mirror of
https://github.com/katanemo/plano.git
synced 2026-06-17 15:25:17 +02:00
fix more
This commit is contained in:
Adil Hafeez
parent
45e03ad0c0
commit
ee89c6cb38
12 changed files with 151 additions and 137 deletions
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@ -13,7 +13,7 @@ FROM envoyproxy/envoy:v1.31-latest as envoy
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#Build config generator, so that we have a single build image for both Rust and Python
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FROM python:3-slim as arch
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RUN apt-get update && apt-get install -y gettext-base && apt-get clean && rm -rf /var/lib/apt/lists/*
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RUN apt-get update && apt-get install -y gettext-base curl && apt-get clean && rm -rf /var/lib/apt/lists/*
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COPY --from=builder /arch/target/wasm32-wasi/release/prompt_gateway.wasm /etc/envoy/proxy-wasm-plugins/prompt_gateway.wasm
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COPY --from=builder /arch/target/wasm32-wasi/release/llm_gateway.wasm /etc/envoy/proxy-wasm-plugins/llm_gateway.wasm
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@ -11,6 +11,11 @@ services:
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- /etc/ssl/cert.pem:/etc/ssl/cert.pem
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- ~/archgw_logs:/var/log/
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env_file:
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- stage.env
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- env.list
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extra_hosts:
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- "host.docker.internal:host-gateway"
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healthcheck:
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test: ["CMD", "curl", "-f", "http://localhost:10000/healthz"]
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interval: 30s
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timeout: 10s
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retries: 3
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@ -3,7 +3,6 @@
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# Define paths
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source_schema="../arch_config_schema.yaml"
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source_compose="../docker-compose.yaml"
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source_stage_env="../stage.env"
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destination_dir="config"
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# Ensure the destination directory exists only if it doesn't already
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@ -15,7 +14,7 @@ fi
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# Copy the files
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cp "$source_schema" "$destination_dir/arch_config_schema.yaml"
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cp "$source_compose" "$destination_dir/docker-compose.yaml"
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cp "$source_stage_env" "$destination_dir/stage.env"
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touch "$destination_dir/env.list"
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# Print success message
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echo "Files copied successfully!"
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@ -34,7 +34,7 @@ def validate_and_render_schema():
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try:
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validate_prompt_config(ARCH_CONFIG_FILE, ARCH_CONFIG_SCHEMA_FILE)
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except Exception as e:
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print(e)
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print(str(e))
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exit(1) # validate_prompt_config failed. Exit
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with open(ARCH_CONFIG_FILE, "r") as file:
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@ -73,7 +73,6 @@ def validate_and_render_schema():
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print("updated clusters", inferred_clusters)
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config_yaml = add_secret_key_to_llm_providers(config_yaml)
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arch_llm_providers = config_yaml["llm_providers"]
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arch_tracing = config_yaml.get("tracing", {})
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arch_config_string = yaml.dump(config_yaml)
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@ -170,7 +170,7 @@ def up(file, path, service):
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arch_config_schema_file=arch_schema_config,
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)
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except Exception as e:
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log.info(f"Exiting archgw up: {e}")
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log.info(f"Exiting archgw up: validation failed")
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sys.exit(1)
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log.info("Starging arch model server and arch gateway")
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@ -183,6 +183,8 @@ def up(file, path, service):
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# remove duplicates
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access_keys = set(access_keys)
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# remove the $ from the access_keys
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access_keys = [item[1:] if item.startswith("$") else item for item in access_keys]
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if access_keys:
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if file:
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@ -212,7 +214,7 @@ def up(file, path, service):
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env_stage[access_key] = env_file_dict[access_key]
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with open(
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pkg_resources.resource_filename(__name__, "../config/stage.env"), "w"
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pkg_resources.resource_filename(__name__, "../config/env.list"), "w"
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) as file:
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for key, value in env_stage.items():
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file.write(f"{key}={value}\n")
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@ -22,7 +22,7 @@ pydantic = "^2.9.2"
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click = "^8.1.7"
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jinja2 = "^3.1.4"
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jsonschema = "^4.23.0"
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setuptools = "75.2.0"
