| # Copyright 2020 The IREE Authors | |
| # | |
| # Licensed under the Apache License v2.0 with LLVM Exceptions. | |
| # See https://llvm.org/LICENSE.txt for license information. | |
| # SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception | |
| import os | |
| import numpy as np | |
| # Jax is the most accessible way to get at an xla_client. | |
| # python -m pip install --upgrade pip | |
| # python -m pip install --upgrade jax jaxlib | |
| from jaxlib import xla_client | |
| ops = xla_client.ops | |
| builder = xla_client.XlaBuilder("testbuilder") | |
| in_shape = np.array([4], dtype=np.float32) | |
| in_feed = ops.Parameter(builder, 0, xla_client.shape_from_pyval(in_shape)) | |
| result = ops.Add(in_feed, ops.Constant(builder, np.float32(1.0))) | |
| xla_computation = builder.Build(result) | |
| this_dir = os.path.dirname(__file__) | |
| with open(os.path.join(this_dir, "xla_sample.pb"), "wb") as f: | |
| f.write(xla_computation.as_serialized_hlo_module_proto()) | |
| with open(os.path.join(this_dir, "xla_sample.hlo"), "wt") as f: | |
| f.write(xla_computation.as_hlo_text()) |