def testInvokeTFLiteRewriterQuantizationFullIntegerSucceeds(self, converter):
m = self.ConverterMock()
converter.return_value = m
src_model, dst_model, _, dst_model_path = self.create_temp_model_template()
def representative_dataset():
for i in range(2):
yield [np.array(i)]
tfrw = tflite_rewriter.TFLiteRewriter(
name='myrw',
filename='fname',
quantization_optimizations=[tf.lite.Optimize.DEFAULT],
quantization_enable_full_integer=True,
representative_dataset=representative_dataset)
tfrw.perform_rewrite(src_model, dst_model)
converter.assert_called_once_with(
saved_model_path=mock.ANY,
quantization_optimizations=[tf.lite.Optimize.DEFAULT],
quantization_supported_types=[],
representative_dataset=representative_dataset,
signature_key=None)
expected_model = os.path.join(dst_model_path, 'fname')
self.assertTrue(fileio.exists(expected_model))
with fileio.open(expected_model, 'rb') as f:
self.assertEqual(f.read(), b'model')
def testInvokeTFLiteRewriterNoAssetsSucceeds(self, converter):
m = self.ConverterMock()
converter.return_value = m
src_model_path = tempfile.mkdtemp()
dst_model_path = tempfile.mkdtemp()
saved_model_path = os.path.join(
src_model_path, tf.saved_model.SAVED_MODEL_FILENAME_PBTXT)
with fileio.open(saved_model_path, 'wb') as f:
f.write(six.ensure_binary('saved_model'))
src_model = rewriter.ModelDescription(rewriter.ModelType.SAVED_MODEL,
src_model_path)
dst_model = rewriter.ModelDescription(rewriter.ModelType.TFLITE_MODEL,
dst_model_path)
tfrw = tflite_rewriter.TFLiteRewriter(name='myrw', filename='fname')
tfrw.perform_rewrite(src_model, dst_model)
converter.assert_called_once_with(saved_model_path=mock.ANY,
enable_quantization=False)
expected_model = os.path.join(dst_model_path, 'fname')
self.assertTrue(fileio.exists(expected_model))
with fileio.open(expected_model, 'rb') as f:
self.assertEqual(six.ensure_text(f.readline()), 'model')
def testInvokeTFLiteRewriterWithAssetsSucceeds(self, converter):
m = self.ConverterMock()
converter.return_value = m
src_model_path = tempfile.mkdtemp()
dst_model_path = tempfile.mkdtemp()
saved_model_path = os.path.join(
src_model_path, tf.saved_model.SAVED_MODEL_FILENAME_PBTXT)
with tf.io.gfile.GFile(saved_model_path, 'wb') as f:
f.write(six.ensure_binary('saved_model'))
assets_dir = os.path.join(src_model_path,
tf.saved_model.ASSETS_DIRECTORY)
tf.io.gfile.mkdir(assets_dir)
assets_file_path = os.path.join(assets_dir, 'assets_file')
with tf.io.gfile.GFile(assets_file_path, 'wb') as f:
f.write(six.ensure_binary('assets_file'))
assets_extra_dir = os.path.join(src_model_path, EXTRA_ASSETS_DIRECTORY)
tf.io.gfile.mkdir(assets_extra_dir)
assets_extra_file_path = os.path.join(assets_extra_dir,
'assets_extra_file')
with tf.io.gfile.GFile(assets_extra_file_path, 'wb') as f:
f.write(six.ensure_binary('assets_extra_file'))
src_model = rewriter.ModelDescription(rewriter.ModelType.SAVED_MODEL,
src_model_path)
dst_model = rewriter.ModelDescription(rewriter.ModelType.TFLITE_MODEL,
dst_model_path)
tfrw = tflite_rewriter.TFLiteRewriter(
name='myrw',
filename='fname',
enable_experimental_new_converter=True,
enable_quantization=True)
tfrw.perform_rewrite(src_model, dst_model)
converter.assert_called_once_with(
saved_model_path=mock.ANY,
enable_experimental_new_converter=True,
