def test_build_all_signature_defs_serving_only(self):
receiver_tensor = {"input": array_ops.placeholder(dtypes.string)}
output_1 = constant_op.constant([1.])
export_outputs = {
signature_constants.DEFAULT_SERVING_SIGNATURE_DEF_KEY:
export_output.PredictOutput(outputs=output_1),
"train": export_output.TrainOutput(loss=output_1),
}
signature_defs = export.build_all_signature_defs(
receiver_tensor, export_outputs)
expected_signature_defs = {
"serving_default": signature_def_utils.predict_signature_def(
receiver_tensor, {"output": output_1})
}
self.assertDictEqual(expected_signature_defs, signature_defs)
signature_defs = export.build_all_signature_defs(
receiver_tensor, export_outputs, serving_only=False)
expected_signature_defs.update({
"train": signature_def_utils.supervised_train_signature_def(
receiver_tensor, loss={"loss": output_1})
})
self.assertDictEqual(expected_signature_defs, signature_defs)
def test_build_all_signature_defs_serving_only(self):
receiver_tensor = {"input": array_ops.placeholder(dtypes.string)}
output_1 = constant_op.constant([1.])
export_outputs = {
signature_constants.DEFAULT_SERVING_SIGNATURE_DEF_KEY:
export_output.PredictOutput(outputs=output_1),
"train": export_output.TrainOutput(loss=output_1),
}
signature_defs = export_utils.build_all_signature_defs(
receiver_tensor, export_outputs)
expected_signature_defs = {
"serving_default": signature_def_utils.predict_signature_def(
receiver_tensor, {"output": output_1})
}
self.assertDictEqual(expected_signature_defs, signature_defs)
signature_defs = export_utils.build_all_signature_defs(
receiver_tensor, export_outputs, serving_only=False)
expected_signature_defs.update({
"train": signature_def_utils.supervised_train_signature_def(
receiver_tensor, loss={"loss": output_1})
})
self.assertDictEqual(expected_signature_defs, signature_defs)
def test_build_all_signature_defs_serving_only(self):
# Force the test to run in graph mode.
# This tests a deprecated v1 API that depends on graph-only functions such
# as build_tensor_info.
with ops.Graph().as_default():
receiver_tensor = {"input": array_ops.placeholder(dtypes.string)}
output_1 = constant_op.constant([1.])
export_outputs = {
signature_constants.DEFAULT_SERVING_SIGNATURE_DEF_KEY:
export_output.PredictOutput(outputs=output_1),
"train":
export_output.TrainOutput(loss=output_1),
}
signature_defs = export_utils.build_all_signature_defs(
receiver_tensor, export_outputs)
expected_signature_defs = {
"serving_default":
signature_def_utils.predict_signature_def(
receiver_tensor, {"output": output_1})
}
self.assertDictEqual(expected_signature_defs, signature_defs)
signature_defs = export_utils.build_all_signature_defs(
receiver_tensor, export_outputs, serving_only=False)
expected_signature_defs.update({
"train":
signature_def_utils.supervised_train_signature_def(
receiver_tensor, loss={"loss": output_1})
})
self.assertDictEqual(expected_signature_defs, signature_defs)
