Spaces:
Running
Running
feat: remove warnings
Browse files
dev/inference/inference_pipeline.ipynb
CHANGED
@@ -1441,27 +1441,15 @@
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{
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"cell_type": "code",
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"metadata": {
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"id": "hiD9ZlHu_PsA"
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"colab": {
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"base_uri": "https://localhost:8080/"
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},
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"outputId": "a9cb8c25-0271-4d19-a20b-9c2d42f5dd4b"
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},
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"source": [
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"# set up model and processor\n",
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"clip = FlaxCLIPModel.from_pretrained(\"openai/clip-vit-base-patch32\")\n",
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"processor = CLIPProcessor.from_pretrained(\"openai/clip-vit-base-patch32\")"
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],
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"execution_count":
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"outputs": [
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{
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"output_type": "stream",
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"text": [
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"ftfy or spacy is not installed using BERT BasicTokenizer instead of ftfy.\n"
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],
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"name": "stderr"
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"cell_type": "code",
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@@ -1758,30 +1746,15 @@
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"cell_type": "code",
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"metadata": {
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"
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"base_uri": "https://localhost:8080/"
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},
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"id": "o1n_MF8DkU25",
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"outputId": "8624c006-414d-4e47-c9c6-dfc6496eaefd"
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},
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"source": [
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"# replicate parameters on all devices\n",
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"dalle_params = replicate(model.params)\n",
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"vqgan_params = replicate(vqgan.params)"
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],
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"execution_count":
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"outputs": [
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"output_type": "stream",
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"text": [
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"/usr/local/lib/python3.7/dist-packages/jax/lib/xla_bridge.py:387: UserWarning: jax.host_count has been renamed to jax.process_count. This alias will eventually be removed; please update your code.\n",
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" \"jax.host_count has been renamed to jax.process_count. This alias \"\n",
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"/usr/local/lib/python3.7/dist-packages/jax/lib/xla_bridge.py:374: UserWarning: jax.host_id has been renamed to jax.process_index. This alias will eventually be removed; please update your code.\n",
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" \"jax.host_id has been renamed to jax.process_index. This alias \"\n"
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],
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"name": "stderr"
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}
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]
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"cell_type": "code",
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"cell_type": "code",
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"metadata": {
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"id": "hiD9ZlHu_PsA"
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},
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"source": [
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"# set up model and processor\n",
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"clip = FlaxCLIPModel.from_pretrained(\"openai/clip-vit-base-patch32\")\n",
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"processor = CLIPProcessor.from_pretrained(\"openai/clip-vit-base-patch32\")"
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],
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"execution_count": null,
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"outputs": []
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"cell_type": "code",
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"cell_type": "code",
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"metadata": {
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"id": "o1n_MF8DkU25"
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},
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"source": [
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"# replicate parameters on all devices\n",
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"dalle_params = replicate(model.params)\n",
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"vqgan_params = replicate(vqgan.params)"
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],
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"execution_count": null,
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"outputs": []
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"cell_type": "code",
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