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setuptools = "75.3.0"
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archgw_modelserver = "0.0.5"
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huggingface_hub = "^0.26.0"
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16
e2e_tests/poetry.lock
generated
16
e2e_tests/poetry.lock
generated
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@ -455,13 +455,13 @@ files = [
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[[package]]
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name = "pytest"
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version = "7.4.4"
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version = "8.3.3"
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description = "pytest: simple powerful testing with Python"
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optional = false
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python-versions = ">=3.7"
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python-versions = ">=3.8"
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files = [
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{file = "pytest-7.4.4-py3-none-any.whl", hash = "sha256:b090cdf5ed60bf4c45261be03239c2c1c22df034fbffe691abe93cd80cea01d8"},
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{file = "pytest-7.4.4.tar.gz", hash = "sha256:2cf0005922c6ace4a3e2ec8b4080eb0d9753fdc93107415332f50ce9e7994280"},
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{file = "pytest-8.3.3-py3-none-any.whl", hash = "sha256:a6853c7375b2663155079443d2e45de913a911a11d669df02a50814944db57b2"},
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{file = "pytest-8.3.3.tar.gz", hash = "sha256:70b98107bd648308a7952b06e6ca9a50bc660be218d53c257cc1fc94fda10181"},
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]
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[package.dependencies]
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@ -469,11 +469,11 @@ colorama = {version = "*", markers = "sys_platform == \"win32\""}
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exceptiongroup = {version = ">=1.0.0rc8", markers = "python_version < \"3.11\""}
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iniconfig = "*"
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packaging = "*"
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pluggy = ">=0.12,<2.0"
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tomli = {version = ">=1.0.0", markers = "python_version < \"3.11\""}
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pluggy = ">=1.5,<2"
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tomli = {version = ">=1", markers = "python_version < \"3.11\""}
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[package.extras]
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testing = ["argcomplete", "attrs (>=19.2.0)", "hypothesis (>=3.56)", "mock", "nose", "pygments (>=2.7.2)", "requests", "setuptools", "xmlschema"]
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dev = ["argcomplete", "attrs (>=19.2)", "hypothesis (>=3.56)", "mock", "pygments (>=2.7.2)", "requests", "setuptools", "xmlschema"]
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[[package]]
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name = "pytest-cov"
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@ -716,4 +716,4 @@ h11 = ">=0.9.0,<1"
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[metadata]
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lock-version = "2.0"
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python-versions = "^3.10"
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content-hash = "a5a13987eab6bb15765c050d6a7aaf3b0d0cf661eedb129d6b811d654880a3cb"
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content-hash = "a40015b90325879e50f82cca6a26a730d763cad26589671df798832d41c42db3"
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@ -9,7 +9,7 @@ package-mode = false
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[tool.poetry.dependencies]
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python = "^3.10"
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pytest = "^7.3.1"
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pytest = "^8.3.3"
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requests = "^2.29.0"
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selenium = "^4.11.2"
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pytest-sugar = "^1.0.0"
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@ -21,65 +21,69 @@ trap 'print_debug' INT TERM ERR
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log starting > ../build.log
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log building and running function_callling demo
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log ===============================
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log ===========================================
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cd ../demos/function_calling
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docker compose up api_server --build -d
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cd -
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print_disk_usage
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# log building model server
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# log =====================
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# cd ../model_server
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# poetry install 2>&1 >> ../build.log
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# print_disk_usage
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# log starting model server
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# log =====================
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# mkdir -p ~/archgw_logs
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# touch ~/archgw_logs/modelserver.log
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# poetry run archgw_modelserver restart &
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# tail -F ~/archgw_logs/modelserver.log &
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# model_server_tail_pid=$!
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# cd -
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log building model server
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log =====================
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cd ../model_server
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poetry install 2>&1 >> ../build.log
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print_disk_usage
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log starting model server
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log =====================
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mkdir -p ~/archgw_logs
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touch ~/archgw_logs/modelserver.log
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poetry run archgw_modelserver restart &
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tail -F ~/archgw_logs/modelserver.log &
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model_server_tail_pid=$!
