Working feedforward of full transformer arch in notebook

8 files changed, 665 insertions, 891 deletions

diff --git a/docs/conf.py b/docs/conf.py
deleted file mode 100644
index a0eba8b..0000000
--- a/docs/conf.py
+++ /dev/null
@@ -1,6 +0,0 @@
-"""Sphinx configuration."""
-
-project = "text-recognizer"
-author = "Gustaf Rydholm"
-extensions = ["sphinx.ext.autodoc", "sphinx.ext.napoleon", "sphinx_autodoc_typehints"]
-html_static_path = ["_static"]
diff --git a/docs/index.rst b/docs/index.rst
deleted file mode 100644
index bef49c6..0000000
--- a/docs/index.rst
+++ /dev/null
@@ -1,22 +0,0 @@
-The Text Recognizer Project
-==============================
-
-TBC
-
-
-Installation
-------------
-
-
-TBC
-
-
-run this command in your terminal:
-
-.. code-block:: console
-
-   $ pip install text-recognizer
-
-
-Usage
------
diff --git a/notebooks/00-scratch-pad.ipynb b/notebooks/00-scratch-pad.ipynb
index 8db843c..4681360 100644
--- a/notebooks/00-scratch-pad.ipynb
+++ b/notebooks/00-scratch-pad.ipynb
@@ -20,7 +20,12 @@
     "from importlib.util import find_spec\n",
     "if find_spec(\"text_recognizer\") is None:\n",
     "    import sys\n",
-    "    sys.path.append('..')"
+    "    sys.path.append('..')\n",
+    "\n",
+    "from text_recognizer.networks.transformer.vit import ViT\n",
+    "from text_recognizer.networks.transformer.transformer import Transformer\n",
+    "from text_recognizer.networks.transformer.layers import Decoder\n",
+    "from text_recognizer.networks.transformer.nystromer.nystromer import Nystromer"
    ]
   },
   {
@@ -49,23 +54,102 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from text_recognizer.networks.transformer.layers import Decoder"
+    "decoder = Decoder(dim=64, depth=2, num_heads=4, ff_kwargs={}, attn_kwargs={}, cross_attend=True)"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 4,
    "metadata": {},
-   "outputs": [],
-   "source": [
-    "decoder = Decoder(dim=128, depth=4, num_heads=8, ff_kwargs={}, attn_kwargs={}, cross_attend=True)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Decoder(\n",
+       "  (layers): ModuleList(\n",
+       "    (0): ModuleList(\n",
+       "      (0): LayerNorm((64,), eps=1e-05, elementwise_affine=True)\n",
+       "      (1): Attention(\n",
+       "        (qkv_fn): Sequential(\n",
+       "          (0): Linear(in_features=64, out_features=12288, bias=False)\n",
+       "          (1): Rearrange('b n (qkv h d) -> qkv b h n d', qkv=3, h=4)\n",
+       "        )\n",
+       "        (dropout): Dropout(p=0.0, inplace=False)\n",
+       "        (fc): Linear(in_features=4096, out_features=64, bias=True)\n",
+       "      )\n",
+       "      (2): Residual()\n",
+       "    )\n",
+       "    (1): ModuleList(\n",
+       "      (0): LayerNorm((64,), eps=1e-05, elementwise_affine=True)\n",
+       "      (1): Attention(\n",
+       "        (qkv_fn): Sequential(\n",
+       "          (0): Linear(in_features=64, out_features=12288, bias=False)\n",
+       "          (1): Rearrange('b n (qkv h d) -> qkv b h n d', qkv=3, h=4)\n",
+       "        )\n",
+       "        (dropout): Dropout(p=0.0, inplace=False)\n",
+       "        (fc): Linear(in_features=4096, out_features=64, bias=True)\n",
+       "      )\n",
+       "      (2): Residual()\n",
+       "    )\n",
+       "    (2): ModuleList(\n",
+       "      (0): LayerNorm((64,), eps=1e-05, elementwise_affine=True)\n",
+       "      (1): FeedForward(\n",
+       "        (mlp): Sequential(\n",
+       "          (0): GEGLU(\n",
+       "            (fc): Linear(in_features=64, out_features=512, bias=True)\n",
+       "          )\n",
+       "          (1): Dropout(p=0.0, inplace=False)\n",
+       "          (2): Linear(in_features=256, out_features=64, bias=True)\n",
+       "        )\n",
+       "      )\n",
+       "      (2): Residual()\n",
+       "    )\n",
+       "    (3): ModuleList(\n",
+       "      (0): LayerNorm((64,), eps=1e-05, elementwise_affine=True)\n",
+       "      (1): Attention(\n",
+       "        (qkv_fn): Sequential(\n",
+       "          (0): Linear(in_features=64, out_features=12288, bias=False)\n",
+       "          (1): Rearrange('b n (qkv h d) -> qkv b h n d', qkv=3, h=4)\n",
+       "        )\n",
+       "        (dropout): Dropout(p=0.0, inplace=False)\n",
+       "        (fc): Linear(in_features=4096, out_features=64, bias=True)\n",
+       "      )\n",
+       "      (2): Residual()\n",
+       "    )\n",
+       "    (4): ModuleList(\n",
+       "      (0): LayerNorm((64,), eps=1e-05, elementwise_affine=True)\n",
+       "      (1): Attention(\n",
+       "        (qkv_fn): Sequential(\n",
+       "          (0): Linear(in_features=64, out_features=12288, bias=False)\n",
+       "          (1): Rearrange('b n (qkv h d) -> qkv b h n d', qkv=3, h=4)\n",
+       "        )\n",
+       "        (dropout): Dropout(p=0.0, inplace=False)\n",
+       "        (fc): Linear(in_features=4096, out_features=64, bias=True)\n",
+       "      )\n",
+       "      (2): Residual()\n",
+       "    )\n",
+       "    (5): ModuleList(\n",
+       "      (0): LayerNorm((64,), eps=1e-05, elementwise_affine=True)\n",
+       "      (1): FeedForward(\n",
+       "        (mlp): Sequential(\n",
+       "          (0): GEGLU(\n",
+       "            (fc): Linear(in_features=64, out_features=512, bias=True)\n",
+       "          )\n",
+       "          (1): Dropout(p=0.0, inplace=False)\n",
+       "          (2): Linear(in_features=256, out_features=64, bias=True)\n",
+       "        )\n",
+       "      )\n",
+       "      (2): Residual()\n",
+       "    )\n",
+       "  )\n",
+       ")"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "decoder.cuda()"
    ]
@@ -76,22 +160,13 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from text_recognizer.networks.transformer.transformer import Transformer"
+    "transformer_decoder = Transformer(num_tokens=90, max_seq_len=690, attn_layers=decoder, emb_dim=64, emb_dropout=0.1)"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 6,
    "metadata": {},
-   "outputs": [],
-   "source": [
-    "transformer_decoder = Transformer(num_tokens=90, max_seq_len=690, attn_layers=decoder, emb_dim=128, emb_dropout=0.1)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -100,167 +175,93 @@
        "  (attn_layers): Decoder(\n",
        "    (layers): ModuleList(\n",
        "      (0): ModuleList(\n",
-       "        (0): LayerNorm((128,), eps=1e-05, elementwise_affine=True)\n",
+       "        (0): LayerNorm((64,), eps=1e-05, elementwise_affine=True)\n",
        "        (1): Attention(\n",
        "          (qkv_fn): Sequential(\n",
-       "            (0): Linear(in_features=128, out_features=24576, bias=False)\n",
-       "            (1): Rearrange('b n (qkv h d) -> qkv b h n d', qkv=3, h=8)\n",
+       "            (0): Linear(in_features=64, out_features=12288, bias=False)\n",
+       "            (1): Rearrange('b n (qkv h d) -> qkv b h n d', qkv=3, h=4)\n",
        "          )\n",
        "          (dropout): Dropout(p=0.0, inplace=False)\n",
-       "          (fc): Linear(in_features=8192, out_features=128, bias=True)\n",
+       "          (fc): Linear(in_features=4096, out_features=64, bias=True)\n",
        "        )\n",
        "        (2): Residual()\n",
        "      )\n",
        "      (1): ModuleList(\n",
-       "        (0): LayerNorm((128,), eps=1e-05, elementwise_affine=True)\n",
+       "        (0): LayerNorm((64,), eps=1e-05, elementwise_affine=True)\n",
        "        (1): Attention(\n",
        "          (qkv_fn): Sequential(\n",
-       "            (0): Linear(in_features=128, out_features=24576, bias=False)\n",
-       "            (1): Rearrange('b n (qkv h d) -> qkv b h n d', qkv=3, h=8)\n",
+       "            (0): Linear(in_features=64, out_features=12288, bias=False)\n",
+       "            (1): Rearrange('b n (qkv h d) -> qkv b h n d', qkv=3, h=4)\n",
        "          )\n",
        "          (dropout): Dropout(p=0.0, inplace=False)\n",
-       "          (fc): Linear(in_features=8192, out_features=128, bias=True)\n",
+       "          (fc): Linear(in_features=4096, out_features=64, bias=True)\n",
        "        )\n",
        "        (2): Residual()\n",
        "      )\n",
