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How to use rebuild method in Behave
Best Python code snippet using behave
rebuilder.py
Source:rebuilder.py 
...25 self.op_graph = kwargs['graph']26 self.rebuild_ops = kwargs['rebuild_ops']27 28 @abstractmethod29 def rebuild(self, configs=None):30 pass31 32 '''33 @abstractmethod34 def __get_rebuild_config(self, index, op_dict):35 pass36 37 def get_down_ops(self, op):38 down_ops = []39 for aop in self.op_graph.get_ops():40 if (aop.get_input_num() > 0):# and (op.get_name() in [bop.get_name for bop in get_input_ops_list(aop)]):41 aop_input_names = [bop.get_name() for bop in get_input_ops_list(aop)]42 if op.get_name() in aop_input_names:43 down_ops.append(aop)44 return down_ops45 '''46class ReluRebuilder(BaseRebuilder):47 def __init__(self, *args, **kwargs):48 super().__init__(*args, **kwargs)49 50 def rebuild(self, graph, configs=None):51 if not isinstance(configs, dict):52 raise ValueError('Relu op rebuild configs should be dict')53 54 for relu_op in self.rebuild_ops:55 #input_ops = [node for node in self.op_graph.get_op(relu_op).get_input_ops()]56 input_ops = [node for node in get_input_ops_list(self.op_graph.get_op(relu_op))]57 relu_rebuild_config = self.__get_rebuild_config(relu_op)58 59 #if relu_rebuild_config['relu_up_op'].get_type() != 'fix':60 input_ops[0].set_attr('fuse_relu', True)61 for down_op in relu_rebuild_config['relu_down_ops']:62 down_op.replace_input_ops(relu_rebuild_config['relu_op'], input_ops[0])63 graph.remove_op(relu_rebuild_config['relu_op'])64 65 def __get_rebuild_config(self, index):66 rebuild_config = {}67 rebuild_config['relu_op'] = self.op_graph.get_op(index)68 #rebuild_config['relu_up_op'] = self.op_graph.get_op(input_ops[0])69 70 relu_down_ops = get_down_ops(rebuild_config['relu_op'], self.op_graph)71 rebuild_config['relu_down_ops'] = relu_down_ops72 73 return rebuild_config74class FixRebuilder(BaseRebuilder):75 def __init__(self, *args, **kwargs):76 super().__init__(*args, **kwargs)77 78 def rebuild(self, graph, configs=None):79 if not isinstance(configs, dict):80 raise ValueError('Fix op rebuild configs should be dict')81 82 #print(self.rebuild_ops)83 for fix_op in self.rebuild_ops:84 #print(fix_op)85 #input_ops = [node for node in self.op_graph.get_op(fix_op).get_input_ops()]86 input_ops = [node for node in get_input_ops_list(self.op_graph.get_op(fix_op))]87 configs[input_ops[0].get_name()] = self.op_graph.get_op(fix_op).get_attrs()88 fix_rebuild_config = self.__get_rebuild_config(fix_op)89 90 for down_op in fix_rebuild_config['fix_down_ops']:91 down_op.replace_input_ops(fix_rebuild_config['fix_op'], input_ops[0])92 graph.remove_op(fix_rebuild_config['fix_op'])93 94 def __get_rebuild_config(self, index):95 rebuild_config = {}96 rebuild_config['fix_op'] = self.op_graph.get_op(index)97 #rebuild_config['fix_up_op'] = self.op_graph.get_op(op_dict[index][0])98 99 fix_down_ops = get_down_ops(rebuild_config['fix_op'], self.op_graph)100 rebuild_config['fix_down_ops'] = fix_down_ops101 102 return rebuild_config103class MatmulRebuilder(BaseRebuilder):104 def __init__(self, *args, **kwargs):105 super().__init__(*args, **kwargs)106 107 def rebuild(self, graph, configs=None):108 if not isinstance(configs, dict):109 raise ValueError('Matmul op rebuild configs should be dict')110 for matmul_op in self.rebuild_ops:111 if not self.__should_rebuild(matmul_op):112 continue113 #input_ops = [node for node in self.op_graph.get_op(matmul_op).get_input_ops()]114 input_ops = [node for node in get_input_ops_list(self.op_graph.get_op(matmul_op))]115 matmul_rebuild_config = self.__get_rebuild_config(matmul_op, input_ops)116 self.__rebuild_one_op(graph, matmul_rebuild_config, configs)117 118 def __should_rebuild(self, op):119 #if len(self.rebuild_ops[op]) == 3:120 if self.op_graph.get_op(op).get_input_num() == 3:121 return True122 else:123 return False124 125 def __get_rebuild_config(self, index, input_ops):126 rebuild_config = {}127 rebuild_config['matmul_op'] = self.op_graph.get_op(index)128 129 for node in input_ops:130 #node = self.op_graph.get_op(name)131 '''132 if node.get_type() == 'data':133 rebuild_config['input'] = node134 '''135 if (node.get_type() == 'const') and (node.get_output_tensor().ndim == 2):136 rebuild_config['weights'] = node137 elif (node.get_type() == 'const') and (node.get_output_tensor().ndim == 1):138 rebuild_config['bias'] = node139 else:140 rebuild_config['input'] = node141 142 matmul_down_ops = get_down_ops(rebuild_config['matmul_op'], self.op_graph)143 rebuild_config['matmul_down_ops'] = matmul_down_ops144 return rebuild_config145 146 def __rebuild_one_op(self, graph, rebuild_configs, fix_configs):147 matmul_op = rebuild_configs['matmul_op']148 149 wx_xt_ops: Dict[str, List[Op]] = {}150 wx_xt_ops['input'] = [rebuild_configs['input']]151 wx_xt_ops['input'].append(rebuild_configs['weights'])152 153 attrs: Dict[str, Any] = {}154 if matmul_op.get_type() == 'matmul':155 attrs['transpose_a'] = matmul_op.get_attr('transpose_a')156 attrs['transpose_b'] = matmul_op.get_attr('transpose_b')157 else:158 attrs['transpose_a'] = False159 attrs['transpose_b'] = True160 161 wx_xt_name = matmul_op.get_name() + '_matmul'162 wx_xt_mmul = graph.create_op(wx_xt_name, 'matmul', attrs=attrs, input_ops=wx_xt_ops)163 fix_configs[wx_xt_name] = fix_configs[matmul_op.get_name()]164 165 add_ops: Dict[str, List[Op]] = {}166 add_ops['input'] = [wx_xt_mmul]167 add_ops['input'].append(rebuild_configs['bias'])168 169 add_name = matmul_op.get_name() + '_eltwise'170 #add_name = matmul_op.get_name()171 #add_mmul = graph.create_op(add_name, 'eltwise', input_ops=add_ops)172 add_mmul = graph.create_op(add_name, 'add', input_ops=add_ops)173 fix_configs[add_name] = fix_configs[matmul_op.get_name()]174 175 if matmul_op.has_attr('fuse_relu'):176 add_mmul.set_attr('fuse_relu', True)177 178 for down_op in rebuild_configs['matmul_down_ops']:179 down_op.replace_input_ops(matmul_op, add_mmul)180 graph.remove_op(matmul_op)181class StridedSliceRebuilder(BaseRebuilder):182 def __init__(self, *args, **kwargs):183 super().