Fixing the dockerfile warnings. (#2173)

Dockerfile

@@ -4,7 +4,7 @@ WORKDIR /usr/src
 
 ARG CARGO_REGISTRIES_CRATES_IO_PROTOCOL=sparse
 
-FROM chef as planner
+FROM chef AS planner
 COPY Cargo.lock Cargo.lock
 COPY Cargo.toml Cargo.toml
 COPY rust-toolchain.toml rust-toolchain.toml
@@ -38,7 +38,7 @@ RUN cargo build --profile release-opt
 
 # Python builder
 # Adapted from: https://github.com/pytorch/pytorch/blob/master/Dockerfile
-FROM nvidia/cuda:12.1.0-devel-ubuntu22.04 as pytorch-install
+FROM nvidia/cuda:12.1.0-devel-ubuntu22.04 AS pytorch-install
 
 ARG PYTORCH_VERSION=2.3.0
 ARG PYTHON_VERSION=3.10
@@ -81,7 +81,7 @@ RUN case ${TARGETPLATFORM} in \
     /opt/conda/bin/conda clean -ya
 
 # CUDA kernels builder image
-FROM pytorch-install as kernel-builder
+FROM pytorch-install AS kernel-builder
 
 ARG MAX_JOBS=8
 
@@ -90,7 +90,7 @@ RUN apt-get update && DEBIAN_FRONTEND=noninteractive apt-get install -y --no-ins
         && rm -rf /var/lib/apt/lists/*
 
 # Build Flash Attention CUDA kernels
-FROM kernel-builder as flash-att-builder
+FROM kernel-builder AS flash-att-builder
 
 WORKDIR /usr/src
 
@@ -100,7 +100,7 @@ COPY server/Makefile-flash-att Makefile
 RUN make build-flash-attention
 
 # Build Flash Attention v2 CUDA kernels
-FROM kernel-builder as flash-att-v2-builder
+FROM kernel-builder AS flash-att-v2-builder
 
 WORKDIR /usr/src
 
@@ -110,14 +110,14 @@ COPY server/Makefile-flash-att-v2 Makefile
 RUN make build-flash-attention-v2-cuda
 
 # Build Transformers exllama kernels
-FROM kernel-builder as exllama-kernels-builder
+FROM kernel-builder AS exllama-kernels-builder
 WORKDIR /usr/src
 COPY server/exllama_kernels/ .
 
 RUN TORCH_CUDA_ARCH_LIST="8.0;8.6+PTX" python setup.py build
 
 # Build Transformers exllama kernels
-FROM kernel-builder as exllamav2-kernels-builder
+FROM kernel-builder AS exllamav2-kernels-builder
 WORKDIR /usr/src
 COPY server/exllamav2_kernels/ .
 
@@ -125,42 +125,42 @@ COPY server/exllamav2_kernels/ .
 RUN TORCH_CUDA_ARCH_LIST="8.0;8.6+PTX" python setup.py build
 
 # Build Transformers awq kernels
-FROM kernel-builder as awq-kernels-builder
+FROM kernel-builder AS awq-kernels-builder
 WORKDIR /usr/src
 COPY server/Makefile-awq Makefile
 # Build specific version of transformers
 RUN TORCH_CUDA_ARCH_LIST="8.0;8.6+PTX" make build-awq
 
 # Build eetq kernels
-FROM kernel-builder as eetq-kernels-builder
+FROM kernel-builder AS eetq-kernels-builder
 WORKDIR /usr/src
 COPY server/Makefile-eetq Makefile
 # Build specific version of transformers
 RUN TORCH_CUDA_ARCH_LIST="8.0;8.6+PTX" make build-eetq
 
 # Build marlin kernels
-FROM kernel-builder as marlin-kernels-builder
+FROM kernel-builder AS marlin-kernels-builder
 WORKDIR /usr/src
 COPY server/marlin/ .
 # Build specific version of transformers
 RUN TORCH_CUDA_ARCH_LIST="8.0;8.6+PTX" python setup.py build
 
 # Build Lorax Punica kernels
-FROM kernel-builder as lorax-punica-builder
+FROM kernel-builder AS lorax-punica-builder
 WORKDIR /usr/src
 COPY server/Makefile-lorax-punica Makefile
 # Build specific version of transformers
 RUN TORCH_CUDA_ARCH_LIST="8.0;8.6+PTX" make build-lorax-punica
 
 # Build Transformers CUDA kernels
-FROM kernel-builder as custom-kernels-builder
+FROM kernel-builder AS custom-kernels-builder
 WORKDIR /usr/src
 COPY server/custom_kernels/ .
 # Build specific version of transformers
 RUN python setup.py build
 
 # Build vllm CUDA kernels
-FROM kernel-builder as vllm-builder
+FROM kernel-builder AS vllm-builder
 
 WORKDIR /usr/src
 
@@ -172,13 +172,13 @@ COPY server/Makefile-vllm Makefile
 RUN make build-vllm-cuda
 
 # Build mamba kernels
-FROM kernel-builder as mamba-builder
+FROM kernel-builder AS mamba-builder
 WORKDIR /usr/src
 COPY server/Makefile-selective-scan Makefile
 RUN make build-all
 
 # Text Generation Inference base image
-FROM nvidia/cuda:12.1.0-base-ubuntu22.04 as base
+FROM nvidia/cuda:12.1.0-base-ubuntu22.04 AS base
 
 # Conda env
 ENV PATH=/opt/conda/bin:$PATH \
@@ -260,7 +260,7 @@ COPY --from=builder /usr/src/target/release-opt/text-generation-launcher /usr/lo
 
 
 # AWS Sagemaker compatible image
-FROM base as sagemaker
+FROM base AS sagemaker
 
 COPY sagemaker-entrypoint.sh entrypoint.sh
 RUN chmod +x entrypoint.sh

Dockerfile_amd

@@ -4,7 +4,7 @@ WORKDIR /usr/src
 
 ARG CARGO_REGISTRIES_CRATES_IO_PROTOCOL=sparse
 
-FROM chef as planner
+FROM chef AS planner
 COPY Cargo.lock Cargo.lock
 COPY Cargo.toml Cargo.toml
 COPY rust-toolchain.toml rust-toolchain.toml
@@ -37,7 +37,7 @@ COPY launcher launcher
 RUN cargo build --profile release-opt
 
 # Text Generation Inference base image for RoCm
-FROM rocm/dev-ubuntu-22.04:6.1.1_hip_update as base
+FROM rocm/dev-ubuntu-22.04:6.1.1_hip_update AS base
 
 RUN apt-get update && DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends \
     build-essential \
@@ -115,7 +115,7 @@ ARG BUILD_CAFFE2="0" \
 
 RUN cd pytorch && python tools/amd_build/build_amd.py && python setup.py install
 
-# Set as recommended: https://github.com/ROCm/triton/wiki/A-script-to-set-program-execution-environment-in-ROCm
+# Set AS recommended: https://github.com/ROCm/triton/wiki/A-script-to-set-program-execution-environment-in-ROCm
 ENV HIP_FORCE_DEV_KERNARG=1
 
 # On MI250 and MI300, performances for flash with Triton FA are slightly better than CK.
@@ -143,26 +143,26 @@ COPY server/Makefile-flash-att-v2 Makefile
 RUN make build-flash-attention-v2-rocm
 
 # Build Transformers CUDA kernels (gpt-neox and bloom)
-FROM kernel-builder as custom-kernels-builder
+FROM kernel-builder AS custom-kernels-builder
 WORKDIR /usr/src
 COPY server/custom_kernels/ .
 RUN python setup.py build
 
 # Build exllama kernels
-FROM kernel-builder as exllama-kernels-builder
+FROM kernel-builder AS exllama-kernels-builder
 WORKDIR /usr/src
 COPY server/exllama_kernels/ .
 
 RUN python setup.py build
 
 # Build exllama v2 kernels
-FROM kernel-builder as exllamav2-kernels-builder
+FROM kernel-builder AS exllamav2-kernels-builder
 WORKDIR /usr/src
 COPY server/exllamav2_kernels/ .
 
 RUN python setup.py build
 
-FROM base as base-copy
+FROM base AS base-copy
 
 # Text Generation Inference base env
 ENV HUGGINGFACE_HUB_CACHE=/data \
@@ -201,7 +201,7 @@ COPY --from=builder /usr/src/target/release-opt/text-generation-router /usr/loca
 COPY --from=builder /usr/src/target/release-opt/text-generation-launcher /usr/local/bin/text-generation-launcher
 
 # AWS Sagemaker compatible image
-FROM base as sagemaker
+FROM base AS sagemaker
 
 COPY sagemaker-entrypoint.sh entrypoint.sh
 RUN chmod +x entrypoint.sh

Dockerfile_intel

@@ -5,7 +5,7 @@ WORKDIR /usr/src
 
 ARG CARGO_REGISTRIES_CRATES_IO_PROTOCOL=sparse
 
-FROM chef as planner
+FROM chef AS planner
 COPY Cargo.lock Cargo.lock
 COPY Cargo.toml Cargo.toml
 COPY rust-toolchain.toml rust-toolchain.toml
@@ -40,7 +40,7 @@ RUN cargo build --profile release-opt
 
 # Text Generation Inference base image for Intel
 
-FROM intel/intel-extension-for-pytorch:2.1.30-xpu as xpu
+FROM intel/intel-extension-for-pytorch:2.1.30-xpu AS xpu
 
 USER root
 # libssl.so.1.1 is not installed on Ubuntu 22.04 by default, install it
@@ -95,7 +95,7 @@ COPY --from=builder /usr/src/target/release-opt/text-generation-launcher /usr/lo
 
 
 # Text Generation Inference base image for Intel-cpu
-FROM ubuntu:22.04 as cpu
+FROM ubuntu:22.04 AS cpu
 
 RUN apt-get update && DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends \
     curl \
@@ -172,6 +172,6 @@ COPY --from=builder /usr/src/target/release-opt/text-generation-router /usr/loca
 # Install launcher
 COPY --from=builder /usr/src/target/release-opt/text-generation-launcher /usr/local/bin/text-generation-launcher
 
-FROM ${PLATFORM} as final
+FROM ${PLATFORM} AS final
 ENTRYPOINT ["text-generation-launcher"]
 CMD ["--json-output"]