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PiotrCzapla/clean_up_after_unhandled_exception.ipynb

Created December 8, 2022 17:04
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Cleaning up after unhandled exception in jupyter notebooks
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clean_up_after_unhandled_exception.ipynb
{
"cells": [
{
"cell_type": "code",
"execution_count": 21,
"metadata": {},
"outputs": [],
"source": [
"import torch"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {},
"outputs": [],
"source": [
"import weakref, traceback"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 23,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"torch.backends.mps.is_available()"
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"1"
]
},
"execution_count": 24,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"t = { 1,2,3}\n",
"import gc\n",
"len (gc.get_referrers(t))"
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"dict_keys(['__name__', '__doc__', '__package__', '__loader__', '__spec__', '__builtin__', '__builtins__', '_ih', '_oh', '_dh', 'In', 'Out', 'get_ipython', 'exit', 'quit', '_', '__', '___', 'sys', 'os', '__vsc_ipynb_file__', '_i', '_ii', '_iii', '_i1', 'torch', '_i2', 'weakref', 'traceback', '_i3', '_3', '_i4', 't', 'gc', '_4', '_i5', '_5', '_i6', '_6', '_i7', '_i8', 'tensors', 'print_tensor_size', '_i9', '_i10', 'test_exception_raise', 'allocate_tensor', '_i11', 'clean_up', '_i12', 'types', 'hiddenref', '_i13', 'dump_holders', '_i14', 'get_holders', '_i15', '_i16', '_i17', 'find_type', 'find_tracebacks', '_i18', 'ex_reference_path', 'tb', '_i19', '_i20', 'print_ref_graph', '_i21', '_i22', '_i23', '_23', '_i24', '_24', '_i25'])"
]
},
"execution_count": 25,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"gc.get_referrers(t)[0].keys()"
]
},
{
"cell_type": "code",
"execution_count": 26,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[(None, '__main__')]"
]
},
"execution_count": 26,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"[(o['__package__'],o['__name__']) for o in gc.get_referrers(t)]"
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {},
"outputs": [],
"source": [
"import sys"
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"4809481632 torch.Size([10000, 10000]) 4\n"
]
}
],
"source": [
"\n",
"import gc\n",
"def tensors():\n",
" objs = gc.get_objects()\n",
" for v in objs:\n",
" if isinstance(v, torch.Tensor):\n",
" yield weakref.ref(v)\n",
"\n",
"def print_tensor_size(message=\"\"):\n",
" gc.collect()\n",
" if message: print(message)\n",
" for v in tensors():\n",
" if isinstance(v(), torch.Tensor):\n",
" print( id(v()), v().shape, len(gc.get_referrers(v())))\n",
" #show_holders(v)\n",
" \n",
" gc.collect()\n",
"\n",
"print_tensor_size()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {},
"outputs": [],
"source": [
"# [type(o) for l in gc.get_referrers(t) for o in l]"
]
},
{
"cell_type": "code",
"execution_count": 30,
"metadata": {},
"outputs": [],
"source": [
"def test_exception_raise(should_raise=False):\n",
" try:\n",
" allocate_tensor(should_raise)\n",
" finally:\n",
" print_tensor_size('Finally block')\n",
" \n",
"def allocate_tensor(should_raise=False): \n",
" x = torch.rand(10000, 10000)\n",
" print_tensor_size('after allocation') \n",
" x *= 2\n",
" if should_raise:\n",
" raise Exception('I am a bad function')\n",
" return x"
]
},
{
"cell_type": "code",
"execution_count": 31,
"metadata": {},
"outputs": [],
"source": [
"def clean_up():\n",
" import sys, gc, traceback\n",
" if 'last_traceback' in sys.__dict__:\n",
" print(sys.last_traceback)\n",
" print(get_ipython().InteractiveTB.tb)\n",
" traceback.clear_frames(sys.last_traceback)\n",
" del sys.last_traceback \n",
" if 'last_type' in sys.__dict__: del sys.last_type\n",
" if 'last_value' in sys.__dict__: del sys.last_value\n",
" gc.collect()\n",
"# above code translated to use hasttr and delattr\n",
"\n",
"# def clean_up():\n",
"# import sys, gc, traceback\n",
"# if hasattr(sys, 'last_traceback'):\n",
"# traceback.clear_frames(sys.last_traceback)\n",
"# delattr(sys, 'last_traceback')\n",
"# if hasattr(sys, 'last_type'): delattr(sys, 'last_type')\n",
"# if hasattr(sys, 'last_value'): delattr(sys, 'last_value')\n",
"# gc.collect() \n"
]
},
{
"cell_type": "code",
"execution_count": 32,
"metadata": {},
"outputs": [],
"source": [
"import types\n",
"class hiddenref:\n",
" def __new__(cls, r):\n",
" try:\n",
" return weakref.ref(r)\n",
" except:\n",
" self = super().__new__(cls)\n",
" self.hiddenref=r\n",
" def __call__(self):\n",
" return self.hiddenref"
]
},
{
"cell_type": "code",
"execution_count": 33,
"metadata": {},
"outputs": [],
"source": [
"def dump_holders(v, t, f=repr):\n",
" for r in gc.get_referrers(v()):\n",
" if str(t) in str(type(r)):\n",
" v = f(r)\n",
" if v:\n",
" print(v[:400])"
]
},
{
"cell_type": "code",
"execution_count": 34,
"metadata": {},
"outputs": [],
"source": [
"def get_holders(v, t):\n",
" for r in gc.get_referrers(v()):\n",
" if str(t) in str(type(r)):\n",
" if isinstance(r, dict) and 'hiddenref' in r: continue\n",
" yield hiddenref(r)"
]
},
{
"cell_type": "code",
"execution_count": 35,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"after allocation\n",
"4809481632 torch.Size([10000, 10000]) 4\n",
"4808024016 torch.Size([10000, 10000]) 2\n",
"Finally block\n",
"4809481632 torch.Size([10000, 10000]) 4\n",
"Outside\n",
"4809481632 torch.Size([10000, 10000]) 4\n"
]
}
],
"source": [
"test_exception_raise()\n",
"print_tensor_size('Outside')"
]
},
{
"cell_type": "code",
"execution_count": 36,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"after allocation\n",
"4809481632 torch.Size([10000, 10000]) 4\n",
"4802386880 torch.Size([10000, 10000]) 2\n",
"Finally block\n",
"4809481632 torch.Size([10000, 10000]) 4\n",
"4802386880 torch.Size([10000, 10000]) 3\n"
]
},
{
"ename": "Exception",
"evalue": "I am a bad function",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mException\u001b[0m Traceback (most recent call last)",
"\u001b[1;32m/Users/pczapla/Workspace/fastai/gpumem/exception_handling_jupyter.ipynb Cell 16\u001b[0m in \u001b[0;36m<cell line: 1>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> <a href='vscode-notebook-cell:/Users/pczapla/Workspace/fastai/gpumem/exception_handling_jupyter.ipynb#X22sZmlsZQ%3D%3D?line=0'>1</a>\u001b[0m test_exception_raise(should_raise\u001b[39m=\u001b[39;49m\u001b[39mTrue\u001b[39;49;00m)\n",