__init__(*args, **kwargs)184 self.__fix_data = kwargs['fix_data']185 self.DATA_OPS = ['const']186 self.OPERATION_OPS = ['eltwise', 'matmul', 'linear', 'add']187 188 def rebuild(self, graph, configs=None):189 if not isinstance(configs, dict):190 raise ValueError('Strided_slice op rebuild configs should be dict')191 192 while len(self.rebuild_ops) > 0:193 #any_dict_index = list(self.rebuild_ops.keys())[0]194 any_index = self.rebuild_ops[0]195 stridedslice_rebuild_type, stridedslice_rebuild_config = self.__get_rebuild_config(any_index, self.rebuild_ops)196 self.__rebuild_one_op(graph, stridedslice_rebuild_type, stridedslice_rebuild_config, configs)197 198 def __get_rebuild_config(self, index, op_dict):199 rebuild_config = {}200 201 strided_op_list = []202 #input_op_name = op_dict[index][0]203 #input_ops = [node for node in self.op_graph.get_op(index).get_input_ops()]204 input_ops = [node for node in get_input_ops_list(self.op_graph.get_op(index))]205 input_op_name = input_ops[0].get_name()206 207 for key in op_dict:208 #key_input_ops = [node for node in self.op_graph.get_op(key).get_input_ops()]209 key_input_ops = [node for node in get_input_ops_list(self.op_graph.get_op(key))]210 #if op_dict[key][0] == input_op_name:211 if key_input_ops[0].get_name() == input_op_name:212 strided_op_list.append(self.op_graph.get_op(key))213 rebuild_config['stridedslice_ops'] = strided_op_list214 215 stridedslice_up_op = self.op_graph.get_op(input_op_name)216 rebuild_config['stridedslice_up_op'] = stridedslice_up_op217 rebuild_type, rebuild_config['params_ops'] = self.__get_legal_stridedslice_param(stridedslice_up_op)218 219 stridedslice_down_ops = {}220 for op in strided_op_list:221 down_ops = get_down_ops(op, self.op_graph)222 stridedslice_down_ops[op] = down_ops223 rebuild_config['stridedslice_down_ops'] = stridedslice_down_ops224 225 for op in strided_op_list:226 #del op_dict[op.get_name()]227 op_dict.remove(op.get_name())228 229 return rebuild_type, rebuild_config230 231 def __get_operation_stridedslice_param(self, up_op):232 param_ops_dict = {'input':None, 'weights':None, 'bias':None}233 234 input_num = up_op.get_input_num()235 #if (input_num == 2) and (up_op.get_type() == 'eltwise'):236 if (input_num == 2) and (up_op.get_type() == 'add'):237 input_ops = get_input_ops_list(up_op)238 input_ops_type = [input_op.get_type() for input_op in input_ops]239 if ('const' in input_ops_type) and (('matmul' in input_ops_type) or ('linear' in input_ops_type)):240 #if set(['const', 'matmul']) == set([input_op.get_type() for input_op in input_ops]):241 for op in input_ops:242 if op.get_type() == 'const':243 param_ops_dict['bias'] = op244 elif op.get_type() in GLOBAL_VARIABLE.MATMUL_OPS:245 if op.get_input_num() != 2:246 raise ValueError('Can not handle this kind of strided_slice op')247 for matmul_op in get_input_ops_list(op):248 if op.get_type() == 'data':249 param_ops_dict['input'] = matmul_op250 else:251 param_ops_dict['weights'] = matmul_op252 253 else:254 raise ValueError('Can not handle this kind of strided_slice op')255 256 elif (input_num > 1) and (up_op.get_type() in GLOBAL_VARIABLE.MATMUL_OPS):257 param_ops = get_input_ops_list(up_op)258 for op in param_ops:259 if op.get_type() == 'data':260 param_ops_dict['input'] = op261 elif op.get_output_tensor().ndim == 2:262 param_ops_dict['weights'] = op263 elif op.get_output_tensor().ndim == 1:264 param_ops_dict['bias'] = op265 else:266 raise ValueError('Can not handle this kind of strided_slice op')267 return param_ops_dict268 269 def __get_legal_stridedslice_param(self, up_op):270 if up_op.get_type() in self.DATA_OPS:271 stridedslice_type = 1272 param_ops_dict = {'const':up_op}273 elif up_op.get_type() in self.OPERATION_OPS:274 stridedslice_type = 2275 param_ops_dict = self.__get_operation_stridedslice_param(up_op)276 else:277 raise ValueError('Can not handle this kind of strided_slice op')278 return stridedslice_type, param_ops_dict279 280 def __rebuild_one_operation_op(self, graph, rebuild_configs, fix_configs):281 num = 0282 283 stridedslice_ops = rebuild_configs['stridedslice_ops'] 284 stridedslice_up_op = rebuild_configs['stridedslice_up_op']285 params_ops = rebuild_configs['params_ops']286 param_input = params_ops['input']287 param_weights = params_ops['weights']288 param_bias = params_ops['bias']289 stridedslice_down_ops = rebuild_configs['stridedslice_down_ops']290 291 for op in stridedslice_ops:292 op_attrs = op.get_attrs()293 begin = op_attrs['begin']294 end = op_attrs['end']295 end_mask = op_attrs['end_mask']296 if param_weights.get_name() in self.__fix_data:297 weights_data = self.__fix_data[param_weights.get_name()]298 else:299 #weights_data = param_weights.get_attrs()['data']300 #weights_data = param_weights.get_attr('data')301 weights_data = const_op_data(param_weights)302 if end_mask == 1:303 weights_tensor = weights_data[begin[1]:end[1], :]304 else:305 weights_tensor = weights_data[begin[1]:end[1], begin[0]:end[0]]306 307 weight_op_name = param_weights.get_name()+'_split_'+str(num)308 #weights_op = graph.create_op(name=weight_op_name, kind=param_weights.get_type(), tensor=weights_tensor)309 weights_op = graph.create_const_op(weight_op_name, weights_tensor)310 fix_configs[weight_op_name] = fix_configs[param_weights.get_name()] 311 312 wx_xt_ops: Dict[str, List[Op]] = {}313 wx_xt_ops['input'] = [param_input]314 #wx_xt_ops['input'].append(param_input)315 wx_xt_ops['input'].append(weights_op)316 317 attrs: Dict[str, Any] = {}318 if stridedslice_up_op.get_type() == 'matmul':319 attrs['transpose_a'] = stridedslice_up_op.get_attr('transpose_a')320 attrs['transpose_b'] = stridedslice_up_op.get_attr('transpose_b')321 else:322 attrs['transpose_a'] = False323 attrs['transpose_b'] = True324 325 wx_xt_name = op.get_name() + '_matmul'326 wx_xt_mmul = graph.create_op(wx_xt_name, 'matmul', attrs=attrs, input_ops=wx_xt_ops)327 fix_configs[wx_xt_name] = fix_configs[op.get_name()]328 329 if param_bias is not None:330 if param_bias.get_name() in self.__fix_data:331 bias_data = self.__fix_data[param_bias.get_name()]332 else:333 #bias_data = param_bias.get_attrs()['data']334 #bias_data = param_bias.get_attr('data')335 bias_data = const_op_data(param_bias)336 bias_tensor = bias_data[begin[1]:end[1]]337 bias_op_name = param_bias.get_name()+'_split_'+str(num)338 #bias_op = graph.create_op(name=bias_op_name, kind=param_bias.get_type(), tensor=bias_tensor)339 bias_op = graph.create_const_op(bias_op_name, bias_tensor)340 fix_configs[bias_op_name] = fix_configs[param_bias.get_name()]341 342 add_ops: Dict[str, List[Op]] = {}343 add_ops['input'] = [wx_xt_mmul]344 add_ops['input'].append(bias_op)345 add_name = op.get_name() + '_eltwise'346 #add_mmul = graph.create_op(add_name, 'eltwise', input_ops=add_ops)347 add_mmul = graph.create_op(add_name, 'add', input_ops=add_ops)348 fix_configs[add_name] = fix_configs[op.get_name()]349 350 for down_op in stridedslice_down_ops[op]:351 if param_bias is not None:352 down_op.replace_input_ops(op, add_mmul)353 else:354 down_op.replace_input_ops(op, wx_xt_mmul)355 graph.remove_op(op)356 num = num + 1357 graph.remove_op(stridedslice_up_op)358 359 def __rebuild_one_const_op(self, graph, rebuild_configs, fix_configs):360 num = 0361 362 stridedslice_ops = rebuild_configs['stridedslice_ops'] 363 stridedslice_up_op = rebuild_configs['stridedslice_up_op']364 const_op = rebuild_configs['const']365 stridedslice_down_ops = rebuild_configs['stridedslice_down_ops']366 367 for op in stridedslice_ops:368 op_attrs = op.get_attrs()369 begin = op_attrs['begin']370 end = op_attrs['end']371 end_mask = op_attrs['end_mask']372 if const_op.get_name() in self.__fix_data:373 const_data = self.__fix_data[const_op.get_name()]374 else:375 #const_data = const_op.get_attrs()['data']376 #const_data = const_op.get_attr('data')377 const_data = const_op_data(const_op)378 if end_mask == 1:379 const_tensor = const_data[begin[1]:end[1], :]380 else:381 const_tensor = const_data[begin[1]:end[1], begin[0]:end[0]]382 383 split_op_name = const_op.get_name()+'_split_'+str(num)384 #split_op = graph.create_op(name=split_op_name, kind=const_op.get_type(), tensor=const_tensor)385 split_op = graph.create_const_op(split_op_name, const_tensor)386 fix_configs[split_op_name] = fix_configs[const_op.get_name()] 387 388 for down_op in stridedslice_down_ops[op]:389 down_op.replace_input_ops(op, split_op)390 graph.remove_op(op)391 num = num + 1392 graph.remove_op(stridedslice_up_op)393 394 395 def __rebuild_one_op(self, graph, rebuild_type, rebuild_configs, fix_configs):396 if rebuild_type == 1:397 self.__rebuild_one_const_op(graph, rebuild_configs, fix_configs)398 elif rebuild_type == 2:399 self.__rebuild_one_operation_op(graph, rebuild_configs, fix_configs)400 401 402'''403class StridedSliceRebuilder(Rebuilder):404 def __init__(self, *args, **kwargs):405 super(StridedSliceRebuilder).__init__(*args, **kwargs)406 407 408 self.graph = configs['graph']409 self.fix_data = configs['fix_data']410 self.stridedslice_ops = configs['stridedslice_ops'] 411 self.stridedslice_up_op = configs['stridedslice_up_op']412 params_ops = configs['params_ops']413 self.param_input = params_ops['input']414 self.param_weights = params_ops['weights']415 self.param_bias = params_ops['bias']416 self.stridedslice_down_ops = configs['stridedslice_down_ops']417 418 def rebuild(self, fix_configs):419 num = 0420 for op in self.stridedslice_ops:421 op_attrs = op.get_attrs()422 begin = op_attrs['begin']423 end = op_attrs['end']424 end_mask = op_attrs['end_mask']425 if self.param_weights.get_name() in self.fix_data:426 weights_data = self.fix_data[self.param_weights.get_name()]427 else:428 #weights_data = self.param_weights.get_attrs()['data']429 weights_data = self.param_weights.get_attr('data')430 if end_mask == 1:431 weights_tensor = weights_data[begin[1]:end[1], :]432 else:433 weights_tensor = weights_data[begin[1]:end[1], begin[0]:end[0]]434 435 weight_op_name = self.param_weights.get_name()+'_split_'+str(num)436 weights_op = self.graph.create_op(name=weight_op_name, 437 kind=self.param_weights.get_type(), tensor=weights_tensor)438 fix_configs[weight_op_name] = fix_configs[self.param_weights.get_name()] 439 440 wx_xt_ops: Dict[str, List[Op]] = {}441 wx_xt_ops['input'] = [self.param_input]442 wx_xt_ops['input'].append(weights_op)443 444 attrs: Dict[str, Any] = {}445 attrs['transpose_a'] = False446 