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-rw-r--r--README.md10
-rw-r--r--notebooks/00-scratch-pad.ipynb268
-rw-r--r--poetry.lock630
-rw-r--r--pyproject.toml21
4 files changed, 507 insertions, 422 deletions
diff --git a/README.md b/README.md
index ed93955..1c6c0ef 100644
--- a/README.md
+++ b/README.md
@@ -11,24 +11,24 @@ TBC
Extract text from the iam dataset:
```
-poetry run python extract-iam-text --use_words --save_text train.txt --save_tokens letters.txt
+python extract-iam-text --use_words --save_text train.txt --save_tokens letters.txt
```
Create word pieces from the extracted training text:
```
-poetry run python make-wordpieces --output_prefix iamdb_1kwp --text_file train.txt --num_pieces 100
+python make-wordpieces --output_prefix iamdb_1kwp --text_file train.txt --num_pieces 100
```
Optionally, build a transition graph for word pieces:
```
-poetry run python build-transitions --tokens iamdb_1kwp_tokens_1000.txt --lexicon iamdb_1kwp_lex_1000.txt --blank optional --self_loops --save_path 1kwp_prune_0_10_optblank.bin --prune 0 10
+python build-transitions --tokens iamdb_1kwp_tokens_1000.txt --lexicon iamdb_1kwp_lex_1000.txt --blank optional --self_loops --save_path 1kwp_prune_0_10_optblank.bin --prune 0 10
```
(TODO: Not working atm, needed for GTN loss function)
## Todo
- [ ] Reimplement transformer from scratch
-- [ ] Implement Nyström attention (for efficient attention)
-- [ ] Dino
+- [x] Implement Nyström attention (for efficient attention)
+- [ ] Implement Dino
- [ ] Efficient-net b0 + transformer decoder
- [ ] Test encoder pre-training ViT (CvT?) with Dino, then train decoder in a separate step
diff --git a/notebooks/00-scratch-pad.ipynb b/notebooks/00-scratch-pad.ipynb
index 0a68168..3c44f2b 100644
--- a/notebooks/00-scratch-pad.ipynb
+++ b/notebooks/00-scratch-pad.ipynb
@@ -2,9 +2,18 @@
"cells": [
{
"cell_type": "code",
- "execution_count": 1,
+ "execution_count": 6,
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "The autoreload extension is already loaded. To reload it, use:\n",
+ " %reload_ext autoreload\n"
+ ]
+ }
+ ],
"source": [
"%load_ext autoreload\n",
"%autoreload 2\n",
@@ -25,7 +34,216 @@
},
{
"cell_type": "code",
- "execution_count": 2,
+ "execution_count": 7,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "True"
+ ]
+ },
+ "execution_count": 7,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "torch.cuda.is_available()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 8,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "from text_recognizer.networks.transformer.layers import Decoder"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 13,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "decoder = Decoder(dim=256, depth=4, num_heads=8, ff_kwargs={}, attn_kwargs={}, cross_attend=True)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 14,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "Decoder(\n",
+ " (layers): ModuleList(\n",
+ " (0): ModuleList(\n",
+ " (0): LayerNorm((256,), eps=1e-05, elementwise_affine=True)\n",
+ " (1): Attention(\n",
+ " (qkv_fn): Sequential(\n",
+ " (0): Linear(in_features=256, out_features=49152, 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=16384, out_features=256, bias=True)\n",
+ " )\n",
+ " (2): Residual()\n",
+ " )\n",
+ " (1): ModuleList(\n",
+ " (0): LayerNorm((256,), eps=1e-05, elementwise_affine=True)\n",
+ " (1): Attention(\n",
+ " (qkv_fn): Sequential(\n",
+ " (0): Linear(in_features=256, out_features=49152, 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=16384, out_features=256, bias=True)\n",
+ " )\n",
+ " (2): Residual()\n",
+ " )\n",
+ " (2): ModuleList(\n",
+ " (0): LayerNorm((256,), eps=1e-05, elementwise_affine=True)\n",
+ " (1): FeedForward(\n",
+ " (mlp): Sequential(\n",
+ " (0): GEGLU(\n",
+ " (fc): Linear(in_features=256, out_features=2048, bias=True)\n",
+ " )\n",
+ " (1): Dropout(p=0.0, inplace=False)\n",
+ " (2): Linear(in_features=1024, out_features=256, bias=True)\n",
+ " )\n",
+ " )\n",
+ " (2): Residual()\n",
+ " )\n",
+ " (3): ModuleList(\n",
+ " (0): LayerNorm((256,), eps=1e-05, elementwise_affine=True)\n",
+ " (1): Attention(\n",
+ " (qkv_fn): Sequential(\n",
+ " (0): Linear(in_features=256, out_features=49152, 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=16384, out_features=256, bias=True)\n",
+ " )\n",
+ " (2): Residual()\n",
+ " )\n",
+ " (4): ModuleList(\n",
+ " (0): LayerNorm((256,), eps=1e-05, elementwise_affine=True)\n",
+ " (1): Attention(\n",
+ " (qkv_fn): Sequential(\n",
+ " (0): Linear(in_features=256, out_features=49152, 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=16384, out_features=256, bias=True)\n",
+ " )\n",
+ " (2): Residual()\n",
+ " )\n",
+ " (5): ModuleList(\n",
+ " (0): LayerNorm((256,), eps=1e-05, elementwise_affine=True)\n",
+ " (1): FeedForward(\n",
+ " (mlp): Sequential(\n",
+ " (0): GEGLU(\n",
+ " (fc): Linear(in_features=256, out_features=2048, bias=True)\n",
+ " )\n",
+ " (1): Dropout(p=0.0, inplace=False)\n",
+ " (2): Linear(in_features=1024, out_features=256, bias=True)\n",
+ " )\n",
+ " )\n",
+ " (2): Residual()\n",
+ " )\n",
+ " (6): ModuleList(\n",
+ " (0): LayerNorm((256,), eps=1e-05, elementwise_affine=True)\n",
+ " (1): Attention(\n",
+ " (qkv_fn): Sequential(\n",
+ " (0): Linear(in_features=256, out_features=49152, 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=16384, out_features=256, bias=True)\n",
+ " )\n",
+ " (2): Residual()\n",
+ " )\n",
+ " (7): ModuleList(\n",
+ " (0): LayerNorm((256,), eps=1e-05, elementwise_affine=True)\n",
+ " (1): Attention(\n",
+ " (qkv_fn): Sequential(\n",
+ " (0): Linear(in_features=256, out_features=49152, 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=16384, out_features=256, bias=True)\n",
+ " )\n",
+ " (2): Residual()\n",
+ " )\n",
+ " (8): ModuleList(\n",
+ " (0): LayerNorm((256,), eps=1e-05, elementwise_affine=True)\n",
+ " (1): FeedForward(\n",
+ " (mlp): Sequential(\n",
+ " (0): GEGLU(\n",
+ " (fc): Linear(in_features=256, out_features=2048, bias=True)\n",
+ " )\n",
+ " (1): Dropout(p=0.0, inplace=False)\n",
+ " (2): Linear(in_features=1024, out_features=256, bias=True)\n",
+ " )\n",
+ " )\n",
+ " (2): Residual()\n",
+ " )\n",
+ " (9): ModuleList(\n",
+ " (0): LayerNorm((256,), eps=1e-05, elementwise_affine=True)\n",
+ " (1): Attention(\n",
+ " (qkv_fn): Sequential(\n",
+ " (0): Linear(in_features=256, out_features=49152, 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=16384, out_features=256, bias=True)\n",
+ " )\n",
+ " (2): Residual()\n",
+ " )\n",
+ " (10): ModuleList(\n",
+ " (0): LayerNorm((256,), eps=1e-05, elementwise_affine=True)\n",
+ " (1): Attention(\n",
+ " (qkv_fn): Sequential(\n",
+ " (0): Linear(in_features=256, out_features=49152, 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=16384, out_features=256, bias=True)\n",
+ " )\n",
+ " (2): Residual()\n",
+ " )\n",
+ " (11): ModuleList(\n",
+ " (0): LayerNorm((256,), eps=1e-05, elementwise_affine=True)\n",
+ " (1): FeedForward(\n",
+ " (mlp): Sequential(\n",
+ " (0): GEGLU(\n",
+ " (fc): Linear(in_features=256, out_features=2048, bias=True)\n",
+ " )\n",
+ " (1): Dropout(p=0.0, inplace=False)\n",
+ " (2): Linear(in_features=1024, out_features=256, bias=True)\n",
+ " )\n",
+ " )\n",
+ " (2): Residual()\n",
+ " )\n",
+ " )\n",
+ ")"
+ ]
+ },
+ "execution_count": 14,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "decoder.cuda()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
"metadata": {},
"outputs": [],
"source": [
@@ -34,7 +252,7 @@
},
{
"cell_type": "code",
- "execution_count": 3,
+ "execution_count": null,
"metadata": {},
"outputs": [],
"source": [
@@ -43,21 +261,21 @@
},
{
"cell_type": "code",
- "execution_count": 4,
+ "execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"efficient_transformer = Nystromer(\n",
" dim = 128,\n",
- " depth = 8,\n",
- " num_heads = 6,\n",
+ " depth = 4,\n",
+ " num_heads = 8,\n",
" num_landmarks = 128\n",
")"
]
},
{
"cell_type": "code",
- "execution_count": 5,
+ "execution_count": null,
"metadata": {},
"outputs": [],
"source": [
@@ -66,7 +284,7 @@
},
{
"cell_type": "code",
- "execution_count": 6,
+ "execution_count": null,
"metadata": {},
"outputs": [],
"source": [
@@ -80,7 +298,7 @@
},
{
"cell_type": "code",
- "execution_count": 7,
+ "execution_count": null,
"metadata": {},
"outputs": [],
"source": [
@@ -89,31 +307,9 @@
},
{
"cell_type": "code",
- "execution_count": 8,
+ "execution_count": null,
"metadata": {},
- "outputs": [
- {
