: I tensorflow/compiler/tf2tensorrt/convert/convert_graph.cc:737] Replaced segment 19 consisting of 9 nodes by StatefulPartitionedCall/model/blocks_14/bn1/TRTEngineOp_19.
2020-02-27 15:01:24.484921: I tensorflow/compiler/tf2tensorrt/convert/convert_graph.cc:737] Replaced segment 20 consisting of 22 nodes by StatefulPartitionedCall/model/TRTEngineOp_20.
2020-02-27 15:01:24.485092: I tensorflow/compiler/tf2tensorrt/convert/convert_graph.cc:737] Replaced segment 21 consisting of 7 nodes by StatefulPartitionedCall/model/blocks_14/se/TRTEngineOp_21.
2020-02-27 15:01:24.485207: I tensorflow/compiler/tf2tensorrt/convert/convert_graph.cc:737] Replaced segment 22 consisting of 9 nodes by StatefulPartitionedCall/model/blocks_15/bn1/TRTEngineOp_22.
2020-02-27 15:01:24.485371: I tensorflow/compiler/tf2tensorrt/convert/convert_graph.cc:737] Replaced segment 23 consisting of 21 nodes by StatefulPartitionedCall/model/TRTEngineOp_23.
2020-02-27 15:01:24.485541: I tensorflow/compiler/tf2tensorrt/convert/convert_graph.cc:737] Replaced segment 24 consisting of 7 nodes by StatefulPartitionedCall/model/blocks_15/se/TRTEngineOp_24.
2020-02-27 15:01:24.485658: I tensorflow/compiler/tf2tensorrt/convert/convert_graph.cc:737] Replaced segment 25 consisting of 9 nodes by StatefulPartitionedCall/model/blocks_2/bn1/TRTEngineOp_25.
2020-02-27 15:01:24.485808: I tensorflow/compiler/tf2tensorrt/convert/convert_graph.cc:737] Replaced segment 26 consisting of 22 nodes by StatefulPartitionedCall/model/TRTEngineOp_26.
2020-02-27 15:01:24.485956: I tensorflow/compiler/tf2tensorrt/convert/convert_graph.cc:737] Replaced segment 27 consisting of 7 nodes by StatefulPartitionedCall/model/blocks_2/se/TRTEngineOp_27.
2020-02-27 15:01:24.486077: I tensorflow/compiler/tf2tensorrt/convert/convert_graph.cc:737] Replaced segment 28 consisting of 9 nodes by StatefulPartitionedCall/model/blocks_3/bn1/TRTEngineOp_28.
2020-02-27 15:01:24.486227: I tensorflow/compiler/tf2tensorrt/convert/convert_graph.cc:737] Replaced segment 29 consisting of 21 nodes by StatefulPartitionedCall/model/TRTEngineOp_29.
2020-02-27 15:01:24.486417: I tensorflow/compiler/tf2tensorrt/convert/convert_graph.cc:737] Replaced segment 30 consisting of 7 nodes by StatefulPartitionedCall/model/blocks_3/se/TRTEngineOp_30.
2020-02-27 15:01:24.486524: I tensorflow/compiler/tf2tensorrt/convert/convert_graph.cc:737] Replaced segment 31 consisting of 9 nodes by StatefulPartitionedCall/model/blocks_4/bn1/TRTEngineOp_31.
2020-02-27 15:01:24.486667: I tensorflow/compiler/tf2tensorrt/convert/convert_graph.cc:737] Replaced segment 32 consisting of 22 nodes by StatefulPartitionedCall/model/TRTEngineOp_32.
2020-02-27 15:01:24.486832: I tensorflow/compiler/tf2tensorrt/convert/convert_graph.cc:737] Replaced segment 33 consisting of 7 nodes by StatefulPartitionedCall/model/blocks_4/se/TRTEngineOp_33.