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poetry install
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cd -
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log building llm and prompt gateway rust modules
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log ============================================
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log building archgw cli
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log ===================
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cd ../arch/tools
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sh build_cli.sh
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cd -
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log building docker image for arch gateway
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log ======================================
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cd ../arch
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print_disk_usage
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docker build -f Dockerfile .. -t katanemo/archgw -q
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print_disk_usage
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log starting the arch gateway service
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log =================================
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docker compose -f docker-compose.e2e.yaml down
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log waiting for model service to be healthy
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wait_for_healthz "http://localhost:51000/healthz" 300
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sh build_filter_image.sh
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cd -
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log startup arch gateway with function calling demo
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cd ..
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touch ~/archgw_logs/modelserver.log
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tail -F ~/archgw_logs/modelserver.log &
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model_server_tail_pid=$!
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archgw down
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archgw up demos/function_calling/arch_config.yaml
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kill $model_server_tail_pid
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docker compose -f docker-compose.e2e.yaml up -d
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log waiting for arch gateway service to be healthy
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wait_for_healthz "http://localhost:10000/healthz" 60
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log waiting for arch gateway service to be healthy
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cd -
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log running e2e tests
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log =================
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poetry install 2>&1 >> ../build.log
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poetry install
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poetry run pytest
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log shutting down the arch gateway service
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log ======================================
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cd ../arch
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docker compose -f docker-compose.e2e.yaml stop 2>&1 >> ../build.log
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cd ../
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archgw down
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cd -
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log shutting down the function_calling demo
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log =======================================
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cd ../demos/function_calling
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docker compose down 2>&1 >> ../build.log
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cd -
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log shutting down the model server
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log ==============================
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cd ../model_server
