diff --git a/examples/complex_model/main.py b/examples/complex_model/main.py index 1dcddbb..973c456 100644 --- a/examples/complex_model/main.py +++ b/examples/complex_model/main.py @@ -1,25 +1,16 @@ -"""Complex model example""" - -import os -import sys - -sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__)))) +"""Dot Product example script""" import asyncio +import os import nada_numpy as na import nada_numpy.client as na_client import numpy as np -import py_nillion_client as nillion import torch -from common.utils import compute, store_program, store_secrets -from cosmpy.aerial.client import LedgerClient -from cosmpy.aerial.wallet import LocalWallet -from cosmpy.crypto.keypairs import PrivateKey from dotenv import load_dotenv -from nillion_python_helpers import (create_nillion_client, - create_payments_config) -from py_nillion_client import NodeKey, UserKey +from nillion_client import (InputPartyBinding, Network, NilChainPayer, + NilChainPrivateKey, OutputPartyBinding, + Permissions, PrivateKey, SecretInteger, VmClient) from nada_ai.client import TorchClient @@ -27,41 +18,60 @@ load_dotenv(f"{home}/.config/nillion/nillion-devnet.env") +async def new_client(network, id: int, private_key: str = None): + # Create payments config and set up Nillion wallet with a private key to pay for operations + nilchain_key: str = os.getenv(f"NILLION_NILCHAIN_PRIVATE_KEY_{id}") # type: ignore + payer = NilChainPayer( + network, + wallet_private_key=NilChainPrivateKey(bytes.fromhex(nilchain_key)), + gas_limit=10000000, + ) + + # Use a random key to identify ourselves + signing_key = PrivateKey(private_key) + print(signing_key.private_key) + client = await VmClient.create(signing_key, network, payer) + return client + + +# 1 Party running simple addition on 1 stored secret and 1 compute time secret async def main() -> None: """Main nada program""" + network = Network.from_config("devnet") + + # WARNING: In a real use case, the Provider and User would never have access to the Private Key + # This is just for demonstration purposes + # Provider and User should only exchange their IDs + model_provider_name = "Party0" + model_provider = await new_client( + network, + 0, + b'\xbf\xdf7\xa9\x1eL\x10i"\xd8\x1f\xbb\xe8\r;\x1b`\x1a\xd1\xa1;\xef\xd8\xbbf|\xf9\x12\xe9\xef\x03\xc7', + ) + model_user_name = "Party1" + model_user = await new_client( + network, + 1, + b"\x15\xa0\xc1\xcc\x12\xb5r\xf9\xcb\x89\x95\x8d\x94\xfb\xfe)\xdf\xfe\xbd3\x00\x18\x80\xc1\xd9W\x8b\xf7\xc0\x92S\xe9", + ) - cluster_id = os.getenv("NILLION_CLUSTER_ID") - grpc_endpoint = os.getenv("NILLION_NILCHAIN_GRPC") - chain_id = os.getenv("NILLION_NILCHAIN_CHAIN_ID") - seed = "my_seed" - userkey = UserKey.from_seed((seed)) - nodekey = NodeKey.from_seed((seed)) - client = create_nillion_client(userkey, nodekey) - party_id = client.party_id - user_id = client.user_id - - party_names = na_client.parties(2) program_name = "complex_model" - program_mir_path = f"target/{program_name}.nada.bin" - - # Configure payments - payments_config = create_payments_config(chain_id, grpc_endpoint) - payments_client = LedgerClient(payments_config) - payments_wallet = LocalWallet( - PrivateKey(bytes.fromhex(os.getenv("NILLION_NILCHAIN_PRIVATE_KEY_0"))), - prefix="nillion", - ) + program_mir_path = f"./target/{program_name}.nada.bin" + + ##### STORE PROGRAM + print("-----STORE PROGRAM") # Store program - program_id = await store_program( - client, - payments_wallet, - payments_client, - user_id, - cluster_id, - program_name, - program_mir_path, - ) + program_mir = open( + os.path.join(os.path.dirname(os.path.abspath(__file__)), program_mir_path), "rb" + ).read() + program_id = await model_provider.store_program(program_name, program_mir).invoke() + + # Print details about stored program + print(f"Stored program_id: {program_id}") + + ##### STORE SECRETS + print("-----STORE SECRETS Party 0") # Create custom torch Module class MyConvModule(torch.nn.Module): @@ -109,76 +119,67 @@ def forward(self, x: torch.Tensor) -> torch.Tensor: # Create and store model secrets via ModelClient model_client = TorchClient(my_model) - model_secrets = nillion.NadaValues( - model_client.export_state_as_secrets("my_model", na.SecretRational) - ) - permissions = nillion.Permissions.default_for_user(client.user_id) - permissions.add_compute_permissions({client.user_id: {program_id}}) - - model_store_id = await store_secrets( - client, - payments_wallet, - payments_client, - cluster_id, - model_secrets, - 1, - permissions, + model_secrets = model_client.export_state_as_secrets( + "my_model", na_client.SecretRational ) - # Store inputs to perform inference for - my_input = na_client.array(np.ones((3, 4, 3)), "my_input", na.SecretRational) - input_secrets = nillion.NadaValues(my_input) - - data_store_id = await store_secrets( - client, - payments_wallet, - payments_client, - cluster_id, - input_secrets, - 1, - permissions, + # Create a permissions object to attach to the stored secret + permissions = Permissions.defaults_for_user(model_provider.user_id).allow_compute( + model_user.user_id, program_id ) - # Set up the compute bindings for the parties - compute_bindings = nillion.ProgramBindings(program_id) + # Store a secret, passing in the receipt that shows proof of payment + my_nn_store_id = await model_provider.store_values( + model_secrets, ttl_days=5, permissions=permissions + ).invoke() - for party_name in party_names: - compute_bindings.add_input_party(party_name, party_id) - compute_bindings.add_output_party(party_names[-1], party_id) + print("-----STORE SECRETS Party 1") - print(f"Computing using program {program_id}") - print(f"Use secret store_id: {model_store_id}, {data_store_id}") + # Create a secret + my_input = na_client.array(np.ones((3, 4, 3)), "my_input", na.SecretRational) + # Create a permissions object to attach to the stored secret + permissions = Permissions.defaults_for_user(model_user.user_id).allow_compute( + model_user.user_id, program_id + ) - # Create a computation time secret to use - computation_time_secrets = nillion.NadaValues({}) + # Store a secret, passing in the receipt that shows proof of payment + my_inputs_store_id = await model_user.store_values( + my_input, ttl_days=5, permissions=permissions + ).invoke() - # Compute, passing all params including the receipt that shows proof of payment - result = await compute( - client, - payments_wallet, - payments_client, - program_id, - cluster_id, - compute_bindings, - [model_store_id, data_store_id], - computation_time_secrets, - verbose=True, - ) + ##### COMPUTE + print("-----COMPUTE") - # Sort & rescale the obtained results by the quantization scale - outputs = [ - na_client.float_from_rational(result[1]) - for result in sorted( - result.items(), - key=lambda x: int(x[0].replace("my_output", "").replace("_", "")), - ) + # Bind the parties in the computation to the client to set input and output parties + input_bindings = [ + InputPartyBinding(model_provider_name, model_provider.user_id), + InputPartyBinding(model_user_name, model_user.user_id), ] + output_bindings = [OutputPartyBinding(model_user_name, [model_user.user_id])] - print(f"🖥️ The processed result is {outputs} @ {na.get_log_scale()}-bit precision") - - expected = my_model.forward(torch.ones((3, 4, 3))).detach().numpy().tolist() + # Create a computation time secret to use + compute_time_values = { + # "my_int2": SecretInteger(10) + } - print(f"🖥️ VS expected result {expected}") + # Compute, passing in the compute time values as well as the previously uploaded value. + print( + f"Invoking computation using program {program_id} and values id {my_nn_store_id}, {my_inputs_store_id}" + ) + compute_id = await