"\u001b[1;32m/Users/pczapla/Workspace/fastai/gpumem/exception_handling_jupyter.ipynb Cell 16\u001b[0m in \u001b[0;36mtest_exception_raise\u001b[0;34m(should_raise)\u001b[0m\n\u001b[1;32m <a href='vscode-notebook-cell:/Users/pczapla/Workspace/fastai/gpumem/exception_handling_jupyter.ipynb#X22sZmlsZQ%3D%3D?line=0'>1</a>\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mtest_exception_raise\u001b[39m(should_raise\u001b[39m=\u001b[39m\u001b[39mFalse\u001b[39;00m):\n\u001b[1;32m <a href='vscode-notebook-cell:/Users/pczapla/Workspace/fastai/gpumem/exception_handling_jupyter.ipynb#X22sZmlsZQ%3D%3D?line=1'>2</a>\u001b[0m \u001b[39mtry\u001b[39;00m:\n\u001b[0;32m----> <a href='vscode-notebook-cell:/Users/pczapla/Workspace/fastai/gpumem/exception_handling_jupyter.ipynb#X22sZmlsZQ%3D%3D?line=2'>3</a>\u001b[0m allocate_tensor(should_raise)\n\u001b[1;32m <a href='vscode-notebook-cell:/Users/pczapla/Workspace/fastai/gpumem/exception_handling_jupyter.ipynb#X22sZmlsZQ%3D%3D?line=3'>4</a>\u001b[0m \u001b[39mfinally\u001b[39;00m:\n\u001b[1;32m <a href='vscode-notebook-cell:/Users/pczapla/Workspace/fastai/gpumem/exception_handling_jupyter.ipynb#X22sZmlsZQ%3D%3D?line=4'>5</a>\u001b[0m print_tensor_size(\u001b[39m'\u001b[39m\u001b[39mFinally block\u001b[39m\u001b[39m'\u001b[39m)\n",
"\u001b[1;32m/Users/pczapla/Workspace/fastai/gpumem/exception_handling_jupyter.ipynb Cell 16\u001b[0m in \u001b[0;36mallocate_tensor\u001b[0;34m(should_raise)\u001b[0m\n\u001b[1;32m <a href='vscode-notebook-cell:/Users/pczapla/Workspace/fastai/gpumem/exception_handling_jupyter.ipynb#X22sZmlsZQ%3D%3D?line=9'>10</a>\u001b[0m x \u001b[39m*\u001b[39m\u001b[39m=\u001b[39m \u001b[39m2\u001b[39m\n\u001b[1;32m <a href='vscode-notebook-cell:/Users/pczapla/Workspace/fastai/gpumem/exception_handling_jupyter.ipynb#X22sZmlsZQ%3D%3D?line=10'>11</a>\u001b[0m \u001b[39mif\u001b[39;00m should_raise:\n\u001b[0;32m---> <a href='vscode-notebook-cell:/Users/pczapla/Workspace/fastai/gpumem/exception_handling_jupyter.ipynb#X22sZmlsZQ%3D%3D?line=11'>12</a>\u001b[0m \u001b[39mraise\u001b[39;00m \u001b[39mException\u001b[39;00m(\u001b[39m'\u001b[39m\u001b[39mI am a bad function\u001b[39m\u001b[39m'\u001b[39m)\n\u001b[1;32m <a href='vscode-notebook-cell:/Users/pczapla/Workspace/fastai/gpumem/exception_handling_jupyter.ipynb#X22sZmlsZQ%3D%3D?line=12'>13</a>\u001b[0m \u001b[39mreturn\u001b[39;00m x\n",
"\u001b[0;31mException\u001b[0m: I am a bad function"
]
}
],
"source": [
"test_exception_raise(should_raise=True)"
]
},
{
"cell_type": "code",
"execution_count": 37,
"metadata": {},
"outputs": [],
"source": [
"import types\n",
"\n",
"def find_type(variables, type, along_type=None, debug=False):\n",
" seen = set()\n",
" objs = []\n",
" \n",
" q = [v() if isinstance(v, (weakref.ref,hiddenref)) else v for v in variables]\n",
" while q:\n",
" v = q.pop()\n",
" gc.collect()\n",
" for r in gc.get_referrers(v):\n",
" if id(r) in seen: continue\n",
" seen.add(id(r))\n",
" \n",
" if debug: print(type(r), id(r))\n",
" if isinstance(r, dict) and 'hiddenref' in r: continue\n",
" if isinstance(r, type):\n",
" objs.append(r)\n",
" else:\n",
" if debug: print(len(q), len(seen))\n",
" if along_type and isinstance(r, along_type):\n",
" q.append(r)\n",
" if debug: print('q',len(q), [id(v) for v in q])\n",
" return objs\n",
"\n",
"def find_tracebacks(*variables):\n",
" frames = find_type(variables, types.FrameType, debug=False)\n",
" tracebacks = find_type(frames, types.TracebackType, types.FrameType, debug=False)\n",
" return list(set(tracebacks))"
]
},
{
"cell_type": "code",
"execution_count": 38,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"traceback test_exception_raise 4799405888\n",
" traceback <cell line: 1> 5068031040\n",
" traceback run_code 5068041408\n",
" <class 'dict'> last_traceback\n",
" <class 'Exception'> 4808441616\n",
" 4306726464 cycle, skipping\n",
" <class 'dict'> error_in_exec\n",
" <class 'IPython.core.interactiveshell.ExecutionResult'> 5070315984\n",
" frame run_code\n",
" 5068041408 cycle, skipping\n",
" frame <cell line: 1>\n",
" 5068031040 cycle, skipping\n",
" frame test_exception_raise\n",
" 4799405888 cycle, skipping\n",
" frame allocate_tensor\n",
" traceback allocate_tensor 4736199296\n",
" 4358453760 cycle, skipping\n",
" 4799405888 cycle, skipping\n",
" <class 'list'> 0\n",
" <class 'tuple'> 1\n",
" <class 'list_iterator'> 5072358848\n",
"-- Starting over\n",
" <class 'IPython.core.ultratb.AutoFormattedTB'> 4358465776\n",
" <class 'dict'> InteractiveTB\n",
" <class 'ipykernel.zmqshell.ZMQInteractiveShell'> 4358460208\n",
" <class 'dict'> _instance\n",
" <class 'method'> get_ipython\n",
" <class 'method'> _clear_warning_registry\n",
" <class 'method'> editor\n",
" <class 'method'> synchronize_with_editor\n",
" <class 'method'> show_in_pager\n",
" <class 'method'> <lambda>\n",
" <class 'method'> pre_prompt_hook\n",
" <class 'method'> clipboard_get\n",
" <class 'method'> dummy_handler\n",
" <class 'method'> get_ipython\n",
" <class 'method'> module_completer\n",
" <class 'method'> module_completer\n",
" <class 'method'> magic_run_completer\n",
" <class 'method'> cd_completer\n",
" <class 'method'> reset_completer\n",
" <class 'method'> module_completer\n",
" <class 'method'> atexit_operations\n",
" <class 'method'> _showtraceback\n",
" <class 'method'> run_cell\n",
" <class 'method'> run_cell\n",
" <class 'method'> excepthook\n",
" <class 'method'> run_cell_async\n",
" <class 'method'> should_run_async\n",
" <class 'cell'> 4367959040\n",
" <class 'cell'> 5070567552\n",
" 4800719520 cycle, skipping\n",
" frame run_cell_async\n",
" notfound <class 'tuple'>\n",
" <class 'function'> error_before_exec\n",
" 4360299568 cycle, skipping\n",
"------------------------------ Starting over\n",
" frame <cell line: 1>\n",
" frame test_exception_raise\n",
" frame allocate_tensor\n",
" traceback allocate_tensor 4807687872\n",
" 4814807616 cycle, skipping\n",
" traceback test_exception_raise 4802244864\n",
" <class 'tuple'> 1\n",
" <class 'list'> 93\n",
"----------------------------------- Starting over\n",
" <class 'tuple'> 1\n",
" 4814814720 cycle, skipping\n",
"----------------------------------- Starting over\n",
" <class 'tuple'> 1\n",
" <class 'Exception'> 4808676016\n",
" <class 'dict'> error_in_exec\n",
" <class 'IPython.core.interactiveshell.ExecutionResult'> 5067852240\n",
" frame run_code\n",
" 4830216640 cycle, skipping\n",
" traceback run_code 4479959872\n",
" 5780368192 cycle, skipping\n",
" 4808676016 cycle, skipping\n",
"-------------------------------- Starting over\n",
" traceback <cell line: 1> 4364014912\n",
" 5780359936 cycle, skipping\n",
" 4479959872 cycle, skipping\n",
"------------------------------- Starting over\n",
" 4479959872 cycle, skipping\n",
"------------------------------ Starting over\n",
" 4808676016 cycle, skipping\n",
"------------------------- Starting over\n",
" <class 'coroutine'> run_code\n",
"------------------------- Starting over\n",
" <class 'coroutine'> run_ast_nodes\n",
"------------------------- Starting over\n",
" 5780147328 cycle, skipping\n",
"----------------------- Starting over\n",
" <class 'dict'> _trait_values\n",
" <class 'tuple'> 1\n",
" <class 'IPython.extensions.storemagic.StoreMagics'> 4358830016\n",
" <class 'list'> 30\n",
" <class 'method'> store\n",
" <class 'dict'> store\n",
" <class 'dict'> line\n",
" <class 'dict'> magics\n",
