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alexander-penevalexander-penev
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Add some examples
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‎notebooks/ProjectMockup.ipynb

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{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "1c4fd5b5-1b9e-4a8e-82b3-6ab214c203ea",
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"metadata": {},
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"source": [
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"## Project Mockup"
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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": 1,
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"id": "54a52e27-3d9d-4574-990b-329a47d4bf13",
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"metadata": {},
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"outputs": [],
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"source": [
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"struct S { double val = 1.0; };"
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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": "b9e80eda-8924-4f3c-bbc0-7b74ba9b9a36",
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"metadata": {},
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"outputs": [],
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"source": [
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"%%python\n",
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"\n",
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"python_vec = cppyy.gbl.std.vector(cppyy.gbl.S)(5)"
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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": 3,
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"id": "697760dd-200e-4fa6-85b2-f1786215eda3",
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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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"text": [
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"1.0\n"
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]
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}
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],
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"source": [
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"%%python\n",
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"\n",
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"print(python_vec[3].val)"
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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": 4,
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"id": "d581f6cc-2737-4c11-b37a-25bb5296936a",
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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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"text": [
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"<__main__.Derived object at 0x7fffdf639e40>\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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"<string>:1: RuntimeWarning: class \"S\" has no virtual destructor\n"
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]
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}
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],
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"source": [
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"%%python\n",
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"\n",
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"class Derived(cppyy.gbl.S):\n",
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" def __init__(self):\n",
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" val = 0\n",
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"res = Derived()\n",
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"print(res)"
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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": 5,
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"id": "f20feaa6-62a2-4805-853b-268b1c1832ac",
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"metadata": {},
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"outputs": [],
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"source": [
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"__global__ void arr_sum(int n, double *x, double *sum) {\n",
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" for(int i = 0; i < n; i++)\n",
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" *sum +=x[i];\n",
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"}"
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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": 6,
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"id": "cfd92edb-41e0-4bb8-b7a1-852782964423",
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"metadata": {},
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"outputs": [],
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"source": [
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"int n = 5;\n",
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"double h_sum;\n",
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"double *x = new double[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": 7,
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"id": "90480051-7a57-4145-85c4-ca3bdc8e101f",
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"metadata": {},
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"outputs": [],
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"source": [
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"void setData(const std::vector<S>& a) {\n",
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" int i = 0;\n",
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" for(auto &s : a) {\n",
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" x[i] = s.val;\n",
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" i++;\n",
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" }\n",
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"}"
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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": 8,
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"id": "9d9913b7-db39-4c76-8939-efbca9256143",
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"metadata": {},
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"outputs": [],
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"source": [
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"%%python\n",
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"\n",
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"data_list = [1.0, 2.0, 3.0, 4.0, 5.0]\n",
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"for c, i in enumerate(data_list):\n",
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" python_vec[c].val = i\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": 9,
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"id": "846901c7-0cbb-4978-9efe-7f5870b939a7",
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"metadata": {},
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"outputs": [],
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"source": [
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"%%python\n",
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"\n",
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"cppyy.gbl.setData(python_vec)\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": 10,
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"id": "f57c46fa-addb-4d80-8cc3-29a464911fdc",
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"metadata": {},
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"outputs": [],
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"source": [
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"double *d_x, *d_sum;\n",
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"cudaMalloc((void **)&d_x, n * sizeof(double));\n",
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"cudaMalloc((void **)&d_sum, sizeof(double));"
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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": 11,
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"id": "d617ee2c-d9b7-4c4f-8ef2-051df37b2737",
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"metadata": {},
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"outputs": [],
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"source": [
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"cudaMemcpy(d_x, x, n * sizeof(double), cudaMemcpyHostToDevice);\n",
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"cudaMemcpy(d_sum, &h_sum, sizeof(double), cudaMemcpyHostToDevice);"
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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": 12,
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"id": "8417b211-e7f9-448d-969a-27fc0eb32697",
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"metadata": {},
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"outputs": [],
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"source": [
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"arr_sum<<<1, 1>>>(n, d_x, d_sum);"
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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": 13,
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"id": "4374b687-31a5-4b85-8d66-e738956814b4",
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"metadata": {},
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"outputs": [],
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"source": [
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"cudaMemcpy(&h_sum, d_sum, sizeof(double), cudaMemcpyDeviceToHost);"
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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": 14,
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"id": "8198bfdf-0ff7-4e27-ba6b-087833055794",
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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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"text": [
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"Sum: 15\n"
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]
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}
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],
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"source": [
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"std::cout << \"Sum: \" << h_sum << std::endl;"
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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": 15,
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"id": "33ffcf05-58cc-4212-aef7-4a5813fdc178",
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"metadata": {},
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"outputs": [],
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"source": [
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"delete[] x;\n",
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"cudaFree(d_x);\n",
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"cudaFree(d_sum);"
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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": "add835ef-6196-47d8-be75-14b872438de1",
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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": "CUDA (C++17)",
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"language": "CUDA",
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"name": "cuda-xcpp17"
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},
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"language_info": {
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"codemirror_mode": "text/x-c++src",
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"file_extension": ".cpp",
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"mimetype": "text/x-c++src",
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"name": "c++",
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"version": "17"
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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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