attrs['transpose_b'] = True447 448 wx_xt_name = op.get_name() + '_matmul'449 wx_xt_mmul = self.graph.create_op(wx_xt_name, 'matmul', attrs=attrs, input_ops=wx_xt_ops)450 fix_configs[wx_xt_name] = fix_configs[op.get_name()]451 452 if self.param_bias is not None:453 if self.param_bias.get_name() in self.fix_data:454 bias_data = self.fix_data[self.param_bias.get_name()]455 else:456 #bias_data = self.param_bias.get_attrs()['data']457 bias_data = self.param_bias.get_attr('data')458 bias_tensor = bias_data[begin[1]:end[1]]459 bias_op_name = self.param_bias.get_name()+'_split_'+str(num)460 bias_op = self.graph.create_op(name=bias_op_name, 461 kind=self.param_bias.get_type(), tensor=bias_tensor)462 fix_configs[bias_op_name] = fix_configs[self.param_bias.get_name()]463 464 add_ops: Dict[str, List[Op]] = {}465 add_ops['input'] = [wx_xt_mmul]466 add_ops['input'].append(bias_op)467 468 add_shape = wx_xt_mmul.get_output_tensor().dims469 add_tensor = np.zeros(add_shape, dtype=np.int64)470 471 add_name = op.get_name() + '_eltwise'472 #add_mmul = self.graph.create_op(add_name, 'eltwise', input_ops=add_ops, tensor=add_tensor)473 add_mmul = self.graph.create_op(add_name, 'add', input_ops=add_ops, tensor=add_tensor)474 fix_configs[add_name] = fix_configs[op.get_name()]475 476 for down_op in self.stridedslice_down_ops[op]:477 if self.param_bias is not None:478 down_op.replace_input_ops(op, add_mmul)479 else:480 down_op.replace_input_ops(op, wx_xt_mmul)481 self.graph.remove_op(op)482 num = num + 1483 self.graph.remove_op(self.stridedslice_up_op)484 485class FixRebuilder():486 def __init__(self, configs):487 self.graph = configs['graph']488 self.fix_op = configs['fix_op'] 489 self.fix_up_op = configs['fix_up_op']490 self.fix_down_ops = configs['fix_down_ops']491 492 def rebuild(self):493 for down_op in self.fix_down_ops:494 down_op.replace_input_ops(self.fix_op, self.fix_up_op)495 self.graph.remove_op(self.fix_op)...
test_rebuild.py
Source:test_rebuild.py
1from mock import patch, MagicMock, mock2from srv.modules.runners import rebuild3class TestRebuild():4 """5 """6 @patch('srv.modules.runners.rebuild.master_minion', autospec=True)7 @patch('salt.runner.Runner', autospec=True)8 @patch('salt.client.LocalClient', autospec=True)9 def test_minions(self, localclient, runner, mm):10 rebuild.__opts__ = {}11 local = localclient.return_value12 local.cmd.return_value = {'data1.ceph': 'data1.ceph'}13 rr = rebuild.Rebuild(['data1.ceph'])14 assert rr.minions == ['data1.ceph']15 @patch('srv.modules.runners.rebuild.master_minion', autospec=True)16 @patch('salt.runner.Runner', autospec=True)17 @patch('salt.client.LocalClient', autospec=True)18 def test_minions_targets(self, localclient, runner, mm):19 rebuild.__opts__ = {}20 local = localclient.return_value21 local.cmd.return_value = {'data1.ceph': 'data1.ceph',22 'data2.ceph':'data2.ceph'}23 rr = rebuild.Rebuild(['I@roles:storage'])24 assert rr.minions == ['data1.ceph', 'data2.ceph']25 @patch('srv.modules.runners.rebuild.master_minion', autospec=True)26 @patch('salt.runner.Runner', autospec=True)27 @patch('salt.client.LocalClient', autospec=True)28 def test_minions_multiple(self, localclient, runner, mm):29 rebuild.__opts__ = {}30 local = localclient.return_value31 local.cmd.return_value = {'data1.ceph': 'data1.ceph',32 'data2.ceph':'data2.ceph'}33 rr = rebuild.Rebuild(['data*.ceph', 'data*.ceph'])34 assert rr.minions == ['data1.ceph', 'data2.ceph']35 @patch('srv.modules.runners.rebuild.master_minion', autospec=True)36 @patch('salt.runner.Runner', autospec=True)37 @patch('salt.client.LocalClient', autospec=True)38 def test_osd_list(self, localclient, runner, mm):39 rebuild.__opts__ = {}40 local = localclient.return_value41 local.cmd.return_value = {'data1.ceph': [0, 1, 2]}42 rr = rebuild.Rebuild(['data*.ceph'])43 result = rr._osd_list('data1.ceph')44 assert result == [0, 1, 2]45 @patch('srv.modules.runners.rebuild.master_minion', autospec=True)46 @patch('salt.runner.Runner', autospec=True)47 @patch('salt.client.LocalClient', autospec=True)48 def test_osd_list_no_match(self, localclient, runner, mm):49 rebuild.__opts__ = {}50 local = localclient.return_value51 local.cmd.return_value = {'data1.ceph': [0, 1, 2]}52 rr = rebuild.Rebuild(['data*.ceph'])53 result = rr._osd_list('data2.ceph')54 assert result == None55 @patch('srv.modules.runners.rebuild.master_minion', autospec=True)56 @patch('salt.runner.Runner', autospec=True)57 @patch('salt.client.LocalClient', autospec=True)58 def test_validate_osd_df(self, localclient, runner, mm):59 rebuild.__opts__ = {}60 local = localclient.return_value61 local.cmd.return_value = {}62 mm.return_value = 'admin'63 rr = rebuild.Rebuild(['data*.ceph'])64 osd_df = {'admin': {'nodes': '', 'summary':{'total_kb_avail': '0'}}}65 result = rr._validate_osd_df(osd_df)66 assert result == True67 @patch('srv.modules.runners.rebuild.master_minion', autospec=True)68 @patch('salt.runner.Runner', autospec=True)69 @patch('salt.client.LocalClient', autospec=True)70 def test_validate_osd_df_missing_mm(self, localclient, runner, mm):71 rebuild.__opts__ = {}72 local = localclient.return_value73 local.cmd.return_value = {}74 mm.return_value = 'admin'75 rr = rebuild.Rebuild(['data*.ceph'])76 osd_df = {'': {'nodes': '', 'summary':{'total_kb_avail': '0'}}}77 result = rr._validate_osd_df(osd_df)78 assert result == False79 @patch('srv.modules.runners.rebuild.master_minion', autospec=True)80 @patch('salt.runner.Runner', autospec=True)81 @patch('salt.client.LocalClient', autospec=True)82 def test_validate_osd_df_missing_nodes(self, localclient, runner, mm):83 rebuild.