" <class 'tuple'> 1\n",
" 4814814720 cycle, skipping\n",
"------------------------------- Starting over\n",
" <class 'IPython.core.magic.MagicsManager'> 4358466784\n",
" <class 'dict'> magics_manager\n",
" 4358397248 cycle, skipping\n",
" <class 'method'> register\n",
" 4358454208 cycle, skipping\n",
"----------------------------- Starting over\n",
" <class 'IPython.core.alias.AliasManager'> 4358466880\n",
" 4358454144 cycle, skipping\n",
" 4358397248 cycle, skipping\n",
"---------------------------- Starting over\n",
" <class 'dict'> line\n",
" 4358799616 cycle, skipping\n",
"-------------------------- Starting over\n",
" 4358724544 cycle, skipping\n",
"----------------------- Starting over\n",
" 4358830016 cycle, skipping\n",
"--------------------- Starting over\n",
" <class 'dict'> _trait_values\n",
" <class 'IPython.core.payload.PayloadManager'> 4358826416\n",
" 4358454144 cycle, skipping\n",
" 4358397248 cycle, skipping\n",
"--------------------- Starting over\n",
" <class 'dict'> _trait_values\n",
" <class 'IPython.core.extensions.ExtensionManager'> 4358470384\n",
" 4358454144 cycle, skipping\n",
" 4358397248 cycle, skipping\n",
" <class 'method'> _on_ipython_dir_changed\n",
" <class 'list'> 1\n",
" <class 'dict'> change\n",
" <class 'dict'> ipython_dir\n",
" 4358454208 cycle, skipping\n",
"--------------------- Starting over\n",
" <class 'IPython.core.alias.Alias'> 4358826560\n",
" <class 'dict'> lx\n",
" 4352336704 cycle, skipping\n",
" <class 'tuple'> 1\n",
" <class 'IPython.core.magics.UserMagics'> 4358466688\n",
" 4358397248 cycle, skipping\n",
" 4358724544 cycle, skipping\n",
" <class 'dict'> UserMagics\n",
" 4358724544 cycle, skipping\n",
"--------------------- Starting over\n",
" <class 'IPython.core.alias.Alias'> 4358826752\n",
" 4358723264 cycle, skipping\n",
" 4352336704 cycle, skipping\n",
"--------------------- Starting over\n",
" <class 'IPython.core.alias.Alias'> 4358827040\n",
" 4358723264 cycle, skipping\n",
" 4352336704 cycle, skipping\n",
"--------------------- Starting over\n",
" <class 'IPython.core.alias.Alias'> 4358826944\n",
" 4358723264 cycle, skipping\n",
" 4352336704 cycle, skipping\n",
"--------------------- Starting over\n",
" <class 'IPython.core.alias.Alias'> 4358825216\n",
" 4358723264 cycle, skipping\n",
" 4352336704 cycle, skipping\n",
"--------------------- Starting over\n",
" <class 'IPython.core.alias.Alias'> 4358469952\n",
" 4358723264 cycle, skipping\n",
" 4352336704 cycle, skipping\n",
"--------------------- Starting over\n",
" <class 'IPython.core.alias.Alias'> 4358469856\n",
" 4358723264 cycle, skipping\n",
" 4352336704 cycle, skipping\n",
"--------------------- Starting over\n",
" <class 'IPython.core.alias.Alias'> 4358470096\n",
" 4358723264 cycle, skipping\n",
" 4352336704 cycle, skipping\n",
"--------------------- Starting over\n",
" <class 'IPython.core.alias.Alias'> 4358470288\n",
" 4358723264 cycle, skipping\n",
" 4352336704 cycle, skipping\n",
"--------------------- Starting over\n",
" <class 'IPython.core.alias.Alias'> 4358470432\n",
" 4358723264 cycle, skipping\n",
" 4352336704 cycle, skipping\n",
"--------------------- Starting over\n",
" <class 'IPython.core.alias.Alias'> 4358470192\n",
" 4358723264 cycle, skipping\n",
" 4352336704 cycle, skipping\n",
"--------------------- Starting over\n",
" <class 'IPython.core.alias.Alias'> 4358470624\n",
" 4358723264 cycle, skipping\n",
" 4352336704 cycle, skipping\n",
"--------------------- Starting over\n",
" <class 'dict'> _trait_values\n",
" 4358466880 cycle, skipping\n",
"--------------------- Starting over\n",
" <class 'IPython.core.magic.MagicAlias'> 4358470912\n",
" 4358723264 cycle, skipping\n",
" 4352336704 cycle, skipping\n",
"--------------------- Starting over\n",
" <class 'dict'> _trait_values\n",
" <class 'tuple'> 1\n",
" <class 'ipykernel.zmqshell.KernelMagics'> 4358470672\n",
" 4358397248 cycle, skipping\n",
" 4358725120 cycle, skipping\n",
" <class 'method'> edit\n",
" <class 'method'> clear\n",
" <class 'method'> less\n",
" <class 'method'> less\n",
" <class 'method'> man\n",
" <class 'method'> connect_info\n",
" <class 'method'> qtconsole\n",
" <class 'method'> autosave\n",
" 4352336704 cycle, skipping\n",
" <class 'dict'> autosave\n",
" <class 'dict'> line\n",
" 4358848704 cycle, skipping\n",
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" <class 'IPython.core.magic.MagicAlias'> 4358470576\n",
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" <class 'dict'> file\n",
" 4358449472 cycle, skipping\n",
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" <class 'IPython.core.magic.MagicAlias'> 4358470960\n",
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" <class 'IPython.core.magic.MagicAlias'> 4358468752\n",
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"--------------------- Starting over\n",
" <class 'dict'> _trait_values\n",
" <class 'tuple'> 1\n",
" <class 'IPython.core.magics.basic.AsyncMagics'> 4358467552\n",
" 4358397248 cycle, skipping\n",
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"-------------- Starting over\n",
" <class 'dict'> _trait_values\n",
" <class 'tuple'> 1\n",
" <class 'IPython.core.magics.script.ScriptMagics'> 4358467504\n",
" 4358397248 cycle, skipping\n",
" 4358725120 cycle, skipping\n",
" <class 'method'> killbgscripts\n",
" <class 'method'> shebang\n",
" <class 'cell'> 4358467744\n",
" <class 'cell'> 4358469712\n",
" <class 'cell'> 4358471008\n",
" <class 'cell'> 4358817152\n",
" <class 'cell'> 4358819168\n",
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" <class 'method'> kill_bg_processes\n",
" <class 'cell'> 4358467600\n",
" <class 'cell'> 4358823200\n",
" <class 'tuple'> 1\n",
" <class 'function'> named_script_magic\n",
" 4358723968 cycle, skipping\n",
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" <class 'dict'> cell\n",
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" <class 'dict'> _trait_values\n",
" <class 'tuple'> 1\n",
" <class 'IPython.core.magics.pylab.PylabMagics'> 4358467456\n",
" 4358397248 cycle, skipping\n",
" 4358725120 cycle, skipping\n",
" <class 'method'> matplotlib\n",
" <class 'method'> pylab\n",
" 4352336704 cycle, skipping\n",
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" <class 'dict'> line\n",
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" <class 'dict'> _trait_values\n",
" <class 'tuple'> 1\n",
" <class 'IPython.core.magics.packaging.PackagingMagics'> 4358467408\n",
" 4358397248 cycle, skipping\n",
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" <class 'method'> pip\n",
" <class 'method'> conda\n",
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" <class 'dict'> line\n",
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" <class 'dict'> _trait_values\n",
" <class 'tuple'> 1\n",
" <class 'IPython.core.magics.osm.OSMagics'> 4358467360\n",
" 4358397248 cycle, skipping\n",
