145 lines
9.1 KiB
Plaintext
145 lines
9.1 KiB
Plaintext
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"id": "7eea0d4d",
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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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"2021-12-24 22:16:08.715996: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.10.1\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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"text": [
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"Num GPUs Available: 1\n"
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]
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},
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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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"2021-12-24 22:16:11.102972: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set\n",
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"2021-12-24 22:16:11.103554: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1\n",
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"2021-12-24 22:16:11.157717: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:941] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n",
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"2021-12-24 22:16:11.157972: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: \n",
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"pciBusID: 0000:01:00.0 name: NVIDIA GeForce RTX 2060 computeCapability: 7.5\n",
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"coreClock: 1.2GHz coreCount: 30 deviceMemorySize: 5.79GiB deviceMemoryBandwidth: 312.97GiB/s\n",
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"2021-12-24 22:16:11.157995: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.10.1\n",
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"2021-12-24 22:16:11.191221: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.10\n",
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"2021-12-24 22:16:11.191428: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.10\n",
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"2021-12-24 22:16:11.222375: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10\n",
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"2021-12-24 22:16:11.226481: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10\n",
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"2021-12-24 22:16:11.258066: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10\n",
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"2021-12-24 22:16:11.264224: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.10\n",
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"2021-12-24 22:16:11.324727: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.7\n",
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"2021-12-24 22:16:11.325101: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:941] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n",
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"2021-12-24 22:16:11.325903: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:941] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n",
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"2021-12-24 22:16:11.326485: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0\n"
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]
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}
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],
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"source": [
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"import tensorflow as tf\n",
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"print(\"Num GPUs Available: \", len(tf.config.list_physical_devices('GPU')))\n"
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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": 2,
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"id": "33d18ebd",
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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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"2021-12-24 22:16:11.339696: 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: SSE4.1 SSE4.2 AVX AVX2 FMA\n",
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"To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.\n",
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"2021-12-24 22:16:11.340741: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set\n",
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"2021-12-24 22:16:11.340920: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:941] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n",
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"2021-12-24 22:16:11.341179: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: \n",
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"pciBusID: 0000:01:00.0 name: NVIDIA GeForce RTX 2060 computeCapability: 7.5\n",
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"coreClock: 1.2GHz coreCount: 30 deviceMemorySize: 5.79GiB deviceMemoryBandwidth: 312.97GiB/s\n",
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"2021-12-24 22:16:11.341221: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.10.1\n",
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"2021-12-24 22:16:11.341261: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.10\n",
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"2021-12-24 22:16:11.341281: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.10\n",
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"2021-12-24 22:16:11.341293: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10\n",
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"2021-12-24 22:16:11.341304: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10\n",
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"2021-12-24 22:16:11.341315: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10\n",
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"2021-12-24 22:16:11.341326: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.10\n",
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"2021-12-24 22:16:11.341336: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.7\n",
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"2021-12-24 22:16:11.341433: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:941] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n",
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"2021-12-24 22:16:11.341629: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:941] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n",
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"2021-12-24 22:16:11.341750: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0\n",
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"2021-12-24 22:16:11.342051: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.10.1\n",
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"2021-12-24 22:16:12.482371: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix:\n",
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"2021-12-24 22:16:12.482394: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0 \n",
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"2021-12-24 22:16:12.482399: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N \n",
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"2021-12-24 22:16:12.482832: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:941] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n",
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"2021-12-24 22:16:12.483044: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:941] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n",
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"2021-12-24 22:16:12.483236: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:941] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n",
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"2021-12-24 22:16:12.483356: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 5358 MB memory) -> physical GPU (device: 0, name: NVIDIA GeForce RTX 2060, pci bus id: 0000:01:00.0, compute capability: 7.5)\n",
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"2021-12-24 22:16:12.487174: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.10\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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"text": [
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"Executing op MatMul in device /job:localhost/replica:0/task:0/device:GPU:0\n",
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"tf.Tensor(\n",
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"[[22. 28.]\n",
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" [49. 64.]], shape=(2, 2), dtype=float32)\n"
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]
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}
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],
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"source": [
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"tf.debugging.set_log_device_placement(True)\n",
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"\n",
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"a = tf.constant([[1.0, 2.0, 3.0], [4.0, 5.0, 6.0]])\n",
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"b = tf.constant([[1.0, 2.0], [3.0, 4.0], [5.0, 6.0]])\n",
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"\n",
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"# Run on the GPU\n",
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"c = tf.matmul(a, b)\n",
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"print(c)\n",
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"\n"
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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": null,
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"id": "2b9ca96e",
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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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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.9.7"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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