enable_quantization=True)
expected_model = os.path.join(dst_model_path, 'fname')
self.assertTrue(tf.io.gfile.exists(expected_model))
with tf.io.gfile.GFile(expected_model, 'rb') as f:
self.assertEqual(six.ensure_text(f.readline()), 'model')
expected_assets_file = os.path.join(dst_model_path,
tf.saved_model.ASSETS_DIRECTORY,
'assets_file')
with tf.io.gfile.GFile(expected_assets_file, 'rb') as f:
self.assertEqual(six.ensure_text(f.readline()), 'assets_file')
expected_assets_extra_file = os.path.join(dst_model_path,
EXTRA_ASSETS_DIRECTORY,
'assets_extra_file')
with tf.io.gfile.GFile(expected_assets_extra_file, 'rb') as f:
self.assertEqual(six.ensure_text(f.readline()),
'assets_extra_file')
def testInvokeTFLiteRewriterQuantizationFullIntegerFails(self, converter):
m = self.ConverterMock()
converter.return_value = m
src_model, dst_model, _, _ = self.create_temp_model_template()
tfrw = tflite_rewriter.TFLiteRewriter(
name='myrw',
filename='fname',
quantization_optimizations=[tf.lite.Optimize.DEFAULT],
quantization_enable_full_integer=True)
self.assertRaises(NotImplementedError,
tfrw.perform_rewrite(src_model, dst_model))
def testInvokeTFLiteRewriterWithSignatureKey(self, converter):
m = self.ConverterMock()
converter.return_value = m
src_model, dst_model, _, _ = self.create_temp_model_template()
tfrw = tflite_rewriter.TFLiteRewriter(name='myrw',
filename='fname',
signature_key='tflite')
tfrw.perform_rewrite(src_model, dst_model)
_, kwargs = converter.call_args
self.assertListEqual(kwargs['signature_keys'], ['tflite'])
def testInvokeTFLiteRewriterWithAssetsSucceeds(self, converter):
m = self.ConverterMock()
converter.return_value = m
src_model, dst_model, src_model_path, dst_model_path = (
self.create_temp_model_template())
assets_dir = os.path.join(src_model_path,
tf.saved_model.ASSETS_DIRECTORY)
fileio.mkdir(assets_dir)
assets_file_path = os.path.join(assets_dir, 'assets_file')
with fileio.open(assets_file_path, 'wb') as f:
f.write(six.ensure_binary('assets_file'))
assets_extra_dir = os.path.join(src_model_path, EXTRA_ASSETS_DIRECTORY)
fileio.mkdir(assets_extra_dir)
assets_extra_file_path = os.path.join(assets_extra_dir,
'assets_extra_file')
with fileio.open(assets_extra_file_path, 'wb') as f:
f.write(six.ensure_binary('assets_extra_file'))
tfrw = tflite_rewriter.TFLiteRewriter(
name='myrw',
filename='fname',
quantization_optimizations=[tf.lite.Optimize.DEFAULT])
tfrw.perform_rewrite(src_model, dst_model)
converter.assert_called_once_with(
saved_model_path=mock.ANY,
quantization_optimizations=[tf.lite.Optimize.DEFAULT],
quantization_supported_types=[],
representative_dataset=None,
signature_key=None)
expected_model = os.path.join(dst_model_path, 'fname')
self.assertTrue(fileio.exists(expected_model))
with fileio.open(expected_model, 'rb') as f:
self.assertEqual(six.ensure_text(f.readline()), 'model')
expected_assets_file = os.path.join(dst_model_path,
tf.saved_model.ASSETS_DIRECTORY,
'assets_file')
with fileio.open(expected_assets_file, 'rb') as f:
self.assertEqual(six.ensure_text(f.readline()), 'assets_file')
expected_assets_extra_file = os.path.join(dst_model_path,
EXTRA_ASSETS_DIRECTORY,
'assets_extra_file')
with fileio.open(expected_assets_extra_file, 'rb') as f:
self.assertEqual(six.ensure_text(f.readline()),
