Uploading small files from gs://marin-us-central2/tokenized/subcache/fineweb-edu-10M-b4673e

.executor_info

@@ -0,0 +1,56 @@
+{
+  "name": "tokenized/subcache/fineweb-edu-10M",
+  "fn_name": "marin.speedrun.slice_cache._do_slice_cache",
+  "config": {
+    "input_config": {
+      "tags": [],
+      "cache_dir": "gs://marin-us-central2/tokenized/fineweb-edu-24698d",
+      "format": {
+        "text_key": "text"
+      },
+      "train_urls": [
+        "gs://marin-us-central2/raw/fineweb-edu-c2beb4/3c452cb/huggingface.co/datasets/HuggingFaceFW/fineweb-edu/resolve/3c452cb"
+      ],
+      "validation_urls": []
+    },
+    "num_tokens": 10000000,
+    "cache_path": "tokenized/subcache/fineweb-edu-10M",
+    "tokenizer": "stanford-crfm/marin-tokenizer",
+    "seed": 42
+  },
+  "description": null,
+  "override_output_path": null,
+  "version": {
+    "name": "tokenized/subcache/fineweb-edu-10M",
+    "config": {
+      "input_config.cache_dir": "DEP[0]",
+      "input_config.train_urls.[0]": "DEP[1]/3c452cb/huggingface.co/datasets/HuggingFaceFW/fineweb-edu/resolve/3c452cb"
+    },
+    "dependencies": [
+      {
+        "name": "tokenized/fineweb-edu",
+        "config": {
+          "train_paths.[0]": "DEP[0]/3c452cb/huggingface.co/datasets/HuggingFaceFW/fineweb-edu/resolve/3c452cb",
+          "tokenizer": "meta-llama/Meta-Llama-3.1-8B"
+        },
+        "dependencies": [
+          {
+            "name": "raw/fineweb-edu",
+            "config": {},
+            "dependencies": []
+          }
+        ]
+      },
+      {
+        "name": "raw/fineweb-edu",
+        "config": {},
+        "dependencies": []
+      }
+    ]
+  },
+  "dependencies": [
+    "gs://marin-us-central2/tokenized/fineweb-edu-24698d",
+    "gs://marin-us-central2/raw/fineweb-edu-c2beb4"
+  ],
+  "output_path": "gs://marin-us-central2/tokenized/subcache/fineweb-edu-10M-b4673e"
+}

.executor_status

@@ -0,0 +1,6 @@
+{"date": "2025-05-14T19:10:01.218539", "status": "WAITING", "message": null, "ray_task_id": "16310a0f0a45af5cffffffffffffffffffffffff01000000"}
+{"date": "2025-05-14T19:10:02.139566", "status": "RUNNING", "message": null, "ray_task_id": "16310a0f0a45af5cffffffffffffffffffffffff01000000"}
+{"date": "2025-05-14T19:17:33.862100", "status": "FAILED", "message": "Traceback (most recent call last):\n  File \"/Users/dlwh/src/marin/marin/execution/executor.py\", line 932, in execute_after_dependencies\n    fn(config)\n  File \"/Users/dlwh/src/marin/marin/speedrun/slice_cache.py\", line 108, in _do_slice_cache\n    output_writer.write_batch(batch_to_write)\n  File \"/Users/dlwh/src/marin/submodules/levanter/src/levanter/store/cache.py\", line 599, in write_batch\n    self._tree_store.extend(cbatch)\n  File \"/Users/dlwh/src/marin/submodules/levanter/src/levanter/store/tree_store.py\", line 71, in extend\n    jtu.tree_map(\n  File \"/Users/dlwh/src/marin/venv/lib/python3.11/site-packages/jax/_src/tree_util.py\", line 358, in tree_map\n    return treedef.unflatten(f(*xs) for xs in zip(*all_leaves))\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/Users/dlwh/src/marin/venv/lib/python3.11/site-packages/jax/_src/tree_util.py\", line 358, in <genexpr>\n    return treedef.unflatten(f(*xs) for xs in zip(*all_leaves))\n                             ^^^^^^\n  File \"/Users/dlwh/src/marin/submodules/levanter/src/levanter/store/tree_store.py\", line 72, in <lambda>\n    lambda writer, *xs: writer.extend([np.asarray(x) for x in xs]),\n                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/Users/dlwh/src/marin/submodules/levanter/src/levanter/store/jagged_array.py\", line 291, in extend\n    prepared = PreparedBatch.from_batch(arrays, self.item_rank)\n               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/Users/dlwh/src/marin/submodules/levanter/src/levanter/store/jagged_array.py\", line 47, in from_batch\n    data, offsets, shapes = _prepare_batch(items, item_rank)\n                            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"/Users/dlwh/src/marin/submodules/levanter/src/levanter/store/jagged_array.py\", line 78, in _prepare_batch\n    data = np.concatenate([data.reshape(-1) for data in arrays])\n           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nValueError: need at least one array to concatenate\n", "ray_task_id": "16310a0f0a45af5cffffffffffffffffffffffff01000000"}
+{"date": "2025-05-14T19:21:13.363005", "status": "WAITING", "message": null, "ray_task_id": "16310a0f0a45af5cffffffffffffffffffffffff01000000"}
+{"date": "2025-05-14T19:21:14.330144", "status": "RUNNING", "message": null, "ray_task_id": "16310a0f0a45af5cffffffffffffffffffffffff01000000"}
+{"date": "2025-05-14T19:27:54.632376", "status": "SUCCESS", "message": null, "ray_task_id": "16310a0f0a45af5cffffffffffffffffffffffff01000000"}