model_user.compute( + program_id, + input_bindings, + output_bindings, + values=compute_time_values, + value_ids=[my_nn_store_id, my_inputs_store_id], + ).invoke() + + # Print compute result + print(f"The computation was sent to the network. compute_id: {compute_id}") + result = await model_user.retrieve_compute_results(compute_id).invoke() + print(f"✅ Compute complete for compute_id {compute_id}") + print(f"🖥️ The result is {result}") + return result if __name__ == "__main__": diff --git a/examples/conv_net/01_provide_model.py b/examples/conv_net/01_provide_model.py index 994351f..dec047d 100644 --- a/examples/conv_net/01_provide_model.py +++ b/examples/conv_net/01_provide_model.py @@ -1,25 +1,19 @@ """Provide model weights to program""" -import os -import sys - -sys.path.append(os.path.abspath(os.path.join(os.getcwd(), os.pardir))) - import argparse import asyncio import json +import os import nada_numpy as na -import py_nillion_client as nillion +import nada_numpy.client as na_client +import numpy as np +import pytest import torch -from common.utils import store_program, store_secrets -from cosmpy.aerial.client import LedgerClient -from cosmpy.aerial.wallet import LocalWallet -from cosmpy.crypto.keypairs import PrivateKey from dotenv import load_dotenv -from nillion_python_helpers import (create_nillion_client, - create_payments_config) -from py_nillion_client import NodeKey, UserKey +from nillion_client import (InputPartyBinding, Network, NilChainPayer, + NilChainPrivateKey, OutputPartyBinding, + Permissions, PrivateKey, SecretInteger, VmClient) from torch import nn from nada_ai.client import TorchClient @@ -43,45 +37,61 @@ load_dotenv(f"{home}/.config/nillion/nillion-devnet.env") -async def main(model_path: str, out_path: str) -> None: - """Main nada program""" - - cluster_id = os.getenv("NILLION_CLUSTER_ID") - grpc_endpoint = os.getenv("NILLION_NILCHAIN_GRPC") - chain_id = os.getenv("NILLION_NILCHAIN_CHAIN_ID") - seed = "my_seed" - model_provider_userkey = UserKey.from_seed((seed)) - model_provider_nodekey = NodeKey.from_seed((seed)) - model_provider_client = create_nillion_client( - model_provider_userkey, model_provider_nodekey +async def new_client(network, id: int, private_key: str = None): + # Create payments config and set up Nillion wallet with a private key to pay for operations + nilchain_key: str = os.getenv(f"NILLION_NILCHAIN_PRIVATE_KEY_{id}") # type: ignore + payer = NilChainPayer( + network, + wallet_private_key=NilChainPrivateKey(bytes.fromhex(nilchain_key)), + gas_limit=10000000, ) - model_provider_party_id = model_provider_client.party_id - model_provider_user_id = model_provider_client.user_id + # Use a random key to identify ourselves + signing_key = PrivateKey(private_key) + print(signing_key.private_key) + client = await VmClient.create(signing_key, network, payer) + return client + + +async def main( + model_path: str, out_path: str +) -> None: # Use the devnet configuration generated by `nillion-devnet` + network = Network.from_config("devnet") + + # WARNING: In a real use case, the Provider and User would never have access to the Private Key + # This is just for demonstration purposes + # Provider and User should only exchange their IDs + model_provider_name = "Provider" + model_provider = await new_client( + network, + 0, + b'\xbf\xdf7\xa9\x1eL\x10i"\xd8\x1f\xbb\xe8\r;\x1b`\x1a\xd1\xa1;\xef\xd8\xbbf|\xf9\x12\xe9\xef\x03\xc7', + ) + model_user_name = "User" + model_user = await new_client( + network, + 1, + b"\x15\xa0\xc1\xcc\x12\xb5r\xf9\xcb\x89\x95\x8d\x94\xfb\xfe)\xdf\xfe\xbd3\x00\x18\x80\xc1\xd9W\x8b\xf7\xc0\x92S\xe9", + ) program_name = "conv_net" - program_mir_path = f"target/{program_name}.nada.bin" + program_mir_path = f"./target/{program_name}.nada.bin" - payments_config = create_payments_config(chain_id, grpc_endpoint) - payments_client = LedgerClient(payments_config) - payments_wallet = LocalWallet( - PrivateKey(bytes.fromhex(os.getenv("NILLION_NILCHAIN_PRIVATE_KEY_0"))), - prefix="nillion", - ) + ##### STORE PROGRAM + print("-----STORE PROGRAM") - print("Storing program...") + # Store program + program_mir = open( + os.path.join(os.path.dirname(os.path.abspath(__file__)), program_mir_path), "rb" + ).read() + program_id = await model_provider.store_program(program_name, program_mir).invoke() - program_id = await store_program( - model_provider_client, - payments_wallet, - payments_client, - model_provider_user_id, - cluster_id, - program_name, - program_mir_path, - ) + # Print details about stored program + print(f"Stored program_id: {program_id}") - print("Program stored successfully!") + ##### STORE SECRETS + print("-----STORE SECRETS (MODEL)") + # Create a secret class MyNN(nn.Module): """My brand new model""" @@ -109,33 +119,29 @@ def forward(self, x: na.NadaArray) -> na.NadaArray: classifier.load_state_dict(torch.load(model_path)) model_client = TorchClient(classifier) - - model_secrets = nillion.NadaValues( - model_client.export_state_as_secrets("my_nn", na.SecretRational) + model_secrets = model_client.export_state_as_secrets("my_nn", na.SecretRational) + # Create a permissions object to attach to the stored secret + permissions = Permissions.defaults_for_user(model_provider.user_id).allow_compute( + model_user.user_id, program_id ) - permissions = nillion.Permissions.default_for_user(model_provider_client.user_id) - permissions.add_compute_permissions({model_provider_client.user_id: {program_id}}) - print("Storing model...") + # Store a secret, passing in the receipt that shows proof of payment + model_store_id = await model_provider.store_values( + model_secrets, ttl_days=5, permissions=permissions + ).invoke() - model_store_id = await store_secrets( - model_provider_client, - payments_wallet, - payments_client, - cluster_id, - model_secrets, - 1, - permissions, + print(f"Stored program with id: {program_id} {type(program_id)}") + print(f"Stored model with id: {model_store_id} {type(model_store_id)}") + print( + f"Stored model_provider_user_id with id: {model_provider.user_id} {type(model_provider.user_id)}" ) - print("Model stored successfully!") - # This information is needed by the model user with open(out_path, "w") as provider_variables_file: provider_variables = { - "program_id": program_id, - "model_store_id": model_store_id, - "model_provider_party_id": model_provider_party_id, + "program_id": str(program_id), + "model_store_id": model_store_id.hex, + "model_provider_user_id": str(model_provider.user_id), } json.dump(provider_variables, provider_variables_file) diff --git a/examples/conv_net/02_run_inference.py b/examples/conv_net/02_run_inference.py index 75c8040..e1d939e 100644 --- a/examples/conv_net/02_run_inference.py +++ b/examples/conv_net/02_run_inference.py @@ -1,27 +1,27 @@ """Run model inference""" -import os -import sys - -sys.path.append(os.path.abspath(os.path.join(os.getcwd(), os.pardir))) - import argparse import asyncio import json -import math +import os +import uuid import nada_numpy as na import nada_numpy.client as na_client import numpy as np -import py_nillion_client as nillion -from common.utils import compute, store_secret_array -from cosmpy.aerial.client import LedgerClient -from cosmpy.aerial.wallet import LocalWallet -from cosmpy.crypto.keypairs import PrivateKey +import pytest +import torch from dotenv import load_dotenv -from nillion_python_helpers import (create_nillion_client, - create_payments_config) -from py_nillion_client import NodeKey, UserKey +from nillion_client import (InputPartyBinding, Network, NilChainPayer, + NilChainPrivateKey, OutputPartyBinding, + Permissions, PrivateKey, SecretInteger, VmClient) +from nillion_client.ids import UserId +from torch import nn + +from nada_ai.client import TorchClient + +home = os.getenv("HOME") +load_dotenv(f"{home}/.config/nillion/nillion-devnet.env") PARSER = argparse.ArgumentParser() PARSER.add_argument( @@ -38,27 +38,42 @@ ) ARGS = PARSER.parse_args() -home = os.getenv("HOME") -load_dotenv(f"{home}/.config/nillion/nillion-devnet.env") +async def new_client(network, id: int, private_key: str = None): + # Create payments config and set up Nillion wallet with a private key to pay for operations + nilchain_key: str = os.getenv(f"NILLION_NILCHAIN_PRIVATE_KEY_{id}") # type: ignore + payer = NilChainPayer( + network, + wallet_private_key=NilChainPrivateKey(bytes.fromhex(nilchain_key)), + gas_limit=10000000, + ) + + # Use a random key to identify ourselves + signing_key = PrivateKey(private_key) + print(signing_key.private_key) + client = await VmClient.create(signing_key, network, payer) + return client + +# 1 Party running simple addition on 1 stored secret and 1 compute time secret async def main(features_path: str, in_path: str) -> None: """Main nada program""" - - cluster_id = os.getenv("NILLION_CLUSTER_ID") - grpc_endpoint = os.getenv("NILLION_NILCHAIN_GRPC") - chain_id = os.getenv("NILLION_NILCHAIN_CHAIN_ID") - seed = "my_seed" - model_user_userkey = UserKey.from_seed((seed)) - model_user_nodekey = NodeKey.from_seed((seed)) - model_user_client = create_nillion_client(model_user_userkey, model_user_nodekey) - model_user_party_id = model_user_client.party_id - - payments_config = create_payments_config(chain_id, grpc_endpoint) - payments_client = LedgerClient(payments_config) - payments_wallet = LocalWallet( - PrivateKey(bytes.fromhex(os.getenv("NILLION_NILCHAIN_PRIVATE_KEY_0"))), - prefix="nillion", + network = Network.from_config("devnet") + + # WARNING: In a real use case, the Provider and User would never have access to the Private Key + # This is just for demonstration purposes + # Provider and User should only exchange their IDs + model_provider_name = "Provider" + model_provider = await new_client( + network, + 0, + b'\xbf\xdf7\xa9\x1eL\x10i"\xd8\x1f\xbb\xe8\r;\x1b`\x1a\xd1\xa1;\xef\xd8\xbbf|\xf9\x12\xe9\xef\x03\xc7', + ) + model_user_name = "User" + model_user = await new_client( + network, + 1, + b"\x15\xa0\xc1\xcc\x12\xb5r\xf9\xcb\x89\x95\x8d\x94\xfb\xfe)\xdf\xfe\xbd3\x00\x18\x80\xc1\xd9W\x8b\xf7\xc0\x92S\xe9", ) # This information was provided by the model provider @@ -67,49 +82,65 @@ async def main(features_path: str, in_path: str) -> None: program_id = provider_variables["program_id"] model_store_id = provider_variables["model_store_id"] - model_provider_party_id = provider_variables["model_provider_party_id"] + model_store_id = uuid.UUID(hex=model_store_id) + model_provider_user_id = UserId.parse(provider_variables["model_provider_user_id"]) features = np.load(features_path) - permissions = nillion.Permissions.default_for_user(model_user_client.user_id) - permissions.add_compute_permissions({model_user_client.user_id: {program_id}}) + # Print details about stored program + print(f"Stored program_id: {program_id}") - print("Storing input data...") + ##### STORE SECRETS + print("-----STORE SECRETS Party 0") - features_store_id = await store_secret_array( - model_user_client, - payments_wallet, - payments_client, - cluster_id, - features, - "my_input", - na.SecretRational, - 1, - permissions, + # Create a secret + features = na_client.array(features, "my_input", na_client.SecretRational) + + # Create a permissions object to attach to the stored secret + permissions = Permissions.defaults_for_user(model_user.user_id).allow_compute( + model_user.user_id, program_id ) - print("Input data stored successfully!") + # Store a secret, passing in the receipt that shows proof of payment + features_store_id = await model_user.store_values( + features, ttl_days=5, permissions=permissions + ).invoke() - compute_bindings = nillion.ProgramBindings(program_id) + print("Stored features: ", features_store_id) - compute_bindings.add_input_party("Provider", model_provider_party_id) - compute_bindings.add_input_party("User", model_user_party_id) - compute_bindings.add_output_party("User", model_user_party_id) + ##### COMPUTE + print("-----COMPUTE") - result = await compute( - model_user_client, - payments_wallet, - payments_client, - program_id, - cluster_id, - compute_bindings, - [model_store_id, features_store_id], - nillion.NadaValues({}), - verbose=True, - ) + # Bind the parties in the computation to the client to set input and output parties + input_bindings = [ + InputPartyBinding(model_provider_name, model_provider_user_id), + InputPartyBinding(model_user_name, model_user.user_id), + ] + output_bindings = [OutputPartyBinding(model_user_name, [model_user.user_id])] + + # Create a computation time secret to use + compute_time_values = { + # "my_int2": SecretInteger(10) + } - logit = na_client.float_from_rational(result["my_output_0_0"]) - print("Computed logit is", logit) + # Compute, passing in the compute time values as well as the previously uploaded value. + print( + f"Invoking computation using program {program_id} and values id {model_store_id}, {features_store_id}" + ) + compute_id = await model_user.compute( + program_id, + input_bindings, + output_bindings, + values=compute_time_values, + value_ids=[model_store_id, features_store_id], + ).invoke() + + # Print compute result + print(f"The computation was sent to the network. compute_id: {compute_id}") + result = await model_user.retrieve_compute_results(compute_id).invoke() + print(f"✅ Compute complete for compute_id {compute_id}") + print(f"🖥️ The result is {result}") + return result if __name__ == "__main__": diff --git a/examples/linear_regression/main.py b/examples/linear_regression/main.py index f42b397..117353f 100644 --- a/examples/linear_regression/main.py +++ b/examples/linear_regression/main.py @@ -1,25 +1,17 @@ -"""Linear regression example""" - -import os -import sys - -sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__)))) +"""Dot Product example script""" import asyncio +import os import nada_numpy as na import nada_numpy.client as na_client import numpy as np -import py_nillion_client as nillion -from common.utils import compute, store_program, store_secrets +import torch from config import DIM -from cosmpy.aerial.client import LedgerClient -from cosmpy.aerial.wallet import LocalWallet -from cosmpy.crypto.keypairs import PrivateKey from dotenv import load_dotenv -from nillion_python_helpers import (create_nillion_client, - create_payments_config) -from py_nillion_client import NodeKey, UserKey +from nillion_client import (InputPartyBinding, Network, NilChainPayer, + NilChainPrivateKey, OutputPartyBinding, + Permissions, PrivateKey, SecretInteger, VmClient) from sklearn.linear_model import LinearRegression from nada_ai.client import SklearnClient @@ -28,42 +20,60 @@ load_dotenv(f"{home}/.config/nillion/nillion-devnet.env") -# Main asynchronous function to coordinate the process +async def new_client(network, id: int, private_key: str = None): + # Create payments config and set up Nillion wallet with a private key to pay for operations + nilchain_key: str = os.getenv(f"NILLION_NILCHAIN_PRIVATE_KEY_{id}") # type: ignore + payer = NilChainPayer( + network, + wallet_private_key=NilChainPrivateKey(bytes.fromhex(nilchain_key)), + gas_limit=10000000, + ) + + # Use a random key to identify ourselves + signing_key = PrivateKey(private_key) + print(signing_key.private_key) + client = await VmClient.create(signing_key, network, payer) + return client + + +# 1 Party running simple addition on 1 stored secret and 1 compute time secret async def main() -> None: """Main nada program""" + network = Network.from_config("devnet") + + # WARNING: In a real use case, the Provider and User would never have access to the Private Key + # This is just for demonstration purposes + # Provider and User should only exchange their IDs + model_provider_name = "Party0" + model_provider = await new_client( + network, + 0, + b'\xbf\xdf7\xa9\x1eL\x10i"\xd8\x1f\xbb\xe8\r;\x1b`\x1a\xd1\xa1;\xef\xd8\xbbf|\xf9\x12\xe9\xef\x03\xc7', + ) + model_user_name = "Party1" + model_user = await new_client( + network, + 1, + b"\x15\xa0\xc1\xcc\x12\xb5r\xf9\xcb\x89\x95\x8d\x94\xfb\xfe)\xdf\xfe\xbd3\x00\x18\x80\xc1\xd9W\x8b\xf7\xc0\x92S\xe9", + ) - cluster_id = os.getenv("NILLION_CLUSTER_ID") - grpc_endpoint = os.getenv("NILLION_NILCHAIN_GRPC") - chain_id = os.getenv("NILLION_NILCHAIN_CHAIN_ID") - seed = "my_seed" - userkey = UserKey.from_seed((seed)) - nodekey = NodeKey.from_seed((seed)) - client = create_nillion_client(userkey, nodekey) - party_id = client.party_id - user_id = client.user_id - - party_names = na_client.parties(2) program_name = "linear_regression" - program_mir_path = f"target/{program_name}.nada.bin" - - # Configure payments - payments_config = create_payments_config(chain_id, grpc_endpoint) - payments_client = LedgerClient(payments_config) - payments_wallet = LocalWallet( - PrivateKey(bytes.fromhex(os.getenv("NILLION_NILCHAIN_PRIVATE_KEY_0"))), - prefix="nillion", - ) + program_mir_path = f"./target/{program_name}.nada.bin" + + ##### STORE PROGRAM + print("-----STORE PROGRAM") # Store program - program_id = await store_program( - client, - payments_wallet, - payments_client, - user_id, - cluster_id, - program_name, - program_mir_path, - ) + program_mir = open( + os.path.join(os.path.dirname(os.path.abspath(__file__)), program_mir_path), "rb" + ).read() + program_id = await model_provider.store_program(program_name, program_mir).invoke() + + # Print details about stored program + print(f"Stored program_id: {program_id}") + + ##### STORE SECRETS + print("-----STORE SECRETS Party 0") # Train a linear regression X = np.random.randn(1_000, DIM) @@ -84,65 +94,70 @@ async def main() -> None: # Create and store model secrets via ModelClient model_client = SklearnClient(fit_model) - model_secrets = nillion.NadaValues( - model_client.export_state_as_secrets("my_model", na.SecretRational) - ) - permissions = nillion.Permissions.default_for_user(client.user_id) - permissions.add_compute_permissions({client.user_id: {program_id}}) - - model_store_id = await store_secrets( - client, - payments_wallet, - payments_client, - cluster_id, - model_secrets, - 1, - permissions, + model_secrets = model_client.export_state_as_secrets("my_model", na.SecretRational) + + print(model_secrets) + + # Create a permissions object to attach to the stored secret + permissions = Permissions.defaults_for_user(model_provider.user_id).allow_compute( + model_user.user_id, program_id ) - # Store inputs to perform inference for - my_input = na_client.array(np.ones((DIM,)), "my_input", na.SecretRational) - input_secrets = nillion.NadaValues(my_input) + # Store a secret, passing in the receipt that shows proof of payment + my_nn_store_id = await model_provider.store_values( + model_secrets, ttl_days=5, permissions=permissions + ).invoke() - data_store_id = await store_secrets( - client, - payments_wallet, - payments_client, - cluster_id, - input_secrets, - 1, - permissions, + print("-----STORE SECRETS Party 1") + + # Create a secret + my_input = na_client.array(np.ones((DIM,)), "my_input", na_client.SecretRational) + # Create a permissions object to attach to the stored secret + permissions = Permissions.defaults_for_user(model_user.user_id).allow_compute( + model_user.user_id, program_id ) - # Set up the compute bindings for the parties - compute_bindings = nillion.ProgramBindings(program_id) + # Store a secret, passing in the receipt that shows proof of payment + my_inputs_store_id = await model_user.store_values( + my_input, ttl_days=5, permissions=permissions + ).invoke() - for party_name in party_names: - compute_bindings.add_input_party(party_name, party_id) - compute_bindings.add_output_party(party_names[-1], party_id) + ##### COMPUTE + print("-----COMPUTE") - print(f"Computing using program {program_id}") - print(f"Use secret store_id: {model_store_id} {data_store_id}") + # Bind the parties in the computation to the client to set input and output parties + input_bindings = [ + InputPartyBinding(model_provider_name, model_provider.user_id), + InputPartyBinding(model_user_name, model_user.user_id), + ] + output_bindings = [OutputPartyBinding(model_user_name, [model_user.user_id])] # Create a computation time secret to use - computation_time_secrets = nillion.NadaValues({}) + compute_time_values = { + # "my_int2": SecretInteger(10) + } - # Compute, passing all params including the receipt that shows proof of payment - result = await compute( - client, - payments_wallet, - payments_client, - program_id, - cluster_id, - compute_bindings, - [model_store_id, data_store_id], - computation_time_secrets, - verbose=True, + # Compute, passing in the compute time values as well as the previously uploaded value. + print( + f"Invoking computation using program {program_id} and values id {my_nn_store_id}, {my_inputs_store_id}" ) - - # Rescale the obtained result by the quantization scale - outputs = [na_client.float_from_rational(result["my_output"])] - print(f"🖥️ The result is {outputs} @ {na.get_log_scale()}-bit precision") + compute_id = await model_user.compute( + program_id, + input_bindings, + output_bindings, + values=compute_time_values, + value_ids=[my_nn_store_id, my_inputs_store_id], + ).invoke() + + # Print compute result + print(f"The computation was sent to the network. compute_id: {compute_id}") + result = await model_user.retrieve_compute_results(compute_id).invoke() + + print( + f"✅ Compute complete for compute_id {compute_id}" + ) # Rescale the obtained result by the quantization scale + outputs = [na_client.float_from_rational(result["my_output"].value)] + print(f"🖥️ The result is {outputs} @ {na_client.get_log_scale()}-bit precision") expected = fit_model.predict(np.ones((DIM,)).reshape(1, -1)) print(f"🖥️ VS expected result {expected}") diff --git a/examples/neural_net/main.py b/examples/neural_net/main.py index 968d4b8..cf35d32 100644 --- a/examples/neural_net/main.py +++ b/examples/neural_net/main.py @@ -1,26 +1,16 @@ -"""Neural net example""" - -import os -import sys - -sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__)))) +"""Dot Product example script""" import asyncio +import os -import nada_numpy as na import nada_numpy.client as na_client import numpy as np -import py_nillion_client as nillion import torch -from common.utils import compute, store_program, store_secrets from config import DIM -from cosmpy.aerial.client import LedgerClient -from cosmpy.aerial.wallet import LocalWallet -from cosmpy.crypto.keypairs import PrivateKey from dotenv import load_dotenv -from nillion_python_helpers import (create_nillion_client, - create_payments_config) -from py_nillion_client import NodeKey, UserKey +from nillion_client import (InputPartyBinding, Network, NilChainPayer, + NilChainPrivateKey, OutputPartyBinding, + Permissions, PrivateKey, SecretInteger, VmClient) from nada_ai.client import TorchClient @@ -28,41 +18,60 @@ load_dotenv(f"{home}/.config/nillion/nillion-devnet.env") +async def new_client(network, id: int, private_key: str = None): + # Create payments config and set up Nillion wallet with a private key to pay for operations + nilchain_key: str = os.getenv(f"NILLION_NILCHAIN_PRIVATE_KEY_{id}") # type: ignore + payer = NilChainPayer( + network, + wallet_private_key=NilChainPrivateKey(bytes.fromhex(nilchain_key)), + gas_limit=10000000, + ) + + # Use