tensorflowpythonframeworkerrors_implInvalidArgumentError cannot compute Conv2D as input #1zero-based was expected to be a float tensor but is a double tensor OpConv2D name conv1d_4conv1d

This error occurs when the input tensor to the Conv2D operation is of the wrong data type. In this case, it is expecting a float tensor but is receiving a double tensor.

To fix this error, you can cast the input tensor to a float tensor using the tf.cast function before passing it to the Conv2D operation. For example:

input_tensor = tf.cast(input_tensor, dtype=tf.float32)
output_tensor = tf.keras.layers.Conv2D(filters=32, kernel_size=(3,3))(input_tensor)

This should resolve the error and allow the Conv2D operation to be computed correctly.