add all

seed-12/args.json

@@ -0,0 +1,96 @@
+{
+    "action_weight": 10,
+    "add_extras": {
+        "_type": "python_object (type = method)",
+        "_value": "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"
+    },
+    "attention": true,
+    "batch_size": 512,
+    "bucket": null,
+    "clip_denoised": false,
+    "commit": "70ced04b17ee4f222ceb64fa8730f333fb86c698 main",
+    "config": "diffuser.config.calvin",
+    "dataset": "walker2d-medium-expert-v2",
+    "device": "cuda",
+    "diffusion": "models.GaussianDiffusion",
+    "dim_mults": {
+        "_type": "tuple",
+        "_value": [
+            "1",
+            "4",
+            "8"
+        ]
+    },
+    "downsample": false,
+    "ema_decay": 0.995,
+    "eval_fstrings": {
+        "_type": "python_object (type = method)",
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+    },
+    "exp_name": "diffusion/hulc_frames__gensteps_T20_S12",
+    "frame_offset": 0,
+    "generate_exp_name": {
+        "_type": "python_object (type = method)",
+        "_value": "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"
+    },
+    "get_commit": {
+        "_type": "python_object (type = method)",
+        "_value": "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"
+    },
+    "gradient_accumulate_every": 1,
+    "horizon": 1,
+    "learning_rate": 0.0002,
+    "loader": "datasets.HulcDataset",
+    "logbase": "logs",
+    "loss_discount": 1,
+    "loss_type": "l2",
+    "loss_weights": null,
+    "max_path_length": 1000,
+    "mkdir": {
+        "_type": "python_object (type = method)",
+        "_value": "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"
+    },
+    "model": "models.TemporalUnet",
+    "model_dim": 64,
+    "n_diffusion_steps": 20,
+    "n_reference": 8,
+    "n_saves": 5,
+    "n_steps_per_epoch": 10000,
+    "n_train_steps": 500000.0,
+    "normalizer": "GaussianNormalizer",
+    "predict_epsilon": false,
+    "prefix": "diffusion/hulc_frames__gensteps",
+    "preprocess_fns": [],
+    "read_config": {
+        "_type": "python_object (type = method)",
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+    },
+    "renderer": "utils.MuJoCoRenderer",
+    "reproducibility": {
+        "command_line": "python scripts/train.py --seed 12 --n_diffusion_steps 20 --frame_offset 0 --dim_mults 148 --attention True --loader datasets.HulcDataset --horizon 1 --downsample False --model_dim 64 --wandb True --prefix diffusion/hulc_frames__gensteps --wandb_name reproduction_seed=12",
+        "git_has_uncommitted_changes": true,
+        "git_root": "/home/ubuntu/language-control-diffusion",
+        "git_url": "https://github.com/ezhang7423/language-control-diffusion/tree/70ced04b17ee4f222ceb64fa8730f333fb86c698",
+        "time": "Wed Mar  8 20:50:03 2023"
+    },
+    "sample_freq": 1000,
+    "save_diff": {
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+    },
+    "save_freq": 10000,
+    "save_parallel": false,
+    "savepath": "logs/walker2d-medium-expert-v2/diffusion/hulc_frames__gensteps_T20_S12/03-08_20:50:03",
+    "seed": 12,
+    "set_loadbase": {
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+    },
+    "set_seed": {
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+    },
+    "use_padding": true,
+    "wandb": true,
+    "wandb_name": "reproduction_seed=12"
+}

seed-12/dataset_config.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2da3afe4ee156293d12fedd867a643c03b8345336066d967f0596c3926d1f225
+size 356

