def test_tvmc_import_package_project_dir(tflite_mobilenet_v1_1_quant,
tflite_compile_model):
pytest.importorskip("tflite")
# Generate a MLF archive.
compiled_model_mlf_tvmc_package = tflite_compile_model(
tflite_mobilenet_v1_1_quant, output_format="mlf")
# Import the MLF archive setting 'project_dir'. It must succeed.
mlf_archive_path = compiled_model_mlf_tvmc_package.package_path
tvmc_package = TVMCPackage(mlf_archive_path, project_dir="/tmp/foobar")
assert tvmc_package.type == "mlf", "Can't load the MLF archive passing the project directory!"
# Generate a Classic archive.
compiled_model_classic_tvmc_package = tflite_compile_model(
tflite_mobilenet_v1_1_quant)
# Import the Classic archive setting 'project_dir'.
# It must fail since setting 'project_dir' is only support when importing a MLF archive.
classic_archive_path = compiled_model_classic_tvmc_package.package_path
with pytest.raises(TVMCException) as exp:
tvmc_package = TVMCPackage(classic_archive_path,
project_dir="/tmp/foobar")
expected_reason = "Setting 'project_dir' is only allowed when importing a MLF.!"
on_error = "A TVMCException was caught but its reason is not the expected one."
assert str(exp.value) == expected_reason, on_error
def test_tvmc_import_package_mlf(tflite_compiled_model_mlf):
pytest.importorskip("tflite")
# Compile and export a model to a MLF archive so it can be imported.
exported_tvmc_package = tflite_compiled_model_mlf
archive_path = exported_tvmc_package.package_path
# Import the MLF archive. TVMCPackage constructor will call import_package method.
tvmc_package = TVMCPackage(archive_path)
assert tvmc_package.lib_name is None, ".lib_name must not be set in the MLF archive."
assert tvmc_package.lib_path is None, ".lib_path must not be set in the MLF archive."
assert tvmc_package.graph is not None, ".graph must be set in the MLF archive."
assert tvmc_package.params is not None, ".params must be set in the MLF archive."
assert tvmc_package.type == "mlf", ".type must be set to 'mlf' in the MLF format."
def test_compile_keras__save_module(keras_resnet50, tmpdir_factory):
# some CI environments wont offer tensorflow/Keras, so skip in case it is not present
pytest.importorskip("tensorflow")
expected_temp_dir = tmpdir_factory.mktemp("saved_output")
expected_file_name = "saved.tar"
module_file = os.path.join(expected_temp_dir, expected_file_name)
tvmc_model = tvmc.load(keras_resnet50)
tvmc.compile(tvmc_model, target="llvm", dump_code="ll", package_path=module_file)
assert os.path.exists(module_file), "output file {0} should exist".format(module_file)
# Test that we can load back in a module.
tvmc_package = TVMCPackage(package_path=module_file)
assert type(tvmc_package.lib_path) is str
assert type(tvmc_package.graph) is str
assert type(tvmc_package.params) is bytearray
def test_tvmc_import_package_mlf_aot(tflite_mobilenet_v1_1_quant,
tflite_compile_model):
pytest.importorskip("tflite")
tflite_compiled_model_mlf = tflite_compile_model(
tflite_mobilenet_v1_1_quant,
target="c --executor=aot",
output_format="mlf",
pass_context_configs=["tir.disable_vectorize=1"],
)
# Compile and export a model to a MLF archive so it can be imported.
exported_tvmc_package = tflite_compiled_model_mlf
archive_path = exported_tvmc_package.package_path
# Import the MLF archive. TVMCPackage constructor will call import_package method.
tvmc_package = TVMCPackage(archive_path)
assert tvmc_package.lib_name is None, ".lib_name must not be set in the MLF archive."
assert tvmc_package.lib_path is None, ".lib_path must not be set in the MLF archive."
assert tvmc_package.graph is None, ".graph must not be set in the MLF archive for AOT executor."
assert tvmc_package.params is not None, ".params must be set in the MLF archive."
assert tvmc_package.type == "mlf", ".type must be set to 'mlf' in the MLF format."