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Help reading output

See original GitHub issue
2021-09-05 11:47:16.558264: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set
2021-09-05 11:47:16.558398: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libamdhip64.so
2021-09-05 11:47:16.764310: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1734] Found device 0 with properties: 
pciBusID: 0000:09:00.0 name: Ellesmere [Radeon RX 470/480/570/570X/580/580X/590]     ROCm AMDGPU Arch: gfx803
coreClock: 1.286GHz coreCount: 32 deviceMemorySize: 8.00GiB deviceMemoryBandwidth: 104.31GiB/s
2021-09-05 11:47:16.816826: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library librocblas.so
2021-09-05 11:47:16.845041: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libMIOpen.so
2021-09-05 11:47:17.046085: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libhipfft.so
2021-09-05 11:47:17.049131: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library librocrand.so
2021-09-05 11:47:17.049283: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1858] Adding visible gpu devices: 0
2021-09-05 11:47:17.049576: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  SSE3 SSE4.1 SSE4.2 AVX AVX2 FMA
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
2021-09-05 11:47:17.050033: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set
2021-09-05 11:47:17.050148: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1734] Found device 0 with properties: 
pciBusID: 0000:09:00.0 name: Ellesmere [Radeon RX 470/480/570/570X/580/580X/590]     ROCm AMDGPU Arch: gfx803
coreClock: 1.286GHz coreCount: 32 deviceMemorySize: 8.00GiB deviceMemoryBandwidth: 104.31GiB/s
2021-09-05 11:47:17.050181: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library librocblas.so
2021-09-05 11:47:17.050206: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libMIOpen.so
2021-09-05 11:47:17.050230: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libhipfft.so
2021-09-05 11:47:17.050253: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library librocrand.so
2021-09-05 11:47:17.050379: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1858] Adding visible gpu devices: 0
2021-09-05 11:47:17.050739: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix:
2021-09-05 11:47:17.050750: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267]      0 
2021-09-05 11:47:17.050755: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0:   N 
2021-09-05 11:47:17.050913: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 7700 MB memory) -> physical GPU (device: 0, name: Ellesmere [Radeon RX 470/480/570/570X/580/580X/590], pci bus id: 0000:09:00.0)
WARNING:tensorflow:No training configuration found in the save file, so the model was *not* compiled. Compile it manually.
Tags of /media/da3dsoul/Golias/Media/Pictures/Public/92400803_p4.jpg:
2021-09-05 11:47:20.534415: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2)
2021-09-05 11:47:20.554107: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 3792885000 Hz
2021-09-05 11:47:22.564449: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library libMIOpen.so
2021-09-05 11:47:24.485907: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Successfully opened dynamic library librocblas.so

Can you help me decipher the meaning of some of this? I can’t tell if it actually worked and just didn’t have enough training to give tags on the image, or if something got in the way. The things I would expect to be a problem, if anything, is it not compiling the model or using MLIR optimizations.

I used

deepdanbooru evaluate "/media/da3dsoul/Golias/Media/Pictures/Public/92400803_p4.jpg" --project-path /media/da3dsoul/Golias/DeepDanbooru/unbooru_model/ --allow-gpu --compile

Issue Analytics

  • State:closed
  • Created 2 years ago
  • Comments:25 (9 by maintainers)

github_iconTop GitHub Comments

1reaction
da3dsoulcommented, Sep 17, 2021

First epoch yielded results! They weren’t perfect results, but I wouldn’t expect it. I have it queued for another 9 epochs. Thank you for all your help so far

1reaction
da3dsoulcommented, Sep 13, 2021

Would it be expected to have results (even if they aren’t very accurate) after only 2 epochs on the entire danbooru2020 dataset? I just finished another epoch, and a picture which I think has some pretty clear features is giving no results. Even with a threshold of 0.1, it gives nothing. Here’s my test image. I’ve tried several others, but it seems good HonkaiBanner

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