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" <class 'method'> alias\n",
" <class 'method'> unalias\n",
" <class 'method'> rehashx\n",
" <class 'method'> pwd\n",
" <class 'method'> cd\n",
" <class 'method'> env\n",
" <class 'method'> set_env\n",
" <class 'method'> pushd\n",
" <class 'method'> popd\n",
" <class 'method'> dirs\n",
" <class 'method'> dhist\n",
" <class 'method'> sc\n",
" <class 'method'> sx\n",
" <class 'method'> sx\n",
" <class 'method'> bookmark\n",
" <class 'method'> pycat\n",
" <class 'method'> sx\n",
" <class 'method'> sx\n",
" <class 'method'> sx\n",
" <class 'method'> writefile\n",
" 4358723968 cycle, skipping\n",
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" <class 'dict'> cell\n",
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" <class 'dict'> _trait_values\n",
" <class 'tuple'> 1\n",
" <class 'IPython.core.magics.namespace.NamespaceMagics'> 4358467312\n",
" 4358397248 cycle, skipping\n",
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" <class 'method'> pinfo\n",
" <class 'method'> pinfo2\n",
" <class 'method'> pdef\n",
" <class 'method'> pdoc\n",
" <class 'method'> psource\n",
" <class 'method'> pfile\n",
" <class 'method'> psearch\n",
" <class 'method'> who_ls\n",
" <class 'method'> who\n",
" <class 'method'> whos\n",
" <class 'method'> reset\n",
" <class 'method'> reset_selective\n",
" <class 'method'> xdel\n",
" 4352336704 cycle, skipping\n",
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" <class 'dict'> line\n",
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" <class 'dict'> _trait_values\n",
" <class 'tuple'> 1\n",
" <class 'IPython.core.magics.logging.LoggingMagics'> 4358467216\n",
" 4358397248 cycle, skipping\n",
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" <class 'method'> logstart\n",
" <class 'method'> logstop\n",
" <class 'method'> logoff\n",
" <class 'method'> logon\n",
" <class 'method'> logstate\n",
" 4352336704 cycle, skipping\n",
" <class 'dict'> logstate\n",
" <class 'dict'> line\n",
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"-------------- Starting over\n",
" <class 'dict'> _trait_values\n",
" <class 'tuple'> 1\n",
" <class 'IPython.core.magics.history.HistoryMagics'> 4358467264\n",
" 4358397248 cycle, skipping\n",
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" <class 'method'> history\n",
" <class 'method'> recall\n",
" <class 'method'> rerun\n",
" 4352336704 cycle, skipping\n",
" <class 'dict'> rerun\n",
" <class 'dict'> line\n",
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" <class 'dict'> _trait_values\n",
" <class 'tuple'> 1\n",
" <class 'IPython.core.magics.extension.ExtensionMagics'> 4358467168\n",
" 4358397248 cycle, skipping\n",
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" <class 'method'> load_ext\n",
" <class 'method'> unload_ext\n",
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" 4352336704 cycle, skipping\n",
" <class 'dict'> reload_ext\n",
" <class 'dict'> line\n",
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" <class 'dict'> _trait_values\n",
" <class 'tuple'> 1\n",
" <class 'IPython.core.magics.execution.ExecutionMagics'> 4358467072\n",
" 4358397248 cycle, skipping\n",
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" <class 'method'> prun\n",
" <class 'method'> pdb\n",
" <class 'method'> debug\n",
" <class 'method'> tb\n",
" <class 'method'> run\n",
" <class 'method'> timeit\n",
" <class 'method'> time\n",
" <class 'method'> macro\n",
" <class 'method'> prun\n",
" <class 'method'> debug\n",
" <class 'method'> timeit\n",
" <class 'method'> time\n",
" <class 'method'> capture\n",
" 4358723968 cycle, skipping\n",
" <class 'dict'> capture\n",
" <class 'dict'> cell\n",
" 4358729664 cycle, skipping\n",
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" <class 'dict'> _trait_values\n",
" <class 'tuple'> 1\n",
" <class 'IPython.core.magics.display.DisplayMagics'> 4358467120\n",
" 4358397248 cycle, skipping\n",
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" <class 'method'> javascript\n",
" <class 'method'> latex\n",
" <class 'method'> svg\n",
" <class 'method'> html\n",
" <class 'method'> markdown\n",
" <class 'method'> js\n",
" <class 'dict'> js\n",
" 4358723968 cycle, skipping\n",
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" <class 'dict'> _trait_values\n",
" <class 'tuple'> 1\n",
" <class 'IPython.core.magics.config.ConfigMagics'> 4358467024\n",
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" <class 'dict'> _trait_values\n",
" <class 'tuple'> 1\n",
" <class 'IPython.core.magics.code.CodeMagics'> 4358466448\n",
" 4358397248 cycle, skipping\n",
" 4358725120 cycle, skipping\n",
" <class 'method'> save\n",
" <class 'method'> pastebin\n",
" <class 'method'> loadpy\n",
" <class 'method'> load\n",
" <class 'method'> edit\n",
" <class 'dict'> edit\n",
" <class 'dict'> line\n",
" 4358727424 cycle, skipping\n",
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" <class 'dict'> _trait_values\n",
" <class 'tuple'> 1\n",
" <class 'IPython.core.magics.basic.BasicMagics'> 4358466832\n",
" 4358397248 cycle, skipping\n",
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" <class 'method'> alias_magic\n",
" <class 'method'> lsmagic\n",
" <class 'method'> magic\n",
" <class 'method'> page\n",
" <class 'method'> pprint\n",
" <class 'method'> colors\n",
" <class 'method'> xmode\n",
" <class 'method'> quickref\n",
" <class 'method'> doctest_mode\n",
" <class 'method'> gui\n",
" <class 'method'> precision\n",
" <class 'method'> notebook\n",
" 4352336704 cycle, skipping\n",
" <class 'dict'> notebook\n",
" <class 'dict'> line\n",
" 4358726016 cycle, skipping\n",
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" <class 'dict'> _trait_values\n",
" <class 'tuple'> 1\n",
" <class 'IPython.core.magics.auto.AutoMagics'> 4358466544\n",
" 4358397248 cycle, skipping\n",
" 4358725120 cycle, skipping\n",
" <class 'method'> autocall\n",
" <class 'method'> automagic\n",
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" 4352336704 cycle, skipping\n",
" <class 'dict'> line\n",
" 4352565760 cycle, skipping\n",
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" <class 'dict'> _trait_values\n",
" <class 'ipykernel.displayhook.ZMQShellDisplayHook'> 4358466640\n",
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" <class 'dict'> hook\n",
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" <class 'IPython.core.display_trap.DisplayTrap'> 4358466736\n",
" 4358454144 cycle, skipping\n",
" <class 'method'> __exit__\n",
"-------------- Starting over\n",
" <class 'dict'> _trait_values\n",
" <class 'tuple'> 1\n",
" <class 'ipykernel.zmqshell.ZMQDisplayPublisher'> 4358466592\n",
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" <class 'dict'> _trait_values\n",
" <class 'IPython.core.formatters.DisplayFormatter'> 4358466496\n",
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" <class 'dict'> parent\n",