seed-12/diff.txt

@@ -0,0 +1,63 @@
+diff --git a/scripts/train.py b/scripts/train.py
+index 2e2e99c..595484e 100644
+--- a/scripts/train.py
++++ b/scripts/train.py
+@@ -30,6 +30,7 @@ dataset_config = utils.Config(
+     use_padding=args.use_padding,
+     max_path_length=args.max_path_length,
+     frame_offset=args.frame_offset,
++    buf=f'/home/ubuntu/hulc-data/hulc-trajectories/{args.seed}_all_trajectories.pt'
+ )
+ 
+ # render_config = utils.Config(
+@@ -135,8 +136,8 @@ if args.wandb:
+     # wandb.init(project="vanilla-diffuser", entity="lang-diffusion", name=f'initial-testing-{args.dataset}-clip-stride', config=vars(args))
+     wandb.init(project="vanilla-diffuser", entity="lang-diffusion", name=f'hulc-{args.wandb_name}', config=vars(args))
+     
+-# for i in range(n_epochs): #!!!
+-for i in range(1):
++for i in range(n_epochs): #!!!
++# for i in range(1):
+     print(f'Epoch {i} / {n_epochs} | {args.savepath}')
+     trainer.train(n_train_steps=args.n_steps_per_epoch)
+ 
+diff --git a/submodules/diffuser/diffuser/config/calvin.py b/submodules/diffuser/diffuser/config/calvin.py
+index 8e41a7e..0a96695 100644
+--- a/submodules/diffuser/diffuser/config/calvin.py
++++ b/submodules/diffuser/diffuser/config/calvin.py
+@@ -51,7 +51,7 @@ base = {
+         'wandb_name': 'default',
+         'n_steps_per_epoch': 10000,
+         'loss_type': 'l2',
+-        'n_train_steps': 1e6,
++        'n_train_steps': 5e5, #!!
+         'batch_size': 512, #!! 64
+         'learning_rate': 2e-4,
+         'gradient_accumulate_every': 1, #!! 2
+diff --git a/submodules/diffuser/diffuser/datasets/sequence.py b/submodules/diffuser/diffuser/datasets/sequence.py
+index 8dfdafa..37be65c 100644
+--- a/submodules/diffuser/diffuser/datasets/sequence.py
++++ b/submodules/diffuser/diffuser/datasets/sequence.py
+@@ -15,6 +15,7 @@ ValueBatch = namedtuple('ValueBatch', 'trajectories conditions values')
+ class HulcDataset(torch.utils.data.Dataset):
+   'Characterizes a dataset for PyTorch'
+   def __init__(self, *args, buf='/home/ubuntu/hulc-data/hulc-trajectories/13_all_trajectories.pt', frame_offset=0, clip_stride=16, **kwargs): #!!!
++        print(f'{buf=}')
+         self.clip_stride = clip_stride
+         self.frame_offset = frame_offset
+ 
+diff --git a/submodules/diffuser/diffuser/utils/training.py b/submodules/diffuser/diffuser/utils/training.py
+index 49ad86c..6758cc6 100644
+--- a/submodules/diffuser/diffuser/utils/training.py
++++ b/submodules/diffuser/diffuser/utils/training.py
+@@ -108,8 +108,8 @@ class Trainer(object):
+     def train(self, n_train_steps):
+ 
+         timer = Timer()
+-        # for step in tqdm.tqdm(range(n_train_steps)):
+-        for step in tqdm.tqdm(range(1)): #!!!
++        for step in tqdm.tqdm(range(n_train_steps)):
++        # for step in tqdm.tqdm(range(1)): #!!!
+             for i in range(self.gradient_accumulate_every):
+                 batch = next(self.dataloader)
+                 batch = batch_to_device(batch)

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+    },
+    "renderer": "utils.MuJoCoRenderer",
+    "reproducibility": {
+        "command_line": "python scripts/train.py --seed 42 --n_diffusion_steps 20 --frame_offset 0 --dim_mults 148 --attention True --loader datasets.HulcDataset --horizon 1 --downsample False --model_dim 64 --wandb True --prefix diffusion/hulc_frames__gensteps --wandb_name reproduction_seed=42",
+        "git_has_uncommitted_changes": true,
+        "git_root": "/home/ubuntu/language-control-diffusion",
+        "git_url": "https://github.com/ezhang7423/language-control-diffusion/tree/70ced04b17ee4f222ceb64fa8730f333fb86c698",
+        "time": "Wed Mar  8 20:49:59 2023"
+    },
+    "sample_freq": 1000,
+    "save_diff": {
+        "_type": "python_object (type = method)",
+        "_value": "gASVTQUAAAAAAACMCGJ1aWx0aW5zlIwHZ2V0YXR0cpSTlIwIX19tYWluX1+UjAZQYXJzZXKUk5QpgZR9lCiMCWVtYV9kZWNheZRHP+/XCj1wo9eMDWV2YWxfZnN0cmluZ3OUaAJoBmgJhpRSlIwHbl9zYXZlc5RLBYwOcHJlcHJvY2Vzc19mbnOUXZSMCHNldF9zZWVklGgCaAZoD4aUUpSMCWxvc3NfdHlwZZSMAmwylIwJYXR0ZW50aW9ulIiMC3NhbXBsZV9mcmVxlE3oA4wPbWF4X3BhdGhfbGVuZ3RolE3oA4wKd2FuZGJfbmFtZZSMFHJlcHJvZHVjdGlvbl9zZWVkPTQylIwMbG9zc193ZWlnaHRzlE6MBmRldmljZZSMBGN1ZGGUjBlncmFkaWVudF9hY2N1bXVsYXRlX2V2ZXJ5lEsBjAlkaWZmdXNpb26UjBhtb2RlbHMuR2F1c3NpYW5EaWZmdXNpb26UjAZjb21taXSUjC03MGNlZDA0YjE3ZWU0ZjIyMmNlYjY0ZmE4NzMwZjMzM2ZiODZjNjk4IG1haW6UjBFuX3N0ZXBzX3Blcl9lcG9jaJRNECeMDWFjdGlvbl93ZWlnaHSUSwqMCHNhdmVwYXRolIxVbG9ncy93YWxrZXIyZC1tZWRpdW0tZXhwZXJ0LXYyL2RpZmZ1c2lvbi9odWxjX2ZyYW1lc19fZ2Vuc3RlcHNfVDIwX1M0Mi8wMy0wOF8yMDo0OTo1OZSMBnByZWZpeJSMH2RpZmZ1c2lvbi9odWxjX2ZyYW1lc19fZ2Vuc3RlcHOUjA1sb3NzX2Rpc2NvdW50lEsBjAphZGRfZXh0cmFzlGgCaAZoKIaUUpSMBW1vZGVslIwTbW9kZWxzLlRlbXBvcmFsVW5ldJSMCW1vZGVsX2RpbZRLQIwJc2F2ZV9kaWZmlGgCaAZoLoaUUpSMB2RhdGFzZXSUjBl3YWxrZXIyZC1tZWRpdW0tZXhwZXJ0LXYylIwMc2V0X2xvYWRiYXNllGgCaAZoM4aUUpSMDXNhdmVfcGFyYWxsZWyUiYwRZ2VuZXJhdGVfZXhwX25hbWWUaAJoBmg3hpRSlIwHaG9yaXpvbpRLAYwGYnVja2V0lE6MBW1rZGlylGgCaAZoPIaUUpSMEW5fZGlmZnVzaW9uX3N0ZXBzlEsUjAtuX3JlZmVyZW5jZZRLCIwJZGltX211bHRzlIwBMZSMATSUjAE4lIeUjA1uX3RyYWluX3N0ZXBzlEdBHoSAAAAAAIwLdXNlX3BhZGRpbmeUiIwEc2VlZJRLKowNbGVhcm5pbmdfcmF0ZZRHPyo24uscQy2MBXdhbmRilIiMD3ByZWRpY3RfZXBzaWxvbpSJjAdsb2diYXNllIwEbG9nc5SMCmRvd25zYW1wbGWUiYwNY2xpcF9kZW5vaXNlZJSJjAZsb2FkZXKUjBRkYXRhc2V0cy5IdWxjRGF0YXNldJSMBmNvbmZpZ5SMFmRpZmZ1c2VyLmNvbmZpZy5jYWx2aW6UjApiYXRjaF9zaXpllE0AAowMZnJhbWVfb2Zmc2V0lEsAjAhleHBfbmFtZZSMJ2RpZmZ1c2lvbi9odWxjX2ZyYW1lc19fZ2Vuc3RlcHNfVDIwX1M0MpSMCm5vcm1hbGl6ZXKUjBJHYXVzc2lhbk5vcm1hbGl6ZXKUjAtyZWFkX2NvbmZpZ5RoAmgGaFqGlFKUjAlzYXZlX2ZyZXGUTRAnjAhyZW5kZXJlcpSMFHV0aWxzLk11Sm9Db1JlbmRlcmVylIwKZ2V0X2NvbW1pdJRoAmgGaGCGlFKUdWJoLoaUUpQu"
+    },
+    "save_freq": 10000,
+    "save_parallel": false,
+    "savepath": "logs/walker2d-medium-expert-v2/diffusion/hulc_frames__gensteps_T20_S42/03-08_20:49:59",
+    "seed": 42,
+    "set_loadbase": {
+        "_type": "python_object (type = method)",
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+    },
+    "set_seed": {
+        "_type": "python_object (type = method)",
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+    },
+    "use_padding": true,
+    "wandb": true,
+    "wandb_name": "reproduction_seed=42"
+}

seed-42/dataset_config.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:32d692ecc97120e5e1244234b107be952ae1e2c3822058b0e01268500475f0e3
+size 356