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poetry run archgw_modelserver stop 2>&1 >> ../build.log
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docker compose down
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cd -
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172
model_server/poetry.lock
generated
172
model_server/poetry.lock
generated
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@ -1465,47 +1465,56 @@ test = ["pytest (>=7.2)", "pytest-cov (>=4.0)"]
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[[package]]
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name = "numpy"
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version = "1.26.4"
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version = "2.0.2"
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description = "Fundamental package for array computing in Python"
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optional = false
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python-versions = ">=3.9"
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files = [
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{file = "numpy-1.26.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:9ff0f4f29c51e2803569d7a51c2304de5554655a60c5d776e35b4a41413830d0"},
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{file = "numpy-1.26.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:2e4ee3380d6de9c9ec04745830fd9e2eccb3e6cf790d39d7b98ffd19b0dd754a"},
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{file = "numpy-1.26.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d209d8969599b27ad20994c8e41936ee0964e6da07478d6c35016bc386b66ad4"},
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{file = "numpy-1.26.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ffa75af20b44f8dba823498024771d5ac50620e6915abac414251bd971b4529f"},
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{file = "numpy-1.26.4-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:62b8e4b1e28009ef2846b4c7852046736bab361f7aeadeb6a5b89ebec3c7055a"},
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{file = "numpy-1.26.4-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:a4abb4f9001ad2858e7ac189089c42178fcce737e4169dc61321660f1a96c7d2"},
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{file = "numpy-1.26.4-cp310-cp310-win32.whl", hash = "sha256:bfe25acf8b437eb2a8b2d49d443800a5f18508cd811fea3181723922a8a82b07"},
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{file = "numpy-1.26.4-cp310-cp310-win_amd64.whl", hash = "sha256:b97fe8060236edf3662adfc2c633f56a08ae30560c56310562cb4f95500022d5"},
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{file = "numpy-1.26.4-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:4c66707fabe114439db9068ee468c26bbdf909cac0fb58686a42a24de1760c71"},
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{file = "numpy-1.26.4-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:edd8b5fe47dab091176d21bb6de568acdd906d1887a4584a15a9a96a1dca06ef"},
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{file = "numpy-1.26.4-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7ab55401287bfec946ced39700c053796e7cc0e3acbef09993a9ad2adba6ca6e"},
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{file = "numpy-1.26.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:666dbfb6ec68962c033a450943ded891bed2d54e6755e35e5835d63f4f6931d5"},
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{file = "numpy-1.26.4-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:96ff0b2ad353d8f990b63294c8986f1ec3cb19d749234014f4e7eb0112ceba5a"},
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{file = "numpy-1.26.4-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:60dedbb91afcbfdc9bc0b1f3f402804070deed7392c23eb7a7f07fa857868e8a"},
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{file = "numpy-1.26.4-cp311-cp311-win32.whl", hash = "sha256:1af303d6b2210eb850fcf03064d364652b7120803a0b872f5211f5234b399f20"},
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{file = "numpy-1.26.4-cp311-cp311-win_amd64.whl", hash = "sha256:cd25bcecc4974d09257ffcd1f098ee778f7834c3ad767fe5db785be9a4aa9cb2"},
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{file = "numpy-1.26.4-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:b3ce300f3644fb06443ee2222c2201dd3a89ea6040541412b8fa189341847218"},
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{file = "numpy-1.26.4-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:03a8c78d01d9781b28a6989f6fa1bb2c4f2d51201cf99d3dd875df6fbd96b23b"},
