Add cuda-nvdisasm, cuda-nvprof, cuda-nvvp recipes

recipes/cuda-nvdisasm/conda_build_config.yaml

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+arm_variant_type: # [aarch64]
+  - sbsa          # [aarch64]

recipes/cuda-nvdisasm/meta.yaml

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+{% set name = "cuda-nvdisasm" %}
+{% set version = "12.0.76" %}
+{% set cuda_version = "12.0" %}
+{% set platform = "linux-x86_64" %}  # [linux64]
+{% set platform = "linux-ppc64le" %}  # [ppc64le]
+{% set platform = "linux-sbsa" %}  # [aarch64]
+{% set platform = "windows-x86_64" %}  # [win]
+{% set extension = "tar.xz" %}  # [not win]
+{% set extension = "zip" %}  # [win]
+
+package:
+  name: {{ name|lower }}
+  version: {{ version }}
+
+source:
+  url: https://developer.download.nvidia.com/compute/cuda/redist/cuda_nvdisasm/{{ platform }}/cuda_nvdisasm-{{ platform }}-{{ version }}-archive.{{ extension }}
+  sha256: 0e0660100b052248529ee07353479a7d703258ef3200ac52e9676298511d10c3  # [linux64]
+  sha256: aca86a9b2b7678884aa58e7a29881044e6d12dbf790b46266f08f6855a10ac79  # [ppc64le]
+  sha256: 4991a102fd8d7d3aa632cf5a28df6368f4074a4ced952e7665c382c6dbdec1fd  # [aarch64]
+  sha256: 7d716f14dc1342d62c9c67d4636cc1dbd496d7648b6097a53d05e1d6864a487c  # [win]
+
+build:
+  number: 0
+  skip: true  # [osx]
+  script:
+    - cp -rv bin $PREFIX        # [linux]
+    - move bin\* %LIBRARY_BIN%  # [win]
+
+requirements:
+  build:
+    - {{ compiler("c") }}
+    - {{ compiler("cxx") }}
+    - arm-variant * {{ arm_variant_type }}  # [aarch64]
+  host:
+    - cuda-version {{ cuda_version }}
+  run:
+    - {{ pin_compatible("cuda-version", max_pin="x.x") }}
+  run_constrained:
+    - arm-variant * {{ arm_variant_type }}  # [aarch64]
+
+test:
+  commands:
+    - test -f $PREFIX/bin/nvdisasm                    # [linux]
+    - if not exist %LIBRARY_BIN%\nvdisasm.exe exit 1  # [win]
+
+about:
+  home: https://developer.nvidia.com/cuda-toolkit
+  license_file: LICENSE
+  license: LicenseRef-NVIDIA-End-User-License-Agreement
+  license_url: https://docs.nvidia.com/cuda/eula/index.html
+  summary: nvdisasm extracts information from standalone cubin files
+  description: |
+    nvdisasm extracts information from standalone cubin files and presents them in
+    human readable format.
+  doc_url: https://docs.nvidia.com/cuda/cuda-binary-utilities/
+
+extra:
+  recipe-maintainers:
+    - adibbley

recipes/cuda-nvprof/bld.bat

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+if not exist %PREFIX% mkdir %PREFIX%
+
+move bin\* %LIBRARY_BIN%

recipes/cuda-nvprof/build.sh

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+#!/bin/bash
+
+# Install to conda style directories
+[[ -d lib64 ]] && mv lib64 lib
+mkdir -p ${PREFIX}/lib
+[[ -d pkg-config ]] && mv pkg-config ${PREFIX}/lib/pkgconfig
+[[ -d "$PREFIX/lib/pkgconfig" ]] && sed -E -i "s|cudaroot=.+|cudaroot=$PREFIX|g" $PREFIX/lib/pkgconfig/cuinj64*.pc
+[[ -d "$PREFIX/lib/pkgconfig" ]] && sed -E -i "s|cudaroot=.+|cudaroot=$PREFIX|g" $PREFIX/lib/pkgconfig/accinj64*.pc
+
+[[ ${target_platform} == "linux-64" ]] && targetsDir="targets/x86_64-linux"
+[[ ${target_platform} == "linux-ppc64le" ]] && targetsDir="targets/ppc64le-linux"
+[[ ${target_platform} == "linux-aarch64" ]] && targetsDir="targets/sbsa-linux"
+
+for i in `ls`; do
+    [[ $i == "build_env_setup.sh" ]] && continue
+    [[ $i == "conda_build.sh" ]] && continue
+    [[ $i == "metadata_conda_debug.yaml" ]] && continue
+    if [[ $i == "lib" ]] || [[ $i == "include" ]]; then
+        # Headers and libraries are installed to targetsDir
+        mkdir -p ${PREFIX}/${targetsDir}
+        mkdir -p ${PREFIX}/$i
+        cp -rv $i ${PREFIX}/${targetsDir}
+        if [[ $i == "lib" ]]; then
+            for j in "$i"/*.so*; do
+                # Shared libraries are symlinked in $PREFIX/lib
+                ln -s ${PREFIX}/${targetsDir}/$j ${PREFIX}/$j
+            done
+        fi
+    else
+        # Leaving bin in PREFIX
+        mkdir -p ${PREFIX}
+        cp -rv $i ${PREFIX}
+    fi
+done