- "ename": "RuntimeError",
- "evalue": "CUDA out of memory. Tried to allocate 12.00 MiB (GPU 0; 7.79 GiB total capacity; 6.44 GiB already allocated; 10.31 MiB free; 6.50 GiB reserved in total by PyTorch)",
- "output_type": "error",
- "traceback": [
- "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
- "\u001b[0;31mRuntimeError\u001b[0m Traceback (most recent call last)",
- "\u001b[0;32m<ipython-input-8-996bed2e6057>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mv\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mt\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshape\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/vit.py\u001b[0m in \u001b[0;36mforward\u001b[0;34m(self, img)\u001b[0m\n\u001b[1;32m 43\u001b[0m \u001b[0m_\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mn\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0m_\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mx\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshape\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 44\u001b[0m \u001b[0mx\u001b[0m \u001b[0;34m+=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpos_embedding\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m:\u001b[0m\u001b[0mn\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 45\u001b[0;31m \u001b[0mx\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtransformer\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[0m\u001b[1;32m 46\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mx\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",
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- "\u001b[0;32m~/projects/text-recognizer/text_recognizer/networks/transformer/nystromer/attention.py\u001b[0m in \u001b[0;36mforward\u001b[0;34m(self, x, mask, return_attn)\u001b[0m\n\u001b[1;32m 167\u001b[0m \u001b[0mq\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mq\u001b[0m \u001b[0;34m*\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mscale\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 168\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 169\u001b[0;31m \u001b[0mout\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mattn\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_nystrom_attention\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mq\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mk\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mv\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmask\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mn\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mm\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mreturn_attn\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 170\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 171\u001b[0m \u001b[0;31m# Add depth-wise convolutional residual of values\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/nystromer/attention.py\u001b[0m in \u001b[0;36m_nystrom_attention\u001b[0;34m(self, q, k, v, mask, n, m, return_attn)\u001b[0m\n\u001b[1;32m 146\u001b[0m \u001b[0;31m# Compute attention\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 147\u001b[0m \u001b[0mattn1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mattn2\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mattn3\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mmap\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;32mlambda\u001b[0m \u001b[0mt\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msoftmax\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdim\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0msim1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msim2\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msim3\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--> 148\u001b[0;31m \u001b[0mattn2_inv\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mmoore_penrose_inverse\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mattn2\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0minverse_iter\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 149\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 150\u001b[0m \u001b[0mout\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mattn1\u001b[0m \u001b[0;34m@\u001b[0m \u001b[0mattn2_inv\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m@\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mattn3\u001b[0m \u001b[0;34m@\u001b[0m \u001b[0mv\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/nystromer/attention.py\u001b[0m in \u001b[0;36mmoore_penrose_inverse\u001b[0;34m(x, iters)\u001b[0m\n\u001b[1;32m 30\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0m_\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mrange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0miters\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[1;32m 31\u001b[0m \u001b[0mxz\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mx\u001b[0m \u001b[0;34m@\u001b[0m \u001b[0mz\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 32\u001b[0;31m \u001b[0mz\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m0.25\u001b[0m \u001b[0;34m*\u001b[0m \u001b[0mz\u001b[0m \u001b[0;34m@\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0;36m13\u001b[0m \u001b[0;34m*\u001b[0m \u001b[0mI\u001b[0m \u001b[0;34m-\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mxz\u001b[0m \u001b[0;34m@\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0;36m15\u001b[0m \u001b[0;34m*\u001b[0m \u001b[0mI\u001b[0m \u001b[0;34m-\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mxz\u001b[0m \u001b[0;34m@\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0;36m7\u001b[0m \u001b[0;34m*\u001b[0m \u001b[0mI\u001b[0m \u001b[0;34m-\u001b[0m \u001b[0mxz\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[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 33\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mz\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 34\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
- "\u001b[0;31mRuntimeError\u001b[0m: CUDA out of memory. Tried to allocate 12.00 MiB (GPU 0; 7.79 GiB total capacity; 6.44 GiB already allocated; 10.31 MiB free; 6.50 GiB reserved in total by PyTorch)"
- ]
- }
- ],
+ "outputs": [],
"source": [
"v(t).shape"
]
@@ -337,9 +533,7 @@
{
"cell_type": "code",
"execution_count": null,
- "metadata": {
- "scrolled": false
- },
+ "metadata": {},
"outputs": [],
"source": [
"en(datum).shape"
diff --git a/poetry.lock b/poetry.lock
index 81ccaed..1e7b234 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -32,7 +32,7 @@ speedups = ["aiodns", "brotlipy", "cchardet"]
name = "alabaster"
version = "0.7.12"
description = "A configurable sidebar-enabled Sphinx theme"
-category = "main"
+category = "dev"
optional = false
python-versions = "*"
@@ -45,6 +45,23 @@ optional = false
python-versions = "*"
[[package]]
+name = "anyio"
+version = "3.0.1"
+description = "High level compatibility layer for multiple asynchronous event loop implementations"
+category = "dev"
+optional = false
+python-versions = ">=3.6.2"
+
+[package.dependencies]
+idna = ">=2.8"
+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)"]
+trio = ["trio (>=0.16)"]
+
+[[package]]
name = "appdirs"
version = "1.4.4"
description = "A small Python module for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
@@ -119,7 +136,7 @@ tests_no_zope = ["coverage[toml] (>=5.0.2)", "hypothesis", "pympler", "pytest (>
name = "babel"
version = "2.9.0"
description = "Internationalization utilities"
-category = "main"
+category = "dev"
optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
@@ -183,17 +200,6 @@ six = ">=1.9.0"
webencodings = "*"
[[package]]
-name = "blessings"
-version = "1.7"
-description = "A thin, practical wrapper around terminal coloring, styling, and positioning"
-category = "dev"
-optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
-
-[package.dependencies]
-six = "*"
-
-[[package]]
name = "boltons"
version = "20.2.1"
description = "When they're not builtins, they're boltons."
@@ -256,7 +262,7 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
name = "configparser"
version = "5.0.2"
description = "Updated configparser from Python 3.8 for Python 2.6+."
-category = "main"
+category = "dev"
optional = false
python-versions = ">=3.6"
@@ -291,15 +297,15 @@ six = "*"
[[package]]
name = "darglint"
-version = "1.7.0"
+version = "1.8.0"
description = "A utility for ensuring Google-style docstrings stay up to date with the source code."
-category = "main"
+category = "dev"
optional = false
python-versions = ">=3.6,<4.0"
[[package]]
name = "decorator"
-version = "5.0.4"
+version = "5.0.7"
description = "Decorators for Humans"
category = "dev"
optional = false
@@ -317,7 +323,7 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
name = "docker-pycreds"
version = "0.4.0"
description = "Python bindings for the docker credentials store API"
-category = "main"
+category = "dev"
optional = false
python-versions = "*"
@@ -328,7 +334,7 @@ six = ">=1.4.0"
name = "docutils"
version = "0.17"
description = "Docutils -- Python Documentation Utilities"
-category = "main"
+category = "dev"
optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
@@ -376,7 +382,7 @@ python-versions = ">=2.7"
name = "flake8"
version = "3.9.0"
description = "the modular source code checker: pep8 pyflakes and co"
-category = "main"
+category = "dev"
optional = false
python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,>=2.7"
@@ -389,7 +395,7 @@ pyflakes = ">=2.3.0,<2.4.0"
name = "flake8-annotations"
version = "2.6.2"
description = "Flake8 Type Annotation Checks"
-category = "main"
+category = "dev"
optional = false
python-versions = ">=3.6.1,<4.0.0"
@@ -441,7 +447,7 @@ dev = ["coverage", "black", "hypothesis", "hypothesmith"]
name = "flake8-docstrings"
version = "1.6.0"
description = "Extension for flake8 which uses pydocstyle to check docstrings"
-category = "main"
+category = "dev"
optional = false
python-versions = "*"
@@ -512,7 +518,7 @@ python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*"
name = "gitdb"
version = "4.0.7"
description = "Git Object Database"
-category = "main"
+category = "dev"
optional = false
python-versions = ">=3.4"
@@ -523,7 +529,7 @@ smmap = ">=3.0.1,<5"
name = "gitpython"
version = "3.1.14"
description = "Python Git Library"
-category = "main"
+category = "dev"
optional = false
python-versions = ">=3.4"
@@ -564,36 +570,6 @@ requests-oauthlib = ">=0.7.0"
tool = ["click (>=6.0.0)"]
[[package]]
-name = "gpustat"
-version = "0.6.0"
-description = "An utility to monitor NVIDIA GPU status and usage"
-category = "dev"
-optional = false
-python-versions = "*"
-
-[package.dependencies]
-blessings = ">=1.6"
-nvidia-ml-py3 = ">=7.352.0"
-psutil = "*"
-six = ">=1.7"
-
-[package.extras]
-test = ["mock (>=2.0.0)", "pytest (<5.0)"]
-
-[[package]]
-name = "graphviz"
-version = "0.16"
-description = "Simple Python interface for Graphviz"
-category = "dev"
-optional = false
-python-versions = ">=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*"
-
-[package.extras]
-dev = ["tox (>=3)", "flake8", "pep8-naming", "wheel", "twine"]
-docs = ["sphinx (>=1.8)", "sphinx-rtd-theme"]
-test = ["mock (>=3)", "pytest (>=4)", "pytest-mock (>=2)", "pytest-cov"]
-
-[[package]]
name = "grpcio"
version = "1.36.1"
description = "HTTP/2-based RPC framework"
@@ -624,10 +600,7 @@ optional = false
python-versions = ">=3.7"
[package.dependencies]
-numpy = [
- {version = ">=1.17.5", markers = "python_version == \"3.8\""},
- {version = ">=1.19.3", markers = "python_version >= \"3.9\""},
-]
+numpy = {version = ">=1.19.3", markers = "python_version >= \"3.9\""}
[[package]]
name = "hydra-core"
@@ -639,7 +612,6 @@ python-versions = "*"
[package.dependencies]
antlr4-python3-runtime = "4.8"
-importlib-resources = {version = "*", markers = "python_version < \"3.9\""}
omegaconf = ">=2.0.5,<2.1"
[[package]]
@@ -654,25 +626,13 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
name = "imagesize"
version = "1.2.0"
description = "Getting image size from png/jpeg/jpeg2000/gif file"
-category = "main"
+category = "dev"
optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
[[package]]
-name = "importlib-resources"
-version = "5.1.2"
-description = "Read resources from Python packages"
-category = "main"
-optional = false
-python-versions = ">=3.6"
-
-[package.extras]
-docs = ["sphinx", "jaraco.packaging (>=8.2)", "rst.linker (>=1.9)"]
-testing = ["pytest (>=4.6)", "pytest-checkdocs (>=1.2.3)", "pytest-flake8", "pytest-cov", "pytest-enabler", "pytest-black (>=0.3.7)", "pytest-mypy"]
-
-[[package]]
name = "ipykernel"
-version = "5.5.3"
+version = "5.5.5"
description = "IPython Kernel for Jupyter"
category = "dev"
optional = false
@@ -690,7 +650,7 @@ test = ["pytest (!=5.3.4)", "pytest-cov", "flaky", "nose", "jedi (<=0.17.2)"]
[[package]]
name = "ipython"
-version = "7.22.0"
+version = "7.23.1"
description = "IPython: Productive Interactive Computing"
category = "dev"
optional = false
@@ -702,6 +662,7 @@ backcall = "*"
colorama = {version = "*", markers = "sys_platform == \"win32\""}
decorator = "*"
jedi = ">=0.16"
+matplotlib-inline = "*"
pexpect = {version = ">4.3", markers = "sys_platform != \"win32\""}
pickleshare = "*"
prompt-toolkit = ">=2.0.0,<3.0.0 || >3.0.0,<3.0.1 || >3.0.1,<3.1.0"
@@ -728,25 +689,6 @@ optional = false
python-versions = "*"
[[package]]
-name = "ipywidgets"
-version = "7.6.3"
-description = "IPython HTML widgets for Jupyter"
-category = "dev"
-optional = false
-python-versions = "*"
-
-[package.dependencies]
-ipykernel = ">=4.5.1"
-ipython = {version = ">=4.0.0", markers = "python_version >= \"3.3\""}
-jupyterlab-widgets = {version = ">=1.0.0", markers = "python_version >= \"3.6\""}
-nbformat = ">=4.2.0"
-traitlets = ">=4.3.1"
-widgetsnbextension = ">=3.5.0,<3.6.0"
-
-[package.extras]
-test = ["pytest (>=3.6.0)", "pytest-cov", "mock"]
-
-[[package]]
name = "jedi"
version = "0.18.0"
description = "An autocompletion tool for Python that can be used for text editors."
@@ -765,7 +707,7 @@ testing = ["Django (<3.1)", "colorama", "docopt", "pytest (<6.0.0)"]
name = "jinja2"
version = "2.11.3"
description = "A very fast and expressive template engine."
-category = "main"
+category = "dev"
optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
@@ -784,6 +726,17 @@ optional = false
python-versions = ">=3.6"
[[package]]
+name = "json5"
+version = "0.9.5"
+description = "A Python implementation of the JSON5 data format."
+category = "dev"
+optional = false
+python-versions = "*"
+
+[package.extras]
+dev = ["hypothesis"]
+
+[[package]]
name = "jsonschema"
version = "3.2.0"
description = "An implementation of JSON Schema validation for Python"
@@ -801,31 +754,16 @@ format = ["idna", "jsonpointer (>1.13)", "rfc3987", "strict-rfc3339", "webcolors
format_nongpl = ["idna", "jsonpointer (>1.13)", "webcolors", "rfc3986-validator (>0.1.0)", "rfc3339-validator"]
[[package]]
-name = "jupyter"
-version = "1.0.0"
-description = "Jupyter metapackage. Install all the Jupyter components in one go."
-category = "dev"
-optional = false
-python-versions = "*"
-
-[package.dependencies]
-ipykernel = "*"
-ipywidgets = "*"
-jupyter-console = "*"
-nbconvert = "*"
-notebook = "*"
-qtconsole = "*"
-
-[[package]]
name = "jupyter-client"
-version = "6.1.12"
+version = "6.2.0"
description = "Jupyter protocol implementation and client libraries"
category = "dev"
optional = false
-python-versions = ">=3.5"
+python-versions = ">=3.6.1"
[package.dependencies]
jupyter-core = ">=4.6.0"
+nest-asyncio = ">=1.5"
python-dateutil = ">=2.1"
pyzmq = ">=13"
tornado = ">=4.1"
@@ -833,37 +771,68 @@ traitlets = "*"
[package.extras]
doc = ["sphinx (>=1.3.6)", "sphinx-rtd-theme", "sphinxcontrib-github-alt"]
-test = ["async-generator", "ipykernel", "ipython", "mock", "pytest-asyncio", "pytest-timeout", "pytest", "jedi (<0.18)"]
+test = ["async-generator", "ipykernel", "ipython", "mock", "pytest-asyncio", "pytest-timeout", "pytest", "mypy", "pre-commit", "jedi (<0.18)"]
[[package]]
-name = "jupyter-console"
-version = "6.4.0"
-description = "Jupyter terminal console"
+name = "jupyter-core"
+version = "4.7.1"
+description = "Jupyter core package. A base package on which Jupyter projects rely."
category = "dev"
optional = false
python-versions = ">=3.6"
[package.dependencies]
-ipykernel = "*"
-ipython = "*"
-jupyter-client = "*"
-prompt-toolkit = ">=2.0.0,<3.0.0 || >3.0.0,<3.0.1 || >3.0.1,<3.1.0"
-pygments = "*"
+pywin32 = {version = ">=1.0", markers = "sys_platform == \"win32\""}
+traitlets = "*"
+
+[[package]]
+name = "jupyter-server"
+version = "1.7.0"
+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\""}
+argon2-cffi = "*"
+ipython-genutils = "*"
+jinja2 = "*"
+jupyter-client = ">=6.1.1"
+jupyter-core = ">=4.6.0"
+nbconvert = "*"
+nbformat = "*"
+prometheus-client = "*"
+pyzmq = ">=17"
+Send2Trash = "*"
+terminado = ">=0.8.3"
+tornado = ">=6.1.0"
+traitlets = ">=4.2.1"
+websocket-client = "*"
[package.extras]
-test = ["pexpect"]
+test = ["coverage", "pytest", "pytest-cov", "pytest-mock", "requests", "pytest-tornasync", "pytest-console-scripts", "ipykernel"]
[[package]]
-name = "jupyter-core"
-version = "4.7.1"
-description = "Jupyter core package. A base package on which Jupyter projects rely."
