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How to use test_passes method in autotest
Best Python code snippet using autotest_python
bom.py
Source:bom.py 
1#!/usr/bin/env python2# coding=utf-83"""4A highly optimized class for bill of materials consolidation and costing5"""6from __future__ import absolute_import7from pandas import DataFrame8from six import iteritems9import os10import sys11DOCKER = os.environ.get('DOCKER') in ('transform', 'ipython')12if DOCKER:13 sys.path.append('/var/vol/code')14__author__ = "Paul Morel"15__copyright__ = "© Copyright 2015, Tartan Solutions, Inc"16__credits__ = ["Paul Morel"]17__license__ = "Proprietary"18__maintainer__ = "Paul Morel"19__email__ = "paul.morel@tartansolutions.com"20class Node(object):21 """A BOM hierarchy node object"""22 def __init__(self, parent_obj, child_id, makeup_volume=1):23 """Initializes node object24 :param parent_obj: parent object25 :type parent_obj: object26 :param child_id: child node key27 :type child_id: str or unicode28 :param consolidation: consolidation type +, -, or ~29 :type consolidation: str or unicode30 :returns: None31 :rtype: None32 """33 self.id = child_id34 self.parents = []35 self.children = {}36 self.cost = None37 self.override_cost = None38 # Set the reference to an assembly39 if parent_obj is not None:40 parent_obj.add_child(self, makeup_volume)41 # Create a reference so each child know who uses it42 if parent_obj not in self.parents:43 self.parents.append(parent_obj)44 def __repr__(self):45 return "<(Node ID: {} ({})>".format(self.id, self.get_cost())46 def get_cost(self):47 if self.cost is None:48 # Need to calculate the cost49 self.calculate_cost()50 return self.cost51 def set_cost(self, value):52 self.cost = value53 def set_override_cost(self, value):54 self.override_cost = value55 def add_child(self, child_obj, makeup_volume):56 """Add a child to the node57 :param child_obj: node object to add58 :type child_obj: object59 :param h: hierarchy - main or name of alt hierarchy60 :type h: str or unicode61 :returns: None62 :rtype: None63 """64 # Add the child to this parent's list of children65 # Also handles a makeup volume change66 self.children[child_obj] = makeup_volume67 def remove_child(self, child_id):68 """Removes child from node69 :param child_id: child node key to remove70 :type child_id: str or unicode71 :returns: None72 :rtype: None73 """74 current_children = self.get_children()75 temp_children = {}76 for c in current_children:77 if c.id != child_id:78 temp_children[c] = current_children[c]79 # The new list should be missing the child.80 self.children = temp_children81 def get_parents(self):82 """Returns parent object of node83 :returns: Parent object84 :rtype: object85 """86 return self.parents87 def get_siblings(self, parent_id):88 """Finds siblings of the node89 :returns: list of siblings node objects including current node90 :rtype: list91 """92 for p in self.parents:93 if p.id == parent_id:94 return p.get_children()95 def get_children(self):96 """Returns list of children node objects97 :returns: list of child node objects98 :rtype: list99 """100 return self.children101 def is_child_of(self, parent_id):102 """Checks if the node is a child of the specified parent103 :param parent_id: parent node key104 :type parent_id: str or unicode105 :returns: True if node descends from the parent106 :rtype: bool107 """108 for p in self.parents:109 if p.id == parent_id:110 return True111 return False112 def is_parent_of(self, child_id):113 """Checks if the node is a parent of the specified child114 :param child_id: child node key115 :type child_id: str or unicode116 :returns: True if child descends from the node117 :rtype: bool118 """119 for c in self.get_children():120 if c.id == child_id:121 return True122 return False123 def calculate_cost(self):124 """Calculates the roll-up cost of this node based on125 the costs of sub-components126 :returns: None127 :rtype: None128 """129 if self.override_cost is None:130 # Ask all children for their costs and multiply by makeup volume131 # This