How to use _distill method in Slash

Best Python code snippet using slash

polyshapes.py

Source:polyshapes.py

...47        return self.__class__(newverts)48 49    __add__ = __radd__ = translate50    51    def _distill(self):52 53        edges = []54        unique = set()55        56        for f in self.faces:57            for pair in zip(f , f[1:] + (f[0],)):58                unique.add( tuple(sorted(pair)) )59 60        for edge in unique:61            edges.append( Edge(self.vertices[edge[0]],self.vertices[edge[1]]) )62 63        return edges            64 65    def draw(self):66        # VPython wireframe view, native to stickworks.py67        for e in self.edges:68            e.draw()69            70 71class Amodule (Polyhedron) :72    pass73 74class Bmodule (Polyhedron) :75    pass76 77class Mite (Polyhedron) :78 79    def __init__(self,80                 verts  = dict(j = Vector(( 0,  1, 0)),81                               o = Vector(( 0,  0, 0)),82                               r = Vector(( 1,  0, 1)),83                               s = Vector(( 1,  0,-1)))):84                 85        # 4 vertices86        self.vertices = verts87 88        # 4 faces89        self.faces = (('j','o','r'),('j','r','s'),('j','s','o'),('o','r','s'))90 91        self.edges = self._distill()92        93class Smite (Polyhedron) :94    pass95 96class Coupler (Polyhedron) :97    98    def __init__(self,99                 verts  = dict(j = Vector(( 0,  1, 0)),100                               l = Vector(( 0, -1, 0)),101                               q = Vector((-1,  0, 1)),102                               r = Vector(( 1,  0, 1)),103                               s = Vector(( 1,  0,-1)),104                               t = Vector((-1,  0,-1)))):105 106        # 6 vertices107        self.vertices = verts108 109        # 8 faces110        self.faces = (('j','q','r'),('j','r','s'),('j','s','t'),('j','t','q'),111                      ('l','q','r'),('l','r','s'),('l','s','t'),('l','t','q'))112 113        self.edges = self._distill()114 115class Tetrahedron (Polyhedron) :116 117    def __init__(self,118                 verts  = dict(a = Vector((-1, -1, 1)),119                               b = Vector((-1,  1, -1)),120                               c = Vector((1, 1, 1)),121                               d = Vector((1, -1, -1)))):122        """123        Imagine a cube centered at the origin and with124        a positive octant vertex at (1,1,1).  Inscribe125        a regular tetrahedron as six face diagonals therein.126        """127        # 4 vertices128        self.vertices = verts129 130        # 4 faces131        self.faces = (('a','b','c'),('a','c','d'),132                      ('a','d','b'),('b','d','c'))133 134        self.edges = self._distill()135 136class Cube (Polyhedron):137 138    def __init__(self, verts = dict( a = Vector((-1, -1, 1)),139                                     b = Vector((-1,  1, -1)),140                                     c = Vector((1, 1, 1)),141                                     d = Vector((1, -1, -1)),142                                     e = Vector((1,  1, -1)),143                                     f = Vector((1, -1,  1)),144                                     g = Vector((-1, -1, -1)),145                                     h = Vector((-1, 1, 1)))):146 147        # 8 vertices148        