|
32 | 32 | }, |
33 | 33 | { |
34 | 34 | "cell_type": "code", |
35 | | - "execution_count": 1, |
| 35 | + "execution_count": null, |
36 | 36 | "metadata": { |
37 | 37 | "id": "5-jHZzfSNJg2" |
38 | 38 | }, |
|
45 | 45 | }, |
46 | 46 | { |
47 | 47 | "cell_type": "code", |
48 | | - "execution_count": 2, |
| 48 | + "execution_count": null, |
49 | 49 | "metadata": { |
50 | | - "id": "Q4L5N0owNlH0", |
51 | | - "colab": { |
52 | | - "base_uri": "https://localhost:8080/" |
53 | | - }, |
54 | | - "outputId": "113428ac-a6d3-401e-96ac-9ec061441f26" |
| 50 | + "id": "Q4L5N0owNlH0" |
55 | 51 | }, |
56 | | - "outputs": [ |
57 | | - { |
58 | | - "output_type": "stream", |
59 | | - "name": "stderr", |
60 | | - "text": [ |
61 | | - "/usr/local/lib/python3.11/dist-packages/cudf/utils/_ptxcompiler.py:64: UserWarning: Error getting driver and runtime versions:\n", |
62 | | - "\n", |
63 | | - "stdout:\n", |
64 | | - "\n", |
65 | | - "\n", |
66 | | - "\n", |
67 | | - "stderr:\n", |
68 | | - "\n", |
69 | | - "Traceback (most recent call last):\n", |
70 | | - " File \"<string>\", line 4, in <module>\n", |
71 | | - " File \"/usr/local/lib/python3.11/dist-packages/numba_cuda/numba/cuda/cudadrv/driver.py\", line 314, in __getattr__\n", |
72 | | - " raise CudaSupportError(\"Error at driver init: \\n%s:\" %\n", |
73 | | - "numba.cuda.cudadrv.error.CudaSupportError: Error at driver init: \n", |
74 | | - "\n", |
75 | | - "CUDA driver library cannot be found.\n", |
76 | | - "If you are sure that a CUDA driver is installed,\n", |
77 | | - "try setting environment variable NUMBA_CUDA_DRIVER\n", |
78 | | - "with the file path of the CUDA driver shared library.\n", |
79 | | - ":\n", |
80 | | - "\n", |
81 | | - "\n", |
82 | | - "Not patching Numba\n", |
83 | | - " warnings.warn(msg, UserWarning)\n", |
84 | | - "/usr/local/lib/python3.11/dist-packages/cudf/utils/gpu_utils.py:62: UserWarning: Failed to dlopen libcuda.so.1\n", |
85 | | - " warnings.warn(str(e))\n" |
86 | | - ] |
87 | | - } |
88 | | - ], |
| 52 | + "outputs": [], |
89 | 53 | "source": [ |
90 | 54 | "import numpy as np\n", |
91 | 55 | "import matplotlib.pyplot as plt\n", |
|
98 | 62 | }, |
99 | 63 | { |
100 | 64 | "cell_type": "code", |
101 | | - "execution_count": 3, |
| 65 | + "execution_count": null, |
102 | 66 | "metadata": { |
103 | 67 | "id": "vlwkqBO8NqKX" |
104 | 68 | }, |
|
115 | 79 | }, |
116 | 80 | { |
117 | 81 | "cell_type": "code", |
118 | | - "execution_count": 4, |
| 82 | + "execution_count": null, |
119 | 83 | "metadata": { |
120 | 84 | "colab": { |
121 | 85 | "base_uri": "https://localhost:8080/" |
|
163 | 127 | }, |
164 | 128 | { |
165 | 129 | "cell_type": "code", |
166 | | - "execution_count": 5, |
| 130 | + "execution_count": null, |
167 | 131 | "metadata": { |
168 | 132 | "id": "ZqZgVRKno2ix" |
169 | 133 | }, |
|
183 | 147 | }, |
184 | 148 | { |
185 | 149 | "cell_type": "code", |
186 | | - "execution_count": 6, |
| 150 | + "execution_count": null, |
187 | 151 | "metadata": { |
188 | 152 | "id": "wqOelcZLs6eh" |
189 | 153 | }, |
|
212 | 176 | }, |
213 | 177 | { |
214 | 178 | "cell_type": "code", |
215 | | - "execution_count": 7, |
| 179 | + "execution_count": null, |
216 | 180 | "metadata": { |
217 | 181 | "id": "KkxUtxmN4-nX" |
218 | 182 | }, |
|
234 | 198 | }, |
235 | 199 | { |
236 | 200 | "cell_type": "code", |
237 | | - "execution_count": 8, |
| 201 | + "execution_count": null, |
238 | 202 | "metadata": { |
239 | 203 | "colab": { |
240 | 204 | "base_uri": "https://localhost:8080/", |
|
287 | 251 | }, |
288 | 252 | { |
289 | 253 | "cell_type": "code", |
290 | | - "execution_count": 9, |
| 254 | + "execution_count": null, |
291 | 255 | "metadata": { |
292 | 256 | "id": "XWclE2-Kqk8L" |
293 | 257 | }, |
|
320 | 284 | }, |
321 | 285 | { |
322 | 286 | "cell_type": "code", |
323 | | - "execution_count": 22, |
| 287 | + "execution_count": null, |
324 | 288 | "metadata": { |
325 | 289 | "colab": { |
326 | 290 | "base_uri": "https://localhost:8080/", |
|
381 | 345 | }, |
382 | 346 | { |
383 | 347 | "cell_type": "code", |
384 | | - "execution_count": 11, |
| 348 | + "execution_count": null, |
385 | 349 | "metadata": { |
386 | 350 | "id": "tZZ3J2P3lt7R" |
387 | 351 | }, |
|
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