__opts__ = {}84 local = localclient.return_value85 local.cmd.return_value = {}86 mm.return_value = 'admin'87 rr = rebuild.Rebuild(['data*.ceph'])88 osd_df = {'admin': {'': '', 'summary':{'total_kb_avail': '0'}}}89 result = rr._validate_osd_df(osd_df)90 assert result == False91 @patch('srv.modules.runners.rebuild.master_minion', autospec=True)92 @patch('salt.runner.Runner', autospec=True)93 @patch('salt.client.LocalClient', autospec=True)94 def test_validate_osd_df_missing_summary(self, localclient, runner, mm):95 rebuild.__opts__ = {}96 local = localclient.return_value97 local.cmd.return_value = {}98 mm.return_value = 'admin'99 rr = rebuild.Rebuild(['data*.ceph'])100 osd_df = {'admin': {'nodes': '', '':{'total_kb_avail': '0'}}}101 result = rr._validate_osd_df(osd_df)102 assert result == False103 @patch('srv.modules.runners.rebuild.master_minion', autospec=True)104 @patch('salt.runner.Runner', autospec=True)105 @patch('salt.client.LocalClient', autospec=True)106 def test_validate_osd_df_missing_total(self, localclient, runner, mm):107 rebuild.__opts__ = {}108 local = localclient.return_value109 local.cmd.return_value = {}110 mm.return_value = 'admin'111 rr = rebuild.Rebuild(['data*.ceph'])112 osd_df = {'admin': {'nodes': '', 'summary':{'': '0'}}}113 result = rr._validate_osd_df(osd_df)114 assert result == False115 @patch('srv.modules.runners.rebuild.master_minion', autospec=True)116 @patch('salt.runner.Runner', autospec=True)117 @patch('salt.client.LocalClient', autospec=True)118 def test_safe(self, localclient, runner, mm):119 rebuild.__opts__ = {}120 local = localclient.return_value121 local.cmd.return_value = {'admin': {'nodes': [122 {'id': 0, 'kb_used': 10},123 {'id': 1, 'kb_used': 10}124 ],125 'summary':{'total_kb_avail': 30}}}126 mm.return_value = 'admin'127 rr = rebuild.Rebuild(['data*.ceph'])128 result = rr.safe(['0', '1'])129 assert result == True130 @patch('srv.modules.runners.rebuild.master_minion', autospec=True)131 @patch('salt.runner.Runner', autospec=True)132 @patch('salt.client.LocalClient', autospec=True)133 def test_safe_fails(self, localclient, runner, mm):134 rebuild.__opts__ = {}135 local = localclient.return_value136 local.cmd.return_value = {'admin': {'nodes': [137 {'id': 0, 'kb_used': 10},138 {'id': 1, 'kb_used': 10}139 ],140 'summary':{'total_kb_avail': 10}}}141 mm.return_value = 'admin'142 rr = rebuild.Rebuild(['data*.ceph'])143 result = rr.safe(['0', '1'])144 assert result == False145 @patch('srv.modules.runners.rebuild.master_minion', autospec=True)146 @patch('salt.runner.Runner', autospec=True)147 @patch('salt.client.LocalClient', autospec=True)148 def test_safe_fails_validation(self, localclient, runner, mm):149 rebuild.__opts__ = {}150 local = localclient.return_value151 local.cmd.return_value = {'': {'nodes': [152 {'id': 0, 'kb_used': 10},153 {'id': 1, 'kb_used': 10}154 ],155 'summary':{'total_kb_avail': 10}}}156 mm.return_value = 'admin'157 rr = rebuild.Rebuild(['data*.ceph'])158 result = rr.safe(['0', '1'])159 assert result == False160 @patch('srv.modules.runners.rebuild.master_minion', autospec=True)161 @patch('salt.runner.Runner', autospec=True)162 @patch('salt.client.LocalClient', autospec=True)163 def test_check_failed(self, localclient, runner, mm):164 rebuild.__opts__ = {}165 rr = rebuild.Rebuild(['data*.ceph'])166 ret = {0: True, 1:True}167 result = rr._check_failed(ret, 'data1.ceph')168 assert result == False169 assert rr.skipped == []170 @patch('srv.modules.runners.rebuild.master_minion', autospec=True)171 @patch('salt.runner.Runner', autospec=True)172 @patch('salt.client.LocalClient', autospec=True)173 def test_check_failed_finds_failure(self, localclient, runner, mm):174 rebuild.__opts__ = {}175 rr = rebuild.Rebuild(['data*.ceph'])176 ret = {0: False, 1:True}177 result = rr._check_failed(ret, 'data1.ceph')178 assert result == True179 assert rr.skipped == ['data1.ceph']180 @patch('srv.modules.runners.rebuild.master_minion', autospec=True)181 @patch('salt.runner.Runner', autospec=True)182 @patch('salt.client.LocalClient', autospec=True)183 def test_check_failed_finds_error(self, localclient, runner, mm):184 rebuild.__opts__ = {}185 rr = rebuild.Rebuild(['data*.ceph'])186 ret = "An error message"187 result = rr._check_failed(ret, 'data1.ceph')188 assert result == True189 assert rr.skipped == ['data1.ceph']190 @patch('srv.modules.runners.rebuild.master_minion', autospec=True)191 @patch('salt.runner.Runner', autospec=True)192 @patch('salt.client.LocalClient', autospec=True)193 def test_run(self, localclient, runner, mm):194 rebuild.__opts__ = {}195 rr = rebuild.Rebuild(['data*.ceph'])196 rr._disengaged = mock.Mock()197 rr._disengaged.return_value = True198 rr.minions = ['data1.ceph']199 rr._osd_list = mock.Mock()200 rr._osd_list.return_value = [0, 1]201 rr.safe = mock.Mock()202 rr.safe.return_value = True203 rr._busy_wait = mock.Mock()204 rr.runner.cmd = mock.Mock()205 rr.runner.cmd.return_value = {}206 rr._check_failed = mock.Mock()207 rr._check_failed.return_value = False208 rr._skipped_summary = mock.Mock()209 result = rr.run()210 assert result == ""211 assert rr._osd_list.called212 assert rr.safe.called213 assert rr.runner.cmd.called214 assert rr._check_failed.called215 assert rr._skipped_summary.called216 @patch('srv.modules.runners.rebuild.master_minion', autospec=True)217 @patch('salt.runner.Runner', autospec=True)218 @patch('salt.client.LocalClient', autospec=True)219 def test_run_multiple(self, localclient, runner, mm):220 rebuild.