        "      (2): ModuleList(\n",
-       "        (0): LayerNorm((128,), eps=1e-05, elementwise_affine=True)\n",
+       "        (0): LayerNorm((64,), eps=1e-05, elementwise_affine=True)\n",
        "        (1): FeedForward(\n",
        "          (mlp): Sequential(\n",
        "            (0): GEGLU(\n",
-       "              (fc): Linear(in_features=128, out_features=1024, bias=True)\n",
+       "              (fc): Linear(in_features=64, out_features=512, bias=True)\n",
        "            )\n",
        "            (1): Dropout(p=0.0, inplace=False)\n",
-       "            (2): Linear(in_features=512, out_features=128, bias=True)\n",
+       "            (2): Linear(in_features=256, out_features=64, bias=True)\n",
        "          )\n",
        "        )\n",
        "        (2): Residual()\n",
        "      )\n",
        "      (3): ModuleList(\n",
-       "        (0): LayerNorm((128,), eps=1e-05, elementwise_affine=True)\n",
+       "        (0): LayerNorm((64,), eps=1e-05, elementwise_affine=True)\n",
        "        (1): Attention(\n",
        "          (qkv_fn): Sequential(\n",
-       "            (0): Linear(in_features=128, out_features=24576, bias=False)\n",
-       "            (1): Rearrange('b n (qkv h d) -> qkv b h n d', qkv=3, h=8)\n",
+       "            (0): Linear(in_features=64, out_features=12288, bias=False)\n",
+       "            (1): Rearrange('b n (qkv h d) -> qkv b h n d', qkv=3, h=4)\n",
        "          )\n",
        "          (dropout): Dropout(p=0.0, inplace=False)\n",
-       "          (fc): Linear(in_features=8192, out_features=128, bias=True)\n",
+       "          (fc): Linear(in_features=4096, out_features=64, bias=True)\n",
        "        )\n",
        "        (2): Residual()\n",
        "      )\n",
        "      (4): ModuleList(\n",
-       "        (0): LayerNorm((128,), eps=1e-05, elementwise_affine=True)\n",
+       "        (0): LayerNorm((64,), eps=1e-05, elementwise_affine=True)\n",
        "        (1): Attention(\n",
        "          (qkv_fn): Sequential(\n",
-       "            (0): Linear(in_features=128, out_features=24576, bias=False)\n",
-       "            (1): Rearrange('b n (qkv h d) -> qkv b h n d', qkv=3, h=8)\n",
+       "            (0): Linear(in_features=64, out_features=12288, bias=False)\n",
+       "            (1): Rearrange('b n (qkv h d) -> qkv b h n d', qkv=3, h=4)\n",
        "          )\n",
        "          (dropout): Dropout(p=0.0, inplace=False)\n",
-       "          (fc): Linear(in_features=8192, out_features=128, bias=True)\n",
+       "          (fc): Linear(in_features=4096, out_features=64, bias=True)\n",
        "        )\n",
        "        (2): Residual()\n",
        "      )\n",
        "      (5): ModuleList(\n",
-       "        (0): LayerNorm((128,), eps=1e-05, elementwise_affine=True)\n",
+       "        (0): LayerNorm((64,), eps=1e-05, elementwise_affine=True)\n",
        "        (1): FeedForward(\n",
        "          (mlp): Sequential(\n",
        "            (0): GEGLU(\n",
-       "              (fc): Linear(in_features=128, out_features=1024, bias=True)\n",
+       "              (fc): Linear(in_features=64, out_features=512, bias=True)\n",
        "            )\n",
        "            (1): Dropout(p=0.0, inplace=False)\n",
-       "            (2): Linear(in_features=512, out_features=128, bias=True)\n",
-       "          )\n",
-       "        )\n",
-       "        (2): Residual()\n",
-       "      )\n",
-       "      (6): ModuleList(\n",
-       "        (0): LayerNorm((128,), eps=1e-05, elementwise_affine=True)\n",
-       "        (1): Attention(\n",
-       "          (qkv_fn): Sequential(\n",
-       "            (0): Linear(in_features=128, out_features=24576, bias=False)\n",
-       "            (1): Rearrange('b n (qkv h d) -> qkv b h n d', qkv=3, h=8)\n",
-       "          )\n",
-       "          (dropout): Dropout(p=0.0, inplace=False)\n",
-       "          (fc): Linear(in_features=8192, out_features=128, bias=True)\n",
-       "        )\n",
-       "        (2): Residual()\n",
-       "      )\n",
-       "      (7): ModuleList(\n",
-       "        (0): LayerNorm((128,), eps=1e-05, elementwise_affine=True)\n",
-       "        (1): Attention(\n",
-       "          (qkv_fn): Sequential(\n",
-       "            (0): Linear(in_features=128, out_features=24576, bias=False)\n",
-       "            (1): Rearrange('b n (qkv h d) -> qkv b h n d', qkv=3, h=8)\n",
-       "          )\n",
-       "          (dropout): Dropout(p=0.0, inplace=False)\n",
-       "          (fc): Linear(in_features=8192, out_features=128, bias=True)\n",
-       "        )\n",
-       "        (2): Residual()\n",
-       "      )\n",
-       "      (8): ModuleList(\n",
-       "        (0): LayerNorm((128,), eps=1e-05, elementwise_affine=True)\n",
-       "        (1): FeedForward(\n",
-       "          (mlp): Sequential(\n",
-       "            (0): GEGLU(\n",
-       "              (fc): Linear(in_features=128, out_features=1024, bias=True)\n",
-       "            )\n",
-       "            (1): Dropout(p=0.0, inplace=False)\n",
-       "            (2): Linear(in_features=512, out_features=128, bias=True)\n",
-       "          )\n",
-       "        )\n",
-       "        (2): Residual()\n",
-       "      )\n",
-       "      (9): ModuleList(\n",
-       "        (0): LayerNorm((128,), eps=1e-05, elementwise_affine=True)\n",
-       "        (1): Attention(\n",
-       "          (qkv_fn): Sequential(\n",
-       "            (0): Linear(in_features=128, out_features=24576, bias=False)\n",
-       "            (1): Rearrange('b n (qkv h d) -> qkv b h n d', qkv=3, h=8)\n",
-       "          )\n",
-       "          (dropout): Dropout(p=0.0, inplace=False)\n",
-       "          (fc): Linear(in_features=8192, out_features=128, bias=True)\n",
-       "        )\n",
-       "        (2): Residual()\n",
-       "      )\n",
-       "      (10): ModuleList(\n",
-       "        (0): LayerNorm((128,), eps=1e-05, elementwise_affine=True)\n",
-       "        (1): Attention(\n",
-       "          (qkv_fn): Sequential(\n",
-       "            (0): Linear(in_features=128, out_features=24576, bias=False)\n",
-       "            (1): Rearrange('b n (qkv h d) -> qkv b h n d', qkv=3, h=8)\n",
-       "          )\n",
-       "          (dropout): Dropout(p=0.0, inplace=False)\n",
-       "          (fc): Linear(in_features=8192, out_features=128, bias=True)\n",
-       "        )\n",
-       "        (2): Residual()\n",
-       "      )\n",
-       "      (11): ModuleList(\n",
-       "        (0): LayerNorm((128,), eps=1e-05, elementwise_affine=True)\n",
-       "        (1): FeedForward(\n",
-       "          (mlp): Sequential(\n",
-       "            (0): GEGLU(\n",
-       "              (fc): Linear(in_features=128, out_features=1024, bias=True)\n",
-       "            )\n",
-       "            (1): Dropout(p=0.0, inplace=False)\n",
-       "            (2): Linear(in_features=512, out_features=128, bias=True)\n",
+       "            (2): Linear(in_features=256, out_features=64, bias=True)\n",
        "          )\n",
        "        )\n",
        "        (2): Residual()\n",
        "      )\n",
        "    )\n",
        "  )\n",
-       "  (token_emb): Embedding(90, 128)\n",
+       "  (token_emb): Embedding(90, 64)\n",
        "  (emb_dropout): Dropout(p=0.1, inplace=False)\n",
        "  (pos_emb): AbsolutePositionalEmbedding(\n",
-       "    (emb): Embedding(690, 128)\n",
+       "    (emb): Embedding(690, 64)\n",
        "  )\n",
        "  (project_emb): Identity()\n",
-       "  (norm): LayerNorm((128,), eps=1e-05, elementwise_affine=True)\n",
-       "  (logits): Linear(in_features=128, out_features=90, bias=True)\n",
+       "  (norm): LayerNorm((64,), eps=1e-05, elementwise_affine=True)\n",
+       "  (logits): Linear(in_features=64, out_features=90, bias=True)\n",
        ")"
       ]
      },
-     "execution_count": 7,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -271,62 +272,44 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from text_recognizer.networks.transformer.nystromer.nystromer import Nystromer"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [],