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" <class 'IPython.core.formatters.IPythonDisplayFormatter'> 4369324144\n",
" <class 'dict'> ipython_display_formatter\n",
" 4358721408 cycle, skipping\n",
"---------------- Starting over\n",
" <class 'dict'> _trait_values\n",
" <class 'IPython.core.formatters.PlainTextFormatter'> 5068049040\n",
" <class 'dict'> text/plain\n",
" <class 'cell'> 5068049664\n",
" <class 'tuple'> 0\n",
" notfound <class 'tuple'>\n",
" <class 'function'> <lambda>\n",
" <class 'dict'> <class 'numpy.float64'>\n",
" <class 'dict'> type_printers\n",
" 4808104640 cycle, skipping\n",
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" <class 'IPython.core.formatters.JavascriptFormatter'> 5068050576\n",
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" <class 'IPython.core.formatters.JSONFormatter'> 5068050528\n",
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" <class 'IPython.core.formatters.LatexFormatter'> 5068050480\n",
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"---------------- Starting over\n",
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" <class 'IPython.core.formatters.PDFFormatter'> 5068050384\n",
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"---------------- Starting over\n",
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" <class 'IPython.core.formatters.PNGFormatter'> 5068050336\n",
" 4807996352 cycle, skipping\n",
"---------------- Starting over\n",
" <class 'dict'> _trait_values\n",
" <class 'IPython.core.formatters.SVGFormatter'> 5068050288\n",
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" <class 'dict'> _trait_values\n",
" <class 'IPython.core.formatters.MarkdownFormatter'> 5068049136\n",
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" <class 'IPython.core.formatters.HTMLFormatter'> 5068048704\n",
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" <class 'IPython.core.formatters.MimeBundleFormatter'> 4369324768\n",
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"------------- Starting over\n",
" <class 'dict'> _trait_values\n",
" <class 'tuple'> 1\n",
" <class 'IPython.core.completer.IPCompleter'> 4358463280\n",
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" <class 'method'> _clean_glob\n",
" <class 'method'> magic_color_matches\n",
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" <class 'list'> 0\n",
" 4358683520 cycle, skipping\n",
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"------------- Starting over\n",
" <class 'dict'> _trait_values\n",
" <class 'IPython.utils.PyColorize.Parser'> 4358461600\n",
" <class 'method'> format\n",
" <class 'cell'> 4358461696\n",
" <class 'tuple'> 0\n",
" <class 'function'> <lambda>\n",
" 4358454208 cycle, skipping\n",
"------- Starting over\n",
" <class 'dict'> _trait_values\n",
" <class 'IPython.core.prefilter.PrefilterHandler'> 4358461744\n",
" <class 'dict'> normal\n",
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" <class 'dict'> parent\n",
" <class 'method'> prefilter_lines\n",
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" <class 'tuple'> 1\n",
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" <class 'tuple'> 1\n",
" 4814814720 cycle, skipping\n",
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" 4814814720 cycle, skipping\n",
"------------ Starting over\n",
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" <class 'tuple'> 1\n",
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"------ Starting over\n",
" <class 'dict'> _trait_values\n",
" <class 'IPython.core.builtin_trap.BuiltinTrap'> 4358463184\n",
" 4358454144 cycle, skipping\n",
" <class 'method'> __exit__\n",
"------ Starting over\n",
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" <class 'IPython.core.events.EventManager'> 4358462848\n",
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" <class 'dict'> _trait_values\n",
" <class 'IPython.core.history.HistoryManager'> 4358460880\n",
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" <class 'dict'> history_manager\n",
" <class 'IPython.core.history.HistorySavingThread'> 4358460976\n",
" <class 'dict'> 6269448192\n",
" <class 'method'> stop\n",
" <class 'method'> _bootstrap\n",
" notfound <class 'tuple'>\n",
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" <class 'dict'> _trait_values\n",
" <class 'ipykernel.ipkernel.IPythonKernel'> 4358459008\n",
" <class 'dict'> _instance\n",
" <class 'method'> complete_request\n",
" <class 'method'> inspect_request\n",
" <class 'method'> history_request\n",
" <class 'method'> comm_info_request\n",
" <class 'method'> kernel_info_request\n",
" <class 'method'> connect_request\n",
" <class 'method'> shutdown_request\n",
" <class 'method'> is_complete_request\n",
" <class 'method'> interrupt_request\n",
" <class 'method'> apply_request\n",
" <class 'method'> complete_request\n",
" <class 'method'> inspect_request\n",
" <class 'method'> history_request\n",
" <class 'method'> comm_info_request\n",
" <class 'method'> kernel_info_request\n",
" <class 'method'> connect_request\n",
" <class 'method'> shutdown_request\n",
" <class 'method'> is_complete_request\n",
" <class 'method'> interrupt_request\n",
" <class 'method'> apply_request\n",
" <class 'method'> clear_request\n",
" <class 'method'> abort_request\n",
" <class 'method'> debug_request\n",
" <class 'method'> usage_request\n",
" 4358454144 cycle, skipping\n",
" <class 'method'> execute_request\n",
" <class 'method'> execute_request\n",
" <class 'method'> _publish_debug_event\n",
" <class 'cell'> 4358457568\n",
" <class 'method'> dispatch_control\n",
" <class 'method'> dispatch_debugpy\n",
" <class 'method'> schedule_dispatch\n",
" <class 'method'> dispatch_shell\n",
" <class 'method'> raw_input\n",
" <class 'method'> getpass\n",
" <class 'dict'> getpass\n",
" module getpass\n",
" <class 'function'> unix_getpass\n",
" <class 'function'> win_getpass\n",
" <class 'function'> fallback_getpass\n",
" <class 'function'> _raw_input\n",
" <class 'function'> getuser\n",
" 4327957056 cycle, skipping\n",
"----------------------------------------- Starting over\n",
" <class 'coroutine'> poll_control_queue\n",
" <class '_asyncio.Task'> 4363423664\n",
" <class 'builtin_function_or_method'> task_wakeup\n",
" <class 'cell'> 4363980320\n",
" <class 'tuple'> 1\n",
" <class 'function'> _call_check_cancel\n",
" <class 'list'> 0\n",
" <class 'dict'> _done_callbacks\n",
" <class 'concurrent.futures._base.Future'> 4363979648\n",
" <class 'cell'> 4363978400\n",
" <class 'tuple'> 2\n",
" <class 'function'> _call_set_state\n",
"--------------------------------------- Starting over\n",
" <class 'coroutine'> do_execute\n",
" frame execute_request\n",
" 5780370624 cycle, skipping\n",
" <class 'coroutine'> execute_request\n",
" frame dispatch_shell\n",
" 5780364864 cycle, skipping\n",
" <class 'coroutine'> dispatch_shell\n",
" 4360301392 cycle, skipping\n",
"----------------------------------------- Starting over\n",
