add args.json required by generate.py

checkpoints/args.json

@@ -0,0 +1,51 @@
+{
+    "adam_beta2": 0.999,
+    "arch": "trans_enc",
+    "avg_model_beta": 0.9999,
+    "batch_size": 64,
+    "cond_mask_prob": 0.1,
+    "context_len": 0,
+    "cuda": true,
+    "data_dir": "",
+    "dataset": "humanml",
+    "device": 0,
+    "diffusion_steps": 50,
+    "emb_before_mask": false,
+    "emb_trans_dec": false,
+    "eval_batch_size": 32,
+    "eval_during_training": true,
+    "eval_num_samples": 1000,
+    "eval_rep_times": 3,
+    "eval_split": "test",
+    "gen_during_training": true,
+    "gen_guidance_param": 2.5,
+    "gen_num_repetitions": 2,
+    "gen_num_samples": 3,
+    "keyframe_cond_prob": 0.5,
+    "keyframe_cond_type": "",
+    "lambda_fc": 0.0,
+    "lambda_rcxyz": 0.0,
+    "lambda_vel": 0.0,
+    "latent_dim": 512,
+    "layers": 8,
+    "log_interval": 1000,
+    "lr": 0.0001,
+    "lr_anneal_steps": 0,
+    "mask_frames": false,
+    "noise_schedule": "cosine",
+    "num_frames": 60,
+    "num_steps": 600000,
+    "overwrite": true,
+    "pos_embed_max_len": 5000,
+    "pred_len": 0,
+    "resume_checkpoint": "",
+    "save_dir": "save/BaselinesMain_DiffusionSteps_50",
+    "save_interval": 50000,
+    "seed": 10,
+    "sigma_small": true,
+    "text_encoder_type": "clip",
+    "train_platform_type": "WandBPlatform",
+    "unconstrained": false,
+    "use_ema": false,
+    "weight_decay": 0.0
+}