enable float16 for older cards, t4, etc

CaptionFL.ipynb

@@ -6,6 +6,9 @@
    "metadata": {},
    "source": [
     "# Open-flamingo Captioning\n",
+    "This notebook is an implementation of [OpenFlamingo](https://github.com/mlfoundations/open_flamingo) for image captioning. \n",
+    "\n",
+    "This will require HIGH RAM shape on Google Colab, but T4 16gb is enough to run the 3B model.  9B model requires 24GB GPU or better.\n",
     "\n",
     "1.  Read [Docs](doc/CAPTION.md) for basic usage guide. \n",
     "2.  Open in [Google Colab](https://colab.research.google.com/github/victorchall/EveryDream2trainer/blob/main/CaptionFL.ipynb) **OR** Runpod/Vast using the EveryDream2trainer docker container/template and open this notebook.\n",
@@ -22,7 +25,9 @@
     "# install dependencies\n",
     "!pip install open-flamingo==2.0.0\n",
     "!pip install huggingface-hub==0.15.1\n",
-    "!pip install transformers==4.30.2"
+    "!pip install transformers==4.30.2\n",
+    "!pip install pynvml\n",
+    "!pip install colorama"
    ]
   },
   {
@@ -33,7 +38,8 @@
    "source": [
     "# Colab only setup (do NOT run for docker/runpod/vast)\n",
     "!git clone https://github.com/victorchall/EveryDream2trainer\n",
-    "%cd EveryDream2trainer"
+    "%cd EveryDream2trainer\n",
+    "%mkdir -p /content/EveryDream2trainer/input"
    ]
   },
   {
@@ -42,6 +48,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "%cd /content/EveryDream2trainer\n",
     "#@markdown Optional:  Extract all TAR and ZIP files in the input folder (so you can just upload a large TAR/ZIP)\n",
     "import os\n",
     "import zipfile\n",
@@ -84,6 +91,7 @@
    "outputs": [],
    "source": [
     "# 24GB GPU, 9b model\n",
+    "%cd /content/EveryDream2trainer\n",
     "%run caption_fl.py --data_root \"input\" --min_new_tokens 20 --max_new_tokens 30 --num_beams 3 --model \"openflamingo/OpenFlamingo-9B-vitl-mpt7b\""
    ]
   },
@@ -94,6 +102,7 @@
    "outputs": [],
    "source": [
     "# 16GB GPU, 3b model\n",
+    "%cd /content/EveryDream2trainer\n",
     "%run caption_fl.py --data_root \"input\" --min_new_tokens 20 --max_new_tokens 30 --num_beams 8 --model \"openflamingo/OpenFlamingo-3B-vitl-mpt1b\""
    ]
   }

caption_fl.py

@@ -70,9 +70,19 @@ def get_examples(example_root, image_processor):
         print(f" ** Example: {x[0]}")
     return examples
 
+def get_dtype_for_cuda_device(device):
+    # check compute capability
+    compute_capability = torch.cuda.get_device_capability()
+    if compute_capability[0] >= 8:
+        dtype = torch.bfloat16
+    else:
+        dtype = torch.float16
+    return dtype
+
+
 def main(args):
     device = "cuda" if torch.cuda.is_available() and not args.force_cpu else "cpu"
-    dtype = torch.bfloat16 if device == "cuda" else torch.float32
+    dtype = get_dtype_for_cuda_device() if device == "cuda" else torch.float32
 
     if args.prompt:
         prompt = args.prompt