+name = "jupyterlab"
+version = "3.0.15"
+description = "JupyterLab computational environment"
category = "dev"
optional = false
python-versions = ">=3.6"
[package.dependencies]
-pywin32 = {version = ">=1.0", markers = "sys_platform == \"win32\""}
-traitlets = "*"
+ipython = "*"
+jinja2 = ">=2.1"
+jupyter-core = "*"
+jupyter-server = ">=1.4,<2.0"
+jupyterlab-server = ">=2.3,<3.0"
+nbclassic = ">=0.2,<1.0"
+packaging = "*"
+tornado = ">=6.1.0"
+
+[package.extras]
+test = ["coverage", "pytest (>=6.0)", "pytest-cov", "pytest-console-scripts", "pytest-check-links (>=0.5)", "jupyterlab-server[test] (>=2.2,<3.0)", "requests", "requests-cache", "virtualenv", "check-manifest"]
[[package]]
name = "jupyterlab-pygments"
@@ -877,13 +846,25 @@ python-versions = "*"
pygments = ">=2.4.1,<3"
[[package]]
-name = "jupyterlab-widgets"
-version = "1.0.0"
-description = "A JupyterLab extension."
+name = "jupyterlab-server"
+version = "2.5.1"
+description = "A set of server components for JupyterLab and JupyterLab like applications ."
category = "dev"
optional = false
python-versions = ">=3.6"
+[package.dependencies]
+babel = "*"
+jinja2 = ">=2.10"
+json5 = "*"
+jsonschema = ">=3.0.1"
+jupyter-server = ">=1.4,<2.0"
+packaging = "*"
+requests = "*"
+
+[package.extras]
+test = ["codecov", "ipykernel", "pytest (>=5.3.2)", "pytest-cov", "jupyter-server", "openapi-core (>=0.13.8,<0.14.0)", "pytest-console-scripts", "strict-rfc3339", "ruamel.yaml", "wheel"]
+
[[package]]
name = "kiwisolver"
version = "1.3.1"
@@ -930,25 +911,11 @@ testing = ["coverage", "pyyaml"]
name = "markupsafe"
version = "1.1.1"
description = "Safely add untrusted strings to HTML/XML markup."
-category = "main"
+category = "dev"
optional = false
python-versions = ">=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*"
[[package]]
-name = "marshmallow"
-version = "3.11.1"
-description = "A lightweight library for converting complex datatypes to and from native Python datatypes."
-category = "main"
-optional = false
-python-versions = ">=3.5"
-
-[package.extras]
-dev = ["pytest", "pytz", "simplejson", "mypy (==0.812)", "flake8 (==3.9.0)", "flake8-bugbear (==21.3.2)", "pre-commit (>=2.4,<3.0)", "tox"]
-docs = ["sphinx (==3.4.3)", "sphinx-issues (==1.2.0)", "alabaster (==0.7.12)", "sphinx-version-warning (==1.1.2)", "autodocsumm (==0.2.2)"]
-lint = ["mypy (==0.812)", "flake8 (==3.9.0)", "flake8-bugbear (==21.3.2)", "pre-commit (>=2.4,<3.0)"]
-tests = ["pytest", "pytz", "simplejson"]
-
-[[package]]
name = "matplotlib"
version = "3.4.1"
description = "Python plotting package"
@@ -965,10 +932,21 @@ pyparsing = ">=2.2.1"
python-dateutil = ">=2.7"
[[package]]
+name = "matplotlib-inline"
+version = "0.1.2"
+description = "Inline Matplotlib backend for Jupyter"
+category = "dev"
+optional = false
+python-versions = ">=3.5"
+
+[package.dependencies]
+traitlets = "*"
+
+[[package]]
name = "mccabe"
version = "0.6.1"
description = "McCabe checker, plugin for flake8"
-category = "main"
+category = "dev"
optional = false
python-versions = "*"
@@ -1021,6 +999,21 @@ optional = false
python-versions = "*"
[[package]]
+name = "nbclassic"
+version = "0.2.8"
+description = "Jupyter Notebook as a Jupyter Server Extension."
+category = "dev"
+optional = false
+python-versions = ">=3.6"
+
+[package.dependencies]
+jupyter-server = ">=1.5,<2.0"
+notebook = "<7"
+
+[package.extras]
+test = ["pytest", "pytest-tornasync", "pytest-console-scripts"]
+
+[[package]]
name = "nbclient"
version = "0.5.3"
description = "A client library for executing notebooks. Formerly nbconvert's ExecutePreprocessor."
@@ -1156,14 +1149,6 @@ optional = false
python-versions = ">=3.7"
[[package]]
-name = "nvidia-ml-py3"
-version = "7.352.0"
-description = "Python Bindings for the NVIDIA Management Library"
-category = "dev"
-optional = false
-python-versions = "*"
-
-[[package]]
name = "oauthlib"
version = "3.1.0"
description = "A generic, spec-compliant, thorough implementation of the OAuth request-signing logic"
@@ -1242,7 +1227,7 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
name = "pathtools"
version = "0.1.2"
description = "File system general utilities"
-category = "main"
+category = "dev"
optional = false
python-versions = "*"
@@ -1294,7 +1279,7 @@ dev = ["pre-commit", "tox"]
[[package]]
name = "prometheus-client"
-version = "0.10.0"
+version = "0.10.1"
description = "Python client for the Prometheus monitoring system."
category = "dev"
optional = false
@@ -1307,7 +1292,7 @@ twisted = ["twisted"]
name = "promise"
version = "2.3"
description = "Promises/A+ implementation for Python"
-category = "main"
+category = "dev"
optional = false
python-versions = "*"
@@ -1343,7 +1328,7 @@ six = ">=1.9"
name = "psutil"
version = "5.8.0"
description = "Cross-platform lib for process and system monitoring in Python."
-category = "main"
+category = "dev"
optional = false
python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
@@ -1389,7 +1374,7 @@ pyasn1 = ">=0.4.6,<0.5.0"
name = "pycodestyle"
version = "2.7.0"
description = "Python style guide checker"
-category = "main"
+category = "dev"
optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
@@ -1402,10 +1387,18 @@ optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
[[package]]
+name = "pydeprecate"
+version = "0.3.0"
+description = "Deprecation tooling"
+category = "main"
+optional = false
+python-versions = ">=3.6"
+
+[[package]]
name = "pydocstyle"
version = "6.0.0"
description = "Python docstring style checker"
-category = "main"
+category = "dev"
optional = false
python-versions = ">=3.6"
@@ -1416,7 +1409,7 @@ snowballstemmer = "*"
name = "pyflakes"
version = "2.3.1"
description = "passive checker of Python programs"
-category = "main"
+category = "dev"
optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
@@ -1424,7 +1417,7 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
name = "pygments"
version = "2.8.1"
description = "Pygments is a syntax highlighting package written in Python."
-category = "main"
+category = "dev"
optional = false
python-versions = ">=3.5"
@@ -1508,37 +1501,39 @@ six = ">=1.5"
[[package]]
name = "pytorch-lightning"
-version = "1.2.6"
+version = "1.3.1"
description = "PyTorch Lightning is the lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate."
