Assign requires shapes of both tensors to match. lhs shape= [7,7,6,64] rhs shape= [7,7,3,64] [[node save/Assign_33 (defined at monodepth_main.py:192) ]]

WARNING:tensorflow:From /home/billy/Documents/DRDO/monodepth/monodepth_dataloader.py:31: string_input_producer (from tensorflow.python.training.input) is deprecated and will be removed in a future version. Instructions for updating: Queue-based input pipelines have been replaced bytf.data. Usetf.data.Dataset.from_tensor_slices(string_tensor).shuffle(tf.shape(input_tensor, out_type=tf.int64)[0]).repeat(num_epochs). Ifshuffle=False, omit the.shuffle(...). WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/python/training/input.py:278: input_producer (from tensorflow.python.training.input) is deprecated and will be removed in a future version. Instructions for updating: Queue-based input pipelines have been replaced bytf.data. Usetf.data.Dataset.from_tensor_slices(input_tensor).shuffle(tf.shape(input_tensor, out_type=tf.int64)[0]).repeat(num_epochs). Ifshuffle=False, omit the.shuffle(...). WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/python/training/input.py:190: limit_epochs (from tensorflow.python.training.input) is deprecated and will be removed in a future version. Instructions for updating: Queue-based input pipelines have been replaced bytf.data. Usetf.data.Dataset.from_tensors(tensor).repeat(num_epochs). WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/python/training/input.py:199: QueueRunner.__init__ (from tensorflow.python.training.queue_runner_impl) is deprecated and will be removed in a future version. Instructions for updating: To construct input pipelines, use thetf.datamodule. WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/python/training/input.py:199: add_queue_runner (from tensorflow.python.training.queue_runner_impl) is deprecated and will be removed in a future version. Instructions for updating: To construct input pipelines, use thetf.datamodule. WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/python/training/input.py:202: to_float (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version. Instructions for updating: Use tf.cast instead. WARNING:tensorflow:From /home/billy/Documents/DRDO/monodepth/monodepth_dataloader.py:32: TextLineReader.__init__ (from tensorflow.python.ops.io_ops) is deprecated and will be removed in a future version. Instructions for updating: Queue-based input pipelines have been replaced bytf.data. Usetf.data.TextLineDataset. WARNING:tensorflow:From /home/billy/Documents/DRDO/monodepth/monodepth_dataloader.py:17: py_func (from tensorflow.python.ops.script_ops) is deprecated and will be removed in a future version. Instructions for updating: tf.py_func is deprecated in TF V2. Instead, use tf.py_function, which takes a python function which manipulates tf eager tensors instead of numpy arrays. It's easy to convert a tf eager tensor to an ndarray (just call tensor.numpy()) but having access to eager tensors meanstf.py_function`s can use accelerators such as GPUs as well as being differentiable using a gradient tape.

WARNING:tensorflow:From /home/billy/Documents/DRDO/monodepth/monodepth_dataloader.py:101: substr_deprecated (from tensorflow.python.ops.string_ops) is deprecated and will be removed in a future version. Instructions for updating: Use tf.strings.substr instead of tf.substr. WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/python/ops/control_flow_ops.py:423: colocate_with (from tensorflow.python.framework.ops) is deprecated and will be removed in a future version. Instructions for updating: Colocations handled automatically by placer. WARNING:tensorflow:From monodepth_main.py:198: start_queue_runners (from tensorflow.python.training.queue_runner_impl) is deprecated and will be removed in a future version. Instructions for updating: To construct input pipelines, use the tf.data module. WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/python/training/saver.py:1266: checkpoint_exists (from tensorflow.python.training.checkpoint_management) is deprecated and will be removed in a future version. Instructions for updating: Use standard file APIs to check for files with this prefix. Traceback (most recent call last): File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/client/session.py", line 1334, in _do_call return fn(*args) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/client/session.py", line 1319, in _run_fn options, feed_dict, fetch_list, target_list, run_metadata) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/client/session.py", line 1407, in _call_tf_sessionrun run_metadata) tensorflow.python.framework.errors_impl.InvalidArgumentError: Assign requires shapes of both tensors to match. lhs shape= [7,7,6,64] rhs shape= [7,7,3,64] [[{{node save/Assign_33}}]]