a random key to identify ourselves + signing_key = PrivateKey(private_key) + print(signing_key.private_key) + client = await VmClient.create(signing_key, network, payer) + return client + + +# 1 Party running simple addition on 1 stored secret and 1 compute time secret async def main() -> None: """Main nada program""" + network = Network.from_config("devnet") + + # WARNING: In a real use case, the Provider and User would never have access to the Private Key + # This is just for demonstration purposes + # Provider and User should only exchange their IDs + model_provider_name = "Party0" + model_provider = await new_client( + network, + 0, + b'\xbf\xdf7\xa9\x1eL\x10i"\xd8\x1f\xbb\xe8\r;\x1b`\x1a\xd1\xa1;\xef\xd8\xbbf|\xf9\x12\xe9\xef\x03\xc7', + ) + model_user_name = "Party1" + model_user = await new_client( + network, + 1, + b"\x15\xa0\xc1\xcc\x12\xb5r\xf9\xcb\x89\x95\x8d\x94\xfb\xfe)\xdf\xfe\xbd3\x00\x18\x80\xc1\xd9W\x8b\xf7\xc0\x92S\xe9", + ) - cluster_id = os.getenv("NILLION_CLUSTER_ID") - grpc_endpoint = os.getenv("NILLION_NILCHAIN_GRPC") - chain_id = os.getenv("NILLION_NILCHAIN_CHAIN_ID") - seed = "my_seed" - userkey = UserKey.from_seed((seed)) - nodekey = NodeKey.from_seed((seed)) - client = create_nillion_client(userkey, nodekey) - party_id = client.party_id - user_id = client.user_id - - party_names = na_client.parties(2) program_name = "neural_net" - program_mir_path = f"target/{program_name}.nada.bin" - - # Configure payments - payments_config = create_payments_config(chain_id, grpc_endpoint) - payments_client = LedgerClient(payments_config) - payments_wallet = LocalWallet( - PrivateKey(bytes.fromhex(os.getenv("NILLION_NILCHAIN_PRIVATE_KEY_0"))), - prefix="nillion", - ) + program_mir_path = f"./target/{program_name}.nada.bin" + + ##### STORE PROGRAM + print("-----STORE PROGRAM") # Store program - program_id = await store_program( - client, - payments_wallet, - payments_client, - user_id, - cluster_id, - program_name, - program_mir_path, - ) + program_mir = open( + os.path.join(os.path.dirname(os.path.abspath(__file__)), program_mir_path), "rb" + ).read() + program_id = await model_provider.store_program(program_name, program_mir).invoke() + + # Print details about stored program + print(f"Stored program_id: {program_id}") + + ##### STORE SECRETS + print("-----STORE SECRETS Party 0") # Create custom torch Module class MyNN(torch.nn.Module): @@ -88,76 +97,67 @@ def forward(self, x: torch.tensor) -> torch.tensor: # Create and store model secrets via ModelClient model_client = TorchClient(my_nn) - model_secrets = nillion.NadaValues( - model_client.export_state_as_secrets("my_nn", na.SecretRational) - ) - permissions = nillion.Permissions.default_for_user(client.user_id) - permissions.add_compute_permissions({client.user_id: {program_id}}) - - model_store_id = await store_secrets( - client, - payments_wallet, - payments_client, - cluster_id, - model_secrets, - 1, - permissions, + model_secrets = model_client.export_state_as_secrets( + "my_nn", na_client.SecretRational ) - # Store inputs to perform inference for - my_input = na_client.array(np.ones((DIM,)), "my_input", na.SecretRational) - input_secrets = nillion.NadaValues(my_input) - - data_store_id = await store_secrets( - client, - payments_wallet, - payments_client, - cluster_id, - input_secrets, - 1, - permissions, + # Create a permissions object to attach to the stored secret + permissions = Permissions.defaults_for_user(model_provider.user_id).allow_compute( + model_user.user_id, program_id ) - # Set up the compute bindings for the parties - compute_bindings = nillion.ProgramBindings(program_id) + # Store a secret, passing in the receipt that shows proof of payment + my_nn_store_id = await model_provider.store_values( + model_secrets, ttl_days=5, permissions=permissions + ).invoke() - for party_name in party_names: - compute_bindings.add_input_party(party_name, party_id) - compute_bindings.add_output_party(party_names[-1], party_id) + print("-----STORE SECRETS Party 1") - print(f"Computing using program {program_id}") - print(f"Use secret store_id: {model_store_id} {data_store_id}") + # Create a secret + my_input = na_client.array(np.ones((DIM,)), "my_input", na_client.SecretRational) + # Create a permissions object to attach to the stored secret + permissions = Permissions.defaults_for_user(model_user.user_id).allow_compute( + model_user.user_id, program_id + ) - # Create a computation time secret to use - computation_time_secrets = nillion.NadaValues({}) + # Store a secret, passing in the receipt that shows proof of payment + my_inputs_store_id = await model_user.store_values( + my_input, ttl_days=5, permissions=permissions + ).invoke() - # Compute, passing all params including the receipt that shows proof of payment - result = await compute( - client, - payments_wallet, - payments_client, - program_id, - cluster_id, - compute_bindings, - [model_store_id, data_store_id], - computation_time_secrets, - verbose=True, - ) + ##### COMPUTE + print("-----COMPUTE") - # Sort & rescale the obtained results by the quantization scale - outputs = [ - na_client.float_from_rational(result[1]) - for result in sorted( - result.items(), - key=lambda x: int(x[0].replace("my_output", "").replace("_", "")), - ) + # Bind the parties in the computation to the client to set input and output parties + input_bindings = [ + InputPartyBinding(model_provider_name, model_provider.user_id), + InputPartyBinding(model_user_name, model_user.user_id), ] + output_bindings = [OutputPartyBinding(model_user_name, [model_user.user_id])] - print(f"🖥️ The processed result is {outputs} @ {na.get_log_scale()}-bit precision") - - expected = my_nn.forward(torch.ones((DIM,))).detach().numpy().tolist() + # Create a computation time secret to use + compute_time_values = { + # "my_int2": SecretInteger(10) + } - print(f"🖥️ VS expected result {expected}") + # Compute, passing in the compute time values as well as the previously uploaded value. + print( + f"Invoking computation using program {program_id} and values id {my_nn_store_id}, {my_inputs_store_id}" + ) + compute_id = await model_user.compute( + program_id, + input_bindings, + output_bindings, + values=compute_time_values, + value_ids=[my_nn_store_id, my_inputs_store_id], + ).invoke() + + # Print compute result + print(f"The computation was sent to the network. compute_id: {compute_id}") + result = await model_user.retrieve_compute_results(compute_id).invoke() + print(f"✅ Compute complete for compute_id {compute_id}") + print(f"🖥️ The result is {result}") + return result if __name__ == "__main__": diff --git a/examples/spam_detection/01_provide_model.py b/examples/spam_detection/01_provide_model.py index d262d15..c8136d9 100644 --- a/examples/spam_detection/01_provide_model.py +++ b/examples/spam_detection/01_provide_model.py @@ -1,25 +1,20 @@ """Provide model weights to program""" -import os -import sys - -sys.path.append(os.path.abspath(os.path.join(os.getcwd(), os.pardir))) - import argparse import asyncio import json +import os import joblib import nada_numpy as na -import py_nillion_client as nillion -from common.utils import store_program, store_secrets -from cosmpy.aerial.client import LedgerClient -from cosmpy.aerial.wallet import LocalWallet -from cosmpy.crypto.keypairs import PrivateKey +import nada_numpy.client as na_client +import numpy as np +import torch from dotenv import load_dotenv -from nillion_python_helpers import (create_nillion_client, - create_payments_config) -from py_nillion_client import NodeKey, UserKey +from nillion_client import (InputPartyBinding, Network, NilChainPayer, + NilChainPrivateKey, OutputPartyBinding, + Permissions, PrivateKey, SecretInteger, VmClient) +from torch import nn from nada_ai.client import SklearnClient @@ -42,75 +37,91 @@ load_dotenv(f"{home}/.config/nillion/nillion-devnet.env") -async def main(model_path: str, out_path: str) -> None: - """Main nada program""" - - cluster_id = os.getenv("NILLION_CLUSTER_ID") - grpc_endpoint = os.getenv("NILLION_NILCHAIN_GRPC") - chain_id = os.getenv("NILLION_NILCHAIN_CHAIN_ID") - seed = "my_seed" - model_provider_userkey = UserKey.from_seed((seed)) - model_provider_nodekey = NodeKey.from_seed((seed)) - model_provider_client = create_nillion_client( - model_provider_userkey, model_provider_nodekey +async def new_client(network, id: int, private_key: str = None): + # Create payments config and set up Nillion wallet with a private key to pay for operations + nilchain_key: str = os.getenv(f"NILLION_NILCHAIN_PRIVATE_KEY_{id}") # type: ignore + payer = NilChainPayer( + network, + wallet_private_key=NilChainPrivateKey(bytes.fromhex(nilchain_key)), + gas_limit=10000000, ) - model_provider_party_id = model_provider_client.party_id - model_provider_user_id = model_provider_client.user_id + # Use a random key to identify ourselves + signing_key = PrivateKey(private_key) + print(signing_key.private_key) + client = await VmClient.create(signing_key, network, payer) + return client + + +async def main( + model_path: str, out_path: str +) -> None: # Use the devnet configuration generated by `nillion-devnet` + network = Network.from_config("devnet") + + # WARNING: In a real use case, the Provider and User would never have access to the Private Key + # This is just for demonstration purposes + # Provider and User should only exchange their IDs + model_provider_name = "Provider" + model_provider = await new_client( + network, + 0, + b'\xbf\xdf7\xa9\x1eL\x10i"\xd8\x1f\xbb\xe8\r;\x1b`\x1a\xd1\xa1;\xef\xd8\xbbf|\xf9\x12\xe9\xef\x03\xc7', + ) + model_user_name = "User" + model_user = await new_client( + network, + 1, + b"\x15\xa0\xc1\xcc\x12\xb5r\xf9\xcb\x89\x95\x8d\x94\xfb\xfe)\xdf\xfe\xbd3\x00\x18\x80\xc1\xd9W\x8b\xf7\xc0\x92S\xe9", + ) program_name = "spam_detection" - program_mir_path = f"target/{program_name}.nada.bin" + program_mir_path = f"./target/{program_name}.nada.bin" - payments_config = create_payments_config(chain_id, grpc_endpoint) - payments_client = LedgerClient(payments_config) - payments_wallet = LocalWallet( - PrivateKey(bytes.fromhex(os.getenv("NILLION_NILCHAIN_PRIVATE_KEY_0"))), - prefix="nillion", - ) + ##### STORE PROGRAM + print("-----STORE PROGRAM") - print("Storing program...") + # Store program + program_mir = open( + os.path.join(os.path.dirname(os.path.abspath(__file__)), program_mir_path), "rb" + ).read() + program_id = await model_provider.store_program(program_name, program_mir).invoke() - program_id = await store_program( - model_provider_client, - payments_wallet, - payments_client, - model_provider_user_id, - cluster_id, - program_name, - program_mir_path, - ) + # Print details about stored program + print(f"Stored program_id: {program_id}") - print("Program stored successfully!") + ##### STORE SECRETS + print("-----STORE SECRETS (MODEL)") + # Create a secret classifier = joblib.load(model_path) model_client = SklearnClient(classifier) - model_secrets = nillion.NadaValues( - model_client.export_state_as_secrets("my_model", na.SecretRational) + model_secrets = model_client.export_state_as_secrets( + "my_model", na_client.SecretRational + ) + print(model_secrets) + # Create a permissions object to attach to the stored secret + permissions = Permissions.defaults_for_user(model_provider.user_id).allow_compute( + model_user.user_id, program_id ) - permissions = nillion.Permissions.default_for_user(model_provider_client.user_id) - permissions.add_compute_permissions({model_provider_client.user_id: {program_id}}) - print("Storing model...") + # Store a secret, passing in the receipt that shows proof of payment + model_store_id = await model_provider.store_values( + model_secrets, ttl_days=1, permissions=permissions + ).invoke() - model_store_id = await store_secrets( - model_provider_client, - payments_wallet, - payments_client, - cluster_id, - model_secrets, - 1, - permissions, + print(f"Stored program with id: {program_id} {type(program_id)}") + print(f"Stored model with id: {model_store_id} {type(model_store_id)}") + print( + f"Stored model_provider_user_id with id: {model_provider.user_id} {type(model_provider.user_id)}" ) - print("Model stored successfully!") - # This information is needed by the model user with open(out_path, "w") as provider_variables_file: provider_variables = { - "program_id": program_id, - "model_store_id": model_store_id, - "model_provider_party_id": model_provider_party_id, + "program_id": str(program_id), + "model_store_id": model_store_id.hex, + "model_provider_user_id": str(model_provider.user_id), } json.dump(provider_variables, provider_variables_file) diff --git a/examples/spam_detection/02_run_inference.py b/examples/spam_detection/02_run_inference.py index a988a0e..77361cd 100644 --- a/examples/spam_detection/02_run_inference.py +++ b/examples/spam_detection/02_run_inference.py @@ -1,27 +1,25 @@ """Run model inference""" -import os -import sys - -sys.path.append(os.path.abspath(os.path.join(os.getcwd(), os.pardir))) - import argparse import asyncio import json -import math +import os +import uuid import nada_numpy as na import nada_numpy.client as na_client import numpy as np -import py_nillion_client as nillion -from common.utils import compute, store_secret_array -from cosmpy.aerial.client import LedgerClient -from cosmpy.aerial.wallet import LocalWallet -from cosmpy.crypto.keypairs import PrivateKey +import pytest +import torch from dotenv import load_dotenv -from nillion_python_helpers import (create_nillion_client, - create_payments_config) -from py_nillion_client import NodeKey, UserKey +from nillion_client import (InputPartyBinding, Network, NilChainPayer, + NilChainPrivateKey, OutputPartyBinding, + Permissions, PrivateKey, SecretInteger, VmClient) +from nillion_client.ids import UserId +from torch import nn + +home = os.getenv("HOME") +load_dotenv(f"{home}/.config/nillion/nillion-devnet.env") PARSER = argparse.ArgumentParser() PARSER.add_argument( @@ -38,27 +36,42 @@ ) ARGS = PARSER.parse_args() -home = os.getenv("HOME") -load_dotenv(f"{home}/.config/nillion/nillion-devnet.env") + +async def new_client(network, id: int, private_key: str = None): + # Create payments config and set up Nillion wallet with a private key to pay for operations + nilchain_key: str = os.getenv(f"NILLION_NILCHAIN_PRIVATE_KEY_{id}") # type: ignore + payer = NilChainPayer( + network, + wallet_private_key=NilChainPrivateKey(bytes.fromhex(nilchain_key)), + gas_limit=10000000, + ) + + # Use a random key to identify ourselves + signing_key = PrivateKey(private_key) + print(signing_key.private_key) + client = await VmClient.create(signing_key, network, payer) + return client +# 1 Party running simple addition on 1 stored secret and 1 compute time secret async def main(features_path: str, in_path: str) -> None: """Main nada program""" - - cluster_id = os.getenv("NILLION_CLUSTER_ID") - grpc_endpoint = os.getenv("NILLION_NILCHAIN_GRPC") - chain_id = os.getenv("NILLION_NILCHAIN_CHAIN_ID") - seed = "my_seed" - model_user_userkey = UserKey.from_seed((seed)) - model_user_nodekey = NodeKey.from_seed((seed)) - model_user_client = create_nillion_client(model_user_userkey, model_user_nodekey) - model_user_party_id = model_user_client.party_id - - payments_config = create_payments_config(chain_id, grpc_endpoint) - payments_client = LedgerClient(payments_config) - payments_wallet = LocalWallet( - PrivateKey(bytes.fromhex(os.getenv("NILLION_NILCHAIN_PRIVATE_KEY_0"))), - prefix="nillion", + network = Network.from_config("devnet") + + # WARNING: In a real use case, the Provider and User would never have access to the Private Key + # This is just for demonstration purposes + # Provider and User should only exchange their IDs + model_provider_name = "Provider" + model_provider = await new_client( + network, + 0, + b'\xbf\xdf7\xa9\x1eL\x10i"\xd8\x1f\xbb\xe8\r;\x1b`\x1a\xd1\xa1;\xef\xd8\xbbf|\xf9\x12\xe9\xef\x03\xc7', + ) + model_user_name = "User" + model_user = await new_client( + network, + 1, + b"\x15\xa0\xc1\xcc\x12\xb5r\xf9\xcb\x89\x95\x8d\x94\xfb\xfe)\xdf\xfe\xbd3\x00\x18\x80\xc1\xd9W\x8b\xf7\xc0\x92S\xe9", ) # This information was provided by the model provider @@ -67,56 +80,65 @@ async def main(features_path: str, in_path: str) -> None: program_id = provider_variables["program_id"] model_store_id = provider_variables["model_store_id"] - model_provider_party_id = provider_variables["model_provider_party_id"] + model_store_id = uuid.UUID(hex=model_store_id) + model_provider_user_id = UserId.parse(provider_variables["model_provider_user_id"]) features = np.load(features_path) - permissions = nillion.Permissions.default_for_user(model_user_client.user_id) - permissions.add_compute_permissions({model_user_client.user_id: {program_id}}) + # Print details about stored program + print(f"Stored program_id: {program_id}") - print("Storing input data...") - - features_store_id = await store_secret_array( - model_user_client, - payments_wallet, - payments_client, - cluster_id, - features, - "my_input", - na.SecretRational, - 1, - permissions, - ) + ##### STORE SECRETS + print("-----STORE SECRETS Party 0") - print("Input data stored successfully!") + # Create a secret + features = na_client.array(features, "my_input", na_client.SecretRational) - compute_bindings = nillion.ProgramBindings(program_id) + # Create a permissions object to attach to the stored secret + permissions = Permissions.defaults_for_user(model_user.user_id).allow_compute( + model_user.user_id, program_id + ) - compute_bindings.add_input_party("Provider", model_provider_party_id) - compute_bindings.add_input_party("User", model_user_party_id) - compute_bindings.add_output_party("User", model_user_party_id) + # Store a secret, passing in the receipt that shows proof of payment + features_store_id = await model_user.store_values( + features, ttl_days=5, permissions=permissions + ).invoke() - result = await compute( - model_user_client, - payments_wallet, - payments_client, - program_id, - cluster_id, - compute_bindings, - [model_store_id, features_store_id], - nillion.NadaValues({}), - verbose=True, - ) + print("Stored features: ", features_store_id) - logit = na_client.float_from_rational(result["logit_0"]) - print("Computed logit is", logit) + ##### COMPUTE + print("-----COMPUTE") - def sigmoid(x): - return 1 / (1 + math.exp(-x)) + # Bind the parties in the computation to the client to set input and output parties + input_bindings = [ + InputPartyBinding(model_provider_name, model_provider_user_id), + InputPartyBinding(model_user_name, model_user.user_id), + ] + output_bindings = [OutputPartyBinding(model_user_name, [model_user.user_id])] - output_probability = sigmoid(logit) + # Create a computation time secret to use + compute_time_values = { + # "my_int2": SecretInteger(10) + } - print("Which corresponds to probability", output_probability) + # Compute, passing in the compute time values as well as the previously uploaded value. + print( + f"Invoking computation using program {program_id} and values id {model_store_id}, {features_store_id}" + ) + compute_id = await model_user.compute( + program_id, + input_bindings, + output_bindings, + values=compute_time_values, + value_ids=[model_store_id, features_store_id], + ).invoke() + + # Print compute result + print(f"The computation was sent to the network. compute_id: {compute_id}") + result = await model_user.retrieve_compute_results(compute_id).invoke() + print(f"✅ Compute complete for compute_id {compute_id}") + print(f"🖥️ The result is {result}") + return result if __name__ == "__main__": diff --git a/examples/time_series/main.py b/examples/time_series/main.py index b7981fe..026b5e5 100644 --- a/examples/time_series/main.py +++ b/examples/time_series/main.py @@ -1,164 +1,162 @@ -"""Time series forecasting example""" - -import os -import sys - -sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__)))) +"""Dot Product example script""" import asyncio +import os import nada_numpy as na import nada_numpy.client as na_client import numpy as np import pandas as pd -import py_nillion_client as nillion -from common.utils import compute, store_program, store_secrets from config import DIM, FORECAST_HORIZON -from cosmpy.aerial.client import LedgerClient -from cosmpy.aerial.wallet import LocalWallet -from cosmpy.crypto.keypairs import PrivateKey from dotenv import load_dotenv -from nillion_python_helpers import (create_nillion_client, - create_payments_config) +from nillion_client import (InputPartyBinding, Network, NilChainPayer, + NilChainPrivateKey, OutputPartyBinding, + Permissions, PrivateKey, SecretInteger, VmClient) from prophet import Prophet -from py_nillion_client import NodeKey, UserKey from nada_ai.client import ProphetClient home = os.getenv("HOME") load_dotenv(f"{home}/.config/nillion/nillion-devnet.env") -# Train prophet model -model = Prophet() -start_date = np.datetime64("2024-05-01") -end_date = start_date + DIM - 1 -ds = pd.date_range(start_date, end_date).tolist() -y = np.random.randint(-100, 100, (DIM,)).tolist() +async def new_client(network, id: int, private_key: str = None): + # Create payments config and set up Nillion wallet with a private key to pay for operations + nilchain_key: str = os.getenv(f"NILLION_NILCHAIN_PRIVATE_KEY_{id}") # type: ignore + payer = NilChainPayer( + network, + wallet_private_key=NilChainPrivateKey(bytes.fromhex(nilchain_key)), + gas_limit=10000000, + ) -fit_model = model.fit(df=pd.DataFrame({"ds": ds, "y": y})) -print("Model params are:", fit_model.params) -print("Number of detected changepoints:", fit_model.n_changepoints) + # Use a random key to identify ourselves + signing_key = PrivateKey(private_key) + print(signing_key.private_key) + client = await VmClient.create(signing_key, network, payer) + return client +# 1 Party running simple addition on 1 stored secret and 1 compute time secret async def main() -> None: """Main nada program""" + network = Network.from_config("devnet") + + # WARNING: In a real use case, the Provider and User would never have access to the Private Key + # This is just for demonstration purposes + # Provider and User should only exchange their IDs + model_provider_name = "Party0" + model_provider = await new_client( + network, + 0, + b'\xbf\xdf7\xa9\x1eL\x10i"\xd8\x1f\xbb\xe8\r;\x1b`\x1a\xd1\xa1;\xef\xd8\xbbf|\xf9\x12\xe9\xef\x03\xc7', + ) + model_user_name = "Party1" + model_user = await new_client( + network, + 1, + b"\x15\xa0\xc1\xcc\x12\xb5r\xf9\xcb\x89\x95\x8d\x94\xfb\xfe)\xdf\xfe\xbd3\x00\x18\x80\xc1\xd9W\x8b\xf7\xc0\x92S\xe9", + ) - cluster_id = os.getenv("NILLION_CLUSTER_ID") - grpc_endpoint = os.getenv("NILLION_NILCHAIN_GRPC") - chain_id = os.getenv("NILLION_NILCHAIN_CHAIN_ID") - seed = "my_seed" - userkey = UserKey.from_seed((seed)) - nodekey = NodeKey.from_seed((seed)) - client = create_nillion_client(userkey, nodekey) - party_id = client.party_id - user_id = client.user_id - - party_names = na_client.parties(2) program_name = "time_series" - program_mir_path = f"target/{program_name}.nada.bin" - - # Configure payments - payments_config = create_payments_config(chain_id, grpc_endpoint) - payments_client = LedgerClient(payments_config) - payments_wallet = LocalWallet( - PrivateKey(bytes.fromhex(os.getenv("NILLION_NILCHAIN_PRIVATE_KEY_0"))), - prefix="nillion", - ) + program_mir_path = f"./target/{program_name}.nada.bin" + + ##### STORE PROGRAM + print("-----STORE PROGRAM") # Store program - program_id = await store_program( - client, - payments_wallet, - payments_client, - user_id, - cluster_id, - program_name, - program_mir_path, - ) + program_mir = open( + os.path.join(os.path.dirname(os.path.abspath(__file__)), program_mir_path), "rb" + ).read() + program_id = await model_provider.store_program(program_name, program_mir).invoke() + + # Print details about stored program + print(f"Stored program_id: {program_id}") + + ##### STORE SECRETS + print("-----STORE SECRETS Party 0") + + # Train prophet model + model = Prophet() + start_date = np.datetime64("2024-05-01") + end_date = start_date + DIM - 1 + ds = pd.date_range(start_date, end_date).tolist() + + y = np.random.randint(-100, 100, (DIM,)).tolist() + + fit_model = model.fit(df=pd.DataFrame({"ds": ds, "y": y})) + print("Model params are:", fit_model.params) + print("Number of detected changepoints:", fit_model.n_changepoints) # Create and store model secrets via ModelClient model_client = ProphetClient(fit_model) - model_secrets = nillion.NadaValues( - model_client.export_state_as_secrets("my_prophet", na.SecretRational) + model_secrets = model_client.export_state_as_secrets( + "my_prophet", na_client.SecretRational ) - permissions = nillion.Permissions.default_for_user(client.user_id) - permissions.add_compute_permissions({client.user_id: {program_id}}) - - model_store_id = await store_secrets( - client, - payments_wallet, - payments_client, - cluster_id, - model_secrets, - 1, - permissions, + + # Create a permissions object to attach to the stored secret + permissions = Permissions.defaults_for_user(model_provider.user_id).allow_compute( + model_user.user_id, program_id ) - # Store inputs to perform inference for + # Store a secret, passing in the receipt that shows proof of payment + my_nn_store_id = await model_provider.store_values( + model_secrets, ttl_days=5, permissions=permissions + ).invoke() + + print("-----STORE SECRETS Party 1") + + # Create a secret future_df = fit_model.make_future_dataframe(periods=FORECAST_HORIZON) inference_ds = fit_model.setup_dataframe(future_df.copy()) - my_input = {} my_input.update( na_client.array(inference_ds["floor"].to_numpy(), "floor", na.SecretRational) ) my_input.update( na_client.array(inference_ds["t"].to_numpy(), "t", na.SecretRational) + ) # Create a permissions object to attach to the stored secret + permissions = Permissions.defaults_for_user(model_user.user_id).allow_compute( + model_user.user_id, program_id ) - input_secrets = nillion.NadaValues(my_input) - - data_store_id = await store_secrets( - client, - payments_wallet, - payments_client, - cluster_id, - input_secrets, - 1, - permissions, - ) - - # Set up the compute bindings for the parties - compute_bindings = nillion.ProgramBindings(program_id) + # Store a secret, passing in the receipt that shows proof of payment + my_inputs_store_id = await model_user.store_values( + my_input, ttl_days=5, permissions=permissions + ).invoke() - for party_name in party_names: - compute_bindings.add_input_party(party_name, party_id) - compute_bindings.add_output_party(party_names[-1], party_id) + ##### COMPUTE + print("-----COMPUTE") - print(f"Computing using program {program_id}") - print(f"Use secret store_id: {model_store_id} {data_store_id}") + # Bind the parties in the computation to the client to set input and output parties + input_bindings = [ + InputPartyBinding(model_provider_name, model_provider.user_id), + InputPartyBinding(model_user_name, model_user.user_id), + ] + output_bindings = [OutputPartyBinding(model_user_name, [model_user.user_id])] # Create a computation time secret to use - computation_time_secrets = nillion.NadaValues({}) + compute_time_values = { + # "my_int2": SecretInteger(10) + } - # Compute, passing all params including the receipt that shows proof of payment - result = await compute( - client, - payments_wallet, - payments_client, - program_id, - cluster_id, - compute_bindings, - [model_store_id, data_store_id], - computation_time_secrets, - verbose=True, + # Compute, passing in the compute time values as well as the previously uploaded value. + print( + f"Invoking computation using program {program_id} and values id {my_nn_store_id}, {my_inputs_store_id}" ) - - # Sort & rescale the obtained results by the quantization scale - outputs = [ - na_client.float_from_rational(result[1]) - for result in sorted( - result.items(), - key=lambda x: int(x[0].replace("my_output", "").replace("_", "")), - ) - ] - - print(f"🖥️ The processed result is {outputs} @ {na.get_log_scale()}-bit precision") - - expected = fit_model.predict(inference_ds)["yhat"].to_numpy() - - print(f"🖥️ VS expected result {expected}") + compute_id = await model_user.compute( + program_id, + input_bindings, + output_bindings, + values=compute_time_values, + value_ids=[my_nn_store_id, my_inputs_store_id], + ).invoke() + + # Print compute result + print(f"The computation was sent to the network. compute_id: {compute_id}") + result = await model_user.retrieve_compute_results(compute_id).invoke() + print(f"✅ Compute complete for compute_id {compute_id}") + print(f"🖥️ The result is {result}") + return result if __name__ == "__main__": diff --git a/nada_ai/nn/modules/conv.py b/nada_ai/nn/modules/conv.py index 3e43761..d234fff 100644 --- a/nada_ai/nn/modules/conv.py +++ b/nada_ai/nn/modules/conv.py @@ -14,7 +14,7 @@ class Conv2d(Module): """Conv2D layer implementation""" - # pylint: disable=too-many-arguments + # pylint: disable=too-many-arguments disable=too-many-positional-arguments def __init__( self, in_channels: int, diff --git a/nada_ai/time_series/prophet.py b/nada_ai/time_series/prophet.py index 8e16560..9c61167 100644 --- a/nada_ai/time_series/prophet.py +++ b/nada_ai/time_series/prophet.py @@ -15,7 +15,7 @@ class Prophet(Module): # pylint:disable=too-many-instance-attributes """Prophet forecasting implementation""" - # pylint:disable=too-many-arguments + # pylint: disable=too-many-arguments disable=too-many-positional-arguments def __init__( self, n_changepoints: int, diff --git a/poetry.lock b/poetry.lock index 30e0548..301d43d 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,14 +1,14 @@ -# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.8.4 and should not be changed by hand. 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python-versions = "^3.10" -content-hash = "e6ee12b7e685deb23469eb869a6e8d0268720059ab4523f9b4e39bbbef8ba62e" +content-hash = "dbf2208e919ebdd8dbfa2657e9a457adca9be44f8613a34f4df11a8bfc41a781" diff --git a/pyproject.toml b/pyproject.toml index 72af4fe..94a5dc1 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "nada-ai" -version = "0.5.0" +version = "0.6.0" description = "Nada-AI is a Python library designed for AI/ML on top of Nada DSL and Nillion Network." authors = ["Mathias Leys "] readme = "README.md" @@ -10,10 +10,8 @@ python = "^3.10" torch = "^2.0.0" scikit-learn = "^1.4.2" prophet = "^1.1.5" -nillion-python-helpers = "^0.2.3" -nada-numpy="^0.5.0" -nada-dsl="^0.6.0" -py-nillion-client="^0.6.0" +nada-numpy = "^0.6.0" +nillion-python-helpers = "^0.3.1" torchvision = {version="^0.18.1", optional=true} black = {version="^24.4.2", optional=true} isort = {version="^5.13.2", optional=true} diff --git a/tests/nada-tests/src/load_state.py 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