import tensorflow as tf

# Define the input shape
input_shape = (None, height, width, channels)

# Create a Conv2D layer
conv_layer = tf.keras.layers.Conv2D(filters=32, kernel_size=(3, 3), strides=(1, 1), padding='valid', activation='relu', input_shape=input_shape)

# Apply the Conv2D layer to the input data
output = conv_layer(input_data)