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@refraction-ray
Last active July 10, 2019 08:31
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Possible issue on numpy eigh
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{
"cells": [
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
"import numpy as np\n",
"% matplotlib inline\n",
"import matplotlib.pyplot as plt\n",
"import sys\n",
"import platform"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"No LSB modules are available.\r\n",
"Distributor ID:\tUbuntu\r\n",
"Description:\tUbuntu 18.04.2 LTS\r\n",
"Release:\t18.04\r\n",
"Codename:\tbionic\r\n"
]
}
],
"source": [
"!lsb_release -a"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
" total used free shared buff/cache available\r\n",
"Mem: 263780292 51500748 55727464 2136 156552080 210428488\r\n",
"Swap: 8388604 718096 7670508\r\n"
]
}
],
"source": [
"!free"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Architecture: x86_64\r\n",
"CPU op-mode(s): 32-bit, 64-bit\r\n",
"Byte Order: Little Endian\r\n",
"CPU(s): 56\r\n",
"On-line CPU(s) list: 0-55\r\n",
"Thread(s) per core: 2\r\n",
"Core(s) per socket: 14\r\n",
"Socket(s): 2\r\n",
"NUMA node(s): 2\r\n",
"Vendor ID: GenuineIntel\r\n",
"CPU family: 6\r\n",
"Model: 85\r\n",
"Model name: Intel(R) Xeon(R) Gold 5120 CPU @ 2.20GHz\r\n",
"Stepping: 4\r\n",
"CPU MHz: 999.999\r\n",
"CPU max MHz: 3200.0000\r\n",
"CPU min MHz: 1000.0000\r\n",
"BogoMIPS: 4400.00\r\n",
"Virtualization: VT-x\r\n",
"L1d cache: 32K\r\n",
"L1i cache: 32K\r\n",
"L2 cache: 1024K\r\n",
"L3 cache: 19712K\r\n",
"NUMA node0 CPU(s): 0-13,28-41\r\n",
"NUMA node1 CPU(s): 14-27,42-55\r\n",
"Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx pdpe1gb rdtscp lm constant_tsc art arch_perfmon pebs bts rep_good nopl xtopology nonstop_tsc cpuid aperfmperf pni pclmulqdq dtes64 monitor ds_cpl vmx smx est tm2 ssse3 sdbg fma cx16 xtpr pdcm pcid dca sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand lahf_lm abm 3dnowprefetch cpuid_fault epb cat_l3 cdp_l3 invpcid_single pti intel_ppin ssbd mba ibrs ibpb stibp tpr_shadow vnmi flexpriority ept vpid fsgsbase tsc_adjust bmi1 hle avx2 smep bmi2 erms invpcid rtm cqm mpx rdt_a avx512f avx512dq rdseed adx smap clflushopt clwb intel_pt avx512cd avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local dtherm ida arat pln pts hwp hwp_act_window hwp_epp hwp_pkg_req pku ospke md_clear flush_l1d\r\n"
]
}
],
"source": [
"!lscpu"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"('1.16.1',\n",
" '3.6.8 |Intel Corporation| (default, Mar 1 2019, 00:10:45) \\n[GCC 4.8.2 20140120 (Red Hat 4.8.2-15)]',\n",
" 'Linux-4.15.0-50-generic-x86_64-with-debian-buster-sid')"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"np.__version__, sys.version, platform.platform()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"# python shipped with intel parallel studio xe 2019.3"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"mkl_info:\n",
" libraries = ['mkl_rt', 'pthread']\n",
" library_dirs = ['/home/z/.conda/envs/test/lib']\n",
" define_macros = [('SCIPY_MKL_H', None), ('HAVE_CBLAS', None)]\n",
" include_dirs = ['/home/z/.conda/envs/test/include']\n",
"blas_mkl_info:\n",
" libraries = ['mkl_rt', 'pthread']\n",
" library_dirs = ['/home/z/.conda/envs/test/lib']\n",
" define_macros = [('SCIPY_MKL_H', None), ('HAVE_CBLAS', None)]\n",
" include_dirs = ['/home/z/.conda/envs/test/include']\n",
"blas_opt_info:\n",
" libraries = ['mkl_rt', 'pthread']\n",
" library_dirs = ['/home/z/.conda/envs/test/lib']\n",
" define_macros = [('SCIPY_MKL_H', None), ('HAVE_CBLAS', None)]\n",
" include_dirs = ['/home/z/.conda/envs/test/include']\n",
"lapack_mkl_info:\n",
" libraries = ['mkl_rt', 'pthread']\n",
" library_dirs = ['/home/z/.conda/envs/test/lib']\n",
" define_macros = [('SCIPY_MKL_H', None), ('HAVE_CBLAS', None)]\n",
