From 8fe8d43119a3ddbe63797be816505265a7b4268c Mon Sep 17 00:00:00 2001 From: raphaelDkhn Date: Sun, 21 Jan 2024 19:16:16 +0200 Subject: [PATCH] Update SDK with new Osiris and OrionRunner version --- giza_actions/model.py | 17 +- poetry.lock | 1610 ++++++++++++++++++++++------------------- pyproject.toml | 2 +- tests/test_model.py | 7 +- 4 files changed, 887 insertions(+), 749 deletions(-) diff --git a/giza_actions/model.py b/giza_actions/model.py index 7299e56..f5b67cd 100644 --- a/giza_actions/model.py +++ b/giza_actions/model.py @@ -70,6 +70,7 @@ def _get_credentials(self): self.api_client.retrieve_api_key() def predict(self, input_file: Optional[str] = None, input_feed: Optional[Dict] = None, verifiable: bool = False, fp_impl='FP16x16', output_dtype: str = 'tensor_fixed_point'): + if verifiable: if not self.orion_runner_service_url: raise ValueError("Orion Runner service URL must be provided") @@ -80,8 +81,9 @@ def predict(self, input_file: Optional[str] = None, input_feed: Optional[Dict] = input_file, input_feed, fp_impl) response = requests.post(endpoint, json=cairo_payload) + serialized_output = json.dumps( - response.json()['result'][0]['value']['val']) + response.json()['result']) if response.status_code == 200: @@ -99,22 +101,23 @@ def predict(self, input_file: Optional[str] = None, input_feed: Optional[Dict] = return preds def _format_inputs_for_cairo(self, input_file: Optional[str], input_feed: Optional[Dict], fp_impl): - serialized = [] + serialized = None if input_file is not None: - serialized.extend(serialize(input, fp_impl)) + + serialized = serialize(input, fp_impl) if input_feed is not None: for name in input_feed: value = input_feed[name] if isinstance(value, np.ndarray): tensor = create_tensor_from_array(value, fp_impl) - serialized.extend(serializer(tensor)) + serialized = serializer(tensor) else: - serialized.extend(serializer(value)) + serialized = serializer(value) - serialized_str = json.dumps(serialized) - return {"args": serialized_str} + # TODO: make trace_file and memory_file paths dynamic + return {"trace_file": "./simple_tensor.trace", "memory_file": "simple_tensor.memory", "args": serialized} def _parse_cairo_response(self, response, data_type: str, fp_impl): return deserialize(response, data_type, fp_impl) diff --git a/poetry.lock b/poetry.lock index aa1bbb7..d48662e 100644 --- a/poetry.lock +++ b/poetry.lock @@ -56,13 +56,13 @@ trio = ["trio (<0.22)"] [[package]] name = "apprise" -version = "1.6.0" +version = "1.7.1" description = "Push Notifications that work with just about every platform!" optional = false python-versions = ">=3.6" files = [ - {file = "apprise-1.6.0-py3-none-any.whl", hash = "sha256:78dbda7fd749d8f5c0c0307ef3e350cdc9eb33aa018008577b2d0c69b6cd7c71"}, - {file = "apprise-1.6.0.tar.gz", hash = "sha256:3eefab1c5d7978b0e65c5091d1cdbe9206865dc3cb5d19ca5cfbddb76e8aaffe"}, + {file = "apprise-1.7.1-py3-none-any.whl", hash = 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orion_runner_service_url="https://deployment-admin-1-1-a10d06cd-6nn4ryaqca-ew.a.run.app") + orion_runner_service_url="http://localhost:8080") arr = np.array([[1, 2], [3, 4]], dtype=np.uint32) result = model.predict( - input_feed={"arr_1": arr}, verifiable=True, output_dtype='unsigned_int') - assert (result == 1) + input_feed={"arr_1": arr}, verifiable=True, output_dtype='tensor_uint') + + assert np.array_equal(result, arr)