will invoke a recursive request for costs down to the132 # lowest level component133 cost = 0134 for c in self.children:135 makeup_volume = self.children[c]136 if makeup_volume != 0:137 child_cost = c.get_cost()138 makeup_cost = child_cost * self.children[c]139 cost += makeup_cost140 self.cost = cost141 else:142 # An Override cost has been supplied143 # DO NOT calculate the cost, just use the override144 self.cost = self.override_cost145 def reset_cost(self):146 self.cost = None147class BOM(object):148 """BOM Hierarchy Class for fast BOM hierarchy operations"""149 def __init__(self, load_path=None):150 """Class init function sets up basic structure151 :param load_path: optional path to saved hierarchy load file to load initially152 :type load_path: str or unicode153 :returns: None154 :rtype: None155 """156 self.h_direct = {}157 self.h_children = {}158 self.clear()159 if load_path is not None:160 self.load(load_path)161 def add_node(self, parent_id, child_id, makeup_volume=1):162 """Adds a node to the main hierarchy163 :param parent_id: parent node key164 :type parent_id: str or unicode165 :param child_id: child node key166 :type child_id: str or unicode167 :param consolidation: consolidation type +, -, or ~168 :type consolidation: str or unicode169 :returns: None170 :rtype: None171 """172 try:173 parent_obj = self.get_node(parent_id)174 except:175 # Parent does not exist yet. Handle out of sequence data gracefully.176 root_parent = self.get_node('root')177 parent_obj = Node(root_parent, parent_id)178 self.h_direct[parent_id] = parent_obj179 if child_id in self.h_direct:180 # This already exists.181 node = self.h_direct[child_id]182 parent_obj.add_child(node, makeup_volume)183 else:184 # Doesn't exist. Simple add.185 node = Node(parent_obj, child_id, makeup_volume)186 self.h_direct[child_id] = node187 def delete_node(self, node_id):188 """Deletes the node and removes all aliases and properties189 :param node_id: node key190 :type node_id: str or unicode191 :returns: None192 :rtype: None193 """194 # Delete the node and index reference195 try:196 parents = self.get_parents(node_id)197 except:198 # Not present. No need to do anything199 pass200 else:201 # Remove from main hierarchy202 del self.h_direct[node_id]203 for p in parents:204 p.remove_child(node_id)205 def get_node(self, node_id):206 """Gets the node object207 :param node_id: node key208 :type node_id: str or unicode209 :returns: Node object210 :rtype: object211 """212 try:213 return self.h_direct[node_id]214 except:215 raise Exception('No node found with the name %s' % node_id)216 def reset_costs(self):217 """Resets all costs to uncalculated value218 :returns: None219 :rtype: None220 """221 for node_id in self.h_direct:222 self.h_direct[node_id].reset_cost()223 def set_cost(self, node_id, value):224 self.h_direct[node_id].set_cost(value)225 def set_override_cost(self, node_id, value):226 self.h_direct[node_id].set_override_cost(value)227 def get_all_costs(self):228 """Gets the cost of all nodes229 :returns: node cost230 :rtype: pandas.DataFrame231 """232 final = []233 for node_id in self.h_direct:234 temp = (node_id, self.h_direct[node_id].get_cost())235 final.append(temp)236 headers = ['node', 'cost']237 df = DataFrame(final, columns=headers)238 return df239 def get_parents(self, node_id):240 """Finds parent of node241 :param node_id: node key242 :type node_id: str or unicode243 :returns: node object of parent244 :rtype: object245 """246 return self.get_node(node_id).get_parents()247 def get_parent_ids(self, node_id):248 """Finds parent of node249 :param node_id: node key250 :type node_id: str or unicode251 :returns: node key of parent252 :rtype: str or unicode253 """254 try:255 parents = self.get_parents(node_id)256 return [p.id for p in parents]257 except:258 return None259 def get_siblings(self, node_id, parent_id):260 """Finds sibling nodes of specified node261 :param node_id: node key262 :type node_id: str or unicode263 :returns: node objects of all siblings including the current node264 :rtype: list265 """266 