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Updating driver and backend options
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‎notebooks/workflow.ipynb

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@@ -9,13 +9,13 @@
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"2024-09-16 15:05:42.586474: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 AVX512F FMA\n",
12+
"2024-09-16 16:48:07.678368: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 AVX512F FMA\n",
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"To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.\n",
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"2024-09-16 15:05:42.694392: W tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcudart.so.11.0'; dlerror: libcudart.so.11.0: cannot open shared object file: No such file or directory\n",
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"2024-09-16 15:05:42.694414: I tensorflow/compiler/xla/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.\n",
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"2024-09-16 15:05:43.217525: W tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer.so.7'; dlerror: libnvinfer.so.7: cannot open shared object file: No such file or directory\n",
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"2024-09-16 15:05:43.217583: W tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer_plugin.so.7'; dlerror: libnvinfer_plugin.so.7: cannot open shared object file: No such file or directory\n",
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"2024-09-16 15:05:43.217590: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Cannot dlopen some TensorRT libraries. If you would like to use Nvidia GPU with TensorRT, please make sure the missing libraries mentioned above are installed properly.\n"
14+
"2024-09-16 16:48:07.780357: W tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcudart.so.11.0'; dlerror: libcudart.so.11.0: cannot open shared object file: No such file or directory\n",
15+
"2024-09-16 16:48:07.780375: I tensorflow/compiler/xla/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.\n",
16+
"2024-09-16 16:48:08.294768: W tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer.so.7'; dlerror: libnvinfer.so.7: cannot open shared object file: No such file or directory\n",
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"2024-09-16 16:48:08.294833: W tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer_plugin.so.7'; dlerror: libnvinfer_plugin.so.7: cannot open shared object file: No such file or directory\n",
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"2024-09-16 16:48:08.294840: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Cannot dlopen some TensorRT libraries. If you would like to use Nvidia GPU with TensorRT, please make sure the missing libraries mentioned above are installed properly.\n"
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]
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},
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{
@@ -34,7 +34,7 @@
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"/home/jcampos/miniforge3/envs/ml4qick-env/lib/python3.8/site-packages/hls4ml/converters/__init__.py:27: UserWarning: WARNING: Pytorch converter is not enabled!\n",
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"/data/jcampos/projects/ml-quantum-readout/environment/hls4ml/hls4ml/converters/__init__.py:27: UserWarning: WARNING: Pytorch converter is not enabled!\n",
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" warnings.warn(\"WARNING: Pytorch converter is not enabled!\", stacklevel=1)\n"
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]
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}
@@ -210,10 +210,10 @@
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"2024-09-16 15:05:48.812504: W tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory\n",
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"2024-09-16 15:05:48.812560: W tensorflow/compiler/xla/stream_executor/cuda/cuda_driver.cc:265] failed call to cuInit: UNKNOWN ERROR (303)\n",
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"2024-09-16 15:05:48.812599: I tensorflow/compiler/xla/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (correlator4.fnal.gov): /proc/driver/nvidia/version does not exist\n",
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"2024-09-16 15:05:48.813005: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 AVX512F FMA\n",
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"2024-09-16 16:48:11.835530: W tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory\n",
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"2024-09-16 16:48:11.835556: W tensorflow/compiler/xla/stream_executor/cuda/cuda_driver.cc:265] failed call to cuInit: UNKNOWN ERROR (303)\n",
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"2024-09-16 16:48:11.835575: I tensorflow/compiler/xla/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (correlator4.fnal.gov): /proc/driver/nvidia/version does not exist\n",
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"2024-09-16 16:48:11.835777: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 AVX512F FMA\n",
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"To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.\n"
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]
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},
@@ -265,7 +265,7 @@
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" model.add(QDense(\n",
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" hidden, \n",
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" activation='relu', \n",
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" name='fc1',\n",
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" # name='fc1',\n",
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" input_shape=(input_shape,), \n",
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" kernel_quantizer=quantized_bits(6,0,alpha=1), bias_quantizer=quantized_bits(6,0,alpha=1)\n",
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" ))\n",
@@ -312,7 +312,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 8,
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"execution_count": 7,
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"metadata": {},
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"outputs": [
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{
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},
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{
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"cell_type": "code",
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"execution_count": 94,
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"execution_count": 8,
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"metadata": {},
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"outputs": [],
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"source": [
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},
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"cell_type": "code",
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"execution_count": 95,
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"execution_count": 9,
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"metadata": {},
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"outputs": [
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{
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"output_type": "stream",
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"text": [
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"3125/3125 [==============================] - 5s 1ms/step\n",
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"3125/3125 [==============================] - 5s 2ms/step\n",
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"Keras Accuracy: 0.96111\n",
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"Keras Fidelity: 0.92222\n"
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]
@@ -518,7 +518,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 10,
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"execution_count": 11,
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"metadata": {},
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"outputs": [],
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"source": [
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},
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{
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"cell_type": "code",
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"execution_count": 88,
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"execution_count": 12,
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"metadata": {},
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"outputs": [
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{
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},
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{
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"cell_type": "code",
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"execution_count": 93,
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"execution_count": 13,
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"metadata": {},
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"outputs": [],
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"source": [
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"output_dir = f'../hls4ml_projects/sl-{start_location}_ws-{window_size}'\n",
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"xilinx_part = 'xczu49dr-ffvf1760-2-e'\n",
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"io_type = 'io_parallel'\n",
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"clock_period = 3.225 # 3.225ns (307.2 MHz)\n",
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"hls_fig = os.path.join(output_dir, 'model.png')"
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"hls_fig = os.path.join(output_dir, 'model.png')\n",
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"backend = 'VivadoAccelerator'\n",
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"interface = 'axi_master'\n",
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"driver = 'c'\n",
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"board = 'zcu216'"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 89,
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"execution_count": 14,
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"metadata": {},
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"outputs": [
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{
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" part=xilinx_part,\n",
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" io_type=io_type,\n",
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" clock_period=clock_period,\n",
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" backend=backend,\n",
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" board=board,\n",
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" interface=interface,\n",
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" driver=driver,\n",
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")\n",
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"\n",
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"print(f\"Creating hls4ml project directory {output_dir}\")\n",
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},
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"cell_type": "code",
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"execution_count": 15,
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"metadata": {},
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{
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"cell_type": "code",
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"execution_count": 91,
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"execution_count": 16,
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"outputs": [
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{
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"output_type": "stream",
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"text": [
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"Done\n",
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"3125/3125 [==============================] - 3s 981us/step\n",
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"3125/3125 [==============================] - 5s 2ms/step\n",
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"3125/3125 [==============================] - 3s 1ms/step\n",
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"3125/3125 [==============================] - 5s 1ms/step\n",
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"Done taking outputs for Keras model.\n",
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"HLS Keys: dict_keys(['q_dense_1', 'q_dense_1_relu', 'q_batch_normalization_1', 'fc2'])\n",
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"Keras Keys: dict_keys(['q_dense_1', 'q_dense_1_relu', 'q_batch_normalization_1', 'fc2'])\n"
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},
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"cell_type": "code",
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"execution_count": 92,
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"execution_count": 17,
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"metadata": {},
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"outputs": [
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{

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