Renamed pkl to HDF5
Browse files- Checkpoints/{exp3multif0.pkl → exp3multif0.h5} +0 -0
- app_test.ipynb +23 -4
- cqfe_models.py +2 -1
Checkpoints/{exp3multif0.pkl → exp3multif0.h5}
RENAMED
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app_test.ipynb
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"cells": [
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{
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"cell_type": "code",
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"execution_count":
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"data": {
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"text/plain": []
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"execution_count":
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"metadata": {},
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"output_type": "execute_result"
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"1/1 [==============================] - 10s 10s/step\n",
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"1/1 [==============================] - 10s 10s/step\n",
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"1/1 [==============================] - 5s 5s/step\n",
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"1/1 [==============================] - 1s
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"1/1 [==============================] -
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"cells": [
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {},
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"/home/and/miniconda3/envs/cqfe/lib/python3.11/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
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" from .autonotebook import tqdm as notebook_tqdm\n",
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"2024-08-03 12:21:43.656166: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not find cuda drivers on your machine, GPU will not be used.\n",
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"2024-08-03 12:21:43.696083: E tensorflow/compiler/xla/stream_executor/cuda/cuda_dnn.cc:9342] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n",
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"2024-08-03 12:21:43.696120: E tensorflow/compiler/xla/stream_executor/cuda/cuda_fft.cc:609] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n",
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"2024-08-03 12:21:43.696157: E tensorflow/compiler/xla/stream_executor/cuda/cuda_blas.cc:1518] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n",
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"2024-08-03 12:21:43.703335: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not find cuda drivers on your machine, GPU will not be used.\n",
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"2024-08-03 12:21:43.704201: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\n",
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"To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n",
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"2024-08-03 12:21:44.529426: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n",
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"2024-08-03 12:21:45.118823: I tensorflow/compiler/xla/stream_executor/cuda/cuda_gpu_executor.cc:894] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero. See more at https://github.com/torvalds/linux/blob/v6.0/Documentation/ABI/testing/sysfs-bus-pci#L344-L355\n",
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"2024-08-03 12:21:45.162904: W tensorflow/core/common_runtime/gpu/gpu_device.cc:2211] Cannot dlopen some GPU libraries. Please make sure the missing libraries mentioned above are installed properly if you would like to use GPU. Follow the guide at https://www.tensorflow.org/install/gpu for how to download and setup the required libraries for your platform.\n",
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"Skipping registering GPU devices...\n"
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]
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},
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{
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"name": "stdout",
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"output_type": "stream",
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"data": {
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"text/plain": []
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"execution_count": 1,
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"metadata": {},
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"output_type": "execute_result"
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},
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"1/1 [==============================] - 10s 10s/step\n",
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"1/1 [==============================] - 10s 10s/step\n",
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"1/1 [==============================] - 5s 5s/step\n",
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"1/1 [==============================] - 1s 871ms/step\n",
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"1/1 [==============================] - 1s 506ms/step\n"
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]
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}
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],
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cqfe_models.py
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import tensorflow as tf
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from tensorflow.keras import Model
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from tensorflow.keras.optimizers import Adam
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@@ -295,7 +296,7 @@ def late_deep_cnn_model():
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optimizer='adam'
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)
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model.load_weights('./Checkpoints/exp3multif0.
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return model
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import pickle
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import tensorflow as tf
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from tensorflow.keras import Model
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from tensorflow.keras.optimizers import Adam
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optimizer='adam'
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)
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model.load_weights('./Checkpoints/exp3multif0.h5')
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return model
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