category = "main"
optional = false
python-versions = ">=3.6"
[package.dependencies]
-fsspec = {version = ">=0.8.1", extras = ["http"]}
+fsspec = {version = ">=2021.4.0", extras = ["http"]}
future = ">=0.17.1"
-numpy = ">=1.16.6"
-PyYAML = ">=5.1,<5.4.0 || >=5.5.0"
-tensorboard = ">=2.2.0"
+numpy = ">=1.17.2"
+packaging = "*"
+pyDeprecate = "0.3.0"
+PyYAML = ">=5.1,<=5.4.1"
+tensorboard = ">=2.2.0,<2.5.0 || >2.5.0"
torch = ">=1.4"
torchmetrics = ">=0.2.0"
tqdm = ">=4.41.0"
[package.extras]
-all = ["matplotlib (>3.1)", "horovod (>=0.21.2)", "omegaconf (>=2.0.1)", "torchtext (>=0.5)", "onnxruntime (>=1.3.0)", "hydra-core (>=1.0)", "neptune-client (>=0.4.109)", "comet-ml (>=3.1.12)", "mlflow (>=1.0.0)", "test-tube (>=0.7.5)", "wandb (>=0.8.21)", "coverage (>=5.2)", "codecov (>=2.1)", "pytest (>=6.0)", "flake8 (>=3.6)", "check-manifest", "twine (==3.2)", "scikit-learn (>=0.22.2)", "scikit-image (>=0.17.2)", "isort (>=5.6.4)", "mypy (>=0.720,<0.800)", "pre-commit (>=1.0)", "cloudpickle (>=1.3)", "nltk (>=3.3)", "pandas", "torchvision (>=0.5)", "gym (>=0.17.0)"]
-cpu = ["matplotlib (>3.1)", "omegaconf (>=2.0.1)", "torchtext (>=0.5)", "onnxruntime (>=1.3.0)", "hydra-core (>=1.0)", "neptune-client (>=0.4.109)", "comet-ml (>=3.1.12)", "mlflow (>=1.0.0)", "test-tube (>=0.7.5)", "wandb (>=0.8.21)", "coverage (>=5.2)", "codecov (>=2.1)", "pytest (>=6.0)", "flake8 (>=3.6)", "check-manifest", "twine (==3.2)", "scikit-learn (>=0.22.2)", "scikit-image (>=0.17.2)", "isort (>=5.6.4)", "mypy (>=0.720,<0.800)", "pre-commit (>=1.0)", "cloudpickle (>=1.3)", "nltk (>=3.3)", "pandas", "torchvision (>=0.5)", "gym (>=0.17.0)"]
-cpu-extra = ["matplotlib (>3.1)", "omegaconf (>=2.0.1)", "torchtext (>=0.5)", "onnxruntime (>=1.3.0)", "hydra-core (>=1.0)"]
-dev = ["matplotlib (>3.1)", "horovod (>=0.21.2)", "omegaconf (>=2.0.1)", "torchtext (>=0.5)", "onnxruntime (>=1.3.0)", "hydra-core (>=1.0)", "neptune-client (>=0.4.109)", "comet-ml (>=3.1.12)", "mlflow (>=1.0.0)", "test-tube (>=0.7.5)", "wandb (>=0.8.21)", "coverage (>=5.2)", "codecov (>=2.1)", "pytest (>=6.0)", "flake8 (>=3.6)", "check-manifest", "twine (==3.2)", "scikit-learn (>=0.22.2)", "scikit-image (>=0.17.2)", "isort (>=5.6.4)", "mypy (>=0.720,<0.800)", "pre-commit (>=1.0)", "cloudpickle (>=1.3)", "nltk (>=3.3)", "pandas"]
-examples = ["torchvision (>=0.5)", "gym (>=0.17.0)"]
-extra = ["matplotlib (>3.1)", "horovod (>=0.21.2)", "omegaconf (>=2.0.1)", "torchtext (>=0.5)", "onnxruntime (>=1.3.0)", "hydra-core (>=1.0)"]
+all = ["matplotlib (>3.1)", "horovod (>=0.21.2)", "omegaconf (>=2.0.1)", "torchtext (>=0.5)", "onnxruntime (>=1.3.0)", "hydra-core (>=1.0)", "jsonargparse[signatures] (>=3.11.1)", "neptune-client (>=0.4.109)", "comet-ml (>=3.1.12)", "mlflow (>=1.0.0)", "test-tube (>=0.7.5)", "wandb (>=0.8.21)", "coverage (>5.2.0)", "codecov (>=2.1)", "pytest (>=6.0)", "flake8 (>=3.6)", "check-manifest", "twine (==3.2)", "isort (>=5.6.4)", "mypy (>=0.720,<0.800)", "pre-commit (>=1.0)", "cloudpickle (>=1.3)", "scikit-learn (>0.22.1)", "scikit-image (>0.17.1)", "nltk (>=3.3)", "pandas", "torchvision (>=0.5)", "gym (>=0.17.0)", "ipython"]
+cpu = ["matplotlib (>3.1)", "omegaconf (>=2.0.1)", "torchtext (>=0.5)", "onnxruntime (>=1.3.0)", "hydra-core (>=1.0)", "jsonargparse[signatures] (>=3.11.1)", "neptune-client (>=0.4.109)", "comet-ml (>=3.1.12)", "mlflow (>=1.0.0)", "test-tube (>=0.7.5)", "wandb (>=0.8.21)", "coverage (>5.2.0)", "codecov (>=2.1)", "pytest (>=6.0)", "flake8 (>=3.6)", "check-manifest", "twine (==3.2)", "isort (>=5.6.4)", "mypy (>=0.720,<0.800)", "pre-commit (>=1.0)", "cloudpickle (>=1.3)", "scikit-learn (>0.22.1)", "scikit-image (>0.17.1)", "nltk (>=3.3)", "pandas", "torchvision (>=0.5)", "gym (>=0.17.0)", "ipython"]
+cpu-extra = ["matplotlib (>3.1)", "omegaconf (>=2.0.1)", "torchtext (>=0.5)", "onnxruntime (>=1.3.0)", "hydra-core (>=1.0)", "jsonargparse[signatures] (>=3.11.1)"]
+dev = ["matplotlib (>3.1)", "horovod (>=0.21.2)", "omegaconf (>=2.0.1)", "torchtext (>=0.5)", "onnxruntime (>=1.3.0)", "hydra-core (>=1.0)", "jsonargparse[signatures] (>=3.11.1)", "neptune-client (>=0.4.109)", "comet-ml (>=3.1.12)", "mlflow (>=1.0.0)", "test-tube (>=0.7.5)", "wandb (>=0.8.21)", "coverage (>5.2.0)", "codecov (>=2.1)", "pytest (>=6.0)", "flake8 (>=3.6)", "check-manifest", "twine (==3.2)", "isort (>=5.6.4)", "mypy (>=0.720,<0.800)", "pre-commit (>=1.0)", "cloudpickle (>=1.3)", "scikit-learn (>0.22.1)", "scikit-image (>0.17.1)", "nltk (>=3.3)", "pandas"]
+examples = ["torchvision (>=0.5)", "gym (>=0.17.0)", "ipython"]
+extra = ["matplotlib (>3.1)", "horovod (>=0.21.2)", "omegaconf (>=2.0.1)", "torchtext (>=0.5)", "onnxruntime (>=1.3.0)", "hydra-core (>=1.0)", "jsonargparse[signatures] (>=3.11.1)"]
loggers = ["neptune-client (>=0.4.109)", "comet-ml (>=3.1.12)", "mlflow (>=1.0.0)", "test-tube (>=0.7.5)", "wandb (>=0.8.21)"]
-test = ["coverage (>=5.2)", "codecov (>=2.1)", "pytest (>=6.0)", "flake8 (>=3.6)", "check-manifest", "twine (==3.2)", "scikit-learn (>=0.22.2)", "scikit-image (>=0.17.2)", "isort (>=5.6.4)", "mypy (>=0.720,<0.800)", "pre-commit (>=1.0)", "cloudpickle (>=1.3)", "nltk (>=3.3)", "pandas"]
+test = ["coverage (>5.2.0)", "codecov (>=2.1)", "pytest (>=6.0)", "flake8 (>=3.6)", "check-manifest", "twine (==3.2)", "isort (>=5.6.4)", "mypy (>=0.720,<0.800)", "pre-commit (>=1.0)", "cloudpickle (>=1.3)", "scikit-learn (>0.22.1)", "scikit-image (>0.17.1)", "nltk (>=3.3)", "pandas"]
[[package]]
name = "pytz"
version = "2021.1"
description = "World timezone definitions, modern and historical"
-category = "main"
+category = "dev"
optional = false
python-versions = "*"
@@ -1579,58 +1574,6 @@ cffi = {version = "*", markers = "implementation_name == \"pypy\""}
py = {version = "*", markers = "implementation_name == \"pypy\""}
[[package]]
-name = "qtconsole"
-version = "5.0.3"
-description = "Jupyter Qt console"
-category = "dev"
-optional = false
-python-versions = ">= 3.6"
-
-[package.dependencies]
-ipykernel = ">=4.1"
-ipython-genutils = "*"
-jupyter-client = ">=4.1"
-jupyter-core = "*"
-pygments = "*"
-pyzmq = ">=17.1"
-qtpy = "*"
-traitlets = "*"
-
-[package.extras]
-doc = ["Sphinx (>=1.3)"]
-test = ["flaky", "pytest", "pytest-qt"]
-
-[[package]]
-name = "qtpy"
-version = "1.9.0"
-description = "Provides an abstraction layer on top of the various Qt bindings (PyQt5, PyQt4 and PySide) and additional custom QWidgets."
