Error running the fit_generator method

[Sri-user]

Beautiful implementation of SSD. Thank you very much for that

I was trying to run the fit_generator in sdd300_training. I had resized all my images to 300,300

I get the below error

"Input to reshape is a tensor with 622592 values, but the requested shape requires a multiple of 46208 [[{{node conv4_3_norm_mbox_priorbox_reshape/Reshape}}]]"

I am using Tensorfow 1.14.0 and keras 2.0.4

Here is the complete error trace

""" InvalidArgumentError Traceback (most recent call last) ~\anaconda3\lib\site-packages\tensorflow\python\client\session.py in _do_call(self, fn, args) 1355 try: -> 1356 return fn(args) 1357 except errors.OpError as e:

~\anaconda3\lib\site-packages\tensorflow\python\client\session.py in _run_fn(feed_dict, fetch_list, target_list, options, run_metadata) 1340 return self._call_tf_sessionrun( -> 1341 options, feed_dict, fetch_list, target_list, run_metadata) 1342

~\anaconda3\lib\site-packages\tensorflow\python\client\session.py in _call_tf_sessionrun(self, options, feed_dict, fetch_list, target_list, run_metadata) 1428 self._session, options, feed_dict, fetch_list, target_list, -> 1429 run_metadata) 1430

InvalidArgumentError: Input to reshape is a tensor with 622592 values, but the requested shape requires a multiple of 46208 [[{{node conv4_3_norm_mbox_priorbox_reshape/Reshape}}]]

During handling of the above exception, another exception occurred:

InvalidArgumentError Traceback (most recent call last)

in 10 validation_data=val_generator, 11 validation_steps=ceil(val_dataset_size/batch_size), ---> 12 verbose=1) ~\anaconda3\lib\site-packages\keras\legacy\interfaces.py in wrapper(*args, **kwargs) 86 warnings.warn('Update your `' + object_name + 87 '` call to the Keras 2 API: ' + signature, stacklevel=2) ---> 88 return func(*args, **kwargs) 89 wrapper._legacy_support_signature = inspect.getargspec(func) 90 return wrapper ~\anaconda3\lib\site-packages\keras\engine\training.py in fit_generator(self, generator, steps_per_epoch, epochs, verbose, callbacks, validation_data, validation_steps, class_weight, max_q_size, workers, pickle_safe, initial_epoch) 1888 outs = self.train_on_batch(x, y, 1889 sample_weight=sample_weight, -> 1890 class_weight=class_weight) 1891 1892 if not isinstance(outs, list): ~\anaconda3\lib\site-packages\keras\engine\training.py in train_on_batch(self, x, y, sample_weight, class_weight) 1631 ins = x + y + sample_weights 1632 self._make_train_function() -> 1633 outputs = self.train_function(ins) 1634 if len(outputs) == 1: 1635 return outputs[0] ~\anaconda3\lib\site-packages\keras\backend\tensorflow_backend.py in __call__(self, inputs) 2227 session = get_session() 2228 updated = session.run(self.outputs + [self.updates_op], -> 2229 feed_dict=feed_dict) 2230 return updated[:len(self.outputs)] 2231 ~\anaconda3\lib\site-packages\tensorflow\python\client\session.py in run(self, fetches, feed_dict, options, run_metadata) 948 try: 949 result = self._run(None, fetches, feed_dict, options_ptr, --> 950 run_metadata_ptr) 951 if run_metadata: 952 proto_data = tf_session.TF_GetBuffer(run_metadata_ptr) ~\anaconda3\lib\site-packages\tensorflow\python\client\session.py in _run(self, handle, fetches, feed_dict, options, run_metadata) 1171 if final_fetches or final_targets or (handle and feed_dict_tensor): 1172 results = self._do_run(handle, final_targets, final_fetches, -> 1173 feed_dict_tensor, options, run_metadata) 1174 else: 1175 results = [] ~\anaconda3\lib\site-packages\tensorflow\python\client\session.py in _do_run(self, handle, target_list, fetch_list, feed_dict, options, run_metadata) 1348 if handle is None: 1349 return self._do_call(_run_fn, feeds, fetches, targets, options, -> 1350 run_metadata) 1351 else: 1352 return self._do_call(_prun_fn, handle, feeds, fetches) ~\anaconda3\lib\site-packages\tensorflow\python\client\session.py in _do_call(self, fn, *args) 1368 pass 1369 message = error_interpolation.interpolate(message, self._graph) -> 1370 raise type(e)(node_def, op, message) 1371 1372 def _extend_graph(self): InvalidArgumentError: Input to reshape is a tensor with 622592 values, but the requested shape requires a multiple of 46208 [[node conv4_3_norm_mbox_priorbox_reshape/Reshape (defined at C:\Users\srith\anaconda3\lib\site-packages\keras\backend\tensorflow_backend.py:1694) ]] Errors may have originated from an input operation. Input Source operations connected to node conv4_3_norm_mbox_priorbox_reshape/Reshape: conv4_3_norm_mbox_priorbox/Tile (defined at C:\Users\srith\anaconda3\lib\site-packages\keras\backend\tensorflow_backend.py:1872) Original stack trace for 'conv4_3_norm_mbox_priorbox_reshape/Reshape': File "C:\Users\srith\anaconda3\lib\runpy.py", line 193, in _run_module_as_main "__main__", mod_spec) File "C:\Users\srith\anaconda3\lib\runpy.py", line 85, in _run_code exec(code, run_globals) File "C:\Users\srith\anaconda3\lib\site-packages\ipykernel_launcher.py", line 16, in app.launch_new_instance() File "C:\Users\srith\anaconda3\lib\site-packages\traitlets\config\application.py", line 664, in launch_instance app.start() File "C:\Users\srith\anaconda3\lib\site-packages\ipykernel\kernelapp.py", line 583, in start self.io_loop.start() File "C:\Users\srith\anaconda3\lib\site-packages\tornado\platform\asyncio.py", line 153, in start self.asyncio_loop.run_forever() File "C:\Users\srith\anaconda3\lib\asyncio\base_events.py", line 538, in run_forever self._run_once() File "C:\Users\srith\anaconda3\lib\asyncio\base_events.py", line 1782, in _run_once handle._run() File "C:\Users\srith\anaconda3\lib\asyncio\events.py", line 88, in _run self._context.run(self._callback, *self._args) File "C:\Users\srith\anaconda3\lib\site-packages\tornado\ioloop.py", line 690, in lambda f: self._run_callback(functools.partial(callback, future)) File "C:\Users\srith\anaconda3\lib\site-packages\tornado\ioloop.py", line 743, in _run_callback ret = callback() File "C:\Users\srith\anaconda3\lib\site-packages\tornado\gen.py", line 787, in inner self.run() File "C:\Users\srith\anaconda3\lib\site-packages\tornado\gen.py", line 748, in run yielded = self.gen.send(value) File "C:\Users\srith\anaconda3\lib\site-packages\ipykernel\kernelbase.py", line 361, in process_one yield gen.maybe_future(dispatch(*args)) File "C:\Users\srith\anaconda3\lib\site-packages\tornado\gen.py", line 209, in wrapper yielded = next(result) File "C:\Users\srith\anaconda3\lib\site-packages\ipykernel\kernelbase.py", line 268, in dispatch_shell yield gen.maybe_future(handler(stream, idents, msg)) File "C:\Users\srith\anaconda3\lib\site-packages\tornado\gen.py", line 209, in wrapper yielded = next(result) File "C:\Users\srith\anaconda3\lib\site-packages\ipykernel\kernelbase.py", line 541, in execute_request user_expressions, allow_stdin, File "C:\Users\srith\anaconda3\lib\site-packages\tornado\gen.py", line 209, in wrapper yielded = next(result) File "C:\Users\srith\anaconda3\lib\site-packages\ipykernel\ipkernel.py", line 300, in do_execute res = shell.run_cell(code, store_history=store_history, silent=silent) File "C:\Users\srith\anaconda3\lib\site-packages\ipykernel\zmqshell.py", line 536, in run_cell return super(ZMQInteractiveShell, self).run_cell(*args, **kwargs) File "C:\Users\srith\anaconda3\lib\site-packages\IPython\core\interactiveshell.py", line 2858, in run_cell raw_cell, store_history, silent, shell_futures) File "C:\Users\srith\anaconda3\lib\site-packages\IPython\core\interactiveshell.py", line 2886, in _run_cell return runner(coro) File "C:\Users\srith\anaconda3\lib\site-packages\IPython\core\async_helpers.py", line 68, in _pseudo_sync_runner coro.send(None) File "C:\Users\srith\anaconda3\lib\site-packages\IPython\core\interactiveshell.py", line 3063, in run_cell_async interactivity=interactivity, compiler=compiler, result=result) File "C:\Users\srith\anaconda3\lib\site-packages\IPython\core\interactiveshell.py", line 3254, in run_ast_nodes if (await self.run_code(code, result, async_=asy)): File "C:\Users\srith\anaconda3\lib\site-packages\IPython\core\interactiveshell.py", line 3331, in run_code exec(code_obj, self.user_global_ns, self.user_ns) File "", line 18, in swap_channels=swap_channels) File "C:\Users\srith\SSD_Keras_GITHUB\keras_ssd300.py", line 358, in ssd_300 conv4_3_norm_mbox_priorbox_reshape = Reshape((-1, 8), name='conv4_3_norm_mbox_priorbox_reshape')(conv4_3_norm_mbox_priorbox) File "C:\Users\srith\anaconda3\lib\site-packages\keras\engine\topology.py", line 585, in __call__ output = self.call(inputs, **kwargs) File "C:\Users\srith\anaconda3\lib\site-packages\keras\layers\core.py", line 403, in call return K.reshape(inputs, (-1,) + target_shape) File "C:\Users\srith\anaconda3\lib\site-packages\keras\backend\tensorflow_backend.py", line 1694, in reshape return tf.reshape(x, shape) File "C:\Users\srith\anaconda3\lib\site-packages\tensorflow\python\ops\gen_array_ops.py", line 9093, in reshape "Reshape", tensor=tensor, shape=shape, name=name) File "C:\Users\srith\anaconda3\lib\site-packages\tensorflow\python\framework\op_def_library.py", line 788, in _apply_op_helper op_def=op_def) File "C:\Users\srith\anaconda3\lib\site-packages\tensorflow\python\util\deprecation.py", line 507, in new_func return func(*args, **kwargs) File "C:\Users\srith\anaconda3\lib\site-packages\tensorflow\python\framework\ops.py", line 3616, in create_op op_def=op_def) File "C:\Users\srith\anaconda3\lib\site-packages\tensorflow\python\framework\ops.py", line 2005, in __init__ self._traceback = tf_stack.extract_stack() """ If this is a simple problem, please guide me on to the path where i should look at. Any help would be much appreciated

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