Update to latest fastai
This commit is contained in:
@@ -734,7 +734,7 @@
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}
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],
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],
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"source": [
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"source": [
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"dls.valid.show_batch(max_n=4, rows=1)"
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"dls.valid.show_batch(max_n=4, nrows=1)"
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]
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]
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{
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@@ -765,7 +765,7 @@
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"source": [
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"source": [
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"bears = bears.new(item_tfms=Resize(128, ResizeMethod.Squish))\n",
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"bears = bears.new(item_tfms=Resize(128, ResizeMethod.Squish))\n",
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"dls = bears.dataloaders(path)\n",
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"dls = bears.dataloaders(path)\n",
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"dls.valid.show_batch(max_n=4, rows=1)"
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"dls.valid.show_batch(max_n=4, nrows=1)"
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]
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]
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},
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{
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{
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@@ -789,7 +789,7 @@
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"source": [
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"source": [
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"bears = bears.new(item_tfms=Resize(128, ResizeMethod.Pad, pad_mode='zeros'))\n",
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"bears = bears.new(item_tfms=Resize(128, ResizeMethod.Pad, pad_mode='zeros'))\n",
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"dls = bears.dataloaders(path)\n",
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"dls = bears.dataloaders(path)\n",
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"dls.valid.show_batch(max_n=4, rows=1)"
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"dls.valid.show_batch(max_n=4, nrows=1)"
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]
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]
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},
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},
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{
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{
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@@ -825,7 +825,7 @@
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"bears = bears.new(item_tfms=RandomResizedCrop(128, min_scale=0.3))\n",
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"bears = bears.new(item_tfms=RandomResizedCrop(128, min_scale=0.3))\n",
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"dls = bears.dataloaders(path)\n",
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"dls = bears.dataloaders(path)\n",
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"dls.train.get_idxs = lambda: Inf.ones\n",
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"dls.train.get_idxs = lambda: Inf.ones\n",
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"dls.train.show_batch(max_n=4, rows=1)"
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"dls.train.show_batch(max_n=4, nrows=1)"
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]
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]
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},
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},
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{
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{
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@@ -880,7 +880,7 @@
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"bears = bears.new(item_tfms=Resize(128), batch_tfms=aug_transforms(mult=2))\n",
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"bears = bears.new(item_tfms=Resize(128), batch_tfms=aug_transforms(mult=2))\n",
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"dls = bears.dataloaders(path)\n",
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"dls = bears.dataloaders(path)\n",
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"dls.train.get_idxs = lambda: Inf.ones\n",
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"dls.train.get_idxs = lambda: Inf.ones\n",
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"dls.train.show_batch(max_n=8, rows=2)"
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"dls.train.show_batch(max_n=8, nrows=2)"
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]
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]
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},
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},
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{
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{
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@@ -1089,7 +1089,7 @@
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}
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}
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],
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],
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"source": [
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"source": [
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"interp.plot_top_losses(5, rows=1)"
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"interp.plot_top_losses(5, nrows=1)"
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]
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]
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},
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},
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{
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{
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@@ -1929,10 +1929,25 @@
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}
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}
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],
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],
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"metadata": {
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"metadata": {
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"jupytext": {
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"split_at_heading": true
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},
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"kernelspec": {
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"kernelspec": {
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"display_name": "Python 3",
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"display_name": "Python 3",
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"language": "python",
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"language": "python",
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"name": "python3"
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.7.4"
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}
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}
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},
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},
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"nbformat": 4,
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"nbformat": 4,
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@@ -362,7 +362,7 @@
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}
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}
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],
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],
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"source": [
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"source": [
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"dls.show_batch(rows=1, cols=3)"
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"dls.show_batch(nrows=1, ncols=3)"
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]
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]
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},
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},
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{
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{
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@@ -2525,10 +2525,25 @@
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}
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}
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],
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],
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"metadata": {
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"metadata": {
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"jupytext": {
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"split_at_heading": true
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},
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"kernelspec": {
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"kernelspec": {
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"display_name": "Python 3",
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"display_name": "Python 3",
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"language": "python",
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"language": "python",
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"name": "python3"
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.7.4"
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}
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}
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},
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},
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"nbformat": 4,
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"nbformat": 4,
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@@ -653,7 +653,7 @@
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}
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}
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],
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],
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"source": [
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"source": [
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"dls.show_batch(rows=1, cols=3)"
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"dls.show_batch(nrows=1, ncols=3)"
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]
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]
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},
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},
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{
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{
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@@ -332,7 +332,7 @@
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}
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}