2020-02-27 15:01:24.486936: I tensorflow/compiler/tf2tensorrt/convert/convert_graph.cc:737] Replaced segment 34 consisting of 9 nodes by StatefulPartitionedCall/model/blocks_5/bn1/TRTEngineOp_34.
2020-02-27 15:01:24.487069: I tensorflow/compiler/tf2tensorrt/convert/convert_graph.cc:737] Replaced segment 35 consisting of 21 nodes by StatefulPartitionedCall/model/TRTEngineOp_35.
2020-02-27 15:01:24.487224: I tensorflow/compiler/tf2tensorrt/convert/convert_graph.cc:737] Replaced segment 36 consisting of 7 nodes by StatefulPartitionedCall/model/blocks_5/se/TRTEngineOp_36.
2020-02-27 15:01:24.487333: I tensorflow/compiler/tf2tensorrt/convert/convert_graph.cc:737] Replaced segment 37 consisting of 9 nodes by StatefulPartitionedCall/model/blocks_6/bn1/TRTEngineOp_37.
2020-02-27 15:01:24.487466: I tensorflow/compiler/tf2tensorrt/convert/convert_graph.cc:737] Replaced segment 38 consisting of 22 nodes by StatefulPartitionedCall/model/TRTEngineOp_38.
2020-02-27 15:01:24.487619: I tensorflow/compiler/tf2tensorrt/convert/convert_graph.cc:737] Replaced segment 39 consisting of 7 nodes by StatefulPartitionedCall/model/blocks_6/se/TRTEngineOp_39.
2020-02-27 15:01:24.487730: I tensorflow/compiler/tf2tensorrt/convert/convert_graph.cc:737] Replaced segment 40 consisting of 9 nodes by StatefulPartitionedCall/model/blocks_7/bn1/TRTEngineOp_40.
2020-02-27 15:01:24.487862: I tensorflow/compiler/tf2tensorrt/convert/convert_graph.cc:737] Replaced segment 41 consisting of 22 nodes by StatefulPartitionedCall/model/TRTEngineOp_41.
2020-02-27 15:01:24.488007: I tensorflow/compiler/tf2tensorrt/convert/convert_graph.cc:737] Replaced segment 42 consisting of 7 nodes by StatefulPartitionedCall/model/blocks_7/se/TRTEngineOp_42.
2020-02-27 15:01:24.488109: I tensorflow/compiler/tf2tensorrt/convert/convert_graph.cc:737] Replaced segment 43 consisting of 9 nodes by StatefulPartitionedCall/model/blocks_8/bn1/TRTEngineOp_43.
2020-02-27 15:01:24.488247: I tensorflow/compiler/tf2tensorrt/convert/convert_graph.cc:737] Replaced segment 44 consisting of 21 nodes by StatefulPartitionedCall/model/TRTEngineOp_44.
2020-02-27 15:01:24.488385: I tensorflow/compiler/tf2tensorrt/convert/convert_graph.cc:737] Replaced segment 45 consisting of 7 nodes by StatefulPartitionedCall/model/blocks_8/se/TRTEngineOp_45.
2020-02-27 15:01:24.488495: I tensorflow/compiler/tf2tensorrt/convert/convert_graph.cc:737] Replaced segment 46 consisting of 9 nodes by StatefulPartitionedCall/model/blocks_9/bn1/TRTEngineOp_46.
2020-02-27 15:01:24.488605: I tensorflow/compiler/tf2tensorrt/convert/convert_graph.cc:737] Replaced segment 47 consisting of 7 nodes by StatefulPartitionedCall/model/blocks_9/se/TRTEngineOp_47.
2020-02-27 15:01:24.488704: I tensorflow/compiler/tf2tensorrt/convert/convert_graph.cc:737] Replaced segment 48 consisting of 9 nodes by TRTEngineOp_48.