    "source": [
     "efficient_transformer = Nystromer(\n",
-    "    dim = 128,\n",
+    "    dim = 64,\n",
     "    depth = 4,\n",
     "    num_heads = 8,\n",
-    "    num_landmarks = 128\n",
+    "    num_landmarks = 64\n",
     ")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from text_recognizer.networks.transformer.vit import ViT"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [],
    "source": [
     "v = ViT(\n",
-    "    dim = 128,\n",
+    "    dim = 64,\n",
     "    image_size = (576, 640),\n",
-    "    patch_size = (32, 32),\n",
+    "    patch_size = (64, 64),\n",
     "    transformer = efficient_transformer\n",
     ").cuda()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [],
    "source": [
-    "t = torch.randn(16, 1, 576, 640).cuda()"
+    "t = torch.randn(4, 1, 576, 640).cuda()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -335,7 +318,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -344,16 +327,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "torch.Size([16, 360, 128])"
+       "torch.Size([4, 90, 64])"
       ]
      },
-     "execution_count": 23,
+     "execution_count": 12,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -364,7 +347,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [
     {
@@ -373,7 +356,7 @@
        "torch.Size([16, 690])"
       ]
      },
-     "execution_count": 24,
+     "execution_count": 13,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -384,28 +367,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [
     {
-     "ename": "TypeError",
-     "evalue": "forward() missing 2 required positional arguments: 'context' and 'context_mask'",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-29-2290911ad81b>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mtransformer_decoder\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcaption\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcontext\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mo\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;31m# (1, 1024, 20000)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
-      "\u001b[0;32m~/.cache/pypoetry/virtualenvs/text-recognizer-ejNaVa9M-py3.9/lib/python3.9/site-packages/torch/nn/modules/module.py\u001b[0m in \u001b[0;36m_call_impl\u001b[0;34m(self, *input, **kwargs)\u001b[0m\n\u001b[1;32m    887\u001b[0m             \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_slow_forward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0minput\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    888\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 889\u001b[0;31m             \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mforward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0minput\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    890\u001b[0m         for hook in itertools.chain(\n\u001b[1;32m    891\u001b[0m                 \u001b[0m_global_forward_hooks\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvalues\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/projects/text-recognizer/text_recognizer/networks/transformer/transformer.py\u001b[0m in \u001b[0;36mforward\u001b[0;34m(self, x, mask, return_embeddings, **kwargs)\u001b[0m\n\u001b[1;32m     58\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     59\u001b[0m         \u001b[0mx\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mproject_emb\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 60\u001b[0;31m         \u001b[0mx\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mattn_layers\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmask\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mmask\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     61\u001b[0m         \u001b[0mout\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlogits\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mreturn_embeddings\u001b[0m \u001b[0;32melse\u001b[0m \u001b[0mx\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     62\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mout\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/.cache/pypoetry/virtualenvs/text-recognizer-ejNaVa9M-py3.9/lib/python3.9/site-packages/torch/nn/modules/module.py\u001b[0m in \u001b[0;36m_call_impl\u001b[0;34m(self, *input, **kwargs)\u001b[0m\n\u001b[1;32m    887\u001b[0m             \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_slow_forward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0minput\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    888\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 889\u001b[0;31m             \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mforward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0minput\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    890\u001b[0m         for hook in itertools.chain(\n\u001b[1;32m    891\u001b[0m                 \u001b[0m_global_forward_hooks\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvalues\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/projects/text-recognizer/text_recognizer/networks/transformer/layers.py\u001b[0m in \u001b[0;36mforward\u001b[0;34m(self, x, context, mask, context_mask)\u001b[0m\n\u001b[1;32m     89\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     90\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mlayer_type\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;34m\"a\"\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 91\u001b[0;31m                 \u001b[0mout\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0m_\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mblock\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmask\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mmask\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrotary_pos_emb\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mrotary_pos_emb\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     92\u001b[0m             \u001b[0;32melif\u001b[0m \u001b[0mlayer_type\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;34m\"c\"\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     93\u001b[0m                 \u001b[0mout\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0m_\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mblock\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcontext\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mcontext\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmask\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mmask\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcontext_mask\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mcontext_mask\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/.cache/pypoetry/virtualenvs/text-recognizer-ejNaVa9M-py3.9/lib/python3.9/site-packages/torch/nn/modules/module.py\u001b[0m in \u001b[0;36m_call_impl\u001b[0;34m(self, *input, **kwargs)\u001b[0m\n\u001b[1;32m    887\u001b[0m             \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_slow_forward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0minput\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    888\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 889\u001b[0;31m             \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mforward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0minput\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    890\u001b[0m         for hook in itertools.chain(\n\u001b[1;32m    891\u001b[0m                 \u001b[0m_global_forward_hooks\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvalues\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;31mTypeError\u001b[0m: forward() missing 2 required positional arguments: 'context' and 'context_mask'"
-     ]
+     "data": {
+      "text/plain": [
+       "torch.Size([16, 690, 90])"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
     }
    ],
    "source": [
-    "transformer_decoder(caption, context = o) # (1, 1024, 20000)"
+    "transformer_decoder(caption, context = o).shape # (1, 1024, 20000)"
    ]
   },
   {
diff --git a/poetry.lock b/poetry.lock
index 1e7b234..c5514e4 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -29,14 +29,6 @@ yarl = ">=1.0,<2.0"
 speedups = ["aiodns", "brotlipy", "cchardet"]
 