__opts__ = {}221 rr = rebuild.Rebuild(['data*.ceph'])222 rr._disengaged = mock.Mock()223 rr._disengaged.return_value = True224 rr.minions = ['data1.ceph', 'data2.ceph']225 rr._osd_list = mock.Mock()226 rr._osd_list.return_value = [0, 1]227 rr.safe = mock.Mock()228 rr.safe.return_value = True229 rr._busy_wait = mock.Mock()230 rr.runner.cmd = mock.Mock()231 rr.runner.cmd.return_value = {}232 rr._check_failed = mock.Mock()233 rr._check_failed.return_value = False234 rr._skipped_summary = mock.Mock()235 result = rr.run()236 assert result == ""237 assert rr._osd_list.call_count == 2238 assert rr.safe.call_count == 2239 assert rr.runner.cmd.call_count == 4240 assert rr._check_failed.call_count == 2241 assert rr._skipped_summary.called242 @patch('srv.modules.runners.rebuild.master_minion', autospec=True)243 @patch('salt.runner.Runner', autospec=True)244 @patch('salt.client.LocalClient', autospec=True)245 def test_run_check_only(self, localclient, runner, mm):246 rebuild.__opts__ = {}247 rr = rebuild.Rebuild(['data*.ceph'])248 rr._disengaged = mock.Mock()249 rr._disengaged.return_value = True250 rr.minions = ['data1.ceph']251 rr._osd_list = mock.Mock()252 rr._osd_list.return_value = [0, 1]253 rr.safe = mock.Mock()254 rr.safe.return_value = True255 rr.runner.cmd = mock.Mock()256 rr.runner.cmd.return_value = {}257 rr._check_failed = mock.Mock()258 rr._check_failed.return_value = False259 rr._skipped_summary = mock.Mock()260 result = rr.run(checkonly=True)261 assert result == ""262 assert rr._osd_list.called263 assert rr.safe.called264 assert rr.runner.cmd.called is False265 assert rr._check_failed.called is False266 assert rr._skipped_summary.called267 @patch('srv.modules.runners.rebuild.master_minion', autospec=True)268 @patch('salt.runner.Runner', autospec=True)269 @patch('salt.client.LocalClient', autospec=True)270 def test_run_safety_engaged(self, localclient, runner, mm):271 rebuild.__opts__ = {}272 rr = rebuild.Rebuild(['data*.ceph'])273 rr._disengaged = mock.Mock()274 rr._disengaged.return_value = False275 rr.minions = ['data1.ceph']276 rr._osd_list = mock.Mock()277 rr._osd_list.return_value = [0, 1]278 rr.safe = mock.Mock()279 rr.safe.return_value = True280 rr.runner.cmd = mock.Mock()281 rr.runner.cmd.return_value = {}282 rr._check_failed = mock.Mock()283 rr._check_failed.return_value = False284 rr._skipped_summary = mock.Mock()285 result = rr.run()286 assert result == ""287 assert rr._osd_list.called is False288 assert rr.safe.called is False289 assert rr.runner.cmd.called is False290 assert rr._check_failed.called is False291 assert rr._skipped_summary.called is False292 @patch('srv.modules.runners.rebuild.master_minion', autospec=True)293 @patch('salt.runner.Runner', autospec=True)294 @patch('salt.client.LocalClient', autospec=True)295 def test_run_no_remove(self, localclient, runner, mm):296 rebuild.__opts__ = {}297 rr = rebuild.Rebuild(['data*.ceph'])298 rr._disengaged = mock.Mock()299 rr._disengaged.return_value = True300 rr.minions = ['data1.ceph']301 rr._osd_list = mock.Mock()302 rr._osd_list.return_value = []303 rr.safe = mock.Mock()304 rr.safe.return_value = True305 rr.runner.cmd = mock.Mock()306 rr.runner.cmd.return_value = {}307 rr._check_failed = mock.Mock()308 rr._check_failed.return_value = False309 rr._skipped_summary = mock.Mock()310 result = rr.run()311 assert result == ""312 assert rr._osd_list.called313 assert rr.safe.called is False314 assert rr.runner.cmd.called315 assert rr._check_failed.called is False316 assert rr._skipped_summary.called317 @patch('srv.modules.runners.rebuild.master_minion', autospec=True)318 @patch('salt.runner.Runner', autospec=True)319 @patch('salt.client.LocalClient', autospec=True)320 def test_run_not_safe(self, localclient, runner, mm):321 rebuild.__opts__ = {}322 rr = rebuild.Rebuild(['data*.ceph'])323 rr._disengaged = mock.Mock()324 rr._disengaged.return_value = True325 rr.minions = ['data1.ceph']326 rr._osd_list = mock.Mock()327 rr._osd_list.return_value = [0, 1]328 rr.safe = mock.Mock()329 rr.safe.return_value = False330 rr.runner.cmd = mock.Mock()331 rr.runner.cmd.return_value = {}332 rr._check_failed = mock.Mock()333 rr._check_failed.return_value = False334 rr._skipped_summary = mock.Mock()335 result = rr.run()336 assert result == ""337 assert rr._osd_list.called338 assert rr.safe.called339 assert rr.runner.cmd.called is False340 assert rr._check_failed.called is False341 assert rr._skipped_summary.called is False342 @patch('srv.modules.runners.rebuild.master_minion', autospec=True)343 @patch('salt.runner.Runner', autospec=True)344 @patch('salt.client.LocalClient', autospec=True)345 def test_run_remove_failed(self, localclient, runner, mm):346 rebuild.__opts__ = {}347 rr = rebuild.Rebuild(['data*.ceph'])348 rr._disengaged = mock.Mock()349 rr._disengaged.return_value = True350 rr.minions = ['data1.ceph']351 rr._osd_list = mock.Mock()352 rr._osd_list.return_value = [0, 1]353 rr.safe = mock.Mock()354 rr.safe.return_value = True355 rr._busy_wait = mock.Mock()356 rr.runner.cmd = mock.Mock()357 rr.runner.cmd.return_value = {}358 rr._check_failed = mock.Mock()359 rr._check_failed.return_value = True360 rr._skipped_summary = mock.Mock()361 result = rr.run()362 assert result == ""363 assert rr._osd_list.called364 assert rr.safe.called365 assert rr.runner.cmd.called366 assert rr._check_failed.called...
