From 6751636a996923971b5713deb82d489dc50d3f83 Mon Sep 17 00:00:00 2001 From: Max Nigmatulin Date: Fri, 4 Aug 2023 13:02:14 +0300 Subject: [PATCH] Upd new model code --- VSharp.ML.AIAgent/common/constants.py | 8 ++------ VSharp.ML.AIAgent/config.py | 6 +++++- .../connection/broker_conn/requests.py | 2 +- VSharp.ML.AIAgent/main.py | 15 +++++++++++---- .../GNN_state_pred_het_dict_compact.zip | Bin 0 -> 153392 bytes .../GNN_state_pred_het_full_compact.zip | Bin 0 -> 166256 bytes VSharp.ML.AIAgent/ml/utils.py | 7 +++++++ 7 files changed, 26 insertions(+), 12 deletions(-) create mode 100644 VSharp.ML.AIAgent/ml/imported/GNN_state_pred_het_dict_compact.zip create mode 100644 VSharp.ML.AIAgent/ml/imported/GNN_state_pred_het_full_compact.zip diff --git a/VSharp.ML.AIAgent/common/constants.py b/VSharp.ML.AIAgent/common/constants.py index 899866c9a..39e06ca4c 100644 --- a/VSharp.ML.AIAgent/common/constants.py +++ b/VSharp.ML.AIAgent/common/constants.py @@ -11,12 +11,8 @@ def _build_bar_format() -> str: return f"{custom_left} {custom_bar} - {custom_info}" -IMPORTED_FULL_MODEL_PATH = Path( - "ml/imported/GNN_state_pred_het_full_TAGConv_20e_2xAll_10h" -) -IMPORTED_DICT_MODEL_PATH = Path( - "ml/imported/GNN_state_pred_het_dict_TAGConv_20e_2xAll_10h" -) +IMPORTED_FULL_MODEL_PATH = Path("ml/imported/GNN_state_pred_het_full_compact.zip") +IMPORTED_DICT_MODEL_PATH = Path("ml/imported/GNN_state_pred_het_dict_compact.zip") BASE_REPORT_DIR = Path("./report") TABLES_LOG_FILE = BASE_REPORT_DIR / "tables.log" diff --git a/VSharp.ML.AIAgent/config.py b/VSharp.ML.AIAgent/config.py index 69fdd7229..2f80fe77e 100644 --- a/VSharp.ML.AIAgent/config.py +++ b/VSharp.ML.AIAgent/config.py @@ -6,6 +6,7 @@ import torch import ml.model_modified +import ml.models class GeneralConfig: @@ -14,9 +15,12 @@ class GeneralConfig: NUM_PARENTS_MATING = 2 KEEP_ELITISM = None NUM_SOLUTIONS = None - MAX_STEPS = 100 + MAX_STEPS = 3000 MUTATION_PERCENT_GENES = 4 LOGGER_LEVEL = logging.INFO + IMPORT_MODEL_INIT = lambda: ml.models.StateModelEncoder( + hidden_channels=64, out_channels=8 + ) MODEL_INIT = lambda: ml.model_modified.StateModelEncoderExport( hidden_channels=64, out_channels=8 ) diff --git a/VSharp.ML.AIAgent/connection/broker_conn/requests.py b/VSharp.ML.AIAgent/connection/broker_conn/requests.py index 04984c141..924bcbac9 100644 --- a/VSharp.ML.AIAgent/connection/broker_conn/requests.py +++ b/VSharp.ML.AIAgent/connection/broker_conn/requests.py @@ -10,7 +10,7 @@ def acquire_instance() -> ServerInstanceInfo: response, content = httplib2.Http().request(WebsocketSourceLinks.GET_WS) - aquired_instance = ServerInstanceInfo.from_json(content.decode("utf-8")) + aquired_instance = ServerInstanceInfo.from_json(json.loads(content.decode("utf-8"))) logging.info(f"acquired ws: {aquired_instance}") return aquired_instance diff --git a/VSharp.ML.AIAgent/main.py b/VSharp.ML.AIAgent/main.py index 3dde7cc4a..a71ddb43d 100644 --- a/VSharp.ML.AIAgent/main.py +++ b/VSharp.ML.AIAgent/main.py @@ -1,11 +1,13 @@ import learning.entry_point as ga import ml.onnx.onnx_import +from common.constants import IMPORTED_DICT_MODEL_PATH from config import GeneralConfig from learning.selection.crossover_type import CrossoverType from learning.selection.mutation_type import MutationType from learning.selection.parent_selection_type import ParentSelectionType from ml.utils import ( create_population, + load_model, model_weights_with_last_layer, model_weights_with_random_last_layer, ) @@ -16,9 +18,10 @@ def main(): model.forward(*ml.onnx.onnx_import.create_torch_dummy_input()) - random_population = create_population(lo=-5, hi=5, model=model, population_size=4) + random_population = create_population(lo=-5, hi=5, model=model, population_size=60) with_random_last_layer = [ - model_weights_with_random_last_layer(lo=-1, hi=1, model=model) for _ in range(2) + model_weights_with_random_last_layer(lo=-1, hi=1, model=model) + for _ in range(18) ] with_last_layer1 = model_weights_with_last_layer( [ @@ -31,7 +34,9 @@ def main(): 0.95478059636744, 0.27937866719070503, ], - model, + load_model( + path=IMPORTED_DICT_MODEL_PATH, model=GeneralConfig.IMPORT_MODEL_INIT() + ), ) with_last_layer2 = model_weights_with_last_layer( [ @@ -44,7 +49,9 @@ def main(): 0.9555442824877577, 0.2793786892860371, ], - model, + load_model( + path=IMPORTED_DICT_MODEL_PATH, model=GeneralConfig.IMPORT_MODEL_INIT() + ), ) initial_population = [ diff --git a/VSharp.ML.AIAgent/ml/imported/GNN_state_pred_het_dict_compact.zip b/VSharp.ML.AIAgent/ml/imported/GNN_state_pred_het_dict_compact.zip new file mode 100644 index 0000000000000000000000000000000000000000..8d45e5afc2b2b15dbdc2e73d30f869b59a31aa73 GIT binary patch literal 153392 zcmbrl2{@JO+y8BdL`9S`WJ-gSS%v$$R>_#Clp&2OMVXe+Af-g6h(wV{niCSqy3g~b ziPE4lrVp0f>uFrYi-|M=sdChhZ?))$qJw4!TKvagFW>E*ZA64QW1~;Uylf}<;w$n zeZ7_k`vmx}m7W!}!b=#*N*F|%FQVhj7aiw5LYP`#5?=nx1BBn}Ef4SyHPlXt}rEl8|5@-?h?9g1nZ6`1r0^671!_HXvw8sF5^ZeB3zq{(mq6f;?Aw@%#1t 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model.eval() + return model + + def model_weights_with_last_layer( last_layer_weights: list[float], model: ml.models.StateGNNEncoderConvEdgeAttr ) -> npt.NDArray: