In TensorFlow Lite Micro are Dense/Dropout/Flatten Layers available? - c++

Question

I know the available ops are in all_ops_resolver.cc but there are non for Dropout, Flatten or Dense.
The magic_wand example trains a model using these layers.
def build_cnn(seq_length):
"""Builds a convolutional neural network in Keras."""
model = tf.keras.Sequential([
tf.keras.layers.Conv2D(
8, (4, 3),
padding="same",
activation="relu",
input_shape=(seq_length, 3, 1)), # output_shape=(batch, 128, 3, 8)
tf.keras.layers.MaxPool2D((3, 3)), # (batch, 42, 1, 8)
tf.keras.layers.Dropout(0.1), # (batch, 42, 1, 8)
tf.keras.layers.Conv2D(16, (4, 1), padding="same",
activation="relu"), # (batch, 42, 1, 16)
tf.keras.layers.MaxPool2D((3, 1), padding="same"), # (batch, 14, 1, 16)
tf.keras.layers.Dropout(0.1), # (batch, 14, 1, 16)
tf.keras.layers.Flatten(), # (batch, 224)
tf.keras.layers.Dense(16, activation="relu"), # (batch, 16)
tf.keras.layers.Dropout(0.1), # (batch, 16)
tf.keras.layers.Dense(4, activation="softmax") # (batch, 4)
When loading the model I don't see these layers anywhere. Also searching over the whole codebase did't not bring much clarity.
static tflite::MicroMutableOpResolver<5> micro_op_resolver; // NOLINT
micro_op_resolver.AddConv2D();
micro_op_resolver.AddDepthwiseConv2D();
micro_op_resolver.AddFullyConnected();
micro_op_resolver.AddMaxPool2D();
micro_op_resolver.AddSoftmax();