cell.py
Source:cell.py
...124 rebuild_ops = self.__get_rebuild_ops(op_type)125 if (op_type == 'relu') and (len(rebuild_ops) > 0): 126 rebuild_configs = {'graph':self.__graph, 'rebuild_ops':rebuild_ops}127 rebuilder = ReluRebuilder(**rebuild_configs)128 rebuilder.rebuild(self.__graph, self.__fix_configs)129 130 elif (op_type == 'fix') and (len(rebuild_ops) > 0):131 for fix_op in rebuild_ops:132 #input_ops = [op for op in self.__graph.get_op(fix_op).get_input_ops()]133 input_ops = [op for op in get_input_ops_list(self.__graph.get_op(fix_op))]134 #if self.__graph.get_op(op_input[fix_op][0]).get_type() == 'const':135 if input_ops[0].get_type() == 'const':136 self.__make_one_fix_data(input_ops[0].get_name(), fix_op)137 #self.__make_one_fix_data(op_input[fix_op][0], fix_op)138 139 rebuild_configs = {'graph':self.__graph, 'rebuild_ops':rebuild_ops}140 rebuilder = FixRebuilder(**rebuild_configs)141 rebuilder.rebuild(self.__graph, self.__fix_configs)142 #self._fuse_fix_config()143 144 elif (op_type == 'strided_slice') and (len(rebuild_ops) > 0):145 rebuild_configs = {'graph':self.__graph, 'rebuild_ops':rebuild_ops, 'fix_data':self.__const_fix_data}146 rebuilder = StridedSliceRebuilder(**rebuild_configs)147 rebuilder.rebuild(self.__graph, self.__fix_configs)148 149 elif (op_type in GLOBAL_VARIABLE.MATMUL_OPS) and (len(rebuild_ops) > 0):150 rebuild_configs = {'graph':self.__graph, 'rebuild_ops':rebuild_ops}151 rebuilder = MatmulRebuilder(**rebuild_configs)152 rebuilder.rebuild(self.__graph, self.__fix_configs)153 154 self.__remove_invalid_const_data()155 '''156 for op in self.__graph.get_ops():157 print(op.get_name())158 print(op.get_type())159 '''160 '''161 def __rebuild_graph(self):162 for op_type in GLOBAL_VARIABLE.REBUILD_OPS_TYPE:163 if op_type == 'fix':164 fix_op_input = self.__get_op_input(op_type)165 166 for fix_op in fix_op_input:167 self.__fix_configs[fix_op_input[fix_op]] = self.__graph.get_op(fix_op).get_attrs()168 if self.__graph.get_op(fix_op_input[fix_op]).get_type() == 'const':169 self.__make_one_fix_data(fix_op_input[fix_op], fix_op)170 fix_rebuild_config = self.__get_fix_rebuild_config(fix_op, fix_op_input)171 fix_rebuild_config['graph'] = self.__graph172 fix_rebuilder = FixRebuilder(fix_rebuild_config)173 fix_rebuilder.rebuild()174 if op_type == 'strided_slice':175 #stridedslice_op_input = self.__get_stridedslice_op_input__()176 stridedslice_op_input = self.__get_op_input(op_type)177 print(stridedslice_op_input)178 179 while len(stridedslice_op_input) > 0:180 any_dict_index = list(stridedslice_op_input.keys())[0]181 stridedslice_rebuild_config = self.__get_stridedslice_rebuild_config(any_dict_index, stridedslice_op_input)182 stridedslice_rebuild_config['graph'] = self.__graph183 stridedslice_rebuild_config['fix_data'] = self.__const_fix_data184 stridedslice_rebuilder = StridedSliceRebuilder(stridedslice_rebuild_config)185 stridedslice_rebuilder.rebuild(self.__fix_configs)186 self.__remove_invalid_const_data()187 for op in self.__graph.get_ops():188 print(op.get_name())189 print(op.get_type())190 ''' 191 def reset(self, configs, xir_graph=None):192 pass193 194 def compile(self):195 parser_configs = {'ordered_nodes':self.__ordered_nodes,196 'graph':self.__graph,197 'fix_configs':self.__fix_configs,198 'fix_data':self.__const_fix_data}199 xir_parser = XirParser(**parser_configs)...
