assertArgsEqual(self, spec_args, op_args) (defined in caffe2.python.layer_test_util.LayersTestCase) | caffe2.python.layer_test_util.LayersTestCase | |
assertBlobsEqual(self, spec_blobs, op_blobs) | caffe2.python.layer_test_util.LayersTestCase | |
assertNetContainOps(self, net, op_specs) | caffe2.python.layer_test_util.LayersTestCase | |
get_eval_net(self) (defined in caffe2.python.layer_test_util.LayersTestCase) | caffe2.python.layer_test_util.LayersTestCase | |
get_predict_net(self) (defined in caffe2.python.layer_test_util.LayersTestCase) | caffe2.python.layer_test_util.LayersTestCase | |
get_training_nets(self, add_constants=False) | caffe2.python.layer_test_util.LayersTestCase | |
model (defined in caffe2.python.layer_test_util.LayersTestCase) | caffe2.python.layer_test_util.LayersTestCase | |
new_record(self, schema_obj) (defined in caffe2.python.layer_test_util.LayersTestCase) | caffe2.python.layer_test_util.LayersTestCase | |
reset_model(self, input_feature_schema=None, trainer_extra_schema=None) (defined in caffe2.python.layer_test_util.LayersTestCase) | caffe2.python.layer_test_util.LayersTestCase | |
run_train_net(self) (defined in caffe2.python.layer_test_util.LayersTestCase) | caffe2.python.layer_test_util.LayersTestCase | |
run_train_net_forward_only(self, num_iter=1) (defined in caffe2.python.layer_test_util.LayersTestCase) | caffe2.python.layer_test_util.LayersTestCase | |
setUp(self) (defined in caffe2.python.layer_test_util.LayersTestCase) | caffe2.python.layer_test_util.LayersTestCase | |
setup_example(self) | caffe2.python.layer_test_util.LayersTestCase | |
setUpClass(cls) (defined in caffe2.python.test_util.TestCase) | caffe2.python.test_util.TestCase | |
tearDown(self) (defined in caffe2.python.test_util.TestCase) | caffe2.python.test_util.TestCase | |
ws (defined in caffe2.python.test_util.TestCase) | caffe2.python.test_util.TestCase | |