self.vertices = verts149 150        # 6 faces151        self.faces = (('a','f','c','h'),('h','c','e','b'),152                      ('b','e','d','g'),('g','d','f','a'),153                      ('c','f','d','e'),('a','h','b','g'))154 155        self.edges = self._distill()156 157class Octahedron (Polyhedron):158 159    def __init__(self, verts = dict( i = Vector(( 0, 0, 1)),160                                     j = Vector(( 0, 1, 0)),161                                     k = Vector(( 0, 0,-1)),162                                     l = Vector(( 0,-1, 0)),163                                     m = Vector(( 1, 0, 0)),164                                     n = Vector((-1, 0, 0)))):165 166        # 6 vertices167        self.vertices = verts168 169        # 8 faces170        self.faces = (('i','l','m'),('i','m','j'),('i','j','n'),('i','n','l'),                      171                      ('k','l','m'),('k','m','j'),('k','j','n'),('k','n','l'))172 173        self.edges = self._distill()174                                     175class Dodecahedron (Polyhedron):176    pass177 178class Icosahedron (Polyhedron):179 180    def __init__(self, verts = dict(181            # 12 vertices at the corners of 3 mutually182            # orthogonal golden rectangles183            xya=Vector(( phi/2, 0.5, 0.0)), # phi rectangle in xy184            xyb=Vector(( phi/2,-0.5, 0.0)),185            xyc=Vector((-phi/2,-0.5, 0.0)),186            xyd=Vector((-phi/2, 0.5, 0.0)),187            #-----------------------------188            xza=Vector((-0.5, 0.0, phi/2)), # Phi rectangle in xz 189            xzb=Vector(( 0.5, 0.0, phi/2)),190            xzc=Vector(( 0.5, 0.0,-phi/2)),191            xzd=Vector((-0.5, 0.0,-phi/2)),192            #-----------------------------193            yza=Vector(( 0.0, phi/2, 0.5)), # Phi rectangle in yz 194            yzb=Vector(( 0.0, phi/2,-0.5)),195            yzc=Vector(( 0.0,-phi/2,-0.5)),196            yzd=Vector(( 0.0,-phi/2, 0.5)),197            )):198 199        # 12 vertices200        self.vertices = verts201 202        # 20 equiangular triangles203        self.faces = (204            ('xza','xzb','yzd'),205            ('yzd','xzb','xyb'),206            ('xyb','xzb','xya'),207            ('xya','yza','xzb'),208            ('xzb','yza','xza'),209 210            ('xzd','xzc','yzb'),211            ('yzb','xzd','xyd'),212            ('xyd','xzd','xyc'),213            ('xyc','xzd','yzc'),214            ('yzc','xzd','xzc'),215 216            ('xyd','yzb','yza'),217            ('yza','yzb','xya'),218            ('xya','yzb','xzc'),219            ('xzc','xya','xyb'),220            ('xyb','xzc','yzc'),221            ('yzc','xyb','yzd'),222            ('yzd','yzc','xyc'),223            ('xyc','yzd','xza'),224            ('xza','xyc','xyd'),225            ('xyd','xza','yza')226            )227           228 229        self.edges = self._distill()230        231        self.rectangles = (232            ('xya','xyb','xyc','xyd'),233            ('xza','xzb','xzc','xzd'),234            ('yza','yzb','yzc','yzd'))    235 236    def goldrects(self):237        Edge.color = green238        for r in self.rectangles:239            c0,c1,c2,c3 = [self.vertices[i] for i in r]240            Edge(c0,c1).draw()241            Edge(c1,c2).draw()242            Edge(c2,c3).draw()243            Edge(c3,c0).draw()...