seed-42/diff.txt

@@ -0,0 +1,63 @@
+diff --git a/scripts/train.py b/scripts/train.py
+index 2e2e99c..595484e 100644
+--- a/scripts/train.py
++++ b/scripts/train.py
+@@ -30,6 +30,7 @@ dataset_config = utils.Config(
+     use_padding=args.use_padding,
+     max_path_length=args.max_path_length,
+     frame_offset=args.frame_offset,
++    buf=f'/home/ubuntu/hulc-data/hulc-trajectories/{args.seed}_all_trajectories.pt'
+ )
+ 
+ # render_config = utils.Config(
+@@ -135,8 +136,8 @@ if args.wandb:
+     # wandb.init(project="vanilla-diffuser", entity="lang-diffusion", name=f'initial-testing-{args.dataset}-clip-stride', config=vars(args))
+     wandb.init(project="vanilla-diffuser", entity="lang-diffusion", name=f'hulc-{args.wandb_name}', config=vars(args))
+     
+-# for i in range(n_epochs): #!!!
+-for i in range(1):
++for i in range(n_epochs): #!!!
++# for i in range(1):
+     print(f'Epoch {i} / {n_epochs} | {args.savepath}')
+     trainer.train(n_train_steps=args.n_steps_per_epoch)
+ 
+diff --git a/submodules/diffuser/diffuser/config/calvin.py b/submodules/diffuser/diffuser/config/calvin.py
+index 8e41a7e..0a96695 100644
+--- a/submodules/diffuser/diffuser/config/calvin.py
++++ b/submodules/diffuser/diffuser/config/calvin.py
+@@ -51,7 +51,7 @@ base = {
+         'wandb_name': 'default',
+         'n_steps_per_epoch': 10000,
+         'loss_type': 'l2',
+-        'n_train_steps': 1e6,
++        'n_train_steps': 5e5, #!!
+         'batch_size': 512, #!! 64
+         'learning_rate': 2e-4,
+         'gradient_accumulate_every': 1, #!! 2
+diff --git a/submodules/diffuser/diffuser/datasets/sequence.py b/submodules/diffuser/diffuser/datasets/sequence.py
+index 8dfdafa..37be65c 100644
+--- a/submodules/diffuser/diffuser/datasets/sequence.py
++++ b/submodules/diffuser/diffuser/datasets/sequence.py
+@@ -15,6 +15,7 @@ ValueBatch = namedtuple('ValueBatch', 'trajectories conditions values')
+ class HulcDataset(torch.utils.data.Dataset):
+   'Characterizes a dataset for PyTorch'
+   def __init__(self, *args, buf='/home/ubuntu/hulc-data/hulc-trajectories/13_all_trajectories.pt', frame_offset=0, clip_stride=16, **kwargs): #!!!
++        print(f'{buf=}')
+         self.clip_stride = clip_stride
+         self.frame_offset = frame_offset
+ 
+diff --git a/submodules/diffuser/diffuser/utils/training.py b/submodules/diffuser/diffuser/utils/training.py
+index 49ad86c..6758cc6 100644
+--- a/submodules/diffuser/diffuser/utils/training.py
++++ b/submodules/diffuser/diffuser/utils/training.py
+@@ -108,8 +108,8 @@ class Trainer(object):
+     def train(self, n_train_steps):
+ 
+         timer = Timer()
+-        # for step in tqdm.tqdm(range(n_train_steps)):
+-        for step in tqdm.tqdm(range(1)): #!!!
++        for step in tqdm.tqdm(range(n_train_steps)):
++        # for step in tqdm.tqdm(range(1)): #!!!
+             for i in range(self.gradient_accumulate_every):
+                 batch = next(self.dataloader)
+                 batch = batch_to_device(batch)

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+    "normalizer": "GaussianNormalizer",
+    "predict_epsilon": false,
+    "prefix": "diffusion/hulc_frames__gensteps",
+    "preprocess_fns": [],
+    "read_config": {
+        "_type": "python_object (type = method)",
+        "_value": "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"
+    },
+    "renderer": "utils.MuJoCoRenderer",
+    "reproducibility": {
+        "command_line": "python scripts/train.py --n_diffusion_steps 20 --frame_offset 0 --dim_mults 148 --attention True --loader datasets.HulcDataset --horizon 1 --downsample False --model_dim 64 --wandb True --prefix diffusion/hulc_frames__gensteps --wandb_name t5_fr_offset=0_d_steps=20",
+        "git_has_uncommitted_changes": true,
+        "git_root": "/home/eddie/git/lad/diffuser",
+        "git_url": "https://github.com/jannerm/diffuser/tree/ac505978a0be08f3c224cb363bc7f12ed31a4c89",
+        "time": "Mon 23 Jan 2023 06:37:13 AM PST"
+    },
+    "sample_freq": 1000,
+    "save_diff": {
+        "_type": "python_object (type = method)",
+        "_value": "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"
+    },
+    "save_freq": 10000,
+    "save_parallel": false,
+    "savepath": "/data5/eddie/calvin/logs/walker2d-medium-expert-v2/diffusion/hulc_frames__gensteps_T20/01-23_06:37:13",
+    "seed": null,
+    "set_loadbase": {
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+    },
+    "set_seed": {
+        "_type": "python_object (type = method)",
+        "_value": "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"
+    },
+    "use_padding": true,
+    "wandb": true,
+    "wandb_name": "t5_fr_offset=0_d_steps=20"
+}