-category = "dev"
-optional = false
-python-versions = "*"
-
-[[package]]
-name = "redis"
-version = "3.5.3"
-description = "Python client for Redis key-value store"
-category = "dev"
-optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
-
-[package.extras]
-hiredis = ["hiredis (>=0.1.3)"]
-
-[[package]]
-name = "redlock-py"
-version = "1.0.8"
-description = "Redis locking mechanism"
-category = "dev"
-optional = false
-python-versions = "*"
-
-[package.dependencies]
-redis = "*"
-
-[[package]]
name = "regex"
version = "2021.3.17"
description = "Alternative regular expression module, to replace re."
@@ -1727,7 +1670,7 @@ python-versions = "*"
name = "sentry-sdk"
version = "1.0.0"
description = "Python client for Sentry (https://sentry.io)"
-category = "main"
+category = "dev"
optional = false
python-versions = "*"
@@ -1755,7 +1698,7 @@ tornado = ["tornado (>=5)"]
name = "shortuuid"
version = "1.0.1"
description = "A generator library for concise, unambiguous and URL-safe UUIDs."
-category = "main"
+category = "dev"
optional = false
python-versions = ">=3.5"
@@ -1771,7 +1714,15 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
name = "smmap"
version = "4.0.0"
description = "A pure Python implementation of a sliding window memory map manager"
-category = "main"
+category = "dev"
+optional = false
+python-versions = ">=3.5"
+
+[[package]]
+name = "sniffio"
+version = "1.2.0"
+description = "Sniff out which async library your code is running under"
+category = "dev"
optional = false
python-versions = ">=3.5"
@@ -1779,7 +1730,7 @@ python-versions = ">=3.5"
name = "snowballstemmer"
version = "2.1.0"
description = "This package provides 29 stemmers for 28 languages generated from Snowball algorithms."
-category = "main"
+category = "dev"
optional = false
python-versions = "*"
@@ -1787,7 +1738,7 @@ python-versions = "*"
name = "sphinx"
version = "3.5.3"
description = "Python documentation generator"
-category = "main"
+category = "dev"
optional = false
python-versions = ">=3.5"
@@ -1815,36 +1766,10 @@ lint = ["flake8 (>=3.5.0)", "isort", "mypy (>=0.800)", "docutils-stubs"]
test = ["pytest", "pytest-cov", "html5lib", "cython", "typed-ast"]
[[package]]
-name = "sphinx-autodoc-typehints"
-version = "1.11.1"
-description = "Type hints (PEP 484) support for the Sphinx autodoc extension"
-category = "main"
-optional = false
-python-versions = ">=3.5.2"
-
-[package.dependencies]
-Sphinx = ">=3.0"
-
-[package.extras]
-test = ["pytest (>=3.1.0)", "typing-extensions (>=3.5)", "sphobjinv (>=2.0)", "Sphinx (>=3.2.0)", "dataclasses"]
-type_comments = ["typed-ast (>=1.4.0)"]
-
-[[package]]
-name = "sphinx-rtd-theme"
-version = "0.4.3"
-description = "Read the Docs theme for Sphinx"
-category = "main"
-optional = false
-python-versions = "*"
-
-[package.dependencies]
-sphinx = "*"
-
-[[package]]
name = "sphinxcontrib-applehelp"
version = "1.0.2"
description = "sphinxcontrib-applehelp is a sphinx extension which outputs Apple help books"
-category = "main"
+category = "dev"
optional = false
python-versions = ">=3.5"
@@ -1856,7 +1781,7 @@ test = ["pytest"]
name = "sphinxcontrib-devhelp"
version = "1.0.2"
description = "sphinxcontrib-devhelp is a sphinx extension which outputs Devhelp document."
-category = "main"
+category = "dev"
optional = false
python-versions = ">=3.5"
@@ -1868,7 +1793,7 @@ test = ["pytest"]
name = "sphinxcontrib-htmlhelp"
version = "1.0.3"
description = "sphinxcontrib-htmlhelp is a sphinx extension which renders HTML help files"
-category = "main"
+category = "dev"
optional = false
python-versions = ">=3.5"
@@ -1880,7 +1805,7 @@ test = ["pytest", "html5lib"]
name = "sphinxcontrib-jsmath"
version = "1.0.1"
description = "A sphinx extension which renders display math in HTML via JavaScript"
-category = "main"
+category = "dev"
optional = false
python-versions = ">=3.5"
@@ -1891,7 +1816,7 @@ test = ["pytest", "flake8", "mypy"]
name = "sphinxcontrib-qthelp"
version = "1.0.3"
description = "sphinxcontrib-qthelp is a sphinx extension which outputs QtHelp document."
-category = "main"
+category = "dev"
optional = false
python-versions = ">=3.5"
@@ -1903,7 +1828,7 @@ test = ["pytest"]
name = "sphinxcontrib-serializinghtml"
version = "1.1.4"
description = "sphinxcontrib-serializinghtml is a sphinx extension which outputs \"serialized\" HTML files (json and pickle)."
-category = "main"
+category = "dev"
optional = false
python-versions = ">=3.5"
@@ -1926,7 +1851,7 @@ pbr = ">=2.0.0,<2.1.0 || >2.1.0"
name = "subprocess32"
version = "3.5.4"
description = "A backport of the subprocess module from Python 3 for use on 2.x."
-category = "main"
+category = "dev"
optional = false
python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*, <4"
@@ -1961,7 +1886,7 @@ python-versions = "*"
[[package]]
name = "terminado"
-version = "0.9.4"
+version = "0.9.5"
description = "Tornado websocket backend for the Xterm.js Javascript terminal emulator library."
category = "dev"
optional = false
@@ -1969,7 +1894,7 @@ python-versions = ">=3.6"
[package.dependencies]
ptyprocess = {version = "*", markers = "os_name != \"nt\""}
-pywinpty = {version = ">=0.5", markers = "os_name == \"nt\""}
+pywinpty = {version = ">=0.5,<1", markers = "os_name == \"nt\""}
tornado = ">=4"
[package.extras]
@@ -2119,9 +2044,9 @@ brotli = ["brotlipy (>=0.6.0)"]
[[package]]
name = "wandb"
-version = "0.10.28"
+version = "0.10.30"
description = "A CLI and library for interacting with the Weights and Biases API."
-category = "main"
+category = "dev"
optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
@@ -2166,6 +2091,17 @@ optional = false
python-versions = "*"
[[package]]
+name = "websocket-client"
+version = "0.59.0"
+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 = "*"
+
+[[package]]
name = "werkzeug"
version = "1.0.1"
description = "The comprehensive WSGI web application library."