" include_dirs = ['/home/z/.conda/envs/test/include']\n",
"lapack_opt_info:\n",
" libraries = ['mkl_rt', 'pthread']\n",
" library_dirs = ['/home/z/.conda/envs/test/lib']\n",
" define_macros = [('SCIPY_MKL_H', None), ('HAVE_CBLAS', None)]\n",
" include_dirs = ['/home/z/.conda/envs/test/include']\n"
]
}
],
"source": [
"np.__config__.show()"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"n=32766\n",
"a=np.random.rand(n)"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(32766, 32766)"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"m_32766=np.diag(a)\n",
"m_32766.shape"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"CPU times: user 6h 6min 5s, sys: 15min 47s, total: 6h 21min 53s\n",
"Wall time: 14min 5s\n"
]
}
],
"source": [
"%time E_32766, V_32766 = np.linalg.eigh(m_32766) ## normal results"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [
{
"data": {
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XCbWFC0k/rhH9vhnG+1xCXVYwnDt56RWdCSPHjoZlREIlK4sXT3+Q3usf5kROoQP/YTod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\n4S4iEoP+Dw6gQDbF/uskAAAAAElFTkSuQmCC\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.plot(E_32766,\"b.\", sorted(a),\"r-\", markersize=0.5,)\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 26,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(32767, 32767)"
]
},
"execution_count": 26,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"n=32767\n",
"b=np.random.rand(n)\n",
"m_32767=np.diag(b)\n",
"m_32767.shape"
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"CPU times: user 624 µs, sys: 0 ns, total: 624 µs\n",
"Wall time: 508 µs\n"
]
}
],
"source": [
"%time E_32767, V_32767=np.linalg.eigh(m_32767) ## wierd results with very short time of computation"
]
},
{
"cell_type": "code",
"execution_count": 30,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array([6.91634688e-310, 6.91634712e-310, 6.91634712e-310, ...,\n",
" 6.91634764e-310, 6.91634764e-310, 6.91634813e-310])"
]
},
"execution_count": 30,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"E_32767 ### totally wrong"
]
},
{
"cell_type": "code",
"execution_count": 33,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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yhr/BTs1xn5cbpuCYJ1mT5F7gUYYl+q1F9vdsxrb9yZZvtf2sHpVjpRhGnTddLX+O9aqq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\nSUVORK5CYII=\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.plot(V_32767[:,1])\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 35,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"CPU times: user 1h 31min 43s, sys: 54.5 s, total: 1h 32min 38s\n",
"Wall time: 3min 22s\n"
]
}
],
"source": [
"%time nE_32767 = np.linalg.eigvalsh(m_32767) ## normal results for only eigenvalue"
]
},
{
"cell_type": "code",
"execution_count": 36,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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d6FuX7RjnXBrwJ1AqEAUeZ8IEkirXpA5L6MVYopn3V7cuIiIZ/An37DrwrFHq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\nRK5CYII=\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.plot(nE_32767,\"b.\", sorted(b),\"r-\", markersize=0.5,)\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"%time nnE_32767 = np.linalg.eig(m_32767) # seems correct for the compute time, though no patience to wait for the result"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'0b111111111111111'"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"bin(32767) # issue with related with int16?"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"15"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"len('111111111111111')"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.8"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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