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{file = "numpy-1.26.4-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9fad7dcb1aac3c7f0584a5a8133e3a43eeb2fe127f47e3632d43d677c66c102b"},
|
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{file = "numpy-1.26.4-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:675d61ffbfa78604709862923189bad94014bef562cc35cf61d3a07bba02a7ed"},
|
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{file = "numpy-1.26.4-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:ab47dbe5cc8210f55aa58e4805fe224dac469cde56b9f731a4c098b91917159a"},
|
||||
{file = "numpy-1.26.4-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:1dda2e7b4ec9dd512f84935c5f126c8bd8b9f2fc001e9f54af255e8c5f16b0e0"},
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||||
{file = "numpy-1.26.4-cp312-cp312-win32.whl", hash = "sha256:50193e430acfc1346175fcbdaa28ffec49947a06918b7b92130744e81e640110"},
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||||
{file = "numpy-1.26.4-cp312-cp312-win_amd64.whl", hash = "sha256:08beddf13648eb95f8d867350f6a018a4be2e5ad54c8d8caed89ebca558b2818"},
|
||||
{file = "numpy-1.26.4-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:7349ab0fa0c429c82442a27a9673fc802ffdb7c7775fad780226cb234965e53c"},
|
||||
{file = "numpy-1.26.4-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:52b8b60467cd7dd1e9ed082188b4e6bb35aa5cdd01777621a1658910745b90be"},
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{file = "numpy-1.26.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d5241e0a80d808d70546c697135da2c613f30e28251ff8307eb72ba696945764"},
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{file = "numpy-1.26.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f870204a840a60da0b12273ef34f7051e98c3b5961b61b0c2c1be6dfd64fbcd3"},
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{file = "numpy-1.26.4-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:679b0076f67ecc0138fd2ede3a8fd196dddc2ad3254069bcb9faf9a79b1cebcd"},
|
||||
{file = "numpy-1.26.4-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:47711010ad8555514b434df65f7d7b076bb8261df1ca9bb78f53d3b2db02e95c"},
|
||||
{file = "numpy-1.26.4-cp39-cp39-win32.whl", hash = "sha256:a354325ee03388678242a4d7ebcd08b5c727033fcff3b2f536aea978e15ee9e6"},
|
||||
{file = "numpy-1.26.4-cp39-cp39-win_amd64.whl", hash = "sha256:3373d5d70a5fe74a2c1bb6d2cfd9609ecf686d47a2d7b1d37a8f3b6bf6003aea"},
|
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|
||||
{file = "tensorflow-2.17.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4ae8e6746deb2ec807b902ba26d62fcffb6a6b53555a1a5906ec00416c5e4175"},
|
||||
{file = "tensorflow-2.17.0-cp39-cp39-win_amd64.whl", hash = "sha256:8f80d11ad3766570deb6ff47d2bed2d166f51399ca08205e38ef024345571d6f"},
|
||||
{file = "tensorflow-2.18.0-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:8da90a9388a1f6dd00d626590d2b5810faffbb3e7367f9783d80efff882340ee"},
|
||||
{file = "tensorflow-2.18.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:589342fb9bdcab2e9af0f946da4ca97757677e297d934fcdc087e87db99d6353"},
|
||||
{file = "tensorflow-2.18.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1eb77fae50d699442726d1b23c7512c97cd688cc7d857b028683d4535bbf3709"},
|
||||
{file = "tensorflow-2.18.0-cp310-cp310-win_amd64.whl", hash = "sha256:46f5a8b4e6273f488dc069fc3ac2211b23acd3d0437d919349c787fa341baa8a"},
|
||||
{file = "tensorflow-2.18.0-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:453cb60638a02fd26316fb36c8cbcf1569d33671f17c658ca0cf2b4626f851e7"},
|
||||
{file = "tensorflow-2.18.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:85f1e7369af6d329b117b52e86093cd1e0458dd5404bf5b665853f873dd00b48"},
|
||||
{file = "tensorflow-2.18.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:70b8dd70fa3600bfce66ab529eebb804e1f9d7c863d2f71bc8fe9fc7a1ec3976"},
|
||||
{file = "tensorflow-2.18.0-cp311-cp311-win_amd64.whl", hash = "sha256:6e8b0f499ef0b7652480a58e358a73844932047f21c42c56f7f3bdcaf0803edc"},
|
||||
{file = "tensorflow-2.18.0-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:ec4133a215c59314e929e7cbe914579d3afbc7874d9fa924873ee633fe4f71d0"},
|
||||
{file = "tensorflow-2.18.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4822904b3559d8a9c25f0fe5fef191cfc1352ceca42ca64f2a7bc7ae0ff4a1f5"},
|
||||
{file = "tensorflow-2.18.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bfdd65ea7e064064283dd78d529dd621257ee617218f63681935fd15817c6286"},
|
||||