runner.py

Source:runner.py

1# Copyright (c) Facebook, Inc. and its affiliates.2# This source code is licensed under the MIT license found in the3# LICENSE file in the root directory of this source tree.4import argparse5from copy import deepcopy6from dataclasses import dataclass7from cli import shared_args8from foundations.runner import Runner9import models.registry10from platforms.platform import get_platform11from training import train12from distill.desc import DistillDesc13import pruning.registry14from pruning.mask import Mask15from pruning.pruned_model import PrunedModel16@dataclass17class DistillRunner(Runner):18    replicate: int19    desc: DistillDesc20    verbose: bool = True21    evaluate_every_epoch: bool = True22    @staticmethod23    def description():24        return "Train a model with distillation."25    @staticmethod26    def add_args(parser: argparse.ArgumentParser) -> None:27        shared_args.JobArgs.add_args(parser)28        DistillDesc.add_args(parser, shared_args.maybe_get_default_hparams())29    @staticmethod30    def create_from_args(args: argparse.Namespace) -> 'DistillRunner':31        return DistillRunner(args.replicate, DistillDesc.create_from_args(args),32                              not args.quiet, not args.evaluate_only_at_end)33    def display_output_location(self):34        print(self.desc.run_path(self.replicate))35    def run(self):36        location = self.desc.run_path(self.replicate)37        if self.verbose and get_platform().is_primary_process:38            print('='*82 + f'\nTraining a Model with Knowledge Distillation (Replicate {self.replicate})\n' + '-'*82)39            print(self.desc.display)40            print(f'Output Location: {self.desc.run_path(self.replicate)}' + '\n' + '='*82 + '\n')41        if get_platform().is_primary_process: self.desc.save(location)42        # if get_platform().is_primary_process: self._establish_initial_weights()43        # get_platform().barrier()44        # Get the student model45        # student = models.registry.get(self.desc.model_hparams, outputs=self.desc.train_outputs)46        assert 'score-' in self.desc.model_hparams.model_name47        student = self._establish_initial_weights()48        # Get the teacher model49        teacher_model_hparams = deepcopy(self.desc.model_hparams)50        teacher_model_hparams.model_name = self.desc.distill_hparams.teacher_model_name51        teacher = models.registry.load_from_file(52            self.desc.distill_hparams.teacher_ckpt,53            teacher_model_hparams, self.desc.train_outputs54        )55        teacher_mask = Mask.load(self.desc.distill_hparams.teacher_mask)56        teacher = PrunedModel(teacher, teacher_mask)57        # Run training with knowledge distillation58        if models.registry.exists(location, self.desc.train_end_step, suffix='_distill'):59            student = models.registry.load(location,60                                           self.desc.train_end_step,61                                           self.desc.model_hparams,62                                           self.desc.train_outputs,63                                           suffix='_distill')64        else:65            train.distill_train(student, teacher, location,66                                self.desc.dataset_hparams,67                                self.desc.training_hparams,68                                self.desc.distill_hparams,69                                evaluate_every_epoch=self.evaluate_every_epoch,70                                suffix='_distill')71        # Use the distilled student model to do the pruning72        student.apply_score_to_weight()73        # TODO: tweak pruning hparams to match teacher's sparsity level74        pruning.registry.get(self.desc.pruning_hparams)(student).save(location, suffix='_distill')75        # Train a new student model in the standard manner with the above mask76        new_student_model_hparams = deepcopy(self.desc.model_hparams)77        new_student_model_hparams.model_name = new_student_model_hparams.model_name.replace('score-', '')78        new_student = models.registry.load(location,79                                           self.desc.train_start_step,80                                           new_student_model_hparams,81                                           self.desc.train_outputs,82                                           strict=False,83                                           suffix='_score')84        new_student_mask = Mask.load(location, suffix='_distill')85        new_student = PrunedModel(new_student, new_student_mask)86        # Run standard training for the new student87        train.standard_train(new_student, location,88                             self.desc.dataset_hparams,89                             self.desc.training_hparams,90                             start_step=self.desc.train_start_step,91                             verbose=self.verbose,92                             evaluate_every_epoch=self.evaluate_every_epoch,93                             suffix='_post_distill')94    def _establish_initial_weights(self):95        location = self.desc.run_path(self.replicate)96        if models.registry.exists(location, self.desc.start_step, suffix='_score'):97            new_model = models.registry.load(location,98                                             self.desc.train_start_step,99                                             self.desc.model_hparams,100                                             self.desc.train_outputs,101                                             suffix='_score')102        else:103            new_model = models.registry.get(self.desc.model_hparams,104                                            outputs=self.desc.train_outputs)105        if get_platform().is_primary_process:106            new_model.save(location, self.desc.train_start_step, suffix='_score')...

test_globals.py

Source:test_globals.py

...29        assert 'x' in dir(slash.g)30@pytest.fixture31def test_globals(is_method):32    returned = {}33    def _distill():34        returned['test_methodname'] = context.test_methodname35    if is_method:36        class test_something(slash.Test):37            def test_something(self):38                _distill()39    else:40        def test_something():41            _distill()42    run_tests_assert_success(test_something)43    return returned44@pytest.fixture(params=[True, False])45def is_method(request):...

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