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Changes related to TF backend compatibility check for Vision Transformer on small datasets #1671

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Changes related to TF backend compatibility check for Vision Transformer on small datasets #1671

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67f094d
feat: Changes related to TF backend compatibility check for Vision Tr…
pksX01 Dec 6, 2023
692c028
updated keras 3 status in examples_master.py
pksX01 Feb 16, 2024
9c31b4c
Add .md and .ipynb
pksX01 Sep 25, 2024
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36 changes: 16 additions & 20 deletions examples/vision/ipynb/vit_small_ds.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -67,7 +67,7 @@
},
{
"cell_type": "code",
"execution_count": 0,
"execution_count": null,
"metadata": {
"colab_type": "code"
},
Expand Down Expand Up @@ -97,7 +97,7 @@
},
{
"cell_type": "code",
"execution_count": 0,
"execution_count": null,
"metadata": {
"colab_type": "code"
},
Expand Down Expand Up @@ -126,7 +126,7 @@
},
{
"cell_type": "code",
"execution_count": 0,
"execution_count": null,
"metadata": {
"colab_type": "code"
},
Expand Down Expand Up @@ -182,7 +182,7 @@
},
{
"cell_type": "code",
"execution_count": 0,
"execution_count": null,
"metadata": {
"colab_type": "code"
},
Expand Down Expand Up @@ -229,7 +229,7 @@
},
{
"cell_type": "code",
"execution_count": 0,
"execution_count": null,
"metadata": {
"colab_type": "code"
},
Expand Down Expand Up @@ -324,8 +324,7 @@
" else:\n",
" # Linearly project the flat patches\n",
" tokens = self.projection(flat_patches)\n",
" return (tokens, patches)\n",
""
" return (tokens, patches)\n"
]
},
{
Expand All @@ -339,7 +338,7 @@
},
{
"cell_type": "code",
"execution_count": 0,
"execution_count": null,
"metadata": {
"colab_type": "code"
},
Expand Down Expand Up @@ -402,7 +401,7 @@
},
{
"cell_type": "code",
"execution_count": 0,
"execution_count": null,
"metadata": {
"colab_type": "code"
},
Expand All @@ -423,8 +422,7 @@
" def call(self, encoded_patches):\n",
" encoded_positions = self.position_embedding(self.positions)\n",
" encoded_patches = encoded_patches + encoded_positions\n",
" return encoded_patches\n",
""
" return encoded_patches\n"
]
},
{
Expand Down Expand Up @@ -472,7 +470,7 @@
},
{
"cell_type": "code",
"execution_count": 0,
"execution_count": null,
"metadata": {
"colab_type": "code"
},
Expand All @@ -496,8 +494,7 @@
" attention_output = tf.einsum(\n",
" self._combine_equation, attention_scores_dropout, value\n",
" )\n",
" return attention_output, attention_scores\n",
""
" return attention_output, attention_scores\n"
]
},
{
Expand All @@ -511,7 +508,7 @@
},
{
"cell_type": "code",
"execution_count": 0,
"execution_count": null,
"metadata": {
"colab_type": "code"
},
Expand Down Expand Up @@ -541,7 +538,7 @@
},
{
"cell_type": "code",
"execution_count": 0,
"execution_count": null,
"metadata": {
"colab_type": "code"
},
Expand Down Expand Up @@ -589,8 +586,7 @@
" logits = layers.Dense(NUM_CLASSES)(features)\n",
" # Create the Keras model.\n",
" model = keras.Model(inputs=inputs, outputs=logits)\n",
" return model\n",
""
" return model\n"
]
},
{
Expand All @@ -604,7 +600,7 @@
},
{
"cell_type": "code",
"execution_count": 0,
"execution_count": null,
"metadata": {
"colab_type": "code"
},
Expand Down Expand Up @@ -754,4 +750,4 @@
},
"nbformat": 4,
"nbformat_minor": 0
}
}
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