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],
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],
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"source": [
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"source": [
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"dls.valid.show_batch(max_n=4, rows=1)"
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"dls.valid.show_batch(max_n=4, nrows=1)"
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]
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]
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},
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},
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{
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{
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@@ -356,7 +356,7 @@
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"source": [
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"source": [
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"bears = bears.new(item_tfms=Resize(128, ResizeMethod.Squish))\n",
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"bears = bears.new(item_tfms=Resize(128, ResizeMethod.Squish))\n",
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"dls = bears.dataloaders(path)\n",
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"dls = bears.dataloaders(path)\n",
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"dls.valid.show_batch(max_n=4, rows=1)"
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"dls.valid.show_batch(max_n=4, nrows=1)"
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]
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]
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},
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},
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{
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{
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@@ -380,7 +380,7 @@
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"source": [
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"source": [
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"bears = bears.new(item_tfms=Resize(128, ResizeMethod.Pad, pad_mode='zeros'))\n",
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"bears = bears.new(item_tfms=Resize(128, ResizeMethod.Pad, pad_mode='zeros'))\n",
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"dls = bears.dataloaders(path)\n",
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"dls = bears.dataloaders(path)\n",
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"dls.valid.show_batch(max_n=4, rows=1)"
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"dls.valid.show_batch(max_n=4, nrows=1)"
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]
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]
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},
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},
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{
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{
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@@ -405,7 +405,7 @@
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"bears = bears.new(item_tfms=RandomResizedCrop(128, min_scale=0.3))\n",
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"bears = bears.new(item_tfms=RandomResizedCrop(128, min_scale=0.3))\n",
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"dls = bears.dataloaders(path)\n",
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"dls = bears.dataloaders(path)\n",
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"dls.train.get_idxs = lambda: Inf.ones\n",
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"dls.train.get_idxs = lambda: Inf.ones\n",
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"dls.train.show_batch(max_n=4, rows=1)"
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"dls.train.show_batch(max_n=4, nrows=1)"
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]
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]
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},
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},
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{
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{
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@@ -437,7 +437,7 @@
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"bears = bears.new(item_tfms=Resize(128), batch_tfms=aug_transforms(mult=2))\n",
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"bears = bears.new(item_tfms=Resize(128), batch_tfms=aug_transforms(mult=2))\n",
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"dls = bears.dataloaders(path)\n",
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"dls = bears.dataloaders(path)\n",
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"dls.train.get_idxs = lambda: Inf.ones\n",
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"dls.train.get_idxs = lambda: Inf.ones\n",
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"dls.train.show_batch(max_n=8, rows=2)"
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"dls.train.show_batch(max_n=8, nrows=2)"
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]
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]
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},
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},
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{
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{
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@@ -605,7 +605,7 @@
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}
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}
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],
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],
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"source": [
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"source": [
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"interp.plot_top_losses(5, rows=1)"
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"interp.plot_top_losses(5, nrows=1)"
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]
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]
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},
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},
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{
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{
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@@ -1046,10 +1046,25 @@
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}
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}
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],
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],
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"metadata": {
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"metadata": {
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"jupytext": {
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"split_at_heading": true
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},
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"kernelspec": {
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"kernelspec": {
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"display_name": "Python 3",
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"display_name": "Python 3",
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"language": "python",
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"language": "python",
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"name": "python3"
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.7.4"
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}
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}
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},
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},
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"nbformat": 4,
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"nbformat": 4,
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@@ -204,7 +204,7 @@
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}
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}
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],
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],
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"source": [
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"source": [
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"dls.show_batch(rows=1, cols=3)"
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"dls.show_batch(nrows=1, ncols=3)"
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]
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]
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},
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},
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{
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{
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@@ -1743,10 +1743,25 @@
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}
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}
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],
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],
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"metadata": {
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"metadata": {
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"jupytext": {
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"split_at_heading": true
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},
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"kernelspec": {
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"kernelspec": {
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"display_name": "Python 3",
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"display_name": "Python 3",
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"language": "python",
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"language": "python",
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"name": "python3"
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.7.4"
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}
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}
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},
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},
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"nbformat": 4,
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"nbformat": 4,
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@@ -439,7 +439,7 @@
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}
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}
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],
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],
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"source": [
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"source": [
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"dls.show_batch(rows=1, cols=3)"
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"dls.show_batch(nrows=1, ncols=3)"
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]
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]
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},
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},
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{
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{
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Reference in New Issue
Block a user