From 39440c1cf0acbc7b0dc6e2843818f7f4991a3ea7 Mon Sep 17 00:00:00 2001 From: Aditi Raju Date: Fri, 23 Jun 2023 19:10:55 -0400 Subject: [PATCH] add aco to astrasim --- aco/DeepSwarm/deepswarm/backends.py | 195 +++++++++++++++++++++++++++- arch_gym/envs/AstraSimEnv.py | 17 ++- settings/default_astrasim.yaml | 98 ++++++++++++++ 3 files changed, 300 insertions(+), 10 deletions(-) create mode 100644 settings/default_astrasim.yaml diff --git a/aco/DeepSwarm/deepswarm/backends.py b/aco/DeepSwarm/deepswarm/backends.py index f018e543..9769c21c 100644 --- a/aco/DeepSwarm/deepswarm/backends.py +++ b/aco/DeepSwarm/deepswarm/backends.py @@ -13,6 +13,7 @@ from arch_gym.envs.timeloop_acme_wrapper import make_timeloop_env from arch_gym.envs.dramsys_wrapper import make_dramsys_env from arch_gym.envs.maestero_wrapper import make_maestro_env +from arch_gym.envs.AstraSimWrapper import make_astraSim_env from arch_gym.envs.SniperEnv import SniperEnv from arch_gym.envs.DRAMEnv import DRAMEnv from arch_gym.envs.envHelpers import helpers @@ -141,6 +142,43 @@ def free_gpu(self): """Frees GPU memory.""" +class AstraSimBackend(BaseBackend): + + def __init__(self, dataset=None, optimizer=None, exp_name=None, traject_dir=None, + log_dir=None, reward_formulation=None, use_envlogger=False): + super().__init__(dataset, optimizer) + self.exp_name = exp_name + self.traject_dir = traject_dir + self.log_dir = log_dir + self.reward_formulation = reward_formulation + self.use_envlogger = use_envlogger + + def generate_model(self, path): + return DummyAstraSim(path, self.exp_name, self.traject_dir, self.log_dir, self.reward_formulation, self.use_envlogger) + + def reuse_model(self, old_model, new_model_path, distance): + return DummyAstraSim(new_model_path, self.exp_name, self.traject_dir, self.log_dir, self.reward_formulation, self.use_envlogger) + + def train_model(self, model): + return model + + def fully_train_model(self, model, epochs, augment): + return model + + def evaluate_model(self, model): + value = model.fit(self.dataset.x_train) + return (value, value) + + def save_model(self, model, path): + return + + def load_model(self, path): + return + + def free_gpu(self): + return + + class DRAMSysBackend(BaseBackend): """Backend based on DRAMSys API""" @@ -298,6 +336,155 @@ def calculate_reward(self, obs): # for now, just return the runtime return obs[0] + + +class DummyAstraSim(): + """Dummy placeholder for DRAMSys to do POC""" + def __init__(self, path, exp_name, traject_dir, log_dir, reward_formulation, use_envlogger): + self.env = SniperEnv() + self.helper = helpers() + self.fitness_hist = {} + + self.traject_dir = traject_dir + self.log_dir = log_dir + self.exp_name = exp_name + self.reward_formulation = reward_formulation + self.use_envlogger = use_envlogger + + self.action_dict = {"system": {}, "network": {}} + self.action_dict["network"]["topology-name"] = "Hierarchical" + self.action_dict["network"]["topologies-per-dim"] = ["Ring", "Ring", "Ring"] + self.action_dict["network"]["dimension-type"] = ["N", "N", "N"] + # DIMENSION COUNT MUST BE SET TO 3 FOR NOW + self.action_dict["network"]["dimensions-count"] = 3 + self.action_dict["network"]["units-count"] = [4, 4, 4] + self.action_dict["network"]["link-latency"] = [1, 1, 1] + self.action_dict["network"]["link-bandwidth"] = [32, 16, 16] + self.action_dict["network"]["nic-latency"] = [0, 0, 0] + self.action_dict["network"]["router-latency"] = [0, 0, 0] + self.action_dict["network"]["hbm-latency"] = [500, 500, 500] + self.action_dict["network"]["hbm-bandwidth"] = [370, 370, 370] + self.action_dict["network"]["hbm-scale"] = [0, 0, 0] + self.action_dict["network"]["links-count"] = [2, 2, 2] + + # system attributes + self.action_dict["system"]["scheduling-policy"] = "LIFO" + self.action_dict["system"]["endpoint-delay"] = 