brucefan1983-cuda-programming
SUCCESS
6m 03s
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SummaryIterations1Transcript7Dockerfile
01Iteration 1
WRITEWriteFile· step #1
0s
Dockerfile856 bytes written
text32 lines · 856 chars
FROM nvidia/cuda:11.8.0-devel-ubuntu22.04

# Use the NVIDIA CUDA development image to have nvcc available
ENV LANG=C.UTF-8

# Install build tools
RUN apt-get update \
    && apt-get install -y --no-install-recommends \
        build-essential \
        ca-certificates \
        g++ \
        make \
    && rm -rf /var/lib/apt/lists/*

# Set working directory to the repository root inside the container
WORKDIR /workspace

# Copy the repository into the image
COPY . /workspace

# Build the CUDA samples / targets present in the repository
RUN set -eux; \
    for d in src/13-md/whole-code src/13-md/force-only src/13-md/cpp; do \
        if [ -d "$d" ]; then \
            echo "Building in $d"; \
            (cd "$d" && make) || true; \
        fi; \
    done

# Default to an interactive shell, so users can run programs with --gpus
CMD ["/bin/bash"]
WRITEWriteFile· step #2
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.dockerignore87 bytes written
dockerignore11 lines · 87 chars
**/.git
**/.git/**
**/node_modules
**/vendor
*.log
*.aux
*.out
*.cache
*.tmp
.DS_Store
VERIFYVerifyBuild· step #3
1m 39s
VerifyBuildsmoke_failed
Concerns: The build step uses '|| true' after make, which masks build failures and could lead to an image where no artifacts were actually built even though the image builds successfully., While using a CUDA development image provides nvcc, the Dockerfile is quite heavy for a CLI tool and may be larger than necessary for users who don't need CUDA hooks at runtime.
Smoke [PASS]: nvcc --version
Smoke [FAIL]: bash -lc 'test -d /workspace/src/13-md/cpp && ls -la /workspace/src/13-md/cpp | head -n 5
  Output: sh: 1: Syntax error: Unterminated quoted string

Smoke [FAIL]: bash -lc 'FOUND=0; for f in /workspace/src/13-md/cpp/* /workspace/src/13-md/whole-code/* /workspace/src/13-md/force-only/*; do if [ -f "$f" ] && [ -x "$f" ]; then echo "Executable: $f"; FOUND=1; break; fi; done; if [ "$FOUND" -eq 0 ]; then echo "No executables found"; exit 1; fi
  Output: sh: 1: Syntax error: Unterminated quoted string
WRITEWriteFile· step #4
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Dockerfile848 bytes written
text32 lines · 848 chars
FROM nvidia/cuda:11.8.0-devel-ubuntu22.04

# Use the NVIDIA CUDA development image to have nvcc available
ENV LANG=C.UTF-8

# Install build tools
RUN apt-get update \
    && apt-get install -y --no-install-recommends \
        build-essential \
        ca-certificates \
        g++ \
        make \
    && rm -rf /var/lib/apt/lists/*

# Set working directory to the repository root inside the container
WORKDIR /workspace

# Copy the repository into the image
COPY . /workspace

# Build the CUDA samples / targets present in the repository
RUN set -eux; \
    for d in src/13-md/whole-code src/13-md/force-only src/13-md/cpp; do \
        if [ -d "$d" ]; then \
            echo "Building in $d"; \
            (cd "$d" && make); \
        fi; \
    done

# Default to an interactive shell, so users can run programs with --gpus
CMD ["/bin/bash"]
VERIFYVerifyBuild· step #5
1m 29s
VerifyBuildsmoke_failed
Concerns: The build step calls make in three directories; if any of those directories exist but lack a Makefile, the build may fail (due to set -e)., No explicit installation of built binaries to PATH; smoke tests must locate executables within the source tree (build outputs) rather than in standard system paths., Copying the entire repository into the image could bloat the image; consider using a .dockerignore or multi-stage builds to limit what’s copied.
Smoke [FAIL]: bash -lc 'set -e; for d in src/13-md/whole-code src/13-md/force-only src/13-md/cpp; do if [ -d "$d" ]; then echo "Contents of $d:"; ls -la "$d"; fi; done
  Output: sh: 1: Syntax error: Unterminated quoted string
WRITEWriteFile· step #6
0s
Dockerfile846 bytes written
text32 lines · 846 chars
FROM nvidia/cuda:11.8.0-devel-ubuntu22.04

# Use the NVIDIA CUDA development image to have nvcc available
ENV LANG=C.UTF-8

# Install build tools
RUN apt-get update \
    && apt-get install -y --no-install-recommends \
        build-essential \
        ca-certificates \
        g++ \
        make \
    && rm -rf /var/lib/apt/lists/*

# Set working directory to the repository root inside the container
WORKDIR /workspace

# Copy the repository into the image
COPY . /workspace

# Build the CUDA samples / targets present in the repository
RUN set -e; \
    for d in src/13-md/whole-code src/13-md/force-only src/13-md/cpp; do \
        if [ -d "$d" ]; then \
            echo "Building in $d"; \
            (cd "$d" && make); \
        fi; \
    done

# Default to an interactive shell, so users can run programs with --gpus
CMD ["/bin/bash"]
VERIFYVerifyBuild· step #7
1m 09s
VerifyBuildaccepted
Concerns: Uses a CUDA development image; if the CLI tool does not require GPU/CUDA, the image is larger than necessary, Build relies on Makefiles in specific subdirectories; if those dirs are absent or Makefiles have extra deps, the image build could fail, No explicit run/test of a built binary is included; the CMD stays as an interactive shell by default
Smoke [PASS]: nvcc --version
Smoke [PASS]: if [ -x /usr/local/cuda/bin/nvcc ]; then echo 'nvcc present'; else echo 'nvcc missing'; fi
Smoke [PASS]: find /workspace -type f -perm -111 2>/dev/null | head -n 5