Commit
•
5a6dcda
1
Parent(s):
8559d3b
Update developement files to allow cross-platform use
Browse files- README.md +0 -9
- client_server_interface.py +3 -2
- filters/black and white/deployment/client.zip +1 -1
- filters/black and white/deployment/server.zip +2 -2
- filters/blur/deployment/client.zip +1 -1
- filters/blur/deployment/server.zip +2 -2
- filters/identity/deployment/client.zip +1 -1
- filters/identity/deployment/server.zip +2 -2
- filters/inverted/deployment/client.zip +1 -1
- filters/inverted/deployment/server.zip +2 -2
- filters/ridge detection/deployment/client.zip +1 -1
- filters/ridge detection/deployment/server.zip +2 -2
- filters/rotate/deployment/client.zip +1 -1
- filters/rotate/deployment/server.zip +2 -2
- filters/sharpen/deployment/client.zip +1 -1
- filters/sharpen/deployment/server.zip +2 -2
- server.py +7 -3
README.md
CHANGED
@@ -37,15 +37,6 @@ pip3 install -r requirements.txt --ignore-installed
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The above steps should only be done once.
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## Generate development files
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If you are not on Linux, you will need to re-generate the development files manually before launching the app.
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```bash
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python3 generate_dev_filters.py
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```
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## Run the app
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In a terminal, run:
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The above steps should only be done once.
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## Run the app
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In a terminal, run:
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client_server_interface.py
CHANGED
@@ -65,9 +65,10 @@ class FHEDev:
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"The model must be compiled before saving it."
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)
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# Save the circuit for the server
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path_circuit_server = self.path_dir / "server.zip"
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self.filter.fhe_circuit.server.save(path_circuit_server)
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# Save the circuit for the client
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path_circuit_client = self.path_dir / "client.zip"
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"The model must be compiled before saving it."
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)
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# Save the circuit for the server, using the via_mlir in order to handle cross-platform
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# execution
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path_circuit_server = self.path_dir / "server.zip"
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self.filter.fhe_circuit.server.save(path_circuit_server, via_mlir=True)
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# Save the circuit for the client
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path_circuit_client = self.path_dir / "client.zip"
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filters/black and white/deployment/client.zip
CHANGED
@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 348
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version https://git-lfs.github.com/spec/v1
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size 348
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filters/black and white/deployment/server.zip
CHANGED
@@ -1,3 +1,3 @@
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oid sha256:
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size
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size 840
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filters/blur/deployment/client.zip
CHANGED
@@ -1,3 +1,3 @@
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size 360
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size 360
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filters/blur/deployment/server.zip
CHANGED
@@ -1,3 +1,3 @@
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size
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size 824
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filters/identity/deployment/client.zip
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@@ -1,3 +1,3 @@
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size 347
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size 347
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filters/identity/deployment/server.zip
CHANGED
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filters/inverted/deployment/client.zip
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size 347
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filters/inverted/deployment/server.zip
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size 663
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filters/ridge detection/deployment/client.zip
CHANGED
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size 369
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size 369
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filters/ridge detection/deployment/server.zip
CHANGED
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filters/rotate/deployment/client.zip
CHANGED
@@ -1,3 +1,3 @@
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filters/rotate/deployment/server.zip
CHANGED
@@ -1,3 +1,3 @@
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filters/sharpen/deployment/client.zip
CHANGED
@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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filters/sharpen/deployment/server.zip
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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server.py
CHANGED
@@ -5,9 +5,13 @@ from typing import List
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from fastapi import FastAPI, File, Form, UploadFile
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from fastapi.responses import JSONResponse, Response
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from common import FILTERS_PATH, SERVER_TMP_PATH
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from client_server_interface import FHEServer
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def get_server_file_path(name, user_id, filter_name):
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"""Get the correct temporary file path for the server.
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encrypted_image = encrypted_image_file.read()
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evaluation_key = evaluation_key_file.read()
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# Load the FHE server
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fhe_server =
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# Run the FHE execution
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start = time.time()
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from fastapi import FastAPI, File, Form, UploadFile
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from fastapi.responses import JSONResponse, Response
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from common import FILTERS_PATH, SERVER_TMP_PATH, AVAILABLE_FILTERS
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from client_server_interface import FHEServer
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# Load the server objects related to all currently available filters once and for all
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FHE_SERVERS = {
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filter: FHEServer(FILTERS_PATH / f"{filter}/deployment") for filter in AVAILABLE_FILTERS
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}
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def get_server_file_path(name, user_id, filter_name):
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"""Get the correct temporary file path for the server.
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encrypted_image = encrypted_image_file.read()
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evaluation_key = evaluation_key_file.read()
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# Load the FHE server related to the chosen filter
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fhe_server = FHE_SERVERS[filter]
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# Run the FHE execution
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start = time.time()
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