Occur dimensions mismatch when I used "ssd_efficientnet_fpn" #3
Description
Hello, did I have something setting wrong? It seems there are feature maps size mismatch.
However, it would not occur when I set feature_extractor type to "ssd_efficientnet"
File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/platform/app.py", line 125, in run _sys.exit(main(argv)) File "object_detection/model_main.py", line 105, in main tf.estimator.train_and_evaluate(estimator, train_spec, eval_specs[0]) File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/estimator/training.py", line 471, in train_and_evaluate return executor.run() File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/estimator/training.py", line 610, in run return self.run_local() File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/estimator/training.py", line 711, in run_local saving_listeners=saving_listeners) File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/estimator/estimator.py", line 354, in train loss = self._train_model(input_fn, hooks, saving_listeners) File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/estimator/estimator.py", line 1207, in _train_model return self._train_model_default(input_fn, hooks, saving_listeners) File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/estimator/estimator.py", line 1237, in _train_model_default features, labels, model_fn_lib.ModeKeys.TRAIN, self.config) File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/estimator/estimator.py", line 1195, in _call_model_fn model_fn_results = self._model_fn(features=features, **kwargs) File "/home/wlching/github/tensorflow_models/research/object_detection/model_lib.py", line 302, in model_fn features[fields.InputDataFields.true_image_shape]) File "/home/wlching/github/tensorflow_models/research/object_detection/meta_architectures/ssd_meta_arch.py", line 560, in predict feature_maps = self._feature_extractor(preprocessed_inputs) File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/keras/engine/base_layer.py", line 757, in __call__ outputs = self.call(inputs, *args, **kwargs) File "/home/wlching/github/tensorflow_models/research/object_detection/meta_architectures/ssd_meta_arch.py", line 237, in call return self._extract_features(inputs) File "/home/wlching/github/tensorflow_models/research/object_detection/models/efficientnet_feature_extractor.py", line 167, in _extract_features fpn_features = self._feature_map_generator(fpn_input_image_features) File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/keras/engine/base_layer.py", line 757, in __call__ outputs = self.call(inputs, *args, **kwargs) File "/home/wlching/github/tensorflow_models/research/object_detection/models/feature_map_generators.py", line 641, in call top_down += residual File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/math_ops.py", line 866, in binary_op_wrapper return func(x, y, name=name) File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/gen_math_ops.py", line 301, in add "Add", x=x, y=y, name=name) File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/op_def_library.py", line 787, in _apply_op_helper op_def=op_def) File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/util/deprecation.py", line 488, in new_func return func(*args, **kwargs) File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/ops.py", line 3274, in create_op op_def=op_def) File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/ops.py", line 1792, in __init__ control_input_ops) File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/ops.py", line 1631, in _create_c_op raise ValueError(str(e)) ValueError: Dimensions must be equal, but are 20 and 19 for 'FeatureMaps/top_down/add' (op: 'Add') with input shapes: [16,20,20,256], [16,19,19,256].
In addition, these two line without "=" ?