1 + self.action_dict["system"]["active-chunks-per-dimension"] = 1 + self.action_dict["system"]["preferred-dataset-splits"] = 4 + self.action_dict["system"]["boost-mode"] = 0 + + self.action_dict["system"]["all-reduce-implementation"] = "ring_ring_ring" + self.action_dict["system"]["all-gather-implementation"] = "ring_ring_ring" + self.action_dict["system"]["reduce-scatter-implementation"] = "ring_ring_ring" + self.action_dict["system"]["all-to-all-implementation"] = "ring_ring_ring" + self.action_dict["system"]["collective-optimization"] = "baseline" + + self.links_count = {"Ring": 2, "FullyConnected": 7, "Switch": 1} + + for node in path: + if hasattr(node, "topology-name"): + + self.action_dict["network"]["topology-name"] = node.topologyName + self.action_dict["network"]["topologies-per-dim"] = [node.topologiesPerDim1, node.topologiesPerDim2, node.topologiesPerDim3] + self.action_dict["network"]["dimension-type"] = [node.dimensionType, node.dimensionType, node.dimensionType] + # ADD CHECK HERE FOR DIMENSION COUNT + self.action_dict["network"]["dimensions-count"] = node.dimensionsCount + self.action_dict["network"]["units-count"] = [node.unitsCount1, node.unitsCount2, node.unitsCount3] + + self.action_dict["network"]["link-latency"] = [node.linkLatency1, node.linkLatency2, node.linkLatency3] + self.action_dict["network"]["linkBandwidth1"] = [node.linkBandwidth1, node.linkBandwidth2, node.linkBandwidth3] + self.action_dict["network"]["nic-latency"] = [node.nicLatency1, node.nicLatency2, node.nicLatency3] + self.action_dict["network"]["router-latency"] = [node.routerLatency1, node.routerLatency2, node.routerLatency3] + self.action_dict["network"]["hbm-latency"] = [node.hbmLatency1, node.hbmLatency2, node.hbmLatency3] + self.action_dict["network"]["hbm-bandwidth"] = [node.hbmBandwidth1, node.hbmBandwidth2, node.hbmBandwidth3] + self.action_dict["network"]["hbm-scale"] = [node.hbmScale1, node.hbmScale2, node.hbmScale3] + + # Need to map links-count to topology + self.action_dict["network"]["links-count"] = [self.links_count[self.action_dict["network"]["topologies-per-dim"][i]] + for i in range(self.action_dict["network"]["dimensions-count"])] + + # system attributes + self.action_dict["system"]["scheduling-policy"] = node.schedulingPolicy + self.action_dict["system"]["endpoint-delay"] = node.endpointDelay + self.action_dict["system"]["active-chunks-per-dimension"] = node.activeChunksPerDimension + self.action_dict["system"]["preferred-dataset-splits"] = node.preferredDatasetSplits + self.action_dict["system"]["boost-mode"] = node.boostMode + + self.action_dict["system"]["all-reduce-implementation"] = f"{node.allReduceImplementation1}_{node.allReduceImplementation2}_{node.allReduceImplementation3}" + self.action_dict["system"]["all-gather-implementation"] = f"{node.allGatherImplementation1}_{node.allGatherImplementation2}_{node.allGatherImplementation3}" + self.action_dict["system"]["reduce-scatter-implementation"] = f"{node.reduceScatterImplementation1}_{node.reduceScatterImplementation2}_{node.reduceScatterImplementation3}" + self.action_dict["system"]["all-to-all-implementation"] = f"{node.allToAllImplementation1}_{node.allToAllImplementation2}_{node.allToAllImplementation3}" + + self.action_dict["system"]["collective-optimization"] = node.collectiveOptimization + + + # ADD ENVLOGGER STUFF (SEE BELOW) + + # Fit function = step function + # Environment already calculates reward so don't need calc_reward + def wrap_in_envlogger(self, env, envlogger_dir, use_envlogger): + metadata = { + 'agent_type': 'ACO', + 'env_type': type(env).