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ROCm RX580 MNIST

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Jan 25th, 2021
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  1. /usr/bin/python3.8 /home/boris/PycharmProjects/keras-mnist/main.py
  2. Downloading data from https://storage.googleapis.com/tensorflow/tf-keras-datasets/mnist.npz
  3. 11493376/11490434 [==============================] - 1s 0us/step
  4. x_train shape: (60000, 28, 28, 1)
  5. 60000 train samples
  6. 10000 test samples
  7. 2021-01-25 11:24:12.072793: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set
  8. 2021-01-25 11:24:12.073012: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libamdhip64.so
  9. 2021-01-25 11:24:12.149668: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1738] Found device 0 with properties:
  10. pciBusID: 0000:1d:00.0 name: Ellesmere [Radeon RX 470/480/570/570X/580/580X/590]     ROCm AMD GPU ISA: gfx803
  11. coreClock: 1.266GHz coreCount: 36 deviceMemorySize: 8.00GiB deviceMemoryBandwidth: 119.21GiB/s
  12. 2021-01-25 11:24:12.152244: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library librocblas.so
  13. 2021-01-25 11:24:12.153433: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libMIOpen.so
  14. 2021-01-25 11:24:12.165157: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library librocfft.so
  15. 2021-01-25 11:24:12.165443: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library librocrand.so
  16. 2021-01-25 11:24:12.165538: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0
  17. 2021-01-25 11:24:12.165802: 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
  18. To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
  19. 2021-01-25 11:24:12.166301: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set
  20. 2021-01-25 11:24:12.166364: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1738] Found device 0 with properties:
  21. pciBusID: 0000:1d:00.0 name: Ellesmere [Radeon RX 470/480/570/570X/580/580X/590]     ROCm AMD GPU ISA: gfx803
  22. coreClock: 1.266GHz coreCount: 36 deviceMemorySize: 8.00GiB deviceMemoryBandwidth: 119.21GiB/s
  23. 2021-01-25 11:24:12.166381: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library librocblas.so
  24. 2021-01-25 11:24:12.166389: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libMIOpen.so
  25. 2021-01-25 11:24:12.166396: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library librocfft.so
  26. 2021-01-25 11:24:12.166403: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library librocrand.so
  27. 2021-01-25 11:24:12.166453: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0
  28. 2021-01-25 11:24:12.166513: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix:
  29. 2021-01-25 11:24:12.166521: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267]      0
  30. 2021-01-25 11:24:12.166525: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0:   N
  31. 2021-01-25 11:24:12.166630: 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: 0000:1d:00.0)
  32. Model: "sequential"
  33. _________________________________________________________________
  34. Layer (type)                 Output Shape              Param #  
  35. =================================================================
  36. conv2d (Conv2D)              (None, 26, 26, 32)        320      
  37. _________________________________________________________________
  38. max_pooling2d (MaxPooling2D) (None, 13, 13, 32)        0        
  39. _________________________________________________________________
  40. conv2d_1 (Conv2D)            (None, 11, 11, 64)        18496    
  41. _________________________________________________________________
  42. max_pooling2d_1 (MaxPooling2 (None, 5, 5, 64)          0        
  43. _________________________________________________________________
  44. flatten (Flatten)            (None, 1600)              0        
  45. _________________________________________________________________
  46. dropout (Dropout)            (None, 1600)              0        
  47. _________________________________________________________________
  48. dense (Dense)                (None, 10)                16010    
  49. =================================================================
  50. Total params: 34,826
  51. Trainable params: 34,826
  52. Non-trainable params: 0
  53. _________________________________________________________________
  54. 2021-01-25 11:24:14.057724: W tensorflow/core/framework/cpu_allocator_impl.cc:80] Allocation of 169344000 exceeds 10% of free system memory.
  55. 2021-01-25 11:24:14.332118: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2)
  56. 2021-01-25 11:24:14.408011: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 3393200000 Hz
  57. Epoch 1/15
  58. 2021-01-25 11:24:15.355843: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library librocblas.so
  59. 2021-01-25 11:24:15.527084: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libMIOpen.so
  60. 422/422 [==============================] - 46s 29ms/step - loss: 0.8014 - accuracy: 0.7674 - val_loss: 0.1141 - val_accuracy: 0.9705
  61. Epoch 2/15
  62. 422/422 [==============================] - 2s 5ms/step - loss: 0.1795 - accuracy: 0.9514 - val_loss: 0.1155 - val_accuracy: 0.9752
  63. Epoch 3/15
  64. 422/422 [==============================] - 2s 5ms/step - loss: 0.2143 - accuracy: 0.9564 - val_loss: 0.0812 - val_accuracy: 0.9798
  65. Epoch 4/15
  66. 422/422 [==============================] - 2s 5ms/step - loss: 0.1167 - accuracy: 0.9666 - val_loss: 0.0878 - val_accuracy: 0.9815
  67. Epoch 5/15
  68. 422/422 [==============================] - 2s 5ms/step - loss: 0.1367 - accuracy: 0.9662 - val_loss: 0.0670 - val_accuracy: 0.9838
  69. Epoch 6/15
  70. 422/422 [==============================] - 2s 5ms/step - loss: 0.1081 - accuracy: 0.9716 - val_loss: 0.0560 - val_accuracy: 0.9848
  71. Epoch 7/15
  72. 422/422 [==============================] - 2s 5ms/step - loss: 0.0967 - accuracy: 0.9740 - val_loss: 0.0571 - val_accuracy: 0.9847
  73. Epoch 8/15
  74. 422/422 [==============================] - 2s 5ms/step - loss: 0.0843 - accuracy: 0.9752 - val_loss: 0.0632 - val_accuracy: 0.9855
  75. Epoch 9/15
  76. 422/422 [==============================] - 2s 5ms/step - loss: 0.0962 - accuracy: 0.9755 - val_loss: 0.0486 - val_accuracy: 0.9872
  77. Epoch 10/15
  78. 422/422 [==============================] - 2s 5ms/step - loss: 0.0908 - accuracy: 0.9761 - val_loss: 0.0481 - val_accuracy: 0.9883
  79. Epoch 11/15
  80. 422/422 [==============================] - 2s 5ms/step - loss: 0.0698 - accuracy: 0.9797 - val_loss: 0.0425 - val_accuracy: 0.9895
  81. Epoch 12/15
  82. 422/422 [==============================] - 2s 5ms/step - loss: 0.0696 - accuracy: 0.9792 - val_loss: 0.0479 - val_accuracy: 0.9885
  83. Epoch 13/15
  84. 422/422 [==============================] - 2s 5ms/step - loss: 0.0693 - accuracy: 0.9813 - val_loss: 0.0431 - val_accuracy: 0.9892
  85. Epoch 14/15
  86. 422/422 [==============================] - 2s 5ms/step - loss: 0.0603 - accuracy: 0.9825 - val_loss: 0.0493 - val_accuracy: 0.9885
  87. Epoch 15/15
  88. 422/422 [==============================] - 2s 5ms/step - loss: 0.0592 - accuracy: 0.9831 - val_loss: 0.0414 - val_accuracy: 0.9898
  89. Test loss: 0.047726474702358246
  90. Test accuracy: 0.9864000082015991
  91.  
  92. Process finished with exit code 0
  93.  
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