@@ -2178,17 +2114,6 @@ dev = ["pytest", "pytest-timeout", "coverage", "tox", "sphinx", "pallets-sphinx-
watchdog = ["watchdog"]
[[package]]
-name = "widgetsnbextension"
-version = "3.5.1"
-description = "IPython HTML widgets for Jupyter"
-category = "dev"
-optional = false
-python-versions = "*"
-
-[package.dependencies]
-notebook = ">=4.4.1"
-
-[[package]]
name = "win32-setctime"
version = "1.0.3"
description = "A small Python utility to set file creation time on Windows"
@@ -2229,8 +2154,8 @@ multidict = ">=4.0"
[metadata]
lock-version = "1.1"
-python-versions = "^3.8"
-content-hash = "bcc456879df9e9ec937f1aa8c339fe96ca18ce95b12b12fc10c23494829296e8"
+python-versions = "^3.9"
+content-hash = "6fecb8ebf400e45834031bfb2e736504d667c5410b94f44bd105432220c015a0"
[metadata.files]
absl-py = [
@@ -2283,6 +2208,10 @@ alabaster = [
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{file = "antlr4-python3-runtime-4.8.tar.gz", hash = "sha256:15793f5d0512a372b4e7d2284058ad32ce7dd27126b105fb0b2245130445db33"},
]
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+ {file = "anyio-3.0.1.tar.gz", hash = "sha256:1ef7622396ab55829d4236a6f75e2199df6d26a4ba79bea0cb942a5fd2f79a23"},
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@@ -2347,11 +2276,6 @@ bleach = [
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]
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- {file = "blessings-1.7.tar.gz", hash = "sha256:98e5854d805f50a5b58ac2333411b0482516a8210f23f43308baeb58d77c157d"},
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@@ -2478,12 +2402,12 @@ cycler = [
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darglint = [
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+ {file = "darglint-1.8.0-py3-none-any.whl", hash = "sha256:ac6797bcc918cd8d8f14c168a4a364f54e1aeb4ced59db58e7e4c6dfec2fe15c"},
+ {file = "darglint-1.8.0.tar.gz", hash = "sha256:aa605ef47817a6d14797d32b390466edab621768ea4ca5cc0f3c54f6d8dcaec8"},
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decorator = [
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+ {file = "decorator-5.0.7-py3-none-any.whl", hash = "sha256:945d84890bb20cc4a2f4a31fc4311c0c473af65ea318617f13a7257c9a58bc98"},
+ {file = "decorator-5.0.7.tar.gz", hash = "sha256:6f201a6c4dac3d187352661f508b9364ec8091217442c9478f1f83c003a0f060"},
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@@ -2594,13 +2518,6 @@ google-auth-oauthlib = [
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]
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@@ -2676,26 +2593,18 @@ imagesize = [
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ipykernel = [
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ipython = [
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@@ -2708,34 +2617,37 @@ joblib = [
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]
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jupyterlab-pygments = [
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@@ -2837,10 +2749,6 @@ markupsafe = [
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@@ -2862,6 +2770,10 @@ matplotlib = [
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{file = "nbclient-0.5.3.tar.gz", hash = "sha256:db17271330c68c8c88d46d72349e24c147bb6f34ec82d8481a8f025c4d26589c"},
@@ -2982,9 +2898,6 @@ numpy = [
{file = "numpy-1.20.2-pp37-pypy37_pp73-manylinux2010_x86_64.whl", hash = "sha256:97ce8b8ace7d3b9288d88177e66ee75480fb79b9cf745e91ecfe65d91a856042"},
{file = "numpy-1.20.2.zip", hash = "sha256:878922bf5ad7550aa044aa9301d417e2d3ae50f0f577de92051d739ac6096cee"},
]
-nvidia-ml-py3 = [
- {file = "nvidia-ml-py3-7.352.0.tar.gz", hash = "sha256:390f02919ee9d73fe63a98c73101061a6b37fa694a793abf56673320f1f51277"},
-]
oauthlib = [
{file = "oauthlib-3.1.0-py2.py3-none-any.whl", hash = "sha256:df884cd6cbe20e32633f1db1072e9356f53638e4361bef4e8b03c9127c9328ea"},
{file = "oauthlib-3.1.0.tar.gz", hash = "sha256:bee41cc35fcca6e988463cacc3bcb8a96224f470ca547e697b604cc697b2f889"},
@@ -3090,8 +3003,8 @@ pluggy = [
{file = "pluggy-0.13.1.tar.gz", hash = "sha256:15b2acde666561e1298d71b523007ed7364de07029219b604cf808bfa1c765b0"},
]
prometheus-client = [
- {file = "prometheus_client-0.10.0-py2.py3-none-any.whl", hash = "sha256:c5843b3e1b4689a3599a2463e5b5850d110d1a7e28a94bdc2c6f5bb6585cfb18"},
- {file = "prometheus_client-0.10.0.tar.gz", hash = "sha256:1e7bc14fd6ca9c3fc07309b73a7a3469920dfe88ca9f331c02258cc62736cbc2"},
+ {file = "prometheus_client-0.10.1-py2.py3-none-any.whl", hash = "sha256:030e4f9df5f53db2292eec37c6255957eb76168c6f974e4176c711cf91ed34aa"},
+ {file = "prometheus_client-0.10.1.tar.gz", hash = "sha256:b6c5a9643e3545bcbfd9451766cbaa5d9c67e7303c7bc32c750b6fa70ecb107d"},
]
promise = [
{file = "promise-2.3.tar.gz", hash = "sha256:dfd18337c523ba4b6a58801c164c1904a9d4d1b1747c7d5dbf45b693a49d93d0"},
@@ -3198,6 +3111,10 @@ pycparser = [
{file = "pycparser-2.20-py2.py3-none-any.whl", hash = "sha256:7582ad22678f0fcd81102833f60ef8d0e57288b6b5fb00323d101be910e35705"},
{file = "pycparser-2.20.tar.gz", hash = "sha256:2d475327684562c3a96cc71adf7dc8c4f0565175cf86b6d7a404ff4c771f15f0"},
]
+pydeprecate = [
+ {file = "pyDeprecate-0.3.0-py3-none-any.whl", hash = "sha256:2497dd3a293eb62304ea28cacf5e4e58af8a773b4cefec8dc11a3121d06b8354"},
+ {file = "pyDeprecate-0.3.0.tar.gz", hash = "sha256:335742ec53b9d22a0a9ff4f3470300c94935f6e169c74b08aee14d871ca40e00"},
+]
pydocstyle = [
{file = "pydocstyle-6.0.0-py3-none-any.whl", hash = "sha256:d4449cf16d7e6709f63192146706933c7a334af7c0f083904799ccb851c50f6d"},
{file = "pydocstyle-6.0.0.tar.gz", hash = "sha256:164befb520d851dbcf0e029681b91f4f599c62c5cd8933fd54b1bfbd50e89e1f"},
@@ -3234,8 +3151,8 @@ python-dateutil = [
{file = "python_dateutil-2.8.1-py2.py3-none-any.whl", hash = "sha256:75bb3f31ea686f1197762692a9ee6a7550b59fc6ca3a1f4b5d7e32fb98e2da2a"},
]
pytorch-lightning = [
- {file = "pytorch-lightning-1.2.6.tar.gz", hash = "sha256:3db92cf30165fb04b9ebd466eca906818a46e326484ff83e1f53237cfc097dff"},
- {file = "pytorch_lightning-1.2.6-py3-none-any.whl", hash = "sha256:73f43ace6cb3a12f1df7c978e8277b80c8e2f409da5be9aecb98bb0206068a96"},
+ {file = "pytorch-lightning-1.3.1.tar.gz", hash = "sha256:877d2f3d6a04aa7aed67612331d1286502f006ada64ad8f81e3a669a2aa8c4e9"},
+ {file = "pytorch_lightning-1.3.1-py3-none-any.whl", hash = "sha256:9d226771998daada369d242561572bc96677de2501c20f14e174dff1a6e9b7a8"},
]
pytz = [
{file = "pytz-2021.1-py2.py3-none-any.whl", hash = "sha256:eb10ce3e7736052ed3623d49975ce333bcd712c7bb19a58b9e2089d4057d0798"},
@@ -3314,21 +3231,6 @@ pyzmq = [
{file = "pyzmq-22.0.3-pp37-pypy37_pp73-win32.whl", hash = "sha256:279cc9b51db48bec2db146f38e336049ac5a59e5f12fb3a8ad864e238c1c62e3"},
{file = "pyzmq-22.0.3.tar.gz", hash = "sha256:f7f63ce127980d40f3e6a5fdb87abf17ce1a7c2bd8bf2c7560e1bbce8ab1f92d"},
]
-qtconsole = [
- {file = "qtconsole-5.0.3-py3-none-any.whl", hash = "sha256:4a38053993ca2da058f76f8d75b3d8906efbf9183de516f92f222ac8e37d9614"},
- {file = "qtconsole-5.0.3.tar.gz", hash = "sha256:c091a35607d2a2432e004c4a112d241ce908086570cf68594176dd52ccaa212d"},