__name__, + } + if use_envlogger == True: + logging.info('Wrapping environment with EnvironmentLogger...') + env = envlogger.EnvLogger(env, + data_directory=envlogger_dir, + max_episodes_per_file=1000, + metadata=metadata) + logging.info('Done wrapping environment with EnvironmentLogger.') + return env + else: + print("Not using envlogger") + return env + + def fit(self, X, y=None): + ''' + This is the function that is called by the optimizer. ACO by defaul tries to minimize the fitness function. + If you have a fitness function that you want to maximize, you can simply return the negative of the fitness function. + ''' + + env_wrapper = make_astraSim_env(reward_formulation = self.reward_formulation, rl_form = "aco") + + if self.use_envlogger: + # check if trajectory directory exists + if not os.path.exists(self.traject_dir): + os.makedirs(self.traject_dir) + + # check if log directory exists + if not os.path.exists(self.log_dir): + os.makedirs(self.log_dir) + + env = self.wrap_in_envlogger(env_wrapper, self.traject_dir, self.use_envlogger) + env.reset() + + step_type, reward, discount, info = env.step(self.action_dict) + + self.fitness_hist['reward'] = reward + self.fitness_hist['action_dict'] = self.action_dict + self.fitness_hist['obs'] = info + + print("Reward: ", reward) + print("Action Dict: ", self.action_dict) + print("Info: ", info) + + self.log_fitness_to_csv() + return -1 * reward + + + def log_fitness_to_csv(self): + df_traj = pd.DataFrame([self.fitness_hist]) + filename = os.path.join(self.log_dir, self.exp_name + "_traj.csv") + df_traj.to_csv(filename, + index=False, header=False, mode='a') + + df_rewards = pd.DataFrame([self.fitness_hist['reward']]) + filename = os.path.join(self.log_dir, self.exp_name + "_rewards.csv") + df_rewards.to_csv(filename, + index=False, header=False, mode='a') + class DummyDRAMSys(): @@ -351,7 +538,7 @@ def wrap_in_envlogger(self, env, envlogger_dir, use_envlogger): 'agent_type': 'RandomWalker', 'env_type': type(env).__name__, } - if use_envlogger == 'True': + if use_envlogger == True: logging.info('Wrapping environment with EnvironmentLogger...') env = envlogger.EnvLogger(env, data_directory=envlogger_dir, @@ -557,7 +744,7 @@ def wrap_in_envlogger(self, env, envlogger_dir, use_envlogger): 'agent_type': 'ACO', 'env_type': type(env).__name__, } - if use_envlogger == 'True': + if use_envlogger == True: logging.info('Wrapping environment with EnvironmentLogger...') env = envlogger.EnvLogger(env, data_directory=envlogger_dir, @@ -744,7 +931,7 @@ def wrap_in_envlogger(self, env, envlogger_dir, use_envlogger): 'agent_type': 'ACO', 'env_type': type(env).__name__, } - if use_envlogger == 'True': + if use_envlogger == True: logging.info('Wrapping environment with EnvironmentLogger...') env = envlogger.EnvLogger(env, data_directory=envlogger_dir, @@ -971,7 +1158,7 @@ def wrap_in_envlogger(self, env, envlogger_dir, use_envlogger): 'agent_type': 'ACO', 'env_type': type(env).__name__, } - if use_envlogger == 'True': + if use_envlogger == True: logging.info('Wrapping environment with EnvironmentLogger...') env = envlogger.EnvLogger(env, data_directory=envlogger_dir, diff --git a/arch_gym/envs/AstraSimEnv.py b/arch_gym/envs/AstraSimEnv.py index 872cb01a..0a3dafd9 100644 --- a/arch_gym/envs/AstraSimEnv.py +++ b/arch_gym/envs/AstraSimEnv.py @@ -116,7 +116,16 @@ def calculate_reward(self, observations): return 1 / (sum ** 0.5) # give it one action: one set of parameters from json file - def step(self, action): + def step(self, action_dict): + + # write the three config files + with open(self.network_config, "w") as outfile: + outfile.write(json.dumps(action_dict['network'], indent=4)) + + with open(self.system_config, 'w') as file: + for key, value in action_dict["system"].items(): + file.write(f'{key}: {value}\n') + # the action is actually the parsed parameter files print("Step: " + str(self.counter)) if (self.counter == self.max_steps): @@ -127,11 +136,7 @@ def step(self, action): self.counter += 1 # start subrpocess to run the simulation - exe_final = self.exe_path - network_config = self.network_config - system_config = self.system_config - workload_config = self.workload_config - process = subprocess.Popen([exe_final, network_config, system_config, workload_config], + process = subprocess.Popen([self.exe_path, self.network_config, self.system_config, self.workload_config], stdout=subprocess.PIPE, stderr=subprocess.PIPE) # get the output diff --git a/settings/default_astrasim.yaml b/settings/default_astrasim.yaml new file mode 100644 index 00000000..283f7db7 --- /dev/null +++ b/settings/default_astrasim.yaml @@ -0,0 +1,98 @@ +DeepSwarm: + aco: + ant_count: 2 + greediness: 0.25 + pheromone: + decay: 0.1 + evaporation: 0.25 + start: 0.1 + verbose: false + max_depth: 10 + metrics: loss + reuse_patience: 1 + save_folder: null +Nodes: + ArchParamsNode: + attributes: + # network attributes + topologyName: ["Hierarchical"] + topologiesPerDim1: ["Ring", "FullyConnected", "Switch"] + topologiesPerDim2: ["Ring", "FullyConnected", "Switch"] + topologiesPerDim3: ["Ring", "FullyConnected", "Switch"] + dimensionType: ["N", "P"] + # fix dimensions-count for all ants + dimensionsCount: [1, 2, 3] + + unitsCount1: [0, 1, 2, 3, 4, 5, 6, 7, 8] + unitsCount2: [0, 1, 2, 3, 4, 5, 6, 7, 8] + unitsCount3: [0, 1, 2, 3, 4, 5, 6, 7, 8] + + linkLatency1: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 403, 404, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500] + linkLatency2: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 403, 404, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500] + linkLatency3: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 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466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500] + + linkBandwidth1: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 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12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 403, 404, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500] + + hbmScale1: [0, 1] + hbmScale2: [0, 1] + hbmScale3: [0, 1] + + # systems attributes + schedulingPolicy: ["LIFO", "FIFO"] + endpointDelay: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + activeChunksPerDimension: [1] + preferredDatasetSplits: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32] + boostMode: [0, 1] + + allReduceImplementation1: ["ring", "direct", "doubleBinaryTree", "oneRing", "oneDirect"] + allReduceImplementation2: ["ring", "direct", "doubleBinaryTree", "oneRing", "oneDirect"] + allReduceImplementation3: ["ring", "direct", "doubleBinaryTree", "oneRing", "oneDirect"] + + allGatherImplementation1: ["ring", "direct", "doubleBinaryTree", "oneRing", "oneDirect"] + allGatherImplementation2: ["ring", "direct", "doubleBinaryTree", "oneRing", "oneDirect"] + allGatherImplementation3: ["ring", "direct", "doubleBinaryTree", "oneRing", "oneDirect"] + + reduceScatterImplementation1: ["ring", "direct", "doubleBinaryTree", "oneRing", "oneDirect"] + reduceScatterImplementation2: ["ring", "direct", "doubleBinaryTree", "oneRing", "oneDirect"] + reduceScatterImplementation3: ["ring", "direct", "doubleBinaryTree", "oneRing", "oneDirect"] + + allToAllImplementation1: ["ring", "direct", "doubleBinaryTree", "oneRing", "oneDirect"] + allToAllImplementation2: ["ring", "direct", "doubleBinaryTree", "oneRing", "oneDirect"] + allToAllImplementation3: ["ring", "direct", "doubleBinaryTree", "oneRing", "oneDirect"] + + collectiveOptimization: ["baseline", "localBWAware"] + + transitions: + OutputNode: 1.0 + type: ArchParams + InputNode: + attributes: + name: [Input] + value: [None] + transitions: + ArchParamsNode: 1.0 + type: Input + OutputNode: + attributes: + name: [Output] + value: [None] + transitions: {} + type: Output \ No newline at end of file