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Merge pull request #787 from rapidsai/branch-24.10
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Forward-merge branch-24.10 into branch-24.12
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GPUtester authored Oct 2, 2024
2 parents f5adfe6 + 289e340 commit ad2eeaf
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2 changes: 1 addition & 1 deletion CONTRIBUTING.md
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Expand Up @@ -123,7 +123,7 @@ cd $CUCIM_HOME

Conda can be used to setup an environment which includes all of the necessary dependencies (as shown in `./conda/environments/all_cuda-118_arch-x86_64.yaml`) for building cuCIM.

Otherwise, you may need to install dependencies (such as zlib, xz, yasm) through your OS's package manager (`apt`, `yum`, and so on).
Otherwise, you may need to install dependencies (such as yasm) through your OS's package manager (`apt`, `yum`, and so on).


### Creating the Conda Development Environment `cucim`
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5 changes: 0 additions & 5 deletions conda/environments/all_cuda-118_arch-x86_64.yaml