" 5079085376 cycle, skipping\n",
"--------------------------------------- Starting over\n",
" 5079082912 cycle, skipping\n",
" frame do_execute\n",
" 5079085376 cycle, skipping\n",
"--------------------------------------- Starting over\n",
" 5070259696 cycle, skipping\n",
" 4360301392 cycle, skipping\n",
"--------------------------------------- Starting over\n",
" <class 'coroutine'> process_one\n",
" 4349464944 cycle, skipping\n",
"---------------------------------- Starting over\n",
" <class 'coroutine'> poll_stopped_queue\n",
" <class '_asyncio.Task'> 4363423872\n",
" <class 'builtin_function_or_method'> task_wakeup\n",
" <class 'cell'> 4363980272\n",
" <class 'tuple'> 1\n",
" <class 'function'> _call_check_cancel\n",
" <class 'list'> 0\n",
" <class 'dict'> _done_callbacks\n",
" <class 'concurrent.futures._base.Future'> 4363979984\n",
" <class 'cell'> 4363980128\n",
" <class 'tuple'> 2\n",
" <class 'function'> _call_set_state\n",
"---------------------------------- Starting over\n",
" <class 'coroutine'> dispatch_queue\n",
" <class '_asyncio.Task'> 4363424080\n",
" <class 'dict'> <_UnixSelectorEventLoop running=True closed=False debug=False>\n",
" <class 'cell'> 4358825168\n",
" <class 'builtin_function_or_method'> task_wakeup\n",
" <class 'asyncio.events.Handle'> 5079540608\n",
" notfound <class 'tuple'>\n",
"---------------------------------- Starting over\n",
" 4367489328 cycle, skipping\n",
" 4349464944 cycle, skipping\n",
"---------------------------------- Starting over\n",
" <class 'dict'> _trait_values\n",
" <class 'ipykernel.comm.manager.CommManager'> 4358826656\n",
" 4358449024 cycle, skipping\n",
" 4358397248 cycle, skipping\n",
" <class 'method'> comm_open\n",
" <class 'method'> comm_msg\n",
" <class 'method'> comm_close\n",
" <class 'dict'> comm_close\n",
" 4358449024 cycle, skipping\n",
"------- Starting over\n",
" <class 'traitlets.traitlets.MetaHasTraits'> IPythonKernel\n",
" <class 'dict'> IPythonKernel\n",
" notfound <class 'tuple'>\n",
" <class 'traitlets.traitlets.MetaHasTraits'> Kernel\n",
" <class 'tuple'> 0\n",
" notfound <class 'tuple'>\n",
" <class 'cell'> 4346563696\n",
" 4358459008 cycle, skipping\n",
" <class 'tuple'> 0\n",
" notfound <class 'tuple'>\n",
" notfound <class 'tuple'>\n",
" notfound <class 'tuple'>\n",
" <class 'function'> init_metadata\n",
" <class 'dict'> init_metadata\n",
" 4349433440 cycle, skipping\n",
"------------ Starting over\n",
" <class 'traitlets.traitlets.List'> 4358150448\n",
" 4352389760 cycle, skipping\n",
"------------ Starting over\n",
" <class 'traitlets.traitlets.Any'> 4358150400\n",
" 4352389760 cycle, skipping\n",
"------------ Starting over\n",
" <class 'traitlets.traitlets.Any'> 4358150352\n",
" 4352389760 cycle, skipping\n",
"------------ Starting over\n",
" <class 'traitlets.traitlets.ObserveHandler'> 4358150208\n",
" 4352389760 cycle, skipping\n",
" <class 'list'> 0\n",
" <class 'dict'> change\n",
" <class 'dict'> user_ns\n",
" 4358449024 cycle, skipping\n",
"------------ Starting over\n",
" <class 'traitlets.traitlets.Instance'> 4358150160\n",
" 4352389760 cycle, skipping\n",
"------------ Starting over\n",
" <class 'traitlets.traitlets.ObserveHandler'> 4358150016\n",
" 4352389760 cycle, skipping\n",
" <class 'list'> 0\n",
" <class 'dict'> change\n",
" 4358449088 cycle, skipping\n",
"------------ Starting over\n",
" <class 'traitlets.traitlets.Any'> 4358149968\n",
" 4352389760 cycle, skipping\n",
"------------ Starting over\n",
" <class 'traitlets.traitlets.Instance'> 4358149920\n",
" 4352389760 cycle, skipping\n",
"------------ Starting over\n",
" <class 'traitlets.traitlets.Bool'> 4358149872\n",
" 4352389760 cycle, skipping\n",
"------------ Starting over\n",
" <class 'traitlets.traitlets.Type'> 4346563792\n",
" 4352389760 cycle, skipping\n",
"------------ Starting over\n",
" <class 'traitlets.traitlets.Instance'> 4346563744\n",
" 4352389760 cycle, skipping\n",
"------------ Starting over\n",
" <class 'traitlets.traitlets.Type'> 4358150832\n",
" <class 'dict'> kernel_class\n",
" <class 'traitlets.traitlets.MetaHasTraits'> IPKernelApp\n",
" 4308432320 cycle, skipping\n",
" <class 'tuple'> 0\n",
" <class 'method'> launch_instance\n",
" <class 'ipykernel.kernelapp.IPKernelApp'> 4307692576\n",
" <class 'cell'> 4329244848\n",
" <class 'tuple'> 0\n",
" <class 'function'> initialize\n",
" <class 'dict'> __wrapped__\n",
" <class 'cell'> 4358152128\n",
" <class 'tuple'> 0\n",
" <class 'function'> initialize\n",
" 4352560320 cycle, skipping\n",
"----------------- Starting over\n",
" <class 'traitlets.traitlets.DefaultHandler'> 4358151600\n",
" 4352560320 cycle, skipping\n",
" <class 'dict'> connection_dir\n",
" 4352560320 cycle, skipping\n",
"----------------- Starting over\n",
" <class 'traitlets.traitlets.Unicode'> 4358151552\n",
" 4352560320 cycle, skipping\n",
"----------------- Starting over\n",
" <class 'traitlets.traitlets.Dict'> 4358151504\n",
" 4352560320 cycle, skipping\n",
"----------------- Starting over\n",
" <class 'traitlets.traitlets.Any'> 4358151456\n",
" 4352560320 cycle, skipping\n",
"----------------- Starting over\n",
" <class 'traitlets.traitlets.Any'> 4358151408\n",
" 4352560320 cycle, skipping\n",
"----------------- Starting over\n",
" <class 'traitlets.traitlets.Any'> 4358151360\n",
" 4352560320 cycle, skipping\n",
"----------------- Starting over\n",
" <class 'traitlets.traitlets.Any'> 4358151312\n",
" 4352560320 cycle, skipping\n",
"----------------- Starting over\n",
" <class 'traitlets.traitlets.Any'> 4358151264\n",
" 4352560320 cycle, skipping\n",
"----------------- Starting over\n",
" <class 'traitlets.traitlets.Any'> 4358151216\n",
" 4352560320 cycle, skipping\n",
"----------------- Starting over\n",
" <class 'traitlets.traitlets.Any'> 4358151168\n",
" 4352560320 cycle, skipping\n",
"----------------- Starting over\n",
" <class 'traitlets.traitlets.Any'> 4358151120\n",
" 4352560320 cycle, skipping\n",
"----------------- Starting over\n",
" <class 'traitlets.traitlets.Any'> 4358151072\n",
" 4352560320 cycle, skipping\n",
"----------------- Starting over\n",
" <class 'traitlets.traitlets.Instance'> 4358151024\n",
" 4352560320 cycle, skipping\n",
"----------------- Starting over\n",
" <class 'traitlets.traitlets.Any'> 4358150976\n",
" 4352560320 cycle, skipping\n",
"----------------- Starting over\n",
" <class 'traitlets.traitlets.Any'> 4358150592\n",
" 4352560320 cycle, skipping\n",
"----------------- Starting over\n",
" <class 'traitlets.traitlets.Dict'> 4329244944\n",
" 4352560320 cycle, skipping\n",
"----------------- Starting over\n",
" <class 'traitlets.traitlets.Dict'> 4329244896\n",
" 4352560320 cycle, skipping\n",
"----------------- Starting over\n",
" <class 'traitlets.traitlets.Bool'> 4358151792\n",
" 4352560320 cycle, skipping\n",
"----------------- Starting over\n",
" <class 'traitlets.traitlets.Bool'> 4358151840\n",
" 4352560320 cycle, skipping\n",
