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Update SDK with new Osiris and OrionRunner version #3

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merged 1 commit into from
Jan 22, 2024
Merged

Update SDK with new Osiris and OrionRunner version #3

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17 changes: 10 additions & 7 deletions giza_actions/model.py
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Original file line number Diff line number Diff line change
Expand Up @@ -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")
Expand All @@ -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:

Expand All @@ -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)
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