diff --git a/.github/install_colab_deps.py b/.github/install_colab_deps.py new file mode 100755 index 00000000..f040b35d --- /dev/null +++ b/.github/install_colab_deps.py @@ -0,0 +1,40 @@ +# coding=utf-8 +# Copyright 2024 The Perch Authors. +# +# 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 +# +# http://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. + +"""Installs Colab dependencies for CI testing.""" + +from typing import Sequence + +from absl import app +import requests + + +REQS_FILE = 'https://raw.githubusercontent.com/googlecolab/backend-info/main/pip-freeze.txt' +COLAB_REQS_FILE = '/tmp/colab_reqs.txt' + + +def main(unused_argv: Sequence[str]) -> None: + got = requests.get(REQS_FILE) + requirements_str = str(got.content, 'utf8') + # Skip the file:// lines, which we do not have access to. + lines = [ + ln + '\n' for ln in requirements_str.split('\n') if 'file://' not in ln + ] + with open(COLAB_REQS_FILE, 'w') as f: + f.writelines(lines) + + +if __name__ == '__main__': + app.run(main) diff --git a/chirp/inference/tests/bootstrap_test.py b/chirp/inference/tests/bootstrap_test.py index b362d50a..28522208 100644 --- a/chirp/inference/tests/bootstrap_test.py +++ b/chirp/inference/tests/bootstrap_test.py @@ -16,6 +16,7 @@ """Tests for project state handling.""" import os +import shutil import tempfile from chirp import audio_utils @@ -33,12 +34,21 @@ class BootstrapTest(absltest.TestCase): + def setUp(self): + super().setUp() + # `self.create_tempdir()` raises an UnparsedFlagAccessError, which is why + # we use `tempdir` directly. + self.tempdir = tempfile.mkdtemp() + + def tearDown(self): + super().tearDown() + shutil.rmtree(self.tempdir) + def make_wav_files(self, classes, filenames): # Create a pile of files. rng = np.random.default_rng(seed=42) - tmpdir = self.create_tempdir() for subdir in classes: - subdir_path = os.path.join(tmpdir.full_path, subdir) + subdir_path = os.path.join(self.tempdir, subdir) os.mkdir(subdir_path) for filename in filenames: with open( @@ -46,7 +56,7 @@ def make_wav_files(self, classes, filenames): ) as f: noise = rng.normal(scale=0.2, size=16000) wavfile.write(f, 16000, noise) - audio_glob = os.path.join(tmpdir.full_path, '*/*.wav') + audio_glob = os.path.join(self.tempdir, '*/*.wav') return audio_glob def write_placeholder_embeddings(self, audio_glob, source_infos, embed_dir): @@ -129,15 +139,16 @@ def test_bootstrap_from_embeddings(self): source_infos = embed_lib.create_source_infos([audio_glob], shard_len_s=5.0) self.assertLen(source_infos, len(classes) * len(filenames)) - embed_dir = self.create_tempdir() - labeled_dir = self.create_tempdir() - self.write_placeholder_embeddings( - audio_glob, source_infos, embed_dir.full_path - ) + embed_dir = os.path.join(self.tempdir, 'embeddings') + labeled_dir = os.path.join(self.tempdir, 'labeled') + epath.Path(embed_dir).mkdir(parents=True, exist_ok=True) + epath.Path(labeled_dir).mkdir(parents=True, exist_ok=True) + + self.write_placeholder_embeddings(audio_glob, source_infos, embed_dir) bootstrap_config = bootstrap.BootstrapConfig.load_from_embedding_path( - embeddings_path=embed_dir.full_path, - annotated_path=labeled_dir.full_path, + embeddings_path=embed_dir, + annotated_path=labeled_dir, ) print('config hash : ', bootstrap_config.embedding_config_hash()) diff --git a/chirp/inference/tests/embed_test.py b/chirp/inference/tests/embed_test.py index fac351cb..0d32e976 100644 --- a/chirp/inference/tests/embed_test.py +++ b/chirp/inference/tests/embed_test.py @@ -18,6 +18,7 @@ import os import tempfile +from absl import logging import apache_beam as beam from apache_beam.testing import test_pipeline from chirp import audio_utils @@ -339,7 +340,12 @@ def test_logits_output_head(self): logits_model = _make_output_head_model( '/tmp/logits_model', embedding_dim=128 ) - base_outputs = base_model.embed(np.zeros(5 * 22050)) + base_outputs = base_model.embed(np.zeros(5 * 22050, dtype=np.float32)) + logging.warning('Keras model: ', logits_model.logits_model) + logging.warning( + 'logits model output: ', + logits_model.logits_model(np.zeros([1, 128], dtype=np.float32)), + ) updated_outputs = logits_model.add_logits(base_outputs, keep_original=True) self.assertSequenceEqual( updated_outputs.logits['other_label'].shape, @@ -350,6 +356,8 @@ def test_logits_output_head(self): # Save and restore the model. with tempfile.TemporaryDirectory() as logits_model_dir: + # Explicitly call 'predict' so that Keras records the model graph. + logits_model.logits_model.predict(np.zeros([1, 128], dtype=np.float32)) logits_model.save_model(logits_model_dir, '') restored_model = interface.LogitsOutputHead.from_config_file( logits_model_dir diff --git a/poetry.lock b/poetry.lock index f0a4bd7f..86d748db 100644 --- a/poetry.lock +++ b/poetry.lock @@ -13,87 +13,87 @@ files = [ [[package]] name = "aiohttp" -version = "3.9.3" +version = "3.9.5" description = "Async http client/server framework (asyncio)" optional = false python-versions = ">=3.8" files = [ - {file = "aiohttp-3.9.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:939677b61f9d72a4fa2a042a5eee2a99a24001a67c13da113b2e30396567db54"}, - {file = "aiohttp-3.9.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:1f5cd333fcf7590a18334c90f8c9147c837a6ec8a178e88d90a9b96ea03194cc"}, - {file = "aiohttp-3.9.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:82e6aa28dd46374f72093eda8bcd142f7771ee1eb9d1e223ff0fa7177a96b4a5"}, - {file = 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