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authoraktersnurra <gustaf.rydholm@gmail.com>2020-09-09 23:31:31 +0200
committeraktersnurra <gustaf.rydholm@gmail.com>2020-09-09 23:31:31 +0200
commit2b63fd952bdc9c7c72edd501cbcdbf3231e98f00 (patch)
tree1c0e0898cb8b66faff9e5d410aa1f82d13542f68 /src/notebooks/04a-look-at-iam-lines.ipynb
parente1b504bca41a9793ed7e88ef14f2e2cbd85724f2 (diff)
Created an abstract Dataset class for common methods.
Diffstat (limited to 'src/notebooks/04a-look-at-iam-lines.ipynb')
-rw-r--r--src/notebooks/04a-look-at-iam-lines.ipynb101
1 files changed, 83 insertions, 18 deletions
diff --git a/src/notebooks/04a-look-at-iam-lines.ipynb b/src/notebooks/04a-look-at-iam-lines.ipynb
index aa62d19..0f9fefb 100644
--- a/src/notebooks/04a-look-at-iam-lines.ipynb
+++ b/src/notebooks/04a-look-at-iam-lines.ipynb
@@ -2,18 +2,9 @@
"cells": [
{
"cell_type": "code",
- "execution_count": 12,
+ "execution_count": 1,
"metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "The autoreload extension is already loaded. To reload it, use:\n",
- " %reload_ext autoreload\n"
- ]
- }
- ],
+ "outputs": [],
"source": [
"%load_ext autoreload\n",
"%autoreload 2\n",
@@ -32,7 +23,7 @@
},
{
"cell_type": "code",
- "execution_count": 13,
+ "execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
@@ -41,7 +32,7 @@
},
{
"cell_type": "code",
- "execution_count": 15,
+ "execution_count": 4,
"metadata": {},
"outputs": [
{
@@ -65,7 +56,7 @@
},
{
"cell_type": "code",
- "execution_count": 16,
+ "execution_count": 5,
"metadata": {},
"outputs": [
{
@@ -74,7 +65,7 @@
"(97, 80)"
]
},
- "execution_count": 16,
+ "execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
@@ -85,7 +76,7 @@
},
{
"cell_type": "code",
- "execution_count": 17,
+ "execution_count": 6,
"metadata": {},
"outputs": [
{
@@ -94,7 +85,7 @@
"'A MOVE to stop Mr. Gaitskell from________________________________________________________________'"
]
},
- "execution_count": 17,
+ "execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
@@ -108,7 +99,7 @@
},
{
"cell_type": "code",
- "execution_count": 24,
+ "execution_count": 7,
"metadata": {},
"outputs": [
{
@@ -260,6 +251,80 @@
},
{
"cell_type": "code",
+ "execution_count": 8,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "data, target = dataset[0]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 9,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "torch.Size([1, 28, 952])"
+ ]
+ },
+ "execution_count": 9,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "data.shape"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 10,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "torch.Size([97])"
+ ]
+ },
+ "execution_count": 10,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "target.shape\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 11,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "tensor([10, 62, 22, 24, 31, 14, 62, 55, 50, 62, 54, 55, 50, 51, 62, 22, 53, 74,\n",
+ " 62, 16, 36, 44, 55, 54, 46, 40, 47, 47, 62, 41, 53, 50, 48, 79, 79, 79,\n",
+ " 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79,\n",
+ " 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79,\n",
+ " 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79,\n",
+ " 79, 79, 79, 79, 79, 79, 79], dtype=torch.uint8)"
+ ]
+ },
+ "execution_count": 11,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "target"
+ ]
+ },
+ {
+ "cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],