 [[package]]
-name = "alabaster"
-version = "0.7.12"
-description = "A configurable sidebar-enabled Sphinx theme"
-category = "dev"
-optional = false
-python-versions = "*"
-
-[[package]]
 name = "antlr4-python3-runtime"
 version = "4.8"
 description = "ANTLR 4.8 runtime for Python 3.7"
@@ -46,7 +38,7 @@ python-versions = "*"
 
 [[package]]
 name = "anyio"
-version = "3.0.1"
+version = "3.1.0"
 description = "High level compatibility layer for multiple asynchronous event loop implementations"
 category = "dev"
 optional = false
@@ -58,7 +50,7 @@ sniffio = ">=1.1"
 
 [package.extras]
 doc = ["sphinx-rtd-theme", "sphinx-autodoc-typehints (>=1.2.0)"]
-test = ["coverage[toml] (>=4.5)", "hypothesis (>=4.0)", "pytest (>=6.0)", "trustme", "uvloop (<0.15)", "uvloop (>=0.15)"]
+test = ["coverage[toml] (>=4.5)", "hypothesis (>=4.0)", "pytest (>=6.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (<0.15)", "mock (>=4)", "uvloop (>=0.15)"]
 trio = ["trio (>=0.16)"]
 
 [[package]]
@@ -114,27 +106,27 @@ python-versions = ">=3.5.3"
 name = "atomicwrites"
 version = "1.4.0"
 description = "Atomic file writes."
-category = "main"
+category = "dev"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
 
 [[package]]
 name = "attrs"
-version = "20.3.0"
+version = "21.2.0"
 description = "Classes Without Boilerplate"
 category = "main"
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
 
 [package.extras]
-dev = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "six", "zope.interface", "furo", "sphinx", "pre-commit"]
-docs = ["furo", "sphinx", "zope.interface"]
-tests = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "six", "zope.interface"]
-tests_no_zope = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "six"]
+dev = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "six", "mypy", "pytest-mypy-plugins", "zope.interface", "furo", "sphinx", "sphinx-notfound-page", "pre-commit"]
+docs = ["furo", "sphinx", "zope.interface", "sphinx-notfound-page"]
+tests = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "six", "mypy", "pytest-mypy-plugins", "zope.interface"]
+tests_no_zope = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>=4.3.0)", "six", "mypy", "pytest-mypy-plugins"]
 
 [[package]]
 name = "babel"
-version = "2.9.0"
+version = "2.9.1"
 description = "Internationalization utilities"
 category = "dev"
 optional = false
@@ -209,7 +201,7 @@ python-versions = "*"
 
 [[package]]
 name = "cachetools"
-version = "4.2.1"
+version = "4.2.2"
 description = "Extensible memoizing collections and decorators"
 category = "main"
 optional = false
@@ -217,7 +209,7 @@ python-versions = "~=3.5"
 
 [[package]]
 name = "certifi"
-version = "2020.12.5"
+version = "2021.5.30"
 description = "Python package for providing Mozilla's CA Bundle."
 category = "main"
 optional = false
@@ -305,7 +297,7 @@ python-versions = ">=3.6,<4.0"
 
 [[package]]
 name = "decorator"
-version = "5.0.7"
+version = "5.0.9"
 description = "Decorators for Humans"
 category = "dev"
 optional = false
@@ -331,14 +323,6 @@ python-versions = "*"
 six = ">=1.4.0"
 
 [[package]]
-name = "docutils"
-version = "0.17"
-description = "Docutils -- Python Documentation Utilities"
-category = "dev"
-optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
-
-[[package]]
 name = "dparse"
 version = "0.5.1"
 description = "A parser for Python dependency files"
@@ -380,7 +364,7 @@ python-versions = ">=2.7"
 
 [[package]]
 name = "flake8"
-version = "3.9.0"
+version = "3.9.2"
 description = "the modular source code checker: pep8 pyflakes and co"
 category = "dev"
 optional = false
@@ -479,7 +463,7 @@ flake8 = "*"
 
 [[package]]
 name = "fsspec"
-version = "2021.4.0"
+version = "2021.6.0"
 description = "File-system specification"
 category = "main"
 optional = false
@@ -527,18 +511,18 @@ smmap = ">=3.0.1,<5"
 
 [[package]]
 name = "gitpython"
-version = "3.1.14"
+version = "3.1.17"
 description = "Python Git Library"
 category = "dev"
 optional = false
-python-versions = ">=3.4"
+python-versions = ">=3.5"
 
 [package.dependencies]
 gitdb = ">=4.0.1,<5"
 
 [[package]]
 name = "google-auth"
-version = "1.28.0"
+version = "1.30.1"
 description = "Google Authentication Library"
 category = "main"
 optional = false
@@ -553,6 +537,7 @@ six = ">=1.9.0"
 [package.extras]
 aiohttp = ["aiohttp (>=3.6.2,<4.0.0dev)"]
 pyopenssl = ["pyopenssl (>=20.0.0)"]
+reauth = ["pyu2f (>=0.1.5)"]
 
 [[package]]
 name = "google-auth-oauthlib"
@@ -571,7 +556,7 @@ tool = ["click (>=6.0.0)"]
 
 [[package]]
 name = "grpcio"
-version = "1.36.1"
+version = "1.38.0"
 description = "HTTP/2-based RPC framework"
 category = "main"
 optional = false
@@ -581,7 +566,7 @@ python-versions = "*"
 six = ">=1.5.2"
 
 [package.extras]
-protobuf = ["grpcio-tools (>=1.36.1)"]
+protobuf = ["grpcio-tools (>=1.38.0)"]
 
 [[package]]
 name = "gtn"
@@ -623,14 +608,6 @@ optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
 
 [[package]]
-name = "imagesize"
-version = "1.2.0"
-description = "Getting image size from png/jpeg/jpeg2000/gif file"
-category = "dev"
-optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
-
-[[package]]
 name = "ipykernel"
 version = "5.5.5"
 description = "IPython Kernel for Jupyter"
@@ -650,7 +627,7 @@ test = ["pytest (!=5.3.4)", "pytest-cov", "flaky", "nose", "jedi (<=0.17.2)"]
 
 [[package]]
 name = "ipython"
-version = "7.23.1"
+version = "7.24.1"
 description = "IPython: Productive Interactive Computing"
 category = "dev"
 optional = false
@@ -670,7 +647,7 @@ pygments = "*"
 traitlets = ">=4.2"
 
 [package.extras]
-all = ["Sphinx (>=1.3)", "ipykernel", "ipyparallel", "ipywidgets", "nbconvert", "nbformat", "nose (>=0.10.1)", "notebook", "numpy (>=1.16)", "pygments", "qtconsole", "requests", "testpath"]
+all = ["Sphinx (>=1.3)", "ipykernel", "ipyparallel", "ipywidgets", "nbconvert", "nbformat", "nose (>=0.10.1)", "notebook", "numpy (>=1.17)", "pygments", "qtconsole", "requests", "testpath"]
 doc = ["Sphinx (>=1.3)"]
 kernel = ["ipykernel"]
 nbconvert = ["nbconvert"]
@@ -678,7 +655,7 @@ nbformat = ["nbformat"]
 notebook = ["notebook", "ipywidgets"]
 parallel = ["ipyparallel"]
 qtconsole = ["qtconsole"]
-test = ["nose (>=0.10.1)", "requests", "testpath", "pygments", "nbformat", "ipykernel", "numpy (>=1.16)"]
+test = ["nose (>=0.10.1)", "requests", "testpath", "pygments", "nbformat", "ipykernel", "numpy (>=1.17)"]
 
 [[package]]
 name = "ipython-genutils"
@@ -705,17 +682,17 @@ testing = ["Django (<3.1)", "colorama", "docopt", "pytest (<6.0.0)"]
 
 [[package]]
 name = "jinja2"
-version = "2.11.3"
+version = "3.0.1"
 description = "A very fast and expressive template engine."
 category = "dev"
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+python-versions = ">=3.6"
 
 [package.dependencies]
-MarkupSafe = ">=0.23"
+MarkupSafe = ">=2.0"
 
