From 9767120eb470c0edcf5eb2e4f60b8b65a8fcc9e0 Mon Sep 17 00:00:00 2001 From: Pepijn Date: Sun, 31 Aug 2025 01:48:35 +0200 Subject: [PATCH] debug sampling --- notebooks/rlearn_evaluation.ipynb | 62 +++++++++++-------- .../policies/rlearn/modeling_rlearn.py | 26 +++++++- 2 files changed, 58 insertions(+), 30 deletions(-) diff --git a/notebooks/rlearn_evaluation.ipynb b/notebooks/rlearn_evaluation.ipynb index e02b2072c..630726db8 100644 --- a/notebooks/rlearn_evaluation.ipynb +++ b/notebooks/rlearn_evaluation.ipynb @@ -113,7 +113,7 @@ "source": [ "# Configuration\n", "DATASET_REPO = \"pepijn223/phone_pipeline_pickup1\" # Change to your dataset\n", - "MODEL_PATH = \"pepijn223/rlearn_mse1\" # Change to your model checkpoint\n", + "MODEL_PATH = \"pepijn223/rlearn_mse5\" # Change to your model checkpoint\n", "DEVICE = \"cuda\" if torch.cuda.is_available() else \"mps\"\n", "NUM_EVAL_EPISODES = 10 # Number of episodes for evaluation\n", "\n", @@ -134,29 +134,37 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 4, "metadata": {}, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "WARNING:root:Device 'cuda' is not available. Switching to 'mps'.\n", - "WARNING:root:Automatic Mixed Precision (amp) is not available on device 'mps'. Deactivating AMP.\n" - ] - }, { "name": "stdout", "output_type": "stream", "text": [ "Setting up model...\n", - "Loading trained model from Hugging Face Hub: pepijn223/rlearn_mse1\n" + "Loading trained model from Hugging Face Hub: pepijn223/rlearn_mse5\n" ] }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "13c73ad22d2a4aa193572d4efe0a9d1c", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "config.json: 0.00B [00:00, ?B/s]" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, { "name": "stderr", "output_type": "stream", "text": [ + "WARNING:root:Device 'cuda' is not available. Switching to 'mps'.\n", + "WARNING:root:Automatic Mixed Precision (amp) is not available on device 'mps'. Deactivating AMP.\n", "WARNING:root:Device 'cuda' is not available. Switching to 'mps'.\n", "WARNING:root:Automatic Mixed Precision (amp) is not available on device 'mps'. Deactivating AMP.\n" ] @@ -171,12 +179,12 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "f4455d9dec3d4108b1177dc1a78c3096", + "model_id": "b55e3d912b0b4bb8878b47c52b7a876e", "version_major": 2, "version_minor": 0 }, "text/plain": [ - "model.safetensors: 71%|#######1 | 2.20G/3.08G [00:00 too many positional arguments and no constant handler\n" + "objc[8231]: Class AVFFrameReceiver is implemented in both /Users/pepijnkooijmans/miniconda3/envs/lerobot/lib/python3.10/site-packages/av/.dylibs/libavdevice.61.3.100.dylib (0x1696703a8) and /Users/pepijnkooijmans/miniconda3/envs/lerobot/lib/libavdevice.61.3.100.dylib (0x30a620848). This may cause spurious casting failures and mysterious crashes. One of the duplicates must be removed or renamed.\n", + "objc[8231]: Class AVFAudioReceiver is implemented in both /Users/pepijnkooijmans/miniconda3/envs/lerobot/lib/python3.10/site-packages/av/.dylibs/libavdevice.61.3.100.dylib (0x1696703f8) and /Users/pepijnkooijmans/miniconda3/envs/lerobot/lib/libavdevice.61.3.100.dylib (0x30a620898). This may cause spurious casting failures and mysterious crashes. One of the duplicates must be removed or renamed.\n", + "W0831 01:34:23.580000 8231 site-packages/torch/_dynamo/variables/builtin.py:861] [0/0] incorrect arg count too many positional arguments and no constant handler\n" ] }, { "data": { - "image/png": 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" ] @@ -265,16 +273,16 @@ "Episode 0:\n", " Language: Pickup the blue block\n", " Frames: 128\n", - " VOC-S (Spearman ρ): -0.2463 (p=0.0051)\n", - " Reward range: [0.648, 0.715]\n", - " Trend: ↘ Decreasing\n", + " VOC-S (Spearman ρ): 0.1152 (p=0.1955)\n", + " Reward range: [0.533, 0.545]\n", + " Trend: ↗ Increasing\n", "--------------------------------------------------------------------------------\n", "Episode 1:\n", " Language: Pickup the blue block\n", " Frames: 128\n", - " VOC-S (Spearman ρ): -0.1245 (p=0.1615)\n", - " Reward range: [0.648, 0.715]\n", - " Trend: ↘ Decreasing\n", + " VOC-S (Spearman ρ): 0.0775 (p=0.3846)\n", + " Reward range: [0.535, 0.545]\n", + " Trend: → Flat\n", "--------------------------------------------------------------------------------\n" ] } diff --git a/src/lerobot/policies/rlearn/modeling_rlearn.py b/src/lerobot/policies/rlearn/modeling_rlearn.py index 8b1bf97ab..ea40aad1a 100644 --- a/src/lerobot/policies/rlearn/modeling_rlearn.py +++ b/src/lerobot/policies/rlearn/modeling_rlearn.py @@ -506,7 +506,20 @@ class RLearNPolicy(PreTrainedPolicy): # Calculate progress for each frame in the temporal window all_progress = [] - for delta in delta_indices: + + # DEBUG: Log first sample's target calculation + debug_first_sample = True + if debug_first_sample and torch.rand(1).item() < 0.05: # 5% chance + ep_idx_debug = episode_indices[0].item() + frame_idx_debug = frame_indices[0].item() + ep_start_debug = self.episode_data_index["from"][ep_idx_debug].item() + ep_end_debug = self.episode_data_index["to"][ep_idx_debug].item() + ep_length_debug = ep_end_debug - ep_start_debug + print(f"\n=== TARGET DEBUG ===") + print(f"Episode {ep_idx_debug}: length={ep_length_debug}, current_frame={frame_idx_debug}") + print(f"Delta indices: {delta_indices}") + + for i, delta in enumerate(delta_indices): # For each sample, calculate the progress of the frame at delta offset frame_progress = [] for b_idx in range(B): @@ -522,16 +535,23 @@ class RLearNPolicy(PreTrainedPolicy): ep_length = ep_end - ep_start # Clamp to episode boundaries (frame_index is relative to episode) - target_frame_idx = max(0, min(ep_length - 1, target_frame_idx)) + target_frame_idx_clamped = max(0, min(ep_length - 1, target_frame_idx)) # Calculate progress for this frame - prog = target_frame_idx / max(1, ep_length - 1) + prog = target_frame_idx_clamped / max(1, ep_length - 1) frame_progress.append(prog) + + # DEBUG: Log first sample calculation + if debug_first_sample and b_idx == 0 and torch.rand(1).item() < 0.05: + print(f"Frame {i:2d} (delta={delta:3d}): target_idx={target_frame_idx:3d} → clamped={target_frame_idx_clamped:3d} → progress={prog:.6f}") all_progress.append( torch.tensor(frame_progress, device=video_frame_embeds.device, dtype=video_frame_embeds.dtype) ) + if debug_first_sample and torch.rand(1).item() < 0.05: + print("=" * 20) + # Stack to get (B, T) tensor where T is the temporal sequence length target = torch.stack(all_progress, dim=1) # (B, max_seq_len)