During handling of the above exception, another exception occurred:

Traceback (most recent call last): File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/training/saver.py", line 1276, in restore {self.saver_def.filename_tensor_name: save_path}) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/client/session.py", line 929, in run run_metadata_ptr) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/client/session.py", line 1152, in _run feed_dict_tensor, options, run_metadata) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/client/session.py", line 1328, in _do_run run_metadata) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/client/session.py", line 1348, in _do_call raise type(e)(node_def, op, message) tensorflow.python.framework.errors_impl.InvalidArgumentError: Assign requires shapes of both tensors to match. lhs shape= [7,7,6,64] rhs shape= [7,7,3,64] [[node save/Assign_33 (defined at monodepth_main.py:192) ]]

Caused by op 'save/Assign_33', defined at: File "monodepth_main.py", line 252, in tf.app.run() File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/platform/app.py", line 125, in run _sys.exit(main(argv)) File "monodepth_main.py", line 249, in main test(params) File "monodepth_main.py", line 192, in test train_saver = tf.train.Saver() File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/training/saver.py", line 832, in init self.build() File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/training/saver.py", line 844, in build self._build(self._filename, build_save=True, build_restore=True) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/training/saver.py", line 881, in _build build_save=build_save, build_restore=build_restore) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/training/saver.py", line 513, in _build_internal restore_sequentially, reshape) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/training/saver.py", line 354, in _AddRestoreOps assign_ops.append(saveable.restore(saveable_tensors, shapes)) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/training/saving/saveable_object_util.py", line 73, in restore self.op.get_shape().is_fully_defined()) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/ops/state_ops.py", line 223, in assign validate_shape=validate_shape) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/ops/gen_state_ops.py", line 64, in assign use_locking=use_locking, name=name) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/op_def_library.py", line 788, in _apply_op_helper op_def=op_def) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/util/deprecation.py", line 507, in new_func return func(*args, **kwargs) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/ops.py", line 3300, in create_op op_def=op_def) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/ops.py", line 1801, in init self._traceback = tf_stack.extract_stack()

InvalidArgumentError (see above for traceback): Assign requires shapes of both tensors to match. lhs shape= [7,7,6,64] rhs shape= [7,7,3,64] [[node save/Assign_33 (defined at monodepth_main.py:192) ]]

During handling of the above exception, another exception occurred:

Traceback (most recent call last): File "monodepth_main.py", line 252, in tf.app.run() File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/platform/app.py", line 125, in run _sys.exit(main(argv)) File "monodepth_main.py", line 249, in main test(params) File "monodepth_main.py", line 205, in test train_saver.restore(sess, restore_path) File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/training/saver.py", line 1312, in restore err, "a mismatch between the current graph and the graph") tensorflow.python.framework.errors_impl.InvalidArgumentError: Restoring from checkpoint failed. This is most likely due to a mismatch between the current graph and the graph from the checkpoint. Please ensure that you have not altered the graph expected based on the checkpoint. Original error:

Assign requires shapes of both tensors to match. lhs shape= [7,7,6,64] rhs shape= [7,7,3,64] [[node save/Assign_33 (defined at monodepth_main.py:192) ]]

InvalidArgumentError (see above for traceback): Restoring from checkpoint failed. This is most likely due to a mismatch between the current graph and the graph from the checkpoint. Please ensure that you have not altered the graph expected based on the checkpoint. Original error:

Assign requires shapes of both tensors to match. lhs shape= [7,7,6,64] rhs shape= [7,7,3,64] [[node save/Assign_33 (defined at monodepth_main.py:192) ]]

mrharicot / monodepth

Assign requires shapes of both tensors to match. lhs shape= [7,7,6,64] rhs shape= [7,7,3,64] [[node save/Assign_33 (defined at monodepth_main.py:192) ]] #219