'assets_extra_file')
def testInvokeConverterWithKwargs(self, converter):
converter.return_value = self.ConverterMock()
src_model, dst_model, _, _ = self.create_temp_model_template()
tfrw = tflite_rewriter.TFLiteRewriter(
name='myrw', filename='fname', output_arrays=['head'])
tfrw.perform_rewrite(src_model, dst_model)
converter.assert_called_once_with(
saved_model_path=mock.ANY,
quantization_optimizations=[],
quantization_supported_types=[],
representative_dataset=None,
signature_key=None,
output_arrays=['head'])
def testInvokeTFLiteRewriterQuantizationFullIntegerFailsNoData(
self, converter, model):
class ModelMock(object):
pass
m = ModelMock()
model.return_value = m
n = self.ConverterMock()
converter.return_value = n
with self.assertRaises(ValueError):
_ = tflite_rewriter.TFLiteRewriter(
name='myrw',
filename='fname',
quantization_optimizations=[tf.lite.Optimize.DEFAULT],
quantization_enable_full_integer=True)
def testInvokeTFLiteRewriterNoAssetsSucceeds(self, converter):
m = self.ConverterMock()
converter.return_value = m
src_model, dst_model, _, dst_model_path = self.create_temp_model_template(
)
tfrw = tflite_rewriter.TFLiteRewriter(name='myrw', filename='fname')
tfrw.perform_rewrite(src_model, dst_model)
converter.assert_called_once_with(saved_model_path=mock.ANY,
quantization_optimizations=[],
quantization_supported_types=[],
input_data=None)
expected_model = os.path.join(dst_model_path, 'fname')
self.assertTrue(fileio.exists(expected_model))
with fileio.open(expected_model, 'rb') as f:
self.assertEqual(six.ensure_text(f.readline()), 'model')
def testInvokeTFLiteRewriterNoAssetsSucceeds(self, converter):
m = self.ConverterMock()
converter.return_value = m
src_model_path = tempfile.mkdtemp()
dst_model_path = tempfile.mkdtemp()
saved_model_path = os.path.join(
src_model_path, tf.saved_model.SAVED_MODEL_FILENAME_PBTXT)
with tf.io.gfile.GFile(saved_model_path, 'wb') as f:
f.write(six.ensure_binary('saved_model'))
src_model = rewriter.ModelDescription(rewriter.ModelType.SAVED_MODEL,
src_model_path)
dst_model = rewriter.ModelDescription(rewriter.ModelType.TFLITE_MODEL,
dst_model_path)
tfrw = tflite_rewriter.TFLiteRewriter('myrw', 'fname', True)
tfrw.perform_rewrite(src_model, dst_model)
expected_model = os.path.join(dst_model_path, 'fname')
self.assertTrue(tf.io.gfile.exists(expected_model))
with tf.io.gfile.GFile(expected_model, 'rb') as f:
self.assertEqual(six.ensure_text(f.readline()), 'model')
def testInvokeTFLiteRewriterQuantizationFloat16Succeeds(self, converter):
m = self.ConverterMock()
converter.return_value = m
src_model, dst_model, _, dst_model_path = self.create_temp_model_template(
)
tfrw = tflite_rewriter.TFLiteRewriter(
name='myrw',
filename='fname',
quantization_optimizations=[tf.lite.Optimize.DEFAULT],
quantization_supported_types=[tf.float16])
tfrw.perform_rewrite(src_model, dst_model)
converter.assert_called_once_with(
saved_model_path=mock.ANY,
quantization_optimizations=[tf.lite.Optimize.DEFAULT],
quantization_supported_types=[tf.float16],
representative_dataset=None,
signature_key=None)
expected_model = os.path.join(dst_model_path, 'fname')
self.assertTrue(fileio.exists(expected_model))
with fileio.open(expected_model, 'rb') as f:
self.assertEqual(six.ensure_text(f.readline()), 'model')