 [package.extras]
-i18n = ["Babel (>=0.8)"]
+i18n = ["Babel (>=2.7)"]
 
 [[package]]
 name = "joblib"
@@ -787,14 +764,14 @@ traitlets = "*"
 
 [[package]]
 name = "jupyter-server"
-version = "1.7.0"
+version = "1.8.0"
 description = "The backend—i.e. core services, APIs, and REST endpoints—to Jupyter web applications."
 category = "dev"
 optional = false
 python-versions = ">=3.6"
 
 [package.dependencies]
-anyio = {version = ">=3.0.1,<4", markers = "python_version >= \"3.7\""}
+anyio = ">=3.1.0,<4"
 argon2-cffi = "*"
 ipython-genutils = "*"
 jinja2 = "*"
@@ -815,7 +792,7 @@ test = ["coverage", "pytest", "pytest-cov", "pytest-mock", "requests", "pytest-t
 
 [[package]]
 name = "jupyterlab"
-version = "3.0.15"
+version = "3.0.16"
 description = "JupyterLab computational environment"
 category = "dev"
 optional = false
@@ -847,7 +824,7 @@ pygments = ">=2.4.1,<3"
 
 [[package]]
 name = "jupyterlab-server"
-version = "2.5.1"
+version = "2.6.0"
 description = "A set of server components for JupyterLab and JupyterLab like applications ."
 category = "dev"
 optional = false
@@ -909,15 +886,15 @@ testing = ["coverage", "pyyaml"]
 
 [[package]]
 name = "markupsafe"
-version = "1.1.1"
+version = "2.0.1"
 description = "Safely add untrusted strings to HTML/XML markup."
 category = "dev"
 optional = false
-python-versions = ">=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*"
+python-versions = ">=3.6"
 
 [[package]]
 name = "matplotlib"
-version = "3.4.1"
+version = "3.4.2"
 description = "Python plotting package"
 category = "main"
 optional = false
@@ -960,9 +937,9 @@ python-versions = "*"
 
 [[package]]
 name = "more-itertools"
-version = "8.7.0"
+version = "8.8.0"
 description = "More routines for operating on iterables, beyond itertools"
-category = "main"
+category = "dev"
 optional = false
 python-versions = ">=3.5"
 
@@ -1000,14 +977,14 @@ python-versions = "*"
 
 [[package]]
 name = "nbclassic"
-version = "0.2.8"
+version = "0.3.1"
 description = "Jupyter Notebook as a Jupyter Server Extension."
 category = "dev"
 optional = false
 python-versions = ">=3.6"
 
 [package.dependencies]
-jupyter-server = ">=1.5,<2.0"
+jupyter-server = ">=1.8,<2.0"
 notebook = "<7"
 
 [package.extras]
@@ -1091,11 +1068,11 @@ python-versions = ">=3.5"
 
 [[package]]
 name = "nltk"
-version = "3.5"
+version = "3.6.2"
 description = "Natural Language Toolkit"
 category = "main"
 optional = false
-python-versions = "*"
+python-versions = ">=3.5.*"
 
 [package.dependencies]
 click = "*"
@@ -1104,16 +1081,16 @@ regex = "*"
 tqdm = "*"
 
 [package.extras]
-all = ["requests", "numpy", "python-crfsuite", "scikit-learn", "twython", "pyparsing", "scipy", "matplotlib", "gensim"]
+all = ["matplotlib", "twython", "scipy", "numpy", "gensim (<4.0.0)", "python-crfsuite", "pyparsing", "scikit-learn", "requests"]
 corenlp = ["requests"]
-machine_learning = ["gensim", "numpy", "python-crfsuite", "scikit-learn", "scipy"]
+machine_learning = ["gensim (<4.0.0)", "numpy", "python-crfsuite", "scikit-learn", "scipy"]
 plot = ["matplotlib"]
 tgrep = ["pyparsing"]
 twitter = ["twython"]
 
 [[package]]
 name = "notebook"
-version = "6.3.0"
+version = "6.4.0"
 description = "A web-based notebook environment for interactive computing"
 category = "dev"
 optional = false
@@ -1136,13 +1113,13 @@ tornado = ">=6.1"
 traitlets = ">=4.2.1"
 
 [package.extras]
-docs = ["sphinx", "nbsphinx", "sphinxcontrib-github-alt", "sphinx-rtd-theme"]
+docs = ["sphinx", "nbsphinx", "sphinxcontrib-github-alt", "sphinx-rtd-theme", "myst-parser"]
 json-logging = ["json-logging"]
 test = ["pytest", "coverage", "requests", "nbval", "selenium", "pytest-cov", "requests-unixsocket"]
 
 [[package]]
 name = "numpy"
-version = "1.20.2"
+version = "1.20.3"
 description = "NumPy is the fundamental package for array computing with Python."
 category = "main"
 optional = false
@@ -1150,16 +1127,16 @@ python-versions = ">=3.7"
 
 [[package]]
 name = "oauthlib"
-version = "3.1.0"
+version = "3.1.1"
 description = "A generic, spec-compliant, thorough implementation of the OAuth request-signing logic"
 category = "main"
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+python-versions = ">=3.6"
 
 [package.extras]
-rsa = ["cryptography"]
-signals = ["blinker"]
-signedtoken = ["cryptography", "pyjwt (>=1.0.0)"]
+rsa = ["cryptography (>=3.0.0,<4)"]
+signals = ["blinker (>=1.4.0)"]
+signedtoken = ["cryptography (>=3.0.0,<4)", "pyjwt (>=2.0.0,<3)"]
 
 [[package]]
 name = "omegaconf"
@@ -1175,14 +1152,14 @@ typing-extensions = "*"
 
 [[package]]
 name = "opencv-python"
-version = "4.5.1.48"
+version = "4.5.2.54"
 description = "Wrapper package for OpenCV python bindings."
 category = "main"
 optional = false
 python-versions = ">=3.6"
 
 [package.dependencies]
-numpy = ">=1.19.3"
+numpy = ">=1.13.3"
 
 [[package]]
 name = "packaging"
@@ -1233,7 +1210,7 @@ python-versions = "*"
 
 [[package]]
 name = "pbr"
-version = "5.5.1"
+version = "5.6.0"
 description = "Python Build Reasonableness"
 category = "dev"
 optional = false
@@ -1270,7 +1247,7 @@ python-versions = ">=3.6"
 name = "pluggy"
 version = "0.13.1"
 description = "plugin and hook calling mechanisms for python"
-category = "main"
+category = "dev"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
 
@@ -1279,7 +1256,7 @@ dev = ["pre-commit", "tox"]
 
 [[package]]
 name = "prometheus-client"
-version = "0.10.1"
+version = "0.11.0"
 description = "Python client for the Prometheus monitoring system."
 category = "dev"
 optional = false
@@ -1315,7 +1292,7 @@ wcwidth = "*"
 
 [[package]]
 name = "protobuf"
-version = "3.15.7"
+version = "3.17.2"
 description = "Protocol Buffers"
 category = "main"
 optional = false
@@ -1347,7 +1324,7 @@ python-versions = "*"
 name = "py"
 version = "1.10.0"
 description = "library with cross-python path, ini-parsing, io, code, log facilities"
-category = "main"
+category = "dev"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
 
@@ -1396,7 +1373,7 @@ python-versions = ">=3.6"
 
 [[package]]
 name = "pydocstyle"
-version = "6.0.0"
+version = "6.1.1"
 description = "Python docstring style checker"
 category = "dev"
 optional = false
@@ -1405,6 +1382,9 @@ python-versions = ">=3.6"
 [package.dependencies]
 snowballstemmer = "*"
 
+[package.extras]
+toml = ["toml"]
+
 [[package]]
 name = "pyflakes"
 version = "2.3.1"
@@ -1415,7 +1395,7 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
 
