Compile deployment files on python 3.10

SentimentClassification.ipynb

@@ -21,7 +21,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -312,8 +312,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Compilation time: 5.4779 seconds\n",
-      "FHE inference time: 1.1039 seconds\n"
+      "Compilation time: 5.3550 seconds\n",
+      "FHE inference time: 1.1162 seconds\n"
      ]
     }
    ],
@@ -390,7 +390,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Some weights of the model checkpoint at cardiffnlp/twitter-roberta-base-sentiment-latest were not used when initializing RobertaForSequenceClassification: ['roberta.pooler.dense.bias', 'roberta.pooler.dense.weight']\n",
+      "Some weights of the model checkpoint at cardiffnlp/twitter-roberta-base-sentiment-latest were not used when initializing RobertaForSequenceClassification: ['roberta.pooler.dense.weight', 'roberta.pooler.dense.bias']\n",
       "- This IS expected if you are initializing RobertaForSequenceClassification from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).\n",
       "- This IS NOT expected if you are initializing RobertaForSequenceClassification from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).\n"
      ]
@@ -426,7 +426,7 @@
       "\t- Avoid using `tokenizers` before the fork if possible\n",
       "\t- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)\n",
       "  0%|          | 0/30 [00:00<?, ?it/s]We strongly recommend passing in an `attention_mask` since your input_ids may be padded. See https://huggingface.co/docs/transformers/troubleshooting#incorrect-output-when-padding-tokens-arent-masked.\n",
-      "100%|██████████| 30/30 [00:20<00:00,  1.46it/s]\n"
+      "100%|██████████| 30/30 [00:20<00:00,  1.45it/s]\n"
      ]
     }
    ],
@@ -529,8 +529,8 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "100%|██████████| 13176/13176 [08:10<00:00, 26.88it/s]\n",
-      "100%|██████████| 1464/1464 [00:54<00:00, 26.90it/s]\n"
+      "100%|██████████| 13176/13176 [09:24<00:00, 23.36it/s]\n",
+      "100%|██████████| 1464/1464 [01:00<00:00, 24.12it/s]\n"
      ]
     }
    ],
@@ -791,21 +791,21 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Compilation time: 5.9232 seconds\n"
+      "Compilation time: 5.8594 seconds\n"
      ]
     },
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "100%|██████████| 1/1 [00:00<00:00, 17.83it/s]"
+      "100%|██████████| 1/1 [00:00<00:00, 17.16it/s]"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "FHE inference time: 0.8374 seconds\n"
+      "FHE inference time: 0.9319 seconds\n"
      ]
     },
     {
@@ -859,7 +859,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
+   "execution_count": 26,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -890,7 +890,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 27,
    "metadata": {},
    "outputs": [
     {
@@ -973,7 +973,7 @@
        "Transformer + XGBoost                      0.74489  "
       ]
      },
-     "execution_count": 33,
+     "execution_count": 27,
      "metadata": {},
      "output_type": "execute_result"
     }

compile.py

@@ -1,10 +1,6 @@
-import onnx
 import pandas as pd
-from concrete.ml.deployment import FHEModelDev, FHEModelClient
+from concrete.ml.deployment import FHEModelDev
 from concrete.ml.common.serialization.loaders import load
-from concrete.ml.onnx.convert import get_equivalent_numpy_forward_from_onnx_tree
-import json
-import os
 import shutil
 from pathlib import Path
 

deployment/sentiment_fhe_model/client.zip

@@ -1,3 +1,3 @@
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-oid sha256:972f0c7d83f12e3a43e8f923fc422cdb443b9f64bb6f74c1abf912836ba27e60
+oid sha256:fbde0af1d92d5c2b2e42d8d439ae75328773dac591826559fbc2043356c22388
 size 3887326

deployment/sentiment_fhe_model/server.zip

@@ -1,3 +1,3 @@
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-oid sha256:216d2a78d7ec47ec2a478d5f32ed34cee8a9c45700325e5d8de4e087b7ed8dfc
+oid sha256:e6ab63f4cae95dd9c418df05b0041d567f485ae16ae84f02068165b3df659baf
 size 3004

sentiment_fhe_model/deployment/client.zip

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:3f8beae6d9bb5b3ec454dd868a644fb90ea09efefa42f1c016d82ae92f8ab732
-size 128047

sentiment_fhe_model/deployment/server.zip

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:9d1d588333062510d6f7075419228a940c4b6a0005e0f9345ef599cb3b6d0748
-size 9550

sentiment_fhe_model/deployment/versions.json

@@ -1 +0,0 @@
-{"concrete-ml": "1.1.0", "concrete-python": "1.1.0rc1", "python": "3.9.16"}

sentiment_fhe_model/server_model.onnx

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:3c1835d9467bfdf77c48d3492cb7f6adaa20f6f9c106d22eecd4c4ca39f3256f
-size 932509