return self.get_node(node_id).get_siblings(parent_id)267 def get_sibling_ids(self, node_id, parent_id):268 """Finds sibling nodes of specified node269 :param node_id: node key270 :type node_id: str or unicode271 :returns: node keys of all siblings including the current node272 :rtype: list273 """274 objs = self.get_siblings(node_id, parent_id)275 return [o.id for o in objs]276 def get_children(self, node_id):277 """Finds children of node278 :param node_id: node key279 :type node_id: str or unicode280 :returns: list of children node objects281 :rtype: list282 """283 return self.get_node(node_id).get_children()284 def get_children_ids(self, node_id):285 """Finds children of node286 :param node_id: node key287 :type node_id: str or unicode288 :returns: list of children node keys289 :rtype: list290 """291 objs = self.get_children(node_id)292 return [o.id for o in objs]293 def is_child_of(self, node_id, parent_id):294 """Check if node is a child of the parent node295 :param node_id: child node key296 :type node_id: str or unicode297 :param parent_id: parent node key298 :type parent_id: str or unicode299 :returns: True if the child descends from the parent300 :rtype: bool301 """302 return self.get_node(node_id).is_child_of(parent_id)303 def is_parent_of(self, node_id, child_id):304 """Checks if node is a parent of the child node305 :param node_id: parent node key306 :type node_id: str or unicode307 :param child_id: child node key308 :type child_id: str or unicode309 :returns: True if the child descends from parent310 :rtype: bool311 """312 return self.get_node(node_id).is_parent_of(child_id)313 def _get_main_list_format(self, node_id):314 """Generates the parent child list recursively for saving315 :param node_id: current node to process316 :type node_id: str or unicode317 :returns: List of lists with parent child information318 :rtype: list319 """320 final = []321 children = self.get_children(node_id)322 for c in children:323 temp = [str(node_id), str(c.id), children[c]]324 final.append(temp)325 sub_children = self._get_main_list_format(c.id)326 if len(sub_children) > 0:327 final += sub_children328 return final329 def save(self, path):330 """Saves the hierarchy, alias, and property info in one file331 :param path: File path to save out put332 :type path: str or unicode333 :returns: None334 :rtype: None335 """336 self.save_hierarchy(path, 'root')337 def load(self, path):338 """Loads hierarchy, alias, and propeperty339 :param path: File path to load340 :type path: str or unicode341 :returns: None342 :rtype: None343 """344 self.load_hierarchy(path)345 def get_bom(self, top_node='root'):346 """Created dataframe of BOM makeup structure347 :param top_node:348 :type top_node: str or unicode349 :returns: Parent Child Dataframe350 :rtype: pandas.DataFrame351 """352 headers = ['parent', 'child', 'makeup_volume']353 pc_list = self._get_main_list_format(top_node)354 df = DataFrame(pc_list, columns=headers)355 return df356 def load_dataframe(self, df):357 """Loads a well formed dataframe into the hierarchy object358 Columns expected:359 - parent360 - child361 - makeup_volume362 :param df: The dataframe containing at least parent and child columns363 :type df: dataframe364 :returns: None365 :rtype: None366 """367 if df is not None:368 column_info = []369 for column_name, data_type in iteritems(df.dtypes):370 column_info.append(column_name)371 # Check to make sure all required columns are present372 if 'parent' not in column_info:373 raise Exception('Missing parent column. Found the following columns: {0}'.format(str(column_info)))374 if 'child' not in column_info:375 raise Exception('Missing child column. Found the following columns: {0}'.format(str(column_info)))376 if 'makeup_volume' not in column_info:377 raise Exception(378 'Missing makeup_volume column. Found the following columns: {0}'.format(str(column_info)))379 # order the df columns (hierarchy, parent, child, consolidation_type)380 # this enables using itertuples instead of iterrows381 df = df[['parent', 'child', 'makeup_volume']]382 # Iterate over the data and build the hierachy using the add method383 for r in df.itertuples():384 # Tuple is formed as (index, hierarchy, parent, child, consolidation type)385 self.add_node(r[1], r[2], r[3])386 def clear(self):387 self.clear_hierarchy()388 def clear_hierarchy(self):389 """Clears the main and alternate hierarchies390 :returns: None391 :rtype: None392 """393 self.h_direct = {}394 self.h_children = {}395 node = Node(None, 'root')396 self.h_direct['root'] = node397 def _get_preprocessed_main_format(self, node_id, left=0, volume_multiplier=1, indent=0):398 """Generates a highly optimized reporting format for export of main hierarchy399 :param node_id: current node key400 :type node_id: str or unicode401 :param left: current left counter402 :type left: int403 :param consolidation_list: list of consolidation multipliers as json string404 :type consolidation_list: str405 :returns: list of parent child records406 :rtype: list407 """408 final = []409 # If this recursed event doesn't have any records return the same value for left and right410 right = left411 children = self.get_children(node_id)412 for c in children:413 makeup_volume = children[c]414 effective_volume = makeup_volume * volume_multiplier415 # Get the child records recursively416 sub_right, sub_children = self._get_preprocessed_main_format(c.id, left + 1, effective_volume, indent + 1)417 # Now figure out the right side number based on how many elements are below418 right = sub_right + 1419 if len(sub_children) > 0:420 is_leaf = False421 else:422 is_leaf = True423 temp = [str(node_id), str(c.id), makeup_volume, effective_volume, is_leaf, left, right, indent]424 final.append(temp)425 if is_leaf is False:426 final += sub_children427 return (right, final)428 def get_frame(self, table, top_node='root'):429 """Generates a highly optimized reporting format for export430 :param path: Absolute path to export location431 :type path: str or unicode432 :param top_node: node key to start export at433 :type top_node: str or unicode434 :returns: None435 :rtype: None436 """437 headers = ['parent', 'child', 'makeup_volume', 'effective_makeup_volume', 'leaf', 'left', 'right', 'indent']438 right, pc_list = self._get_preprocessed_main_format(top_node)439 df = DataFrame(pc_list, columns=headers)440 return df441 def get_pretty_frame(self, table, top_node='root'):442 indent = ' '443 template = '{0}{1} x {2} ({3})'444 right, pc_list = self._get_preprocessed_main_format(top_node)445 final = []446 for p in pc_list:447 temp = []448 parent = p[0]449 child = p[1]450 makeup_volume = p[2]451 effective_makeup_volume = p[3]452 #leaf = p[4]453 #left = p[5]454 #right = p[6]455 indent_mult = p[7]456 indent_txt = indent * indent_mult457 txt = template.format(indent_txt, makeup_volume, child, effective_makeup_volume)458 temp.append(txt)459 temp.append(parent)460 temp.append(child)461 temp.append(makeup_volume)462 temp.append(effective_makeup_volume)463 final.append(temp)464 headers = ['friendly', 'parent', 'child', 'makeup_volume', 'effective_makeup_volume']465 df = DataFrame(final, columns=headers)466 return df467 def get_node_count(self):468 """Provides number of main hierarchy nodes469 :returns: Node count470 :rtype: int471 """472 return len(self.h_direct)473 def save_hierarchy(self, path, top_node):474 raise NotImplementedError()475 def load_hierarchy(self, path):476 raise NotImplementedError()477#478# if __name__ == '__main__':479# import timeit480#481# leaf_node_id = 'f1'482# parent_node_id = 'b1'483# test_passes = 1000484# fake_sets_to_generate = 10485#486# # This is declared globally for testing purposes. No reason for it otherwise.487# h = BOM()488#489# fake_data = [490# ['a', 'b', 3],491# ['a', 'c', 2],492# ['a', 'd', 1],493# ['b', 'e', 10],494# ['b', 'f', 2],495# ['c', 'f', 2],496# ['c', 'g', 2],497# ['a', 'f', 1]498# ]499#500# leaves = ('d', 'e', 'f', 'g')501#502# print "Generating {0} fake assemblies".format(fake_sets_to_generate)503# result = []504# part_cost = {}505#506# for fsg in xrange(fake_sets_to_generate):507# for