seed-aleph/dataset_config.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:38e6d9bc45ca2f2437f52f7f8dad0ada5f0a60cf7a5a916429df11c31d33f37b
+size 284

seed-aleph/diff.txt

@@ -0,0 +1,70 @@
+diff --git a/config/locomotion.py b/config/locomotion.py
+index 53c2489..d9febe0 100644
+--- a/config/locomotion.py
++++ b/config/locomotion.py
+@@ -1,3 +1,4 @@
++import os
+ import socket
+ 
+ from diffuser.utils import watch
+@@ -15,7 +16,7 @@ args_to_watch = [
+     # ('discount', 'd'),
+ ]
+ 
+-logbase = 'logs'
++logbase = f'{os.environ["DATA_GRAND_CENTRAL"]}/logs'
+ 
+ base = {
+     'diffusion': {
+diff --git a/diffuser/datasets/sequence.py b/diffuser/datasets/sequence.py
+index f1c9f80..cca8c47 100644
+--- a/diffuser/datasets/sequence.py
++++ b/diffuser/datasets/sequence.py
+@@ -104,7 +104,7 @@ class HulcDataset(torch.utils.data.Dataset):
+         self.frame_offset = frame_offset
+ 
+         print('loading dataset...')
+-        # buf = f'{os.environ["DATA_GRAND_CENTRAL"]}/all_trajectories.pt' #!!!
++        buf = f'{os.environ["DATA_GRAND_CENTRAL"]}/all_trajectories.pt' #!!!
+         buf = torch.load(buf,map_location='cpu')
+         print('done loading!')
+         
+diff --git a/diffuser/models/diffusion.py b/diffuser/models/diffusion.py
+index 80711be..54015ad 100644
+--- a/diffuser/models/diffusion.py
++++ b/diffuser/models/diffusion.py
+@@ -55,7 +55,7 @@ class GaussianDiffusion(nn.Module):
+         action_weight=1.0,
+         loss_discount=1.0,
+         loss_weights=None,
+-        classifier_drop_probability=-1., # 0.1
++        classifier_drop_probability=0.1, #!! -1
+     ):
+         super().__init__()
+         self.horizon = horizon
+diff --git a/run_parallel.py b/run_parallel.py
+index 91afc97..35792b2 100644
+--- a/run_parallel.py
++++ b/run_parallel.py
+@@ -3,13 +3,15 @@ import os
+ import itertools
+ import time
+ 
+-frame_offset = [0, 1, 3]
+-gen_steps = [20, 50, 100, 200]
++frame_offset = [0, 1]
++gen_steps = [20, 100]
++model_dim = [64, 128]
+ 
+-hparams = list(itertools.product(frame_offset, gen_steps))
++
++hparams = list(itertools.product(frame_offset, gen_steps, model_dim))
+ for i in range(len(hparams)):
+-    fr, d = hparams[i]
+-    cmd = f'CUDA_VISIBLE_DEVICES={i % 8} python3 scripts/train.py --n_diffusion_steps {d} --frame_offset {fr} --dim_mults 148 --attention True --loader datasets.HulcDataset --horizon 1 --downsample False --model_dim 64 --wandb True  --prefix diffusion/hulc_frames__gensteps --wandb_name fr_offset={fr}_d_steps={d} &> frogs_{i}.out&'
++    fr, d, md = hparams[i]
++    cmd = f'CUDA_VISIBLE_DEVICES={i % 8} python3 scripts/train.py --n_diffusion_steps {d} --frame_offset {fr} --dim_mults 148 --attention True --loader datasets.HulcDataset --horizon 1 --downsample False --model_dim {md} --wandb True  --prefix diffusion/hulc_frames__gensteps --wandb_name t5_fr_offset={fr}_d_steps={d} > frogs_{i}.out 2>&1&'
+     print(f'Running {cmd}')
+     time.sleep(1.1)
+     os.system(cmd)
+

seed-aleph/diffusion_config.pkl

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+size 311

seed-aleph/model_0.pt

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+size 83946239

seed-aleph/model_200000.pt

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+size 83946239

seed-aleph/model_300000.pt

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