Hi, i have no idea why i’m facing this error everything is right but i get this.
I would appreciate any help.
thanks
grader-required-cell
from tensorflow.keras import optimizers, losses
GRADED FUNCTION: train_happy_sad_model
def train_happy_sad_model(train_generator):
# Instantiate the callback
callbacks = myCallback()
### START CODE HERE
# Define the model
model = tf.keras.models.Sequential([
tf.keras.layers.Conv2D(16, (3,3), activation='relu',
input_shape=(300, 300, 3)),
tf.keras.layers.MaxPooling2D(2, 2),
tf.keras.layers.Conv2D(32, (3,3), activation='relu'),
tf.keras.layers.MaxPooling2D(2,2),
tf.keras.layers.Conv2D(64, (3,3), activation='relu'),
tf.keras.layers.MaxPooling2D(2,2),
tf.keras.layers.Flatten(),
tf.keras.layers.Dense(512, activation='relu'),
tf.keras.layers.Dense(1, activation='sigmoid')
])
# Compile the model
# Select a loss function compatible with the last layer of your network
model.compile(loss='binary_crossentropy',
optimizer=optimizers.RMSprop(lr=0.001),
metrics=['accuracy'])
# Train the model
# Your model should achieve the desired accuracy in less than 15 epochs.
# You can hardcode up to 20 epochs in the function below but the callback should trigger before 15.
history = model.fit(train_generator,
epochs=15,
callbacks=[callbacks]
)
### END CODE HERE
return history
=====================================================
Epoch 1/15
InvalidArgumentError Traceback (most recent call last)
in
1 # grader-required-cell
2
----> 3 hist = train_happy_sad_model(gen)
in train_happy_sad_model(train_generator)
34 # Your model should achieve the desired accuracy in less than 15 epochs.
35 # You can hardcode up to 20 epochs in the function below but the callback should trigger before 15.
—> 36 history = model.fit(train_generator,
37 epochs=15,
38 callbacks=[callbacks]
/opt/conda/lib/python3.8/site-packages/keras/utils/traceback_utils.py in error_handler(*args, **kwargs)
65 except Exception as e: # pylint: disable=broad-except
66 filtered_tb = _process_traceback_frames(e.traceback)
—> 67 raise e.with_traceback(filtered_tb) from None
68 finally:
69 del filtered_tb
/opt/conda/lib/python3.8/site-packages/tensorflow/python/eager/execute.py in quick_execute(op_name, num_outputs, inputs, attrs, ctx, name)
56 try:
57 ctx.ensure_initialized()
—> 58 tensors = pywrap_tfe.TFE_Py_Execute(ctx._handle, device_name, op_name,
59 inputs, attrs, num_outputs)
60 except core._NotOkStatusException as e:
InvalidArgumentError: Input to reshape is a tensor with 184960 values, but the requested shape requires a multiple of 78400
[[node sequential_3/flatten_3/Reshape
(defined at /opt/conda/lib/python3.8/site-packages/keras/layers/core/flatten.py:96)
]] [Op:__inference_train_function_4357]
Errors may have originated from an input operation.
Input Source operations connected to node sequential_3/flatten_3/Reshape:
In[0] sequential_3/max_pooling2d_11/MaxPool (defined at /opt/conda/lib/python3.8/site-packages/keras/layers/pooling.py:357)
In[1] sequential_3/flatten_3/Const (defined at /opt/conda/lib/python3.8/site-packages/keras/layers/core/flatten.py:91)
Operation defined at: (most recent call last)
File “/opt/conda/lib/python3.8/runpy.py”, line 194, in _run_module_as_main
return _run_code(code, main_globals, None,File “/opt/conda/lib/python3.8/runpy.py”, line 87, in _run_code
exec(code, run_globals)File “/opt/conda/lib/python3.8/site-packages/ipykernel_launcher.py”, line 16, in
app.launch_new_instance()File “/opt/conda/lib/python3.8/site-packages/traitlets/config/application.py”, line 845, in launch_instance
app.start()File “/opt/conda/lib/python3.8/site-packages/ipykernel/kernelapp.py”, line 612, in start
self.io_loop.start()File “/opt/conda/lib/python3.8/site-packages/tornado/platform/asyncio.py”, line 199, in start
self.asyncio_loop.run_forever()File “/opt/conda/lib/python3.8/asyncio/base_events.py”, line 570, in run_forever
self._run_once()File “/opt/conda/lib/python3.8/asyncio/base_events.py”, line 1859, in _run_once
handle._run()File “/opt/conda/lib/python3.8/asyncio/events.py”, line 81, in _run
self._context.run(self._callback, *self._args)File “/opt/conda/lib/python3.8/site-packages/tornado/ioloop.py”, line 688, in
lambda f: self._run_callback(functools.partial(callback, future))File “/opt/conda/lib/python3.8/site-packages/tornado/ioloop.py”, line 741, in _run_callback
ret = callback()File “/opt/conda/lib/python3.8/site-packages/tornado/gen.py”, line 814, in inner