rebuild.py
Source:rebuild.py
1#!/usr/bin/python32'''3 (C) Copyright 2018-2021 Intel Corporation.4 SPDX-License-Identifier: BSD-2-Clause-Patent5'''6from daos_core_base import DaosCoreBase7class DaosCoreTestRebuild(DaosCoreBase):8 # pylint: disable=too-many-ancestors9 """Run just the daos_test rebuild tests.10 :avocado: recursive11 """12 def test_rebuild_0to10(self):13 """Jira ID: DAOS-277014 Test Description:15 Run daos_test -r -s3 -u subtests=0-1016 Use cases:17 Core tests for daos_test rebuild18 :avocado: tags=all,pr,daily_regression19 :avocado: tags=hw,ib2,medium20 :avocado: tags=unittest21 :avocado: tags=daos_test,daos_core_test_rebuild,test_rebuild_0to1022 """23 self.run_subtest()24 def test_rebuild_12to15(self):25 """Jira ID: DAOS-277026 Test Description:27 Run daos_test -r -s3 -u subtests=12-1528 Use cases:29 Core tests for daos_test rebuild30 :avocado: tags=all,pr,daily_regression31 :avocado: tags=hw,ib2,medium32 :avocado: tags=unittest33 :avocado: tags=daos_test,daos_core_test_rebuild,test_rebuild_12to1534 """35 self.run_subtest()36 def test_rebuild_16(self):37 """Jira ID: DAOS-277038 Test Description:39 Run daos_test -r -s3 -u subtests=1640 Use cases:41 Core tests for daos_test rebuild42 :avocado: tags=all,pr,daily_regression43 :avocado: tags=hw,ib2,medium44 :avocado: tags=unittest45 :avocado: tags=daos_test,daos_core_test_rebuild,test_rebuild_1646 """47 self.run_subtest()48 def test_rebuild_17(self):49 """Jira ID: DAOS-277050 Test Description:51 Run daos_test -r -s3 -u subtests=1752 Use cases:53 Core tests for daos_test rebuild54 :avocado: tags=all,pr,daily_regression55 :avocado: tags=hw,ib2,medium56 :avocado: tags=unittest57 :avocado: tags=daos_test,daos_core_test_rebuild,test_rebuild_1758 """59 self.run_subtest()60 def test_rebuild_18(self):61 """Jira ID: DAOS-277062 Test Description:63 Run daos_test -r -s3 -u subtests=1864 Use cases:65 Core tests for daos_test rebuild66 :avocado: tags=all,pr,daily_regression67 :avocado: tags=hw,ib2,medium68 :avocado: tags=unittest69 :avocado: tags=daos_test,daos_core_test_rebuild,test_rebuild_1870 """71 self.run_subtest()72 def test_rebuild_19(self):73 """Jira ID: DAOS-277074 Test Description:75 Run daos_test -r -s3 -u subtests=1976 Use cases:77 Core tests for daos_test rebuild78 :avocado: tags=all,pr,daily_regression79 :avocado: tags=hw,ib2,medium80 :avocado: tags=unittest81 :avocado: tags=daos_test,daos_core_test_rebuild,test_rebuild_1982 """83 self.run_subtest()84 def test_rebuild_20(self):85 """Jira ID: DAOS-277086 Test Description:87 Run daos_test -r -s3 -u subtests=2088 Use cases:89 Core tests for daos_test rebuild90 :avocado: tags=all,pr,daily_regression91 :avocado: tags=hw,ib2,medium92 :avocado: tags=unittest93 :avocado: tags=daos_test,daos_core_test_rebuild,test_rebuild_2094 """95 self.run_subtest()96 def test_rebuild_21(self):97 """Jira ID: DAOS-277098 Test Description:99 Run daos_test -r -s3 -u subtests=21100 Use cases:101 Core tests for daos_test rebuild102 :avocado: tags=all,pr,daily_regression103 :avocado: tags=hw,ib2,medium104 :avocado: tags=unittest105 :avocado: tags=daos_test,daos_core_test_rebuild,test_rebuild_21106 """107 self.run_subtest()108 def test_rebuild_22(self):109 """Jira ID: DAOS-2770110 Test Description:111 Run daos_test -r -s3 -u subtests=22112 Use cases:113 Core tests for daos_test rebuild114 :avocado: tags=all,pr,daily_regression115 :avocado: tags=hw,ib2,medium116 :avocado: tags=unittest117 :avocado: tags=daos_test,daos_core_test_rebuild,test_rebuild_22118 """119 self.run_subtest()120 def test_rebuild_23(self):121 """Jira ID: DAOS-2770122 Test Description:123 Run daos_test -r -s3 -u subtests=23124 Use cases:125 Core tests for daos_test rebuild126 :avocado: tags=all,pr,daily_regression127 :avocado: tags=hw,ib2,medium128 :avocado: tags=unittest129 :avocado: tags=daos_test,daos_core_test_rebuild,test_rebuild_23130 """131 self.run_subtest()132 def test_rebuild_24(self):133 """Jira ID: DAOS-2770134 Test Description:135 Run daos_test -r -s3 -u subtests=24136 Use cases:137 Core tests for daos_test rebuild138 :avocado: tags=all,pr,daily_regression139 :avocado: tags=hw,ib2,medium140 :avocado: tags=unittest141 :avocado: tags=daos_test,daos_core_test_rebuild,test_rebuild_24142 """143 self.run_subtest()144 def test_rebuild_25(self):145 """Jira ID: DAOS-2770146 Test Description:147 Run daos_test -r -s3 -u subtests=25148 Use cases:149 Core tests for daos_test rebuild150 :avocado: tags=all,pr,daily_regression151 :avocado: tags=hw,ib2,medium152 :avocado: tags=unittest153 :avocado: tags=daos_test,daos_core_test_rebuild,test_rebuild_25154 """155 self.run_subtest()156 def test_rebuild_26(self):157 """Jira ID: DAOS-2770158 Test Description:159 Run daos_test -r -s3 -u subtests=26160 Use cases:161 Core tests for daos_test rebuild162 :avocado: tags=all,pr,daily_regression163 :avocado: tags=hw,ib2,medium164 :avocado: tags=unittest165 :avocado: tags=daos_test,daos_core_test_rebuild,test_rebuild_26166 """167 self.run_subtest()168 def test_rebuild_27(self):169 """Jira ID: DAOS-2770170 Test Description:171 Run daos_test -r -s3 -u subtests=27172 Use cases:173 Core tests for daos_test rebuild174 :avocado: tags=all,pr,daily_regression175 :avocado: tags=hw,ib2,medium176 :avocado: tags=unittest177 :avocado: tags=daos_test,daos_core_test_rebuild,test_rebuild_27178 """179 self.run_subtest()180 def test_rebuild_28(self):181 """Jira ID: DAOS-2770182 Test Description:183 Run daos_test -r -s3 -u subtests=28184 Use cases:185 Core tests for daos_test rebuild186 :avocado: tags=all,pr,daily_regression187 :avocado: tags=hw,ib2,medium188 :avocado: tags=unittest189 :avocado: tags=daos_test,daos_core_test_rebuild,test_rebuild_28190 """...
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