recipes/cuda-nvprof/meta.yaml

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+{% set name = "cuda-nvprof" %}
+{% set version = "12.0.90" %}
+{% set cuda_version = "12.0" %}
+{% set platform = "linux-x86_64" %}  # [linux64]
+{% set platform = "linux-ppc64le" %}  # [ppc64le]
+{% set platform = "windows-x86_64" %}  # [win]
+{% set target_name = "x86_64-linux" %}  # [linux64]
+{% set target_name = "ppc64le-linux" %}  # [ppc64le]
+{% set target_name = "sbsa-linux" %}  # [aarch64]
+{% set extension = "tar.xz" %}  # [not win]
+{% set extension = "zip" %}  # [win]
+
+package:
+  name: {{ name|lower }}
+  version: {{ version }}
+
+source:
+  url: https://developer.download.nvidia.com/compute/cuda/redist/cuda_nvprof/{{ platform }}/cuda_nvprof-{{ platform }}-{{ version }}-archive.{{ extension }}
+  sha256: e3313459ff03f17836fc43e53fa7bc1d3ba4079e6089c48ac9d91009c762f196  # [linux64]
+  sha256: b1067e82bbf4ce592fd94c8b654d91a72e5b70c2ec407348ce7f7cf462acd6a4  # [ppc64le]
+  sha256: d509046b6670105bc11a6a31e412a07c7ceb2f76f5248d1d5699be1544dc6221  # [win]
+
+build:
+  number: 0
+  skip: true  # [osx or aarch64]
+  missing_dso_whitelist:
+    # This is a driver file, might be able to use cuda-compat to remove this
+    - '*/libcuda.so.1'  # [linux]
+    - '*/nvcuda.dll'    # [win]
+
+requirements:
+  build:
+    - {{ compiler("c") }}
+    - {{ compiler("cxx") }}
+  host:
+    - cuda-version {{ cuda_version }}
+    - cuda-cupti
+  run:
+    - {{ pin_compatible("cuda-version", max_pin="x.x") }}
+    - cuda-cupti
+
+test:
+  commands:
+    - test -f $PREFIX/bin/nvprof                                                                                            # [linux]
+    - test -f $PREFIX/lib/pkgconfig/cuinj64*.pc                                                                             # [linux]
+    - test -f $PREFIX/lib/pkgconfig/accinj64*.pc                                                                            # [linux]
+    - test -L $PREFIX/lib/libaccinj64.so                                                                                    # [linux]
+    - test -L $PREFIX/lib/libaccinj64.so.{{ version.split(".")[0] }}.{{ version.split(".")[1] }}                            # [linux]
+    - test -L $PREFIX/lib/libaccinj64.so.{{ version }}                                                                      # [linux]
+    - test -L $PREFIX/lib/libcuinj64.so                                                                                     # [linux]
+    - test -L $PREFIX/lib/libcuinj64.so.{{ version.split(".")[0] }}.{{ version.split(".")[1] }}                             # [linux]
+    - test -L $PREFIX/lib/libcuinj64.so.{{ version }}                                                                       # [linux]
+    - test -L $PREFIX/targets/{{ target_name }}/lib/libaccinj64.so                                                          # [linux]
+    - test -L $PREFIX/targets/{{ target_name }}/lib/libaccinj64.so.{{ version.split(".")[0] }}.{{ version.split(".")[1] }}  # [linux]
+    - test -f $PREFIX/targets/{{ target_name }}/lib/libaccinj64.so.{{ version }}                                            # [linux]
+    - test -L $PREFIX/targets/{{ target_name }}/lib/libcuinj64.so                                                           # [linux]
+    - test -L $PREFIX/targets/{{ target_name }}/lib/libcuinj64.so.{{ version.split(".")[0] }}.{{ version.split(".")[1] }}   # [linux]
+    - test -f $PREFIX/targets/{{ target_name }}/lib/libcuinj64.so.{{ version }}                                             # [linux]
+    - if not exist %LIBRARY_BIN%\nvprof.exe exit 1     # [win]
+    - if not exist %LIBRARY_BIN%\cuinj64_*.dll exit 1  # [win]
+
+about:
+  home: https://developer.nvidia.com/cuda-toolkit
+  license_file: LICENSE
+  license: LicenseRef-NVIDIA-End-User-License-Agreement
+  license_url: https://docs.nvidia.com/cuda/eula/index.html
+  summary: Tool for collecting and viewing CUDA application profiling data
+  description: |
+    Tool for collecting and viewing CUDA application profiling data from
+    the command-line.
+  doc_url: https://docs.nvidia.com/cuda/index.html
+
+extra:
+  recipe-maintainers:
+    - adibbley