"----------------- Starting over\n",
" <class 'traitlets.traitlets.Int'> 4358152032\n",
" 4352560320 cycle, skipping\n",
"----------------- Starting over\n",
" <class 'traitlets.traitlets.DottedObjectName'> 4358151888\n",
" 4352560320 cycle, skipping\n",
"----------------- Starting over\n",
" <class 'traitlets.traitlets.Bool'> 4358151696\n",
" 4352560320 cycle, skipping\n",
"----------------- Starting over\n",
" <class 'traitlets.traitlets.Bool'> 4358151744\n",
" 4352560320 cycle, skipping\n",
"----------------- Starting over\n",
" 4358150832 cycle, skipping\n",
"----------------- Starting over\n",
" <class 'traitlets.traitlets.Int'> 4358152080\n",
" 4352560320 cycle, skipping\n",
"----------------- Starting over\n",
" <class 'traitlets.traitlets.DottedObjectName'> 4358151936\n",
" 4352560320 cycle, skipping\n",
"----------------- Starting over\n",
" <class 'traitlets.traitlets.Bool'> 4358151984\n",
" 4352560320 cycle, skipping\n",
"----------------- Starting over\n",
" 5780362048 cycle, skipping\n",
" <class 'dict'> classes\n",
" 4307692576 cycle, skipping\n",
"------------ Starting over\n",
" 4352560320 cycle, skipping\n",
"----------- Starting over\n",
" 4308431616 cycle, skipping\n",
"----------- Starting over\n",
" <class 'tuple'> 1\n",
" notfound <class 'tuple'>\n",
" 4308431616 cycle, skipping\n",
" 4814814720 cycle, skipping\n",
"-------- Starting over\n",
" module ipykernel.ipkernel\n",
" <class 'function'> __init__\n",
" <class 'function'> dispatch_debugpy\n",
" <class 'function'> poll_stopped_queue\n",
" <class 'function'> start\n",
" <class 'function'> set_parent\n",
" 4358262496 cycle, skipping\n",
" <class 'function'> finish_metadata\n",
" <class 'function'> _forward_input\n",
" <class 'function'> _restore_input\n",
" <class 'function'> do_execute\n",
" <class 'function'> do_complete\n",
" <class 'function'> do_debug_request\n",
" <class 'function'> _experimental_do_complete\n",
" <class 'function'> do_inspect\n",
" <class 'function'> do_history\n",
" <class 'function'> do_shutdown\n",
" <class 'function'> do_is_complete\n",
" <class 'function'> do_apply\n",
" <class 'function'> do_clear\n",
" <class 'function'> __init__\n",
" <class 'function'> banner\n",
" <class 'function'> execution_count\n",
" <class 'function'> execution_count\n",
" <class 'function'> _cancel_on_sigint\n",
" <class 'function'> _user_module_changed\n",
" <class 'function'> _user_ns_changed\n",
" 4349476288 cycle, skipping\n",
" <class 'cell'> 4358150304\n",
" <class 'tuple'> 0\n",
" <class 'function'> compatible_observer\n",
" <class 'dict'> func\n",
" 4358150208 cycle, skipping\n",
"--------------------------------- Starting over\n",
" 4363443376 cycle, skipping\n",
"------- Starting over\n",
" 5780551616 cycle, skipping\n",
" 4308431616 cycle, skipping\n",
"----- Starting over\n",
" 4308431616 cycle, skipping\n",
"----- Starting over\n",
" <class 'traitlets.traitlets.MetaHasTraits'> ZMQInteractiveShell\n",
" 4308432320 cycle, skipping\n",
" <class 'dict'> ZMQInteractiveShell\n",
" notfound <class 'tuple'>\n",
" <class 'cell'> 4358149008\n",
" 4358460208 cycle, skipping\n",
" <class 'tuple'> 0\n",
" notfound <class 'tuple'>\n",
" notfound <class 'tuple'>\n",
" <class 'function'> init_magics\n",
" <class 'dict'> init_magics\n",
" 4349431632 cycle, skipping\n",
"-------- Starting over\n",
" 4358449024 cycle, skipping\n",
"------- Starting over\n",
" <class 'traitlets.traitlets.ObserveHandler'> 4358149728\n",
" 4352566976 cycle, skipping\n",
" <class 'list'> 0\n",
" <class 'dict'> change\n",
" 4358454272 cycle, skipping\n",
"------- Starting over\n",
" <class 'traitlets.traitlets.DefaultHandler'> 4358149632\n",
" 4352566976 cycle, skipping\n",
" <class 'dict'> exiter\n",
" 4352566976 cycle, skipping\n",
"------- Starting over\n",
" <class 'traitlets.traitlets.Instance'> 4358149584\n",
" 4352566976 cycle, skipping\n",
"------- Starting over\n",
" <class 'traitlets.traitlets.CBool'> 4358149488\n",
" 4352566976 cycle, skipping\n",
"------- Starting over\n",
" <class 'traitlets.traitlets.CBool'> 4358149392\n",
" 4352566976 cycle, skipping\n",
"------- Starting over\n",
" <class 'traitlets.traitlets.DefaultHandler'> 4358149296\n",
" 4352566976 cycle, skipping\n",
" 4352183680 cycle, skipping\n",
"------- Starting over\n",
" <class 'traitlets.traitlets.Any'> 4358149248\n",
" 4352566976 cycle, skipping\n",
"------- Starting over\n",
" <class 'traitlets.traitlets.Any'> 4358149200\n",
" 4352566976 cycle, skipping\n",
"------- Starting over\n",
" <class 'traitlets.traitlets.Any'> 4358149152\n",
" 4352566976 cycle, skipping\n",
"------- Starting over\n",
" <class 'traitlets.traitlets.Type'> 4358149104\n",
" 4352566976 cycle, skipping\n",
"------- Starting over\n",
" <class 'traitlets.traitlets.Type'> 4358149056\n",
" 4352566976 cycle, skipping\n",
"------- Starting over\n",
" 4346563792 cycle, skipping\n",
"------- Starting over\n",
" 4352560320 cycle, skipping\n",
"------- Starting over\n",
" 4308431616 cycle, skipping\n",
"------ Starting over\n",
" module ipykernel.zmqshell\n",
" <class 'function'> set_parent\n",
" <class 'function'> _flush_streams\n",
" <class 'function'> publish\n",
" <class 'function'> clear_output\n",
" <class 'function'> register_hook\n",
" <class 'function'> unregister_hook\n",
" <class 'function'> edit\n",
" <class 'function'> clear\n",
" <class 'function'> less\n",
" <class 'function'> man\n",
" <class 'function'> connect_info\n",
" <class 'function'> qtconsole\n",
" <class 'function'> autosave\n",
" <class 'function'> _hooks\n",
" <class 'function'> _default_thread_local\n",
" <class 'function'> enable_gui\n",
" <class 'function'> init_environment\n",
" <class 'function'> init_hooks\n",
" <class 'function'> init_data_pub\n",
" <class 'function'> ask_exit\n",
" <class 'function'> run_cell\n",
" <class 'function'> _showtraceback\n",
" <class 'function'> set_next_input\n",
" <class 'function'> set_parent\n",
" <class 'function'> get_parent\n",
" 4358260768 cycle, skipping\n",
" <class 'function'> init_virtualenv\n",
" <class 'function'> system_piped\n",
" <class 'function'> data_pub\n",
" <class 'function'> data_pub\n",
" <class 'function'> _default_banner1\n",
" <class 'function'> _default_exiter\n",
" <class 'function'> _update_exit_now\n",
" <class 'dict'> func\n",
" 4358149728 cycle, skipping\n",
" Starting over\n",
"5072358848 cycle, skipping\n",
"done\n",
"<class 'list'> 1\n",
" <class 'list_iterator'> 5072358848\n",
" Starting over\n",
"traceback <cell line: 1> 4364014912\n",
" traceback run_code 4479959872\n",
" <class 'Exception'> 4808676016\n",
" <class 'dict'> error_in_exec\n",
" <class 'IPython.core.interactiveshell.ExecutionResult'> 5067852240\n",
" frame run_code\n",
" frame <cell line: 1>\n",
" 4479959872 cycle, skipping\n",
" frame test_exception_raise\n",
" 4364014912 cycle, skipping\n",
" frame allocate_tensor\n",
" traceback allocate_tensor 4807687872\n",