 [[package]]
 name = "pygments"
-version = "2.8.1"
+version = "2.9.0"
 description = "Pygments is a syntax highlighting package written in Python."
 category = "dev"
 optional = false
@@ -1441,7 +1421,7 @@ python-versions = ">=3.5"
 name = "pytest"
 version = "5.4.3"
 description = "pytest: simple powerful testing with Python"
-category = "main"
+category = "dev"
 optional = false
 python-versions = ">=3.5"
 
@@ -1461,7 +1441,7 @@ testing = ["argcomplete", "hypothesis (>=3.56)", "mock", "nose", "requests", "xm
 
 [[package]]
 name = "pytest-cov"
-version = "2.11.1"
+version = "2.12.1"
 description = "Pytest plugin for measuring coverage."
 category = "dev"
 optional = false
@@ -1470,17 +1450,18 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
 [package.dependencies]
 coverage = ">=5.2.1"
 pytest = ">=4.6"
+toml = "*"
 
 [package.extras]
-testing = ["fields", "hunter", "process-tests (==2.0.2)", "six", "pytest-xdist", "virtualenv"]
+testing = ["fields", "hunter", "process-tests", "six", "pytest-xdist", "virtualenv"]
 
 [[package]]
 name = "pytest-mock"
-version = "3.5.1"
+version = "3.6.1"
 description = "Thin-wrapper around the mock package for easier use with pytest"
 category = "dev"
 optional = false
-python-versions = ">=3.5"
+python-versions = ">=3.6"
 
 [package.dependencies]
 pytest = ">=5.0"
@@ -1501,7 +1482,7 @@ six = ">=1.5"
 
 [[package]]
 name = "pytorch-lightning"
-version = "1.3.1"
+version = "1.3.4"
 description = "PyTorch Lightning is the lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate."
 category = "main"
 optional = false
@@ -1539,7 +1520,7 @@ python-versions = "*"
 
 [[package]]
 name = "pywin32"
-version = "300"
+version = "301"
 description = "Python for Window Extensions"
 category = "dev"
 optional = false
@@ -1547,23 +1528,23 @@ python-versions = "*"
 
 [[package]]
 name = "pywinpty"
-version = "0.5.7"
-description = "Python bindings for the winpty library"
+version = "1.1.1"
+description = "Pseudo terminal support for Windows from Python."
 category = "dev"
 optional = false
-python-versions = "*"
+python-versions = ">=3.6"
 
 [[package]]
 name = "pyyaml"
-version = "5.3.1"
+version = "5.4.1"
 description = "YAML parser and emitter for Python"
 category = "main"
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*"
 
 [[package]]
 name = "pyzmq"
-version = "22.0.3"
+version = "22.1.0"
 description = "Python bindings for 0MQ"
 category = "dev"
 optional = false
@@ -1575,7 +1556,7 @@ py = {version = "*", markers = "implementation_name == \"pypy\""}
 
 [[package]]
 name = "regex"
-version = "2021.3.17"
+version = "2021.4.4"
 description = "Alternative regular expression module, to replace re."
 category = "main"
 optional = false
@@ -1668,7 +1649,7 @@ python-versions = "*"
 
 [[package]]
 name = "sentry-sdk"
-version = "1.0.0"
+version = "1.1.0"
 description = "Python client for Sentry (https://sentry.io)"
 category = "dev"
 optional = false
@@ -1704,7 +1685,7 @@ python-versions = ">=3.5"
 
 [[package]]
 name = "six"
-version = "1.15.0"
+version = "1.16.0"
 description = "Python 2 and 3 compatibility utilities"
 category = "main"
 optional = false
@@ -1735,108 +1716,6 @@ optional = false
 python-versions = "*"
 
 [[package]]
-name = "sphinx"
-version = "3.5.3"
-description = "Python documentation generator"
-category = "dev"
-optional = false
-python-versions = ">=3.5"
-
-[package.dependencies]
-alabaster = ">=0.7,<0.8"
-babel = ">=1.3"
-colorama = {version = ">=0.3.5", markers = "sys_platform == \"win32\""}
-docutils = ">=0.12"
-imagesize = "*"
-Jinja2 = ">=2.3"
-packaging = "*"
-Pygments = ">=2.0"
-requests = ">=2.5.0"
-snowballstemmer = ">=1.1"
-sphinxcontrib-applehelp = "*"
-sphinxcontrib-devhelp = "*"
-sphinxcontrib-htmlhelp = "*"
-sphinxcontrib-jsmath = "*"
-sphinxcontrib-qthelp = "*"
-sphinxcontrib-serializinghtml = "*"
-
-[package.extras]
-docs = ["sphinxcontrib-websupport"]
-lint = ["flake8 (>=3.5.0)", "isort", "mypy (>=0.800)", "docutils-stubs"]
-test = ["pytest", "pytest-cov", "html5lib", "cython", "typed-ast"]
-
-[[package]]
-name = "sphinxcontrib-applehelp"
-version = "1.0.2"
-description = "sphinxcontrib-applehelp is a sphinx extension which outputs Apple help books"
-category = "dev"
-optional = false
-python-versions = ">=3.5"
-
-[package.extras]
-lint = ["flake8", "mypy", "docutils-stubs"]
-test = ["pytest"]
-
-[[package]]
-name = "sphinxcontrib-devhelp"
-version = "1.0.2"
-description = "sphinxcontrib-devhelp is a sphinx extension which outputs Devhelp document."
-category = "dev"
-optional = false
-python-versions = ">=3.5"
-
-[package.extras]
-lint = ["flake8", "mypy", "docutils-stubs"]
-test = ["pytest"]
-
-[[package]]
-name = "sphinxcontrib-htmlhelp"
-version = "1.0.3"
-description = "sphinxcontrib-htmlhelp is a sphinx extension which renders HTML help files"
-category = "dev"
-optional = false
-python-versions = ">=3.5"
-
-[package.extras]
-lint = ["flake8", "mypy", "docutils-stubs"]
-test = ["pytest", "html5lib"]
-
-[[package]]
-name = "sphinxcontrib-jsmath"
-version = "1.0.1"
-description = "A sphinx extension which renders display math in HTML via JavaScript"
-category = "dev"
-optional = false
-python-versions = ">=3.5"
-
-[package.extras]
-test = ["pytest", "flake8", "mypy"]
-
-[[package]]
-name = "sphinxcontrib-qthelp"
-version = "1.0.3"
-description = "sphinxcontrib-qthelp is a sphinx extension which outputs QtHelp document."
-category = "dev"
-optional = false
-python-versions = ">=3.5"
-
-[package.extras]
-lint = ["flake8", "mypy", "docutils-stubs"]
-test = ["pytest"]
-
-[[package]]
-name = "sphinxcontrib-serializinghtml"
-version = "1.1.4"
-description = "sphinxcontrib-serializinghtml is a sphinx extension which outputs \"serialized\" HTML files (json and pickle)."
-category = "dev"
-optional = false
-python-versions = ">=3.5"
-
-[package.extras]
-lint = ["flake8", "mypy", "docutils-stubs"]
-test = ["pytest"]
-
-[[package]]
 name = "stevedore"
 version = "3.3.0"
 description = "Manage dynamic plugins for Python applications"
@@ -1886,7 +1765,7 @@ python-versions = "*"
 
 [[package]]
 name = "terminado"
-version = "0.9.5"
+version = "0.10.0"
 description = "Tornado websocket backend for the Xterm.js Javascript terminal emulator library."
 category = "dev"
 optional = false
@@ -1894,7 +1773,7 @@ python-versions = ">=3.6"
 
 [package.dependencies]
 ptyprocess = {version = "*", markers = "os_name != \"nt\""}
-pywinpty = {version = ">=0.5,<1", markers = "os_name == \"nt\""}
+pywinpty = {version = ">=1.1.0", markers = "os_name == \"nt\""}
 tornado = ">=4"
 
