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test cuda trtrs
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{ | |
"cells": [ | |
{ | |
"cell_type": "code", | |
"execution_count": 1, | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"import unittest\n", | |
"import torch\n", | |
"torch.set_default_tensor_type(torch.cuda.float64)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 2, | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"class TEST(unittest.TestCase):\n", | |
" def test_trtrs(self):\n", | |
" a = torch.Tensor(((6.80, -2.11, 5.66, 5.97, 8.23),\n", | |
" (-6.05, -3.30, 5.36, -4.44, 1.08),\n", | |
" (-0.45, 2.58, -2.70, 0.27, 9.04),\n", | |
" (8.32, 2.71, 4.35, -7.17, 2.14),\n", | |
" (-9.67, -5.14, -7.26, 6.08, -6.87))).t()\n", | |
" b = torch.Tensor(((4.02, 6.19, -8.22, -7.57, -3.03),\n", | |
" (-1.56, 4.00, -8.67, 1.75, 2.86),\n", | |
" (9.81, -4.09, -4.57, -8.61, 8.99))).t()\n", | |
" \n", | |
" print(a.dtype)\n", | |
"\n", | |
" U = torch.triu(a)\n", | |
" L = torch.tril(a)\n", | |
"\n", | |
" # solve Ux = b\n", | |
" x = torch.trtrs(b, U)[0]\n", | |
" self.assertLessEqual(b.dist(torch.mm(U, x)), 1e-12)\n", | |
" x = torch.trtrs(b, U, True, False, False)[0]\n", | |
" self.assertLessEqual(b.dist(torch.mm(U, x)), 1e-12)\n", | |
"\n", | |
" # solve Lx = b\n", | |
" x = torch.trtrs(b, L, False)[0]\n", | |
" self.assertLessEqual(b.dist(torch.mm(L, x)), 1e-12)\n", | |
" x = torch.trtrs(b, L, False, False, False)[0]\n", | |
" self.assertLessEqual(b.dist(torch.mm(L, x)), 1e-12)\n", | |
"\n", | |
" # solve U'x = b\n", | |
" x = torch.trtrs(b, U, True, True)[0]\n", | |
" self.assertLessEqual(b.dist(torch.mm(U.t(), x)), 1e-12)\n", | |
" x = torch.trtrs(b, U, True, True, False)[0]\n", | |
" self.assertLessEqual(b.dist(torch.mm(U.t(), x)), 1e-12)\n", | |
"\n", | |
" # solve U'x = b by manual transposition\n", | |
" y = torch.trtrs(b, U.t(), False, False)[0]\n", | |
" self.assertLessEqual(x.dist(y), 1e-12)\n", | |
"\n", | |
" # solve L'x = b\n", | |
" x = torch.trtrs(b, L, False, True)[0]\n", | |
" self.assertLessEqual(b.dist(torch.mm(L.t(), x)), 1e-12)\n", | |
" x = torch.trtrs(b, L, False, True, False)[0]\n", | |
" self.assertLessEqual(b.dist(torch.mm(L.t(), x)), 1e-12)\n", | |
"\n", | |
" # solve L'x = b by manual transposition\n", | |
" y = torch.trtrs(b, L.t(), True, False)[0]\n", | |
" self.assertLessEqual(x.dist(y), 1e-12)\n", | |
"\n", | |
" # test reuse\n", | |
" res1 = torch.trtrs(b, a)[0]\n", | |
" ta = torch.Tensor()\n", | |
" tb = torch.Tensor()\n", | |
" torch.trtrs(b, a, out=(tb, ta))\n", | |
" self.assertEqual(res1.dist(tb), 0)\n", | |
" tb.zero_()\n", | |
" torch.trtrs(b, a, out=(tb, ta))\n", | |
" self.assertEqual(res1.dist(tb), 0)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 3, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"name": "stdout", | |
"output_type": "stream", | |
"text": [ | |
"torch.cuda.float64\n" | |
] | |
}, | |
{ | |
"name": "stderr", | |
"output_type": "stream", | |
"text": [ | |
".\n", | |
"----------------------------------------------------------------------\n", | |
"Ran 1 test in 1.827s\n", | |
"\n", | |
"OK\n" | |
] | |
}, | |
{ | |
"data": { | |
"text/plain": [ | |
"<unittest.main.TestProgram at 0x7f230e5e8f98>" | |
] | |
}, | |
"execution_count": 3, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
], | |
"source": [ | |
"unittest.main(argv=['first-arg-is-ignored'], exit=False)" | |
] | |
} | |
], | |
"metadata": { | |
"kernelspec": { | |
"display_name": "Python (pyro)", | |
"language": "python", | |
"name": "pyro" | |
}, | |
"language_info": { | |
"codemirror_mode": { | |
"name": "ipython", | |
"version": 3 | |
}, | |
"file_extension": ".py", | |
"mimetype": "text/x-python", | |
"name": "python", | |
"nbconvert_exporter": "python", | |
"pygments_lexer": "ipython3", | |
"version": "3.5.4" | |
} | |
}, | |
"nbformat": 4, | |
"nbformat_minor": 2 | |
} |
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