| # Copyright 2020 Google LLC |
| # |
| # Licensed under the Apache License, Version 2.0 (the "License"); |
| # you may not use this file except in compliance with the License. |
| # You may obtain a copy of the License at |
| # |
| # https://www.apache.org/licenses/LICENSE-2.0 |
| # |
| # Unless required by applicable law or agreed to in writing, software |
| # distributed under the License is distributed on an "AS IS" BASIS, |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| # See the License for the specific language governing permissions and |
| # limitations under the License. |
| |
| 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()) |