At this point python converter code crashes

When running under gdb, here is a null pointer dereference of tensorflow::Node:
...
2020-02-27 15:24:00.726184: I tensorflow/compiler/tf2tensorrt/convert/convert_graph.cc:737] Replaced segment 47 consisting of 7 nodes by StatefulPartitionedCall/model/blocks_9/se/TRTEngineOp_47.
2020-02-27 15:24:00.726261: I tensorflow/compiler/tf2tensorrt/convert/convert_graph.cc:737] Replaced segment 48 consisting of 9 nodes by TRTEngineOp_48.

Thread 1 "python3" received signal SIGSEGV, Segmentation fault.
0x00007fff674b4271 in tensorflow::Node::name() const () from /usr/local/lib/python3.6/dist-packages/tensorflow_core/python/../libtensorflow_framework.so.2
(gdb) x/i $rip
=> 0x7fff674b4271 <_ZNK10tensorflow4Node4nameEv+1>:	mov    0x90(%rdi),%rax
(gdb) p/x $rdi
$2 = 0x0

On tf-nightly this does not segfault, but nevertheless fails with
OP_REQUIRES failed at trt_engine_resource_ops.cc:196 : Not found: Container TF-TRT does not exist. (Could not find resource: TF-TRT/TRTEngineOp_15)

@bixia1 can you PTAL?

@sanjoy I can confirm that Efficient-Net D1 fails as you indicate in our application code (by that I mean, not a test.)
2020-11-07 00:15:18.393082: W tensorflow/core/framework/op_kernel.cc:1767] OP_REQUIRES failed at trt_engine_resource_ops.cc:196 : Not found: Container TF-TRT does not exist. (Could not find resource: TF-TRT/TRTEngineOp_0_0)

2020-11-07 00:15:18.394636: W tensorflow/core/framework/op_kernel.cc:1767] OP_REQUIRES failed at trt_engine_resource_ops.cc:196 : Not found: Container TF-TRT does not exist. (Could not find resource: TF-TRT/TRTEngineOp_0_1)

till TRTEngineOp_0_59

@bioothod Could you please try on latest stable version of tf 2.5 or 2.4.1 and let us know if this is still an issue.Thanks!

Hey @sushreebarsa , works fine with 2.4.1

Thank you for your update, glad its working fine for you, kindly move this issue to closed status as it is resolved.


disable click on sort button

Guidelines

Please include a demo of the issue/behavior/question you have

Please try to be as detailed as possible

You may fork one of the following starter templates if you would like:

CodeSandbox

StackBlitz

hello. I am using the material table well.
Is it possible that the sort function exists only in desc in the columns button and the button click is disabled?

You can override the sort function or the defaultSort on the column to force a specific sort direction.


material-ui autocomplete selection of filtered list

I am using AutoComplete in my react application. Everything works fine except the fact that after filtering the result, I have to press down twice to reach the menu selection. Is this the expected behavior ? Is there a way to autoselect first item in the list or some other workaround.

Dupe of #2596.
https://github.com/callemall/material-ui/blob/master/CONTRIBUTING.md#opening-an-issue


Wrong type for host_uptime metric

host_uptime metrics records the uptime of the OS in seconds, and is currently stored as an int64. We should store it at float64 to match the standard other projects use. e.g.:

prometheus node_exporter example
Stackdriver monitoring agent example

We eventually decided to keep host_uptime as int64:

because the metric collection granularity is about once-per-minute, having an uptime measurement with sub-second granularity doesn't really help much at here.


对于一个页面多个图表无法显示

一个页面上绑定多个图表，只显示一个，其他只占位不显示图表

@HiCody 多图表显示你解决了么？？我也遇到这样的问题

@HiCody 估计要动态绑定canvasId  可以试一下

canvasId 好像不能动态赋值 我试过了不行 所以每个表都写了一边 赋值不同的canvasId

canvasId动态赋值了也不行，求解

外面套个if

@mangoooooo 这样真的可以啊，为什么吗？

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partrt: Retry if write fails with EBUSY

Setting CPU offline or online may fail with EBUSY if some other code is
within cpu_hotplug_disable/enable() section. Make the write function
retry for 5s if write fails with EBUSY.
Use uptime for the timeout to not be affected by time changes.

Looks all good to me, thanks!


no entitlement info in the local cache - pico4

Description
runs fine for roughly 1 minute before crashing and returning "no entitlement info in the local cache" error message on the pico desktop.
General Troubleshooting

I carefully followed the instructions in the README and successfully completed the setup wizard
I read the ALVR Wikis here and here

Environment
Hardware
(https://linux-hardware.org/?probe=15d7862757)
CPU:
AMD Ryzen 7 3800X
GPU:
NVIDIA GeForce RTX 3070
GPU Driver Version:
535.54.03
Audio:
pulse
Installation
ALVR Version:
20.1.0
ALVR Settings File:
default settings
SteamVR Version:
same issue on both beta and stable branch of steam vr
Install Type:
alvr - aur
OS Name and Version (winver on Windows or grep PRETTY_NAME /etc/os-release on most Linux distributions):
PRETTY_NAME="Arch Linux"

@OolooOtsoop can I ask what was your Pico system version at the time when this started happening?