fd in fake_data:508# parent = '{}{}'.format(fd[0], fsg)509# child = '{}{}'.format(fd[1], fsg)510# muv = fd[2]511#512# if fd[1] in leaves:513# part_cost[child] = 0.1 * fsg * fd[2]514#515# result.append((parent, child, muv))516#517# print "Generation Complete. Loading BOM Object..."518#519# # Create starting nodes for the CO dimensions520# #h.add_node('root', 51, '~')521# #h.add_node('root', 52, '~')522# #h.add_node('root', 53, '~')523#524# record_count = 0525# for r in result:526# h.add_node(r[0], r[1], r[2])527# record_count += 1528#529# print "Loading the BOM Object Complete. {0} Records Loaded.".format(record_count)530#531# print "Loading Leaf level costs..."532#533# # Create starting nodes for the CO dimensions534# #h.add_node('root', 51, '~')535# #h.add_node('root', 52, '~')536# #h.add_node('root', 53, '~')537#538# record_count = 0539# for pc in part_cost:540# h.set_cost(pc, part_cost[pc])541# record_count += 1542#543# print "Loading leaf level part cost complete. {0} base costs set.".format(record_count)544#545# print546# print547# print "Beginning Tests..."548#549# print "Leaf Node Used for Tests is {0}".format(leaf_node_id)550# print "Parent Node Used for Tests is {0}".format(parent_node_id)551# print "{0} Test passes used for timing.".format(test_passes)552#553# print "STARTING NODE COUNT is {0}".format(h.get_node_count())554#555# print "-----------"556# s = "h.get_node(leaf_node_id)"557#558# print s559# t = timeit.Timer(s, "from __main__ import h, leaf_node_id")560# print "%.2f usec/pass" % (test_passes * t.timeit(number=test_passes) / test_passes)561#562# print "-----------"563# s = "h.get_parents(leaf_node_id)"564#565# print s566# t = timeit.Timer(s, "from __main__ import h, leaf_node_id")567# print "%.2f usec/pass" % (test_passes * t.timeit(number=test_passes) / test_passes)568#569# print "-----------"570# s = "h.get_parent_ids(leaf_node_id)"571#572# print s573# t = timeit.Timer(s, "from __main__ import h, leaf_node_id")574# print "%.2f usec/pass" % (test_passes * t.timeit(number=test_passes) / test_passes)575#576# print "-----------"577# s = "h.get_siblings(leaf_node_id, parent_node_id)"578#579# print s580# t = timeit.Timer(s, "from __main__ import h, leaf_node_id, parent_node_id")581# print "%.2f usec/pass" % (test_passes * t.timeit(number=test_passes) / test_passes)582#583# print "-----------"584# s = "h.get_sibling_ids(leaf_node_id, parent_node_id)"585#586# print s587# t = timeit.Timer(s, "from __main__ import h, leaf_node_id, parent_node_id")588# print "%.2f usec/pass" % (test_passes * t.timeit(number=test_passes) / test_passes)589#590# print "-----------"591# s = "h.is_child_of(leaf_node_id, parent_node_id)"592#593# print s594# t = timeit.Timer(s, "from __main__ import h, leaf_node_id, parent_node_id")595# print "%.2f usec/pass" % (test_passes * t.timeit(number=test_passes) / test_passes)596#597# print "-----------"598# s = "h.is_parent_of(parent_node_id, leaf_node_id)"599#600# print s601# t = timeit.Timer(s, "from __main__ import h, leaf_node_id, parent_node_id")602# print "%.2f usec/pass" % (test_passes * t.timeit(number=test_passes) / test_passes)603#604# print "-----------"605# s = "h.get_children(parent_node_id)"606#607# print s608# t = timeit.Timer(s, "from __main__ import h, parent_node_id")609# print "%.2f usec/pass" % (test_passes * t.timeit(number=test_passes) / test_passes)610#611# print "-----------"612# s = "h.get_children_ids(parent_node_id)"613#614# print s615# t = timeit.Timer(s, "from __main__ import h, parent_node_id")616# print "%.2f usec/pass" % (test_passes * t.timeit(number=test_passes) / test_passes)617#618# print "-----------"619# print "MAXIMUM STRESS TEST - Get all Costs"620# s = "h.get_all_costs()"621#622# print s623# t = timeit.Timer(s, "from __main__ import h")624# print "%.2f usec/pass" % (test_passes * t.timeit(number=test_passes) / test_passes)625#626# print "-----------"627# print "MAXIMUM STRESS TEST - Get the complete BOM"628# s = "h.get_bom('root')"629#630# print s631# t = timeit.Timer(s, "from __main__ import h")...