" 4358453760 cycle, skipping\n",
" 4814807616 cycle, skipping\n",
" traceback test_exception_raise 4802244864\n",
" <class 'tuple'> 1\n",
" 4364014912 cycle, skipping\n",
" <class 'list'> 0\n",
"------- Starting over\n",
" 4364014912 cycle, skipping\n",
"done\n"
]
}
],
"source": [
"def print_ref_graph(obj):\n",
" \"\"\"Returns a list of references keep this object alive\"\"\"\n",
" orig_obj = obj\n",
" seen = set()\n",
" \n",
" gc.collect()\n",
" level = 0\n",
" branches = []\n",
" while obj is not None:\n",
" nobj = None\n",
" path_printed = False\n",
" for nobj in gc.get_referrers(obj):\n",
" if path_printed and id(nobj) not in seen and isinstance(nobj, (list, dict, types.FrameType, types.TracebackType)):\n",
" branches.append((level-1, nobj))\n",
" continue\n",
" print(' '*level, end='')\n",
" if id(nobj) in seen: \n",
" print(f'{id(nobj)} cycle, skipping')\n",
" nobj = None\n",
" continue\n",
" else: \n",
" seen.add(id(nobj))\n",
"\n",
" if isinstance(nobj, dict) and 'hiddenref' in nobj: \n",
" nobj = None\n",
" continue\n",
" elif isinstance(nobj, types.FrameType): \n",
" print('frame', nobj.f_code.co_name)\n",
" elif isinstance(nobj, types.TracebackType): \n",
" print('traceback', nobj.tb_frame.f_code.co_name, id(nobj))\n",
" elif isinstance(nobj, (tuple,list)):\n",
" for i in range(len(nobj)):\n",
" if nobj[i] is obj:\n",
" print(type(nobj), i)\n",
" break\n",
" else:\n",
" print('notfound', type(nobj))\n",
" elif isinstance(nobj, dict):\n",
" for k in nobj:\n",
" if nobj[k] is obj:\n",
" print(type(nobj), k)\n",
" break\n",
" else:\n",
" print('notfound', type(nobj))\n",
" elif isinstance(nobj, types.ModuleType):\n",
" print('module', nobj.__name__)\n",
" else:\n",
" print(type(nobj), nobj.__name__ if hasattr(nobj, '__name__') else id(nobj))\n",
" \n",
" path_printed = True # effectively break\n",
" obj = nobj\n",
" level += 1\n",
" \n",
" \n",
" if not path_printed:\n",
" if branches: \n",
" \n",
" level, obj = branches.pop()\n",
" print(\"-\"*(level-1),\"Starting over\")\n",
" else:\n",
" print('done')\n",
" obj = None\n",
" else: \n",
" pass\n",
" \n",
"for tb in find_tracebacks(*list(tensors())):\n",
" print_ref_graph(tb)\n",
" "
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": 42,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"after allocation\n",
"5780611024 torch.Size([10000, 10000]) 2\n",
"Finally block\n",
"5780611024 torch.Size([10000, 10000]) 3\n"
]
},
{
"ename": "Exception",
"evalue": "I am a bad function",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mException\u001b[0m Traceback (most recent call last)",
"\u001b[1;32m/Users/pczapla/Workspace/fastai/gpumem/exception_handling_jupyter.ipynb Cell 22\u001b[0m in \u001b[0;36m<cell line: 1>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> <a href='vscode-notebook-cell:/Users/pczapla/Workspace/fastai/gpumem/exception_handling_jupyter.ipynb#X31sZmlsZQ%3D%3D?line=0'>1</a>\u001b[0m test_exception_raise(should_raise\u001b[39m=\u001b[39;49m\u001b[39mTrue\u001b[39;49;00m)\n",
"\u001b[1;32m/Users/pczapla/Workspace/fastai/gpumem/exception_handling_jupyter.ipynb Cell 22\u001b[0m in \u001b[0;36mtest_exception_raise\u001b[0;34m(should_raise)\u001b[0m\n\u001b[1;32m <a href='vscode-notebook-cell:/Users/pczapla/Workspace/fastai/gpumem/exception_handling_jupyter.ipynb#X31sZmlsZQ%3D%3D?line=0'>1</a>\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mtest_exception_raise\u001b[39m(should_raise\u001b[39m=\u001b[39m\u001b[39mFalse\u001b[39;00m):\n\u001b[1;32m <a href='vscode-notebook-cell:/Users/pczapla/Workspace/fastai/gpumem/exception_handling_jupyter.ipynb#X31sZmlsZQ%3D%3D?line=1'>2</a>\u001b[0m \u001b[39mtry\u001b[39;00m:\n\u001b[0;32m----> <a href='vscode-notebook-cell:/Users/pczapla/Workspace/fastai/gpumem/exception_handling_jupyter.ipynb#X31sZmlsZQ%3D%3D?line=2'>3</a>\u001b[0m allocate_tensor(should_raise)\n\u001b[1;32m <a href='vscode-notebook-cell:/Users/pczapla/Workspace/fastai/gpumem/exception_handling_jupyter.ipynb#X31sZmlsZQ%3D%3D?line=3'>4</a>\u001b[0m \u001b[39mfinally\u001b[39;00m:\n\u001b[1;32m <a href='vscode-notebook-cell:/Users/pczapla/Workspace/fastai/gpumem/exception_handling_jupyter.ipynb#X31sZmlsZQ%3D%3D?line=4'>5</a>\u001b[0m print_tensor_size(\u001b[39m'\u001b[39m\u001b[39mFinally block\u001b[39m\u001b[39m'\u001b[39m)\n",
"\u001b[1;32m/Users/pczapla/Workspace/fastai/gpumem/exception_handling_jupyter.ipynb Cell 22\u001b[0m in \u001b[0;36mallocate_tensor\u001b[0;34m(should_raise)\u001b[0m\n\u001b[1;32m <a href='vscode-notebook-cell:/Users/pczapla/Workspace/fastai/gpumem/exception_handling_jupyter.ipynb#X31sZmlsZQ%3D%3D?line=9'>10</a>\u001b[0m x \u001b[39m*\u001b[39m\u001b[39m=\u001b[39m \u001b[39m2\u001b[39m\n\u001b[1;32m <a href='vscode-notebook-cell:/Users/pczapla/Workspace/fastai/gpumem/exception_handling_jupyter.ipynb#X31sZmlsZQ%3D%3D?line=10'>11</a>\u001b[0m \u001b[39mif\u001b[39;00m should_raise:\n\u001b[0;32m---> <a href='vscode-notebook-cell:/Users/pczapla/Workspace/fastai/gpumem/exception_handling_jupyter.ipynb#X31sZmlsZQ%3D%3D?line=11'>12</a>\u001b[0m \u001b[39mraise\u001b[39;00m \u001b[39mException\u001b[39;00m(\u001b[39m'\u001b[39m\u001b[39mI am a bad function\u001b[39m\u001b[39m'\u001b[39m)\n\u001b[1;32m <a href='vscode-notebook-cell:/Users/pczapla/Workspace/fastai/gpumem/exception_handling_jupyter.ipynb#X31sZmlsZQ%3D%3D?line=12'>13</a>\u001b[0m \u001b[39mreturn\u001b[39;00m x\n",
"\u001b[0;31mException\u001b[0m: I am a bad function"
]
}
],
"source": [
"test_exception_raise(should_raise=True)\n"
]
},
{
"cell_type": "code",
"execution_count": 160,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<traceback at 0x2ab91b080>"
]
},
"execution_count": 160,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"def make_empty_traceback():\n",
" try: \n",
" raise Exception('Empty traceback')\n",
" except Exception as e:\n",
" return e.__traceback__\n",
"make_empty_traceback()"
]
},
{
"cell_type": "code",
"execution_count": 43,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Before clean up\n",
"5780611024 torch.Size([10000, 10000]) 4\n",
"clear <class 'dict'> 4306726464\n",
"clear <class 'dict'> 4358720512\n",
"clear <class 'Exception'> 4802388560\n",
"None\n",
"None\n",
"After clean up\n"
]
}
],
"source": [
"print_tensor_size('Before clean up')\n",
"agressive_clear_traceback()\n",
"clean_up()\n",
"print_tensor_size('After clean up')"
]
},
{
"cell_type": "code",
"execution_count": 46,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"After clean up\n"
]
}
],
"source": [
"print_tensor_size('After clean up')"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3.10.4 ('sd')",
"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": "3.10.4"
},
"vscode": {
"interpreter": {
"hash": "89a5cca1a28eb213eb14abdad89b9eabded0d66f27b6c5a9aad0c68445338715"
}
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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