There is no direct implementation of “Hello World!” in XLA, as it is a compilation target for TensorFlow MLIR and not a general-purpose programming language. However, you can use the TensorFlow framework to write “Hello World!” using XLA. Here’s an example code snippet:
import tensorflow as tf
tf.enable_xla_application() # Enable XLA compilation for TensorFlow
@tf.function(jit_compile=True) # Mark the function to be compiled with XLA
def hello_world():
return tf.constant("Hello World!")
# Call the hello_world() function and print the result
print(hello_world())
This code snippet uses TensorFlow’s JIT (just-in-time) compiler to compile the hello_world() function using XLA. The @tf.function decorator enables JIT compilation, and the jit_compile=True argument explicitly requests XLA compilation. The hello_world() function simply returns a constant string “Hello World!”. Finally, the code prints the result of calling the hello_world() function.
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Image model: ProtoVisionXL
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