I have tried to use efficient net as shown below but before training model throws an error as mentioned after the code
from tensorflow.keras import layers
from tensorflow.keras.applications import EfficientNetB0
NUM_CLASSES = 5
IMG_SIZE = 224
size = (IMG_SIZE, IMG_SIZE)
inputs = layers.Input(shape=(IMG_SIZE, IMG_SIZE, 3))
# Using model without transfer learning
outputs = EfficientNetB0(include_top=True, weights=None, classes=NUM_CLASSES)(inputs)
model = tf.keras.Model(inputs, outputs)
model.compile(optimizer="adam", loss="categorical_crossentropy", metrics=["accuracy"] )
model.summary()
hist = model.fit(train_x, train_y, epochs=30,batch_size=5, verbose=2)
The output and error of the above code is as follows
Model: "model_1"
_________________________________________________________________
Layer (type) Output Shape Param #
=================================================================
input_1 (InputLayer) [(None, 224, 224, 3)] 0
efficientnetb0 (Functional) (None, 5) 4055976
=================================================================
Total params: 4,055,976
Trainable params: 4,013,953
Non-trainable params: 42,023
_________________________________________________________________
---------------------------------------------------------------------------
InternalError Traceback (most recent call last)
~\AppData\Local\Temp/ipykernel_400/3980470361.py in <module>
5 model.summary()
6
----> 7 hist = model.fit(train_x, train_y, epochs=30,batch_size=5, verbose=2)
c:\Users\Hp\anaconda3\envs\myenv\lib\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
c:\Users\Hp\anaconda3\envs\myenv\lib\site-packages\tensorflow\python\framework\constant_op.py in convert_to_eager_tensor(value, ctx, dtype)
104 dtype = dtypes.as_dtype(dtype).as_datatype_enum
105 ctx.ensure_initialized()
--> 106 return ops.EagerTensor(value, ctx.device_name, dtype)
107
108
InternalError: Failed copying input tensor from /job:localhost/replica:0/task:0/device:CPU:0 to /job:localhost/replica:0/task:0/device:GPU:0 in order to run _EagerConst: Dst tensor is not initialized.
I have tried this code after clearing RAM also but no progress