test_passes.py
Source:test_passes.py
1# Copyright 2021 The BladeDISC Authors. All rights reserved.2# Licensed under the Apache License, Version 2.0 (the "License");3# you may not use this file except in compliance with the License.4# You may obtain a copy of the License at5# http://www.apache.org/licenses/LICENSE-2.06# Unless required by applicable law or agreed to in writing, software7# distributed under the License is distributed on an "AS IS" BASIS,8# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.9# See the License for the specific language governing permissions and10# limitations under the License.11import unittest12import torch13from torch.testing import FileCheck14from torch_blade import exporter15from torch_blade import pass_manager16from torch_blade import utils17from torch_blade.config import Config18from torch_blade.testing.common_utils import TestCase19class TestPasses(TestCase):20 def test_pass_freeze_rank(self):21 class Model(torch.nn.Module):22 def forward(self, inp):23 if inp.dim() == 0:24 return 025 elif inp.dim() == 1:26 return 127 elif inp.dim() == 2:28 return 229 elif inp.dim() == 3:30 return 331 else:32 return 433 dummy_input = torch.ones([64, 64])34 model = Model()35 graph = exporter.export(Model(), False, dummy_input).graph36 pass_manager._jit_pass_freeze_rank(graph)37 expect_gstr = """38 graph(%x.1 : Tensor):39 # CHECK-COUNT-EXACTLY-1: prim::Constant[value=2]40 %3 : int = prim::Constant[value=2]()41 return (%3)"""42 FileCheck().run(expect_gstr, graph)43 def test_reorder_raise_exception(self):44 @torch.jit.script45 def has_raise_exception(x):46 x_sum = x.sum()47 if x_sum < 0:48 raise Exception("sum < 0")49 x_numel = x.numel()50 if x_sum < 0:51 raise Exception("x_numel < 0")52 x_mean = x_sum / x.numel()53 if x_mean < 0:54 raise Exception("x_mean < 0")55 return x_mean56 graph = has_raise_exception.graph57 pass_manager._jit_pass_reorder_raise_exception(graph)58 last_3nodes = graph.node_list()[-3:]59 self.assertEqual(len(last_3nodes), 3)60 for node in last_3nodes:61 blks = [blk for blk in node.blocks()]62 self.assertGreater(len(blks), 0)63 blk0_nodes = blks[0].node_list()64 self.assertGreater(len(blk0_nodes), 0)65 n0_kind = blk0_nodes[0].kind()66 self.assertEqual(n0_kind, "prim::RaiseException")67 @unittest.skipIf(utils.torch_version_number() >= utils.parse_version("1.8.1"), 'failed')68 def test_pass_licm(self):69 class Model(torch.nn.Module):70 def __init__(self, hidden_size):71 super().__init__()72 self.hidden_size = hidden_size73 self.hidden = torch.nn.Linear(self.hidden_size, self.hidden_size)74 def forward(self, x):75 y = x76 for i in range(x.size(0)):77 y = self.hidden(x)78 return y79 hidden_size = 25680 model = Model(hidden_size)81 x = torch.randn(1, 10, hidden_size)82 module = exporter.export(model, False, x)83 pass_manager._jit_pass_freeze_rank(module.graph)84 expected_y = module.forward(x)85 pass_manager._jit_pass_licm(module.graph)86 y = module.forward(x)87 self.assertEqual(y, expected_y)88 # Check matmul op is before Loop after licm pass89 expect_gstr = """90graph(%self : __torch__.___torch_mangle_0.Model,91 %x.1 : Float(1:2560, 10:256, 256:1)):92 %8 : bool = prim::Constant[value=1]() # tests/test_passes.py:107:1693 %4 : int = prim::Constant[value=0]() # tests/test_passes.py:107:3894 %5 : int = aten::size(%x.1, %4) # tests/test_passes.py:107:3195 %62 : __torch__.torch.nn.modules.linear.Linear = prim::GetAttr[name="hidden"](%self)96 %63 : int = prim::Constant[value=1]()97 %64 : Float(256:256, 256:1) = prim::GetAttr[name="weight"](%62)98 %65 : Float(256:1) = prim::GetAttr[name="bias"](%62)99 %66 : Float(256:1, 256:256) = aten::t(%64)100 # CHECK: aten::matmul101 %output.1 : Float(1:2560, 10:256, 256:1) = aten::matmul(%x.1, %66)102 %output.3 : Float(1:2560, 10:256, 256:1) = aten::add(%output.1, %65, %63)103 # CHECK: prim::Loop104 %y : Float(1:2560, 10:256, 256:1) = prim::Loop(%5, %8, %x.1) # tests/test_passes.py:107:16105 block0(%i : int, %y.4 : Tensor):106 -> (%8, %output.3)107 return (%y)"""108 FileCheck().run(expect_gstr, str(module._c.forward.graph))109 def test_pass_licm_fail(self):110 class Model(torch.nn.Module):111 def forward(self, x):112 y = [0]113 for i in range(x.size(0)):114 z = y[0]115 y.append(z)116 return y117 model = Model()118 module = torch.jit.script(model).eval()119 x = torch.randn(10)120 expected_y = module.forward(x)121 pass_manager._jit_pass_licm(module.graph)122 y = module.forward(x)123 self.assertEqual(y, expected_y)124 # Check getitem op is will not be moved before Loop by licm pass125 expect_gstr = """126graph(%self : __torch__.