 [package.extras]
@@ -1902,14 +1781,14 @@ test = ["pytest"]
 
 [[package]]
 name = "testpath"
-version = "0.4.4"
+version = "0.5.0"
 description = "Test utilities for code working with files and commands"
 category = "dev"
 optional = false
-python-versions = "*"
+python-versions = ">= 3.5"
 
 [package.extras]
-test = ["pathlib2"]
+test = ["pytest", "pathlib2"]
 
 [[package]]
 name = "toml"
@@ -1976,7 +1855,7 @@ python-versions = ">= 3.5"
 
 [[package]]
 name = "tqdm"
-version = "4.59.0"
+version = "4.61.0"
 description = "Fast, Extensible Progress Meter"
 category = "main"
 optional = false
@@ -2003,7 +1882,7 @@ test = ["pytest"]
 
 [[package]]
 name = "typed-ast"
-version = "1.4.2"
+version = "1.4.3"
 description = "a fork of Python 2 and 3 ast modules with type comment support"
 category = "dev"
 optional = false
@@ -2011,7 +1890,7 @@ python-versions = "*"
 
 [[package]]
 name = "typeguard"
-version = "2.12.0"
+version = "2.12.1"
 description = "Run-time type checker for Python"
 category = "dev"
 optional = false
@@ -2023,7 +1902,7 @@ test = ["pytest", "typing-extensions", "mypy"]
 
 [[package]]
 name = "typing-extensions"
-version = "3.7.4.3"
+version = "3.10.0.0"
 description = "Backported and Experimental Type Hints for Python 3.5+"
 category = "main"
 optional = false
@@ -2031,20 +1910,20 @@ python-versions = "*"
 
 [[package]]
 name = "urllib3"
-version = "1.26.4"
+version = "1.26.5"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
 category = "main"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, <4"
 
 [package.extras]
+brotli = ["brotlipy (>=0.6.0)"]
 secure = ["pyOpenSSL (>=0.14)", "cryptography (>=1.3.4)", "idna (>=2.0.0)", "certifi", "ipaddress"]
 socks = ["PySocks (>=1.5.6,!=1.5.7,<2.0)"]
-brotli = ["brotlipy (>=0.6.0)"]
 
 [[package]]
 name = "wandb"
-version = "0.10.30"
+version = "0.10.31"
 description = "A CLI and library for interacting with the Weights and Biases API."
 category = "dev"
 optional = false
@@ -2073,12 +1952,13 @@ gcp = ["google-cloud-storage"]
 grpc = ["grpcio (==1.27.2)"]
 kubeflow = ["kubernetes", "minio", "google-cloud-storage", "sh"]
 media = ["numpy", "moviepy", "pillow", "bokeh", "soundfile", "plotly"]
+sweeps = ["numpy"]
 
 [[package]]
 name = "wcwidth"
 version = "0.2.5"
 description = "Measures the displayed width of unicode strings in a terminal"
-category = "main"
+category = "dev"
 optional = false
 python-versions = "*"
 
@@ -2092,25 +1972,21 @@ python-versions = "*"
 
 [[package]]
 name = "websocket-client"
-version = "0.59.0"
+version = "1.0.1"
 description = "WebSocket client for Python with low level API options"
 category = "dev"
 optional = false
-python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
-
-[package.dependencies]
-six = "*"
+python-versions = ">=3.6"
 
 [[package]]
 name = "werkzeug"
-version = "1.0.1"
+version = "2.0.1"
 description = "The comprehensive WSGI web application library."
 category = "main"
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+python-versions = ">=3.6"
 
 [package.extras]
-dev = ["pytest", "pytest-timeout", "coverage", "tox", "sphinx", "pallets-sphinx-themes", "sphinx-issues"]
 watchdog = ["watchdog"]
 
 [[package]]
@@ -2125,22 +2001,6 @@ python-versions = ">=3.5"
 dev = ["pytest (>=4.6.2)", "black (>=19.3b0)"]
 
 [[package]]
-name = "xdoctest"
-version = "0.12.0"
-description = "A rewrite of the builtin doctest module"
-category = "dev"
-optional = false
-python-versions = "*"
-
-[package.dependencies]
-six = "*"
-
-[package.extras]
-all = ["six", "pytest", "pytest-cov", "codecov", "scikit-build", "cmake", "ninja", "pybind11", "pygments", "colorama"]
-optional = ["pygments", "colorama"]
-tests = ["pytest", "pytest-cov", "codecov", "scikit-build", "cmake", "ninja", "pybind11"]
-
-[[package]]
 name = "yarl"
 version = "1.6.3"
 description = "Yet another URL library"
@@ -2155,7 +2015,7 @@ multidict = ">=4.0"
 [metadata]
 lock-version = "1.1"
 python-versions = "^3.9"
-content-hash = "6fecb8ebf400e45834031bfb2e736504d667c5410b94f44bd105432220c015a0"
+content-hash = "0b76af27790f047f73c12683d3a3271cacfe8bbbb8d9ddb977a985f3b174a60e"
 