recipes/cuda-nvvp/bld.bat

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+if not exist %PREFIX% mkdir %PREFIX%
+
+move bin\* %LIBRARY_BIN%
+move libnvvp %PREFIX%
+

recipes/cuda-nvvp/build.sh

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+#!/bin/bash
+
+# Install to conda style directories
+[[ -d lib64 ]] && mv lib64 lib
+
+for i in `ls`; do
+    [[ $i == "build_env_setup.sh" ]] && continue
+    [[ $i == "conda_build.sh" ]] && continue
+    [[ $i == "metadata_conda_debug.yaml" ]] && continue
+    cp -r $i ${PREFIX}
+done

recipes/cuda-nvvp/meta.yaml

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+{% set name = "cuda-nvvp" %}
+{% set version = "12.0.90" %}
+{% set cuda_version = "12.0" %}
+{% set platform = "linux-x86_64" %}  # [linux64]
+{% set platform = "linux-ppc64le" %}  # [ppc64le]
+{% set platform = "windows-x86_64" %}  # [win]
+{% set extension = "tar.xz" %}  # [not win]
+{% set extension = "zip" %}  # [win]
+
+package:
+  name: {{ name|lower }}
+  version: {{ version }}
+
+source:
+  url: https://developer.download.nvidia.com/compute/cuda/redist/cuda_nvvp/{{ platform }}/cuda_nvvp-{{ platform }}-{{ version }}-archive.{{ extension }}
+  sha256: 3139235d52d0a41c56cb5caead9481154895754205b7ded7f96137fae3a9e9b1  # [linux64]
+  sha256: 48928f3b3103c2fe47e557b4bd9966049b637c563af7a171358700cecf84d609  # [ppc64le]
+  sha256: edc4302461ba6f9b716e146d6bb5f10f7dc776ae1268bfd383cfd74ee94fdf19  # [win]
+
+build:
+  number: 0
+  skip: true  # [osx or aarch64]
+
+requirements:
+  build:
+    - {{ compiler("c") }}
+    - {{ compiler("cxx") }}
+  host:
+    - cuda-version {{ cuda_version }}
+  run:
+    - {{ pin_compatible("cuda-version", max_pin="x.x") }}
+    - cuda-nvdisasm
+    - cuda-nvprof
+
+test:
+  commands:
+    - test -f $PREFIX/bin/nvvp      # [linux]
+    - test -f $PREFIX/libnvvp/nvvp  # [linux]
+    - if not exist %LIBRARY_BIN%\nvvp.bat exit 1     # [win]
+    - if not exist %PREFIX%\libnvvp\nvvp.exe exit 1  # [win]
+
+about:
+  home: https://developer.nvidia.com/nvidia-visual-profiler
+  license_file: LICENSE
+  license: LicenseRef-NVIDIA-End-User-License-Agreement
+  license_url: https://docs.nvidia.com/cuda/eula/index.html
+  summary: NVIDIA Visual Profiler to visualize and optimize the performance of your application.
+  description: |
+    NVIDIA Visual Profiler to visualize and optimize the performance of your
+    application.
+  doc_url: https://docs.nvidia.com/cuda/profiler-users-guide/index.html
+
+extra:
+  recipe-maintainers:
+    - adibbley