code stringlengths 3 6.57k |
|---|
autocast(self.mix_precision) |
extract_features(self, x) |
self.conv(self.features(x) |
infer_head(self, x, skip_pool=False) |
self._glob_feature_vector(x, self.pooling_type, reduce_dims=False) |
self.classifier(glob_features.view(x.shape[0], -1) |
_initialize_weights(self) |
self.modules() |
isinstance(m, nn.Conv2d) |
m.weight.data.normal_(0, math.sqrt(2. / n) |
m.bias.data.zero_() |
isinstance(m, nn.BatchNorm2d) |
m.weight.data.fill_(1) |
m.bias.data.zero_() |
isinstance(m, nn.Linear) |
m.weight.size(1) |
m.weight.data.normal_(0, 0.01) |
m.bias.data.zero_() |
forward(self, x, return_featuremaps=False, get_embeddings=False, gt_labels=None) |
self.input_IN(x) |
self.extract_features(x) |
no_nncf_head_context() |
self.infer_head(y, skip_pool=False) |
EvalModeSetter([self.output], m_type=(nn.BatchNorm1d, nn.BatchNorm2d) |
self.infer_head(x, skip_pool=True) |
self.is_classification() |
KeyError("Unsupported loss: {}".format(self.loss) |
tuple(out_data) |
init_pretrained_weights(model, key='', **kwargs) |
_get_torch_home() |
os.getenv(ENV_XDG_CACHE_HOME, DEFAULT_CACHE_DIR) |
_get_torch_home() |
os.path.join(torch_home, 'checkpoints') |
os.makedirs(model_dir) |
os.path.join(model_dir, filename) |
os.path.exists(cached_file) |
gdown.download(pretrained_urls[key], cached_file) |
load_pretrained_weights(model, cached_file, **kwargs) |
mobilenetv3_large_075(pretrained=False, **kwargs) |
MobileNetV3(cfgs, mode='large', width_mult =.75, **kwargs) |
init_pretrained_weights(net, key='mobilenetv3_large_075') |
mobilenetv3_large(pretrained=False, **kwargs) |
MobileNetV3(cfgs, mode='large', width_mult = 1., **kwargs) |
init_pretrained_weights(net, key='mobilenetv3_large') |
mobilenetv3_large_150(pretrained=False, **kwargs) |
MobileNetV3(cfgs, mode='large', width_mult = 1.5, **kwargs) |
NotImplementedError("The weights for this configuration are not available") |
mobilenetv3_large_125(pretrained=False, **kwargs) |
MobileNetV3(cfgs, mode='large', width_mult = 1.25, **kwargs) |
NotImplementedError("The weights for this configuration are not available") |
mobilenetv3_small(pretrained=False, **kwargs) |
MobileNetV3(cfgs, mode='small', width_mult = 1., **kwargs) |
init_pretrained_weights(net, key='mobilenetv3_small') |
all(config, cfg_dir) |
os.path.exists(cfg_dir) |
os.makedirs(cfg_dir) |
list() |
sorted(os.listdir(cfg_dir) |
cfg_list.append(config(os.path.join(cfg_dir, file) |
open("README.md", "r") |
fh.read() |
open("VERSION", "r") |
fversion.read() |
setuptools.find_packages() |
os.path.join(root_data_folder, 'raw_dat') |
os.path.join(root_data_folder, 'preprocessed_dat') |
os.path.join(preprocessed_data_folder, 'uq1000_gex_feature.csv') |
os.path.join(preprocessed_data_folder, 'xena_uq_mut_standarized.csv') |
os.path.join(preprocessed_data_folder, 'ccle_uq_mut_standarized.csv') |
os.path.join(raw_data_folder, 'mart_export.txt') |
os.path.join(preprocessed_data_folder, 'CosmicHGNC_list.tsv') |
os.path.join(raw_data_folder, 'Xena') |
os.path.join(xena_folder, 'gencode.v23.annotation.gene.probemap') |
os.path.join(xena_folder, 'tcga_RSEM_gene_tpm.gz') |
os.path.join(preprocessed_data_folder, 'xena_gex') |
os.path.join(xena_folder, 'mc3.v0.2.8.PUBLIC.nonsilentGene.xena.gz') |
os.path.join(preprocessed_data_folder, 'xena_mut') |
os.path.join(xena_folder, 'TCGA_phenotype_denseDataOnlyDownload.tsv.gz') |
os.path.join(raw_data_folder, 'CCLE') |
os.path.join(ccle_folder, 'CCLE_expression.csv') |
os.path.join(preprocessed_data_folder, 'ccle_gex') |
os.path.join(ccle_folder, 'CCLE_mutations.csv') |
os.path.join(preprocessed_data_folder, 'ccle_mut') |
os.path.join(ccle_folder, 'sample_info.csv') |
os.path.join(raw_data_folder, 'GDSC') |
os.path.join(gdsc_folder, 'GDSC1_fitted_dose_response_25Feb20.csv') |
os.path.join(gdsc_folder, 'GDSC2_fitted_dose_response_25Feb20.csv') |
os.path.join(gdsc_folder, 'sanger-dose-response.csv') |
os.path.join(gdsc_folder, 'gdsc_cell_line_annotation.csv') |
os.path.join(preprocessed_data_folder, 'gdsc_target') |
os.path.join(raw_data_folder, 'network') |
os.path.join(network_folder, 'STRING') |
os.path.join(string_network_folder, '9606.protein.links.v11.0.txt.gz') |
os.path.join(string_network_folder, '9606.protein.info.v11.0.txt.gz') |
os.path.join(string_network_folder, 'string_network_hgnc.txt') |
os.path.join(string_network_folder, 'string_propagation_kernel.file') |
EventDefinitionError(ValueError) |
EventMeta(ABCMeta, metaclass=ABCMeta) |
__new__(cls, name, bases, attrs, **kwargs) |
super() |
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