 [metadata.files]
 absl-py = [
@@ -2201,16 +2061,12 @@ aiohttp = [
     {file = "aiohttp-3.7.4.post0-cp39-cp39-win_amd64.whl", hash = "sha256:02f46fc0e3c5ac58b80d4d56eb0a7c7d97fcef69ace9326289fb9f1955e65cfe"},
     {file = "aiohttp-3.7.4.post0.tar.gz", hash = "sha256:493d3299ebe5f5a7c66b9819eacdcfbbaaf1a8e84911ddffcdc48888497afecf"},
 ]
-alabaster = [
-    {file = "alabaster-0.7.12-py2.py3-none-any.whl", hash = "sha256:446438bdcca0e05bd45ea2de1668c1d9b032e1a9154c2c259092d77031ddd359"},
-    {file = "alabaster-0.7.12.tar.gz", hash = "sha256:a661d72d58e6ea8a57f7a86e37d86716863ee5e92788398526d58b26a4e4dc02"},
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+    {file = "typed_ast-1.4.3-cp39-cp39-win_amd64.whl", hash = "sha256:9c6d1a54552b5330bc657b7ef0eae25d00ba7ffe85d9ea8ae6540d2197a3788c"},
+    {file = "typed_ast-1.4.3.tar.gz", hash = "sha256:fb1bbeac803adea29cedd70781399c99138358c26d05fcbd23c13016b7f5ec65"},
 ]
 typeguard = [
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-    {file = "typeguard-2.12.0.tar.gz", hash = "sha256:fca77fd4ccba63465b421cdbbab5a1a8e3994e6d6f18b45da2bb475c09f147ef"},
+    {file = "typeguard-2.12.1-py3-none-any.whl", hash = "sha256:cc15ef2704c9909ef9c80e19c62fb8468c01f75aad12f651922acf4dbe822e02"},
+    {file = "typeguard-2.12.1.tar.gz", hash = "sha256:c2af8b9bdd7657f4bd27b45336e7930171aead796711bc4cfc99b4731bb9d051"},
 ]
 typing-extensions = [
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-    {file = "typing_extensions-3.7.4.3.tar.gz", hash = "sha256:99d4073b617d30288f569d3f13d2bd7548c3a7e4c8de87db09a9d29bb3a4a60c"},
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+    {file = "typing_extensions-3.10.0.0.tar.gz", hash = "sha256:50b6f157849174217d0656f99dc82fe932884fb250826c18350e159ec6cdf342"},
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 urllib3 = [
-    {file = "urllib3-1.26.4-py2.py3-none-any.whl", hash = "sha256:2f4da4594db7e1e110a944bb1b551fdf4e6c136ad42e4234131391e21eb5b0df"},
-    {file = "urllib3-1.26.4.tar.gz", hash = "sha256:e7b021f7241115872f92f43c6508082facffbd1c048e3c6e2bb9c2a157e28937"},
+    {file = "urllib3-1.26.5-py2.py3-none-any.whl", hash = "sha256:753a0374df26658f99d826cfe40394a686d05985786d946fbe4165b5148f5a7c"},
+    {file = "urllib3-1.26.5.tar.gz", hash = "sha256:a7acd0977125325f516bda9735fa7142b909a8d01e8b2e4c8108d0984e6e0098"},
 ]
 wandb = [
-    {file = "wandb-0.10.30-py2.py3-none-any.whl", hash = "sha256:b3108a2d347fe7a522b29eb9d85ffa10930e6fc5dc4d9fa8b1d828a4fd705b0f"},
-    {file = "wandb-0.10.30.tar.gz", hash = "sha256:94e1989aabefb9068c8d8c5307dc2303fc352a2f856d82f561dd8c7ad59163f0"},
+    {file = "wandb-0.10.31-py2.py3-none-any.whl", hash = "sha256:7a52bf0c853130f65be106c32bea4f4b56bda66c0151b4d1234c08467a403269"},
+    {file = "wandb-0.10.31.tar.gz", hash = "sha256:da706a93b02966085f1849798d7eeb4dc8fb96830b4cfe50099aa514bd57a188"},
 ]
 wcwidth = [
     {file = "wcwidth-0.2.5-py2.py3-none-any.whl", hash = "sha256:beb4802a9cebb9144e99086eff703a642a13d6a0052920003a230f3294bbe784"},
@@ -3589,21 +3420,17 @@ webencodings = [
     {file = "webencodings-0.5.1.tar.gz", hash = "sha256:b36a1c245f2d304965eb4e0a82848379241dc04b865afcc4aab16748587e1923"},
 ]
 websocket-client = [
-    {file = "websocket-client-0.59.0.tar.gz", hash = "sha256:d376bd60eace9d437ab6d7ee16f4ab4e821c9dae591e1b783c58ebd8aaf80c5c"},
-    {file = "websocket_client-0.59.0-py2.py3-none-any.whl", hash = "sha256:2e50d26ca593f70aba7b13a489435ef88b8fc3b5c5643c1ce8808ff9b40f0b32"},
+    {file = "websocket-client-1.0.1.tar.gz", hash = "sha256:3e2bf58191d4619b161389a95bdce84ce9e0b24eb8107e7e590db682c2d0ca81"},
+    {file = "websocket_client-1.0.1-py2.py3-none-any.whl", hash = "sha256:abf306dc6351dcef07f4d40453037e51cc5d9da2ef60d0fc5d0fe3bcda255372"},
 ]
 werkzeug = [
-    {file = "Werkzeug-1.0.1-py2.py3-none-any.whl", hash = "sha256:2de2a5db0baeae7b2d2664949077c2ac63fbd16d98da0ff71837f7d1dea3fd43"},
-    {file = "Werkzeug-1.0.1.tar.gz", hash = "sha256:6c80b1e5ad3665290ea39320b91e1be1e0d5f60652b964a3070216de83d2e47c"},
+    {file = "Werkzeug-2.0.1-py3-none-any.whl", hash = "sha256:6c1ec500dcdba0baa27600f6a22f6333d8b662d22027ff9f6202e3367413caa8"},
+    {file = "Werkzeug-2.0.1.tar.gz", hash = "sha256:1de1db30d010ff1af14a009224ec49ab2329ad2cde454c8a708130642d579c42"},
 ]
 win32-setctime = [
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     {file = "win32_setctime-1.0.3.tar.gz", hash = "sha256:4e88556c32fdf47f64165a2180ba4552f8bb32c1103a2fafd05723a0bd42bd4b"},
 ]
-xdoctest = [
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-    {file = "xdoctest-0.12.0.tar.gz", hash = "sha256:2d985d8d78d4444079d3b072965327ab06a5e6dcb4882f3561d7596eb4da6b13"},
-]
 yarl = [
     {file = "yarl-1.6.3-cp36-cp36m-macosx_10_14_x86_64.whl", hash = "sha256:0355a701b3998dcd832d0dc47cc5dedf3874f966ac7f870e0f3a6788d802d434"},
     {file = "yarl-1.6.3-cp36-cp36m-manylinux1_i686.whl", hash = "sha256:bafb450deef6861815ed579c7a6113a879a6ef58aed4c3a4be54400ae8871478"},
diff --git a/pyproject.toml b/pyproject.toml
index c3f6ebc..6b5f62b 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -15,12 +15,11 @@ click = "^7.1.2"
 boltons = "^20.1.0"
 h5py = "^3.2.1"
 toml = "^0.10.1"
-torch = "^1.8.0"
+torch = "^1.8.1"
 torchvision = "^0.9.0"
 loguru = "^0.5.0"
 matplotlib = "^3.2.1"
 tqdm = "^4.46.1"
-pytest = "^5.4.3"
 opencv-python = "^4.3.0"
 nltk = "^3.5"
 torch-summary = "^1.4.2"
@@ -29,7 +28,7 @@ omegaconf = "^2.0.2"
 einops = "^0.3.0"
 gtn = "^0.0.0"
 sentencepiece = "^0.1.95"
-pytorch-lightning = "^1.3.1"
+pytorch-lightning = "^1.3.4"
 Pillow = "^8.1.2"
 madgrad = "^1.0"
 editdistance = "^0.5.3"
@@ -49,10 +48,7 @@ flake8-bugbear = "^20.1.4"
 flake8-import-order = "^0.18.1"
 safety = "^1.9.0"
 mypy = "^0.770"
-pytype = {version = "^2020.5.13", python = "3.7"}
 typeguard = "^2.7.1"
-xdoctest = "^0.12.0"
-sphinx = "^3.0.4"
 wandb = "^0.10.30"
 scipy = "^1.6.1"
 flake8-annotations = "^2.6.2"
diff --git a/text_recognizer/networks/transformer/attention.py b/text_recognizer/networks/transformer/attention.py
index a3b53f0..7bafc58 100644
--- a/text_recognizer/networks/transformer/attention.py
+++ b/text_recognizer/networks/transformer/attention.py
@@ -91,12 +91,12 @@ class Attention(nn.Module):
     def forward(
         self,
         x: Tensor,
-        context: Optional[Tensor],
-        mask: Optional[Tensor],
-        context_mask: Optional[Tensor],
+        context: Optional[Tensor] = None,
+        mask: Optional[Tensor] = None,
+        context_mask: Optional[Tensor] = None,
         rotary_pos_emb: Optional[Tensor] = None,
     ) -> Tuple[Tensor, Tensor]:
-        b, n, _, device = x.shape, x.device
+        b, n, _, device = *x.shape, x.device
         q, k, v = self.qkv_fn(x)
         q, k = (
             self._apply_rotary_emb(q, k, rotary_pos_emb)
diff --git a/text_recognizer/networks/transformer/nystromer/attention.py b/text_recognizer/networks/transformer/nystromer/attention.py
index 5ab19cf..695a0d7 100644
--- a/text_recognizer/networks/transformer/nystromer/attention.py
+++ b/text_recognizer/networks/transformer/nystromer/attention.py
@@ -47,6 +47,7 @@ class NystromAttention(nn.Module):
         dropout_rate: float = 0.0,
     ):
         super().__init__()
+        self.dim = dim
         self.residual = None
         self.eps = eps
         self.num_heads = num_heads
diff --git a/text_recognizer/networks/transformer/nystromer/nystromer.py b/text_recognizer/networks/transformer/nystromer/nystromer.py
index 799a811..2113f1f 100644
--- a/text_recognizer/networks/transformer/nystromer/nystromer.py
+++ b/text_recognizer/networks/transformer/nystromer/nystromer.py
@@ -29,6 +29,7 @@ class Nystromer(nn.Module):
         glu: bool = True,
     ) -> None:
         super().__init__()
+        self.dim = dim
         self.layers = nn.ModuleList(
             [
                 nn.ModuleList(