___torch_mangle_4.Model,127 %x.1 : Tensor):128 %8 : bool = prim::Constant[value=1]() # tests/test_passes.py:101:16129 %2 : int = prim::Constant[value=0]() # tests/test_passes.py:100:21130 %y.1 : int[] = prim::ListConstruct(%2)131 %5 : int = aten::size(%x.1, %2) # tests/test_passes.py:101:31132 # CHECK: prim::Loop133 = prim::Loop(%5, %8) # tests/test_passes.py:101:16134 block0(%i : int):135 # CHECK: aten::__getitem__136 %z.1 : int = aten::__getitem__(%y.1, %2) # tests/test_passes.py:102:24137 %14 : int[] = aten::append(%y.1, %z.1) # tests/test_passes.py:103:20138 -> (%8)139 return (%y.1)"""140 FileCheck().run(expect_gstr, str(module._c.forward.graph))141 def test_hack_cpu_device(self):142 cfg = Config.get_current_context_or_new()143 cfg.enable_force_to_cuda = True144 @torch.jit.script145 def move_to_cpu(x):146 return x.to('cpu')147 with cfg:148 pass_manager._jit_pass_hack_cpu_device(move_to_cpu.graph)149 expect_gstr = """150graph(%x.1 : Tensor):151 %6 : bool = prim::Constant[value=0]()152 %5 : None = prim::Constant()153 # CHECK: prim::Constant[value="cuda"]()154 %18 : Device = prim::Constant[value="cuda"]()155 %8 : Tensor = aten::to(%x.1, %18, %5, %6, %6)156 return (%8)"""157 FileCheck().run(expect_gstr, move_to_cpu.graph)158 @torch.jit.script159 def zeros_cpu():160 return torch.zeros([1, 2], device=torch.device('cpu'))161 with cfg:162 pass_manager._jit_pass_hack_cpu_device(zeros_cpu.graph)163 expect_gstr = """164graph():165 %5 : None = prim::Constant()166 %0 : int = prim::Constant[value=1]()167 %1 : int = prim::Constant[value=2]()168 %2 : int[] = prim::ListConstruct(%0, %1)169 # CHECK: prim::Constant[value="cuda"]()170 %18 : Device = prim::Constant[value="cuda"]()171 %8 : Tensor = aten::zeros(%2, %5, %5, %18, %5)172 return (%8)"""173 FileCheck().run(expect_gstr, zeros_cpu.graph)174if __name__ == "__main__":...
test_package.py
Source:test_package.py
1# -*- coding: utf-8 -*-2"""3Created on Mon Jun 20 14:13:36 20224@author: seford5"""6#call_id_api_test7import os8import sys9import keyring10# getting the name of the director where the this file is present.11current = os.path.realpath(os.getcwd())12# Getting the parent directory name where the current directory is present.13parent = os.path.dirname(current)14# adding the parent directory to the sys.path.15if parent not in sys.path:16 sys.path.append(parent)17from src.viyapy.viya_utils import call_id_api, unpack_viya_outputs18username='seford'19#authentication token (get from Paige)20token=keyring.get_password('buds35_token',username)21host='eeclxvm067.exnet.sas.com'22password=keyring.get_password('buds35_pwd',username)23protocol='http'24#base URL for Viya25baseUrl = protocol + '://' + host + '/'26moduleID = 'api_tester1_0'27features = {'input_string': "this is a test"}28 29test_passes = True30test_details = []31try:32 response = call_id_api(baseUrl, token, features, moduleID)33except:34 test_passes = False35 test_details.append('call_id_api failed')36if test_passes:37 try:38 output_dict = unpack_viya_outputs(response['outputs'])39 except:40 test_passes = False41 test_details.append('unpack_viya_outputs failed')42if test_passes:43 if 'input_string' not in output_dict.keys():44 test_passes = False45 test_details.append('input string is not in the Viya return call')46 else:47 if output_dict['input_string'] != features['input_string']:48 test_passes = False49 test_details.append('input string is incorrect')50 51if test_passes:52 if 'output_string' not in output_dict.keys():53 test_passes = False54 test_details.append('output string is not in the Viya return call')55 else:56 if output_dict['output_string'] != "successfully ran decision flow":57 test_passes = False58 test_details.append('output_string is incorrect')59 60if test_passes:61 print('tests PASSED')62else:63 print('test FAILED')...
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