{file = "tensorflow-2.18.0-cp312-cp312-win_amd64.whl", hash = "sha256:a701c2d3dca5f2efcab315b2c217f140ebd3da80410744e87d77016b3aaf53cb"},
|
||||
{file = "tensorflow-2.18.0-cp39-cp39-macosx_12_0_arm64.whl", hash = "sha256:336cace378c129c20fee6292f6a541165073d153a9a4c9cf4f14478a81895776"},
|
||||
{file = "tensorflow-2.18.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bcfd32134de8f95515b2d0ced89cdae15484b787d3a21893e9291def06c10c4e"},
|
||||
{file = "tensorflow-2.18.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ada1f7290c75b34748ee7378c1b77927e4044c94b8dc72dc75e7667c4fdaeb94"},
|
||||
{file = "tensorflow-2.18.0-cp39-cp39-win_amd64.whl", hash = "sha256:f8c946df1cb384504578fac1c199a95322373b8e04abd88aa8ae01301df469ea"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
|
|
@ -3302,28 +3311,25 @@ flatbuffers = ">=24.3.25"
|
|||
gast = ">=0.2.1,<0.5.0 || >0.5.0,<0.5.1 || >0.5.1,<0.5.2 || >0.5.2"
|
||||
google-pasta = ">=0.1.1"
|
||||
grpcio = ">=1.24.3,<2.0"
|
||||
h5py = ">=3.10.0"
|
||||
keras = ">=3.2.0"
|
||||
h5py = ">=3.11.0"
|
||||
keras = ">=3.5.0"
|
||||
libclang = ">=13.0.0"
|
||||
ml-dtypes = ">=0.3.1,<0.5.0"
|
||||
numpy = [
|
||||
{version = ">=1.23.5,<2.0.0", markers = "python_version <= \"3.11\""},
|
||||
{version = ">=1.26.0,<2.0.0", markers = "python_version >= \"3.12\""},
|
||||
]
|
||||
ml-dtypes = ">=0.4.0,<0.5.0"
|
||||
numpy = ">=1.26.0,<2.1.0"
|
||||
opt-einsum = ">=2.3.2"
|
||||
packaging = "*"
|
||||
protobuf = ">=3.20.3,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<5.0.0dev"
|
||||
protobuf = ">=3.20.3,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<6.0.0dev"
|
||||
requests = ">=2.21.0,<3"
|
||||
setuptools = "*"
|
||||
six = ">=1.12.0"
|
||||
tensorboard = ">=2.17,<2.18"
|
||||
tensorboard = ">=2.18,<2.19"
|
||||
tensorflow-io-gcs-filesystem = {version = ">=0.23.1", markers = "python_version < \"3.12\""}
|
||||
termcolor = ">=1.1.0"
|
||||
typing-extensions = ">=3.6.6"
|
||||
wrapt = ">=1.11.0"
|
||||
|
||||
[package.extras]
|
||||
and-cuda = ["nvidia-cublas-cu12 (==12.3.4.1)", "nvidia-cuda-cupti-cu12 (==12.3.101)", "nvidia-cuda-nvcc-cu12 (==12.3.107)", "nvidia-cuda-nvrtc-cu12 (==12.3.107)", "nvidia-cuda-runtime-cu12 (==12.3.101)", "nvidia-cudnn-cu12 (==8.9.7.29)", "nvidia-cufft-cu12 (==11.0.12.1)", "nvidia-curand-cu12 (==10.3.4.107)", "nvidia-cusolver-cu12 (==11.5.4.101)", "nvidia-cusparse-cu12 (==12.2.0.103)", "nvidia-nccl-cu12 (==2.19.3)", "nvidia-nvjitlink-cu12 (==12.3.101)"]
|
||||
and-cuda = ["nvidia-cublas-cu12 (==12.5.3.2)", "nvidia-cuda-cupti-cu12 (==12.5.82)", "nvidia-cuda-nvcc-cu12 (==12.5.82)", "nvidia-cuda-nvrtc-cu12 (==12.5.82)", "nvidia-cuda-runtime-cu12 (==12.5.82)", "nvidia-cudnn-cu12 (==9.3.0.75)", "nvidia-cufft-cu12 (==11.2.3.61)", "nvidia-curand-cu12 (==10.3.6.82)", "nvidia-cusolver-cu12 (==11.6.3.83)", "nvidia-cusparse-cu12 (==12.5.1.3)", "nvidia-nccl-cu12 (==2.21.5)", "nvidia-nvjitlink-cu12 (==12.5.82)"]
|
||||
|
||||
[[package]]
|
||||
name = "tensorflow-io-gcs-filesystem"
|
||||
|
|
@ -3373,17 +3379,17 @@ tests = ["pytest", "pytest-cov"]
|
|||
|
||||
[[package]]
|
||||
name = "tf-keras"
|
||||
version = "2.17.0"
|
||||
version = "2.18.0"
|
||||
description = "Deep learning for humans."
|
||||
optional = false
|
||||
python-versions = ">=3.9"
|
||||
files = [
|
||||
{file = "tf_keras-2.17.0-py3-none-any.whl", hash = "sha256:cc97717e4dc08487f327b0740a984043a9e0123c7a4e21206711669d3ec41c88"},
|
||||
{file = "tf_keras-2.17.0.tar.gz", hash = "sha256:fda97c18da30da0f72a5a7e80f3eee343b09f4c206dad6c57c944fb2cd18560e"},
|
||||
{file = "tf_keras-2.18.0-py3-none-any.whl", hash = "sha256:c431d04027eef790fcd3261cf7fdf93eb74f3cb32e05078b57b7f5a54bd53262"},
|
||||
{file = "tf_keras-2.18.0.tar.gz", hash = "sha256:ebf744519b322afead33086a2aba872245473294affd40973694f3eb7c7ad77d"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
tensorflow = ">=2.17,<2.18"
|
||||
tensorflow = ">=2.18,<2.19"
|
||||
|
||||
[[package]]
|
||||
name = "threadpoolctl"
|
||||
|
|
@ -4105,4 +4111,4 @@ propcache = ">=0.2.0"
|
|||
[metadata]
|
||||
lock-version = "2.0"
|
||||
python-versions = ">=3.10"
|
||||
content-hash = "80f659b2f6a1ce80b4a22b1cefc73ea54c47b61398e2b7e66fc474a2118a3a5f"
|
||||
content-hash = "8f788f33f9f202a92e381e564162db7405adebdafb73568d8fdbf874af042ef8"
|
||||
|
|
|
|||
|
|
@ -32,7 +32,6 @@ onnxruntime = "1.19.2"
|
|||
httpx = "*"
|
||||
pytest-asyncio = "*"
|
||||
pytest = "*"
|
||||
tensorflow = "2.17"
|
||||
|
||||
[tool.poetry.scripts]
|
||||
archgw_modelserver = "app.cli:run_server"
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue