U-net 2D

[rahmasaadimustaf]

I have got an error during call back model

`/usr/local/lib/python3.7/dist-packages/keras/preprocessing/image.py:991: UserWarning: Found 5 invalid image filename(s) in x_col="image_path". These filename(s) will be ignored. n_invalid, x_col)) Found 2505 validated image filenames. Found 2510 validated image filenames. Epoch 1/150 78/78 [============================>.] - ETA: 37s - loss: 0.1237 - accuracy: 0.9784 - iou: 0.0110 - dice_coef: 0.0217 - precision: 0.0188

InvalidArgumentError Traceback (most recent call last)

in 4 callbacks = callbacks, 5 validation_data = test_gen, ----> 6 validation_steps= len(df_val)/ BATCH_SIZE) 1 frames /usr/local/lib/python3.7/dist-packages/tensorflow/python/eager/execute.py in quick_execute(op_name, num_outputs, inputs, attrs, ctx, name) 53 ctx.ensure_initialized() 54 tensors = pywrap_tfe.TFE_Py_Execute(ctx._handle, device_name, op_name, ---> 55 inputs, attrs, num_outputs) 56 except core._NotOkStatusException as e: 57 if name is not None: InvalidArgumentError: Graph execution error: Detected at node 'binary_crossentropy/logistic_loss/mul' defined at (most recent call last): File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main "_main_", mod_spec) File "/usr/lib/python3.7/runpy.py", line 85, in _run_code exec(code, run_globals) File "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py", line 16, in app.launch_new_instance() File "/usr/local/lib/python3.7/dist-packages/traitlets/config/application.py", line 846, in launch_instance app.start() File "/usr/local/lib/python3.7/dist-packages/ipykernel/kernelapp.py", line 612, in start self.io_loop.start() File "/usr/local/lib/python3.7/dist-packages/tornado/platform/asyncio.py", line 132, in start self.asyncio_loop.run_forever() File "/usr/lib/python3.7/asyncio/base_events.py", line 541, in run_forever self._run_once() File "/usr/lib/python3.7/asyncio/base_events.py", line 1786, in _run_once handle._run() File "/usr/lib/python3.7/asyncio/events.py", line 88, in _run self._context.run(self._callback, *self._args) File "/usr/local/lib/python3.7/dist-packages/tornado/ioloop.py", line 758, in _run_callback ret = callback() File "/usr/local/lib/python3.7/dist-packages/tornado/stack_context.py", line 300, in null_wrapper return fn(*args, **kwargs) File "/usr/local/lib/python3.7/dist-packages/tornado/gen.py", line 1233, in inner self.run() File "/usr/local/lib/python3.7/dist-packages/tornado/gen.py", line 1147, in run yielded = self.gen.send(value) File "/usr/local/lib/python3.7/dist-packages/ipykernel/kernelbase.py", line 365, in process_one yield gen.maybe_future(dispatch(*args)) File "/usr/local/lib/python3.7/dist-packages/tornado/gen.py", line 326, in wrapper yielded = next(result) File "/usr/local/lib/python3.7/dist-packages/ipykernel/kernelbase.py", line 268, in dispatch_shell yield gen.maybe_future(handler(stream, idents, msg)) File "/usr/local/lib/python3.7/dist-packages/tornado/gen.py", line 326, in wrapper yielded = next(result) File "/usr/local/lib/python3.7/dist-packages/ipykernel/kernelbase.py", line 545, in execute_request user_expressions, allow_stdin, File "/usr/local/lib/python3.7/dist-packages/tornado/gen.py", line 326, in wrapper yielded = next(result) File "/usr/local/lib/python3.7/dist-packages/ipykernel/ipkernel.py", line 306, in do_execute res = shell.run_cell(code, store_history=store_history, silent=silent) File "/usr/local/lib/python3.7/dist-packages/ipykernel/zmqshell.py", line 536, in run_cell return super(ZMQInteractiveShell, self).run_cell(*args, **kwargs) File "/usr/local/lib/python3.7/dist-packages/IPython/core/interactiveshell.py", line 2855, in run_cell raw_cell, store_history, silent, shell_futures) File "/usr/local/lib/python3.7/dist-packages/IPython/core/interactiveshell.py", line 2881, in _run_cell return runner(coro) File "/usr/local/lib/python3.7/dist-packages/IPython/core/async_helpers.py", line 68, in _pseudo_sync_runner coro.send(None) File "/usr/local/lib/python3.7/dist-packages/IPython/core/interactiveshell.py", line 3058, in run_cell_async interactivity=interactivity, compiler=compiler, result=result) File "/usr/local/lib/python3.7/dist-packages/IPython/core/interactiveshell.py", line 3249, in run_ast_nodes if (await self.run_code(code, result, async_=asy)): File "/usr/local/lib/python3.7/dist-packages/IPython/core/interactiveshell.py", line 3326, in run_code exec(code_obj, self.user_global_ns, self.user_ns) File "", line 6, in validation_steps= len(df_val)/ BATCH_SIZE) File "/usr/local/lib/python3.7/dist-packages/keras/utils/traceback_utils.py", line 64, in error_handler return fn(*args, **kwargs) File "/usr/local/lib/python3.7/dist-packages/keras/engine/training.py", line 1409, in fit tmp_logs = self.train_function(iterator) File "/usr/local/lib/python3.7/dist-packages/keras/engine/training.py", line 1051, in train_function return step_function(self, iterator) File "/usr/local/lib/python3.7/dist-packages/keras/engine/training.py", line 1040, in step_function outputs = model.distribute_strategy.run(run_step, args=(data,)) File "/usr/local/lib/python3.7/dist-packages/keras/engine/training.py", line 1030, in run_step outputs = model.train_step(data) File "/usr/local/lib/python3.7/dist-packages/keras/engine/training.py", line 890, in train_step loss = self.compute_loss(x, y, y_pred, sample_weight) File "/usr/local/lib/python3.7/dist-packages/keras/engine/training.py", line 949, in compute_loss y, y_pred, sample_weight, regularization_losses=self.losses) File "/usr/local/lib/python3.7/dist-packages/keras/engine/compile_utils.py", line 201, in _call_ loss_value = loss_obj(y_t, y_p, sample_weight=sw) File "/usr/local/lib/python3.7/dist-packages/keras/losses.py", line 139, in _call_ losses = call_fn(y_true, y_pred) File "/usr/local/lib/python3.7/dist-packages/keras/losses.py", line 243, in call return ag_fn(y_true, y_pred, **self._fn_kwargs) File "/usr/local/lib/python3.7/dist-packages/keras/losses.py", line 1930, in binary_crossentropy backend.binary_crossentropy(y_true, y_pred, from_logits=from_logits), File "/usr/local/lib/python3.7/dist-packages/keras/backend.py", line 5283, in binary_crossentropy return tf.nn.sigmoid_cross_entropy_with_logits(labels=target, logits=output) Node: 'binary_crossentropy/logistic_loss/mul' Incompatible shapes: [14,256,256,1] vs. [9,256,256,1] [[{{node binary_crossentropy/logistic_loss/mul}}]] [Op:__inference_train_function_4413]`

[stale[bot]]

This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs.

[stale[bot]]

This issue has been automatically closed because it has not had recent activity.