At the time i was using version 5.6.0.


PHP 7.1.11 Curl Plugin issue

Environment
PHP 7.1.11
Centos 7.4
php-c-agent 1.60 from git clone https://github.com/naver/pinpoint-c-agent.git
boost 1.63
thrift 0.11
Followed steps from https://github.com/naver/pinpoint-c-agent/tree/dev
I am unable to resolve this issue . Whenever I embed pinpoint-c-agent in my php.ini. I start to get SEGMENTATION FAULT errors in my apache logs.
And the pinpoint log contains the following lines:
16:02:15 [pinpoint] [30336] php_common.cpp:961 [ERROR] w_zend_call_method throw: [exception: Undefined index: Resource id #501 in /opt/pinpoint-c-agent/quickstart/php/web/plugins/curl_plugin.php on line 37]
16:02:15 [pinpoint] [30336] php_interfaces.cpp:969 [ERROR] Interceptor name=[curl_exec] onbefore failed!!! please check your code!!!
16:02:15 [pinpoint] [30336] trace.cpp:481 [ERROR] mark bad trace !!! check your plugins...
It would be nice if anyone could help me out. I am a newbie in pinpoint

No. I am not using PHP multi thread

@ChenGXQQ

@ChenGXQQ  We are not using PHP multi Thread.
It would be nice if you can help with this. I am struggling with this past few days.

@riteshsoni10 Can you give us more information? How does your PHP configure? The compile option? The php.ini file? and the core file of SEGMENTATION FAULT? And what mode of you apache? (We don't support workers)

@riteshsoni10
Can you tell me which version you checkout? the commit id.

@riteshsoni10
which cgi you used, libphp5.so or php-fpm ?
We can't reproduce it, pls give us more information, if it convenient.

full pinpint_agent.log
httpd.conf
gcc verion

@riteshsoni10
Can you give us the PHP file you visited? Or tell us how you call curl functions.

@ChenGXQQ
I am more concerned with the SEGMENTATION faults that starts arriving in my apache error logs as soon as i embedd php-c-agent in my php .
And being the production environment I cant help it out and have to immediately remove the plugin as it causes error at the client side

@ChenGXQQ @eeliu Callstack is variable for different APIs. We're using laravel and having around 150 APIs. So these APIs lands to different controllers and access through Models and libraries.

@riteshsoni10
Hi, if you use laravel . I strongly recommand you update the pinpint-agent to v0.2.0 . It fully supports ZTS and curl, hope you to use it.


Is there a difference between using ConsumerWidget and Consumer?

If I've one item or few items that needs to update when provider's state change, I can 1. Use StatelessWidget and wrap those items with Consumer 2. Use ConsumerWidget and declare variable to that provider inside build using ref.watch and use it easily with the items. I like the second approach as it's more readable code, but is there any difference between them in terms of performance?
I've tried to find an answer in the riverpod dev docs but couldn't.

There's no difference. Consumer is a ConsumerWidget

On docs it's said that Consumer can be used to listen to providers inside a StatefulWidget or to rebuild as few widgets as possible when a provider updates.
While on ConsumerWidget class doc it's said for performance optimizations, see Consumer. What's meant with that performance optimization? Does using Consumer just around widgets that need to be updated instead of using ConsumerWidget better for performance?
Thank you!

It's because Consumer is convenient for rebuilding only a single widget:
Scaffold(
  body: Consumer(
    builder: (context, ref, child) {
      final value = ref.watch(provider);
      return Text('$value');
    },
 ),
);

Doing this will rebuild only the Text  not the Scaffold
You could do the same with ConsumerWidget. But it's less convenient as you'd need to define a new widget just for the Text

Thanks you!


fix trivy workflow

This should scan the latest-os_version tag for all images.

Already fixed by #43