self.ctx_run(self.run)File “/opt/conda/lib/python3.8/site-packages/tornado/gen.py”, line 775, in run
yielded = self.gen.send(value)File “/opt/conda/lib/python3.8/site-packages/ipykernel/kernelbase.py”, line 358, in process_one
yield gen.maybe_future(dispatch(*args))File “/opt/conda/lib/python3.8/site-packages/tornado/gen.py”, line 234, in wrapper
yielded = ctx_run(next, result)File “/opt/conda/lib/python3.8/site-packages/ipykernel/kernelbase.py”, line 261, in dispatch_shell
yield gen.maybe_future(handler(stream, idents, msg))File “/opt/conda/lib/python3.8/site-packages/tornado/gen.py”, line 234, in wrapper
yielded = ctx_run(next, result)File “/opt/conda/lib/python3.8/site-packages/ipykernel/kernelbase.py”, line 536, in execute_request
self.do_execute(File “/opt/conda/lib/python3.8/site-packages/tornado/gen.py”, line 234, in wrapper
yielded = ctx_run(next, result)File “/opt/conda/lib/python3.8/site-packages/ipykernel/ipkernel.py”, line 302, in do_execute
res = shell.run_cell(code, store_history=store_history, silent=silent)File “/opt/conda/lib/python3.8/site-packages/ipykernel/zmqshell.py”, line 539, in run_cell
return super(ZMQInteractiveShell, self).run_cell(*args, **kwargs)File “/opt/conda/lib/python3.8/site-packages/IPython/core/interactiveshell.py”, line 2894, in run_cell
result = self._run_cell(File “/opt/conda/lib/python3.8/site-packages/IPython/core/interactiveshell.py”, line 2940, in _run_cell
return runner(coro)File “/opt/conda/lib/python3.8/site-packages/IPython/core/async_helpers.py”, line 68, in _pseudo_sync_runner
coro.send(None)File “/opt/conda/lib/python3.8/site-packages/IPython/core/interactiveshell.py”, line 3165, in run_cell_async
has_raised = await self.run_ast_nodes(code_ast.body, cell_name,File “/opt/conda/lib/python3.8/site-packages/IPython/core/interactiveshell.py”, line 3357, in run_ast_nodes
if (await self.run_code(code, result, async_=asy)):File “/opt/conda/lib/python3.8/site-packages/IPython/core/interactiveshell.py”, line 3437, in run_code
exec(code_obj, self.user_global_ns, self.user_ns)File “”, line 3, in
hist = train_happy_sad_model(gen)File “”, line 36, in train_happy_sad_model
history = model.fit(train_generator,File “/opt/conda/lib/python3.8/site-packages/keras/utils/traceback_utils.py”, line 64, in error_handler
return fn(*args, **kwargs)File “/opt/conda/lib/python3.8/site-packages/keras/engine/training.py”, line 1216, in fit
tmp_logs = self.train_function(iterator)File “/opt/conda/lib/python3.8/site-packages/keras/engine/training.py”, line 878, in train_function
return step_function(self, iterator)File “/opt/conda/lib/python3.8/site-packages/keras/engine/training.py”, line 867, in step_function
outputs = model.distribute_strategy.run(run_step, args=(data,))File “/opt/conda/lib/python3.8/site-packages/keras/engine/training.py”, line 860, in run_step
outputs = model.train_step(data)File “/opt/conda/lib/python3.8/site-packages/keras/engine/training.py”, line 808, in train_step
y_pred = self(x, training=True)File “/opt/conda/lib/python3.8/site-packages/keras/utils/traceback_utils.py”, line 64, in error_handler
return fn(*args, **kwargs)File “/opt/conda/lib/python3.8/site-packages/keras/engine/base_layer.py”, line 1083, in call
outputs = call_fn(inputs, *args, **kwargs)File “/opt/conda/lib/python3.8/site-packages/keras/utils/traceback_utils.py”, line 92, in error_handler
return fn(*args, **kwargs)File “/opt/conda/lib/python3.8/site-packages/keras/engine/sequential.py”, line 373, in call
return super(Sequential, self).call(inputs, training=training, mask=mask)File “/opt/conda/lib/python3.8/site-packages/keras/engine/functional.py”, line 451, in call
return self._run_internal_graph(File “/opt/conda/lib/python3.8/site-packages/keras/engine/functional.py”, line 589, in _run_internal_graph
outputs = node.layer(*args, **kwargs)File “/opt/conda/lib/python3.8/site-packages/keras/utils/traceback_utils.py”, line 64, in error_handler
return fn(*args, **kwargs)File “/opt/conda/lib/python3.8/site-packages/keras/engine/base_layer.py”, line 1083, in call
outputs = call_fn(inputs, *args, **kwargs)File “/opt/conda/lib/python3.8/site-packages/keras/utils/traceback_utils.py”, line 92, in error_handler
return fn(*args, **kwargs)File “/opt/conda/lib/python3.8/site-packages/keras/layers/core/flatten.py”, line 96, in call
return tf.reshape(inputs, flattened_shape)