-]
-qtpy = [
- {file = "QtPy-1.9.0-py2.py3-none-any.whl", hash = "sha256:fa0b8363b363e89b2a6f49eddc162a04c0699ae95e109a6be3bb145a913190ea"},
- {file = "QtPy-1.9.0.tar.gz", hash = "sha256:2db72c44b55d0fe1407be8fba35c838ad0d6d3bb81f23007886dc1fc0f459c8d"},
-]
-redis = [
- {file = "redis-3.5.3-py2.py3-none-any.whl", hash = "sha256:432b788c4530cfe16d8d943a09d40ca6c16149727e4afe8c2c9d5580c59d9f24"},
- {file = "redis-3.5.3.tar.gz", hash = "sha256:0e7e0cfca8660dea8b7d5cd8c4f6c5e29e11f31158c0b0ae91a397f00e5a05a2"},
-]
-redlock-py = [
- {file = "redlock-py-1.0.8.tar.gz", hash = "sha256:0b8722c4843ddeabc2fc1dd37c05859e0da29fbce3bd1f6ecc73c98396f139ac"},
-]
regex = [
{file = "regex-2021.3.17-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:b97ec5d299c10d96617cc851b2e0f81ba5d9d6248413cd374ef7f3a8871ee4a6"},
{file = "regex-2021.3.17-cp36-cp36m-manylinux1_i686.whl", hash = "sha256:cb4ee827857a5ad9b8ae34d3c8cc51151cb4a3fe082c12ec20ec73e63cc7c6f0"},
@@ -3471,6 +3373,10 @@ smmap = [
{file = "smmap-4.0.0-py2.py3-none-any.whl", hash = "sha256:a9a7479e4c572e2e775c404dcd3080c8dc49f39918c2cf74913d30c4c478e3c2"},
{file = "smmap-4.0.0.tar.gz", hash = "sha256:7e65386bd122d45405ddf795637b7f7d2b532e7e401d46bbe3fb49b9986d5182"},
]
+sniffio = [
+ {file = "sniffio-1.2.0-py3-none-any.whl", hash = "sha256:471b71698eac1c2112a40ce2752bb2f4a4814c22a54a3eed3676bc0f5ca9f663"},
+ {file = "sniffio-1.2.0.tar.gz", hash = "sha256:c4666eecec1d3f50960c6bdf61ab7bc350648da6c126e3cf6898d8cd4ddcd3de"},
+]
snowballstemmer = [
{file = "snowballstemmer-2.1.0-py2.py3-none-any.whl", hash = "sha256:b51b447bea85f9968c13b650126a888aabd4cb4463fca868ec596826325dedc2"},
{file = "snowballstemmer-2.1.0.tar.gz", hash = "sha256:e997baa4f2e9139951b6f4c631bad912dfd3c792467e2f03d7239464af90e914"},
@@ -3479,14 +3385,6 @@ sphinx = [
{file = "Sphinx-3.5.3-py3-none-any.whl", hash = "sha256:3f01732296465648da43dec8fb40dc451ba79eb3e2cc5c6d79005fd98197107d"},
{file = "Sphinx-3.5.3.tar.gz", hash = "sha256:ce9c228456131bab09a3d7d10ae58474de562a6f79abb3dc811ae401cf8c1abc"},
]
-sphinx-autodoc-typehints = [
- {file = "sphinx-autodoc-typehints-1.11.1.tar.gz", hash = "sha256:244ba6d3e2fdb854622f643c7763d6f95b6886eba24bec28e86edf205e4ddb20"},
- {file = "sphinx_autodoc_typehints-1.11.1-py3-none-any.whl", hash = "sha256:da049791d719f4c9813642496ee4764203e317f0697eb75446183fa2a68e3f77"},
-]
-sphinx-rtd-theme = [
- {file = "sphinx_rtd_theme-0.4.3-py2.py3-none-any.whl", hash = "sha256:00cf895504a7895ee433807c62094cf1e95f065843bf3acd17037c3e9a2becd4"},
- {file = "sphinx_rtd_theme-0.4.3.tar.gz", hash = "sha256:728607e34d60456d736cc7991fd236afb828b21b82f956c5ea75f94c8414040a"},
-]
sphinxcontrib-applehelp = [
{file = "sphinxcontrib-applehelp-1.0.2.tar.gz", hash = "sha256:a072735ec80e7675e3f432fcae8610ecf509c5f1869d17e2eecff44389cdbc58"},
{file = "sphinxcontrib_applehelp-1.0.2-py2.py3-none-any.whl", hash = "sha256:806111e5e962be97c29ec4c1e7fe277bfd19e9652fb1a4392105b43e01af885a"},
@@ -3527,8 +3425,8 @@ tensorboard-plugin-wit = [
{file = "tensorboard_plugin_wit-1.8.0-py3-none-any.whl", hash = "sha256:2a80d1c551d741e99b2f197bb915d8a133e24adb8da1732b840041860f91183a"},
]
terminado = [
- {file = "terminado-0.9.4-py3-none-any.whl", hash = "sha256:daed77f9fad7b32558fa84b226a76f45a02242c20813502f36c4e1ade6d8f1ad"},
- {file = "terminado-0.9.4.tar.gz", hash = "sha256:9a7dbcfbc2778830eeb70261bf7aa9d98a3eac8631a3afe3febeb57c12f798be"},
+ {file = "terminado-0.9.5-py3-none-any.whl", hash = "sha256:3838414888b49a96145e277fd707a26a0fdb4bdaba88bb677a44abb68e3a1041"},
+ {file = "terminado-0.9.5.tar.gz", hash = "sha256:54c22cfb47cf79d4ff4ed2e7b5f8f98ecc28d0830f980465b6e04cf09cf553cf"},
]
testpath = [
{file = "testpath-0.4.4-py2.py3-none-any.whl", hash = "sha256:bfcf9411ef4bf3db7579063e0546938b1edda3d69f4e1fb8756991f5951f85d4"},
@@ -3679,8 +3577,8 @@ urllib3 = [
{file = "urllib3-1.26.4.tar.gz", hash = "sha256:e7b021f7241115872f92f43c6508082facffbd1c048e3c6e2bb9c2a157e28937"},
]
wandb = [
- {file = "wandb-0.10.28-py2.py3-none-any.whl", hash = "sha256:609f2605ec82f846490a2bdd9d01fa947b1892a76133cbb80c41501e5dfda763"},
- {file = "wandb-0.10.28.tar.gz", hash = "sha256:b48aa55f147717e197d38b0dd9d9ef3662efe54fefc0be2909f93e8a5c0cc71b"},
+ {file = "wandb-0.10.30-py2.py3-none-any.whl", hash = "sha256:b3108a2d347fe7a522b29eb9d85ffa10930e6fc5dc4d9fa8b1d828a4fd705b0f"},
+ {file = "wandb-0.10.30.tar.gz", hash = "sha256:94e1989aabefb9068c8d8c5307dc2303fc352a2f856d82f561dd8c7ad59163f0"},
]
wcwidth = [
{file = "wcwidth-0.2.5-py2.py3-none-any.whl", hash = "sha256:beb4802a9cebb9144e99086eff703a642a13d6a0052920003a230f3294bbe784"},
@@ -3690,14 +3588,14 @@ webencodings = [
{file = "webencodings-0.5.1-py2.py3-none-any.whl", hash = "sha256:a0af1213f3c2226497a97e2b3aa01a7e4bee4f403f95be16fc9acd2947514a78"},
{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"},
+]
werkzeug = [
{file = "Werkzeug-1.0.1-py2.py3-none-any.whl", hash = "sha256:2de2a5db0baeae7b2d2664949077c2ac63fbd16d98da0ff71837f7d1dea3fd43"},
{file = "Werkzeug-1.0.1.tar.gz", hash = "sha256:6c80b1e5ad3665290ea39320b91e1be1e0d5f60652b964a3070216de83d2e47c"},
]
-widgetsnbextension = [
- {file = "widgetsnbextension-3.5.1-py2.py3-none-any.whl", hash = "sha256:bd314f8ceb488571a5ffea6cc5b9fc6cba0adaf88a9d2386b93a489751938bcd"},
- {file = "widgetsnbextension-3.5.1.tar.gz", hash = "sha256:079f87d87270bce047512400efd70238820751a11d2d8cb137a5a5bdbaf255c7"},
-]
win32-setctime = [
{file = "win32_setctime-1.0.3-py3-none-any.whl", hash = "sha256:dc925662de0a6eb987f0b01f599c01a8236cb8c62831c22d9cada09ad958243e"},
{file = "win32_setctime-1.0.3.tar.gz", hash = "sha256:4e88556c32fdf47f64165a2180ba4552f8bb32c1103a2fafd05723a0bd42bd4b"},
diff --git a/pyproject.toml b/pyproject.toml
index 6f050c9..33c7287 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -10,14 +10,8 @@ repository = "https://github.com/aktersnurra/text-recognizer"
keywords = ["text recognizer, deep learning, pytorch"]
[tool.poetry.dependencies]
-python = "^3.8"
+python = "^3.9"
click = "^7.1.2"
-flake8-annotations = "^2.1.0"
-flake8-docstrings = "^1.5.0"
-darglint = "^1.3.1"
-marshmallow = "^3.6.0"
-sphinx-autodoc-typehints = "^1.10.3"
-sphinx_rtd_theme = "^0.4.3"
boltons = "^20.1.0"
h5py = "^3.2.1"
toml = "^0.10.1"
@@ -32,11 +26,10 @@ nltk = "^3.5"
torch-summary = "^1.4.2"
defusedxml = "^0.6.0"
omegaconf = "^2.0.2"
-wandb = "^0.10.28"
einops = "^0.3.0"
gtn = "^0.0.0"
sentencepiece = "^0.1.95"
-pytorch-lightning = "^1.2.4"
+pytorch-lightning = "^1.3.1"
Pillow = "^8.1.2"
madgrad = "^1.0"
editdistance = "^0.5.3"
@@ -60,12 +53,12 @@ pytype = {version = "^2020.5.13", python = "3.7"}
typeguard = "^2.7.1"
xdoctest = "^0.12.0"
sphinx = "^3.0.4"
-jupyter = "^1.0.0"
-gpustat = "^0.6.0"
-redlock-py = "^1.0.8"
-wandb = "^0.10.11"
-graphviz = "^0.16"
+wandb = "^0.10.30"
scipy = "^1.6.1"
+flake8-annotations = "^2.6.2"
+flake8-docstrings = "^1.6.0"
+darglint = "^1.8.0"
+jupyterlab = "^3.0.15"
[tool.coverage.report]
fail_under = 50
generated by cgit v1.2.3-70-g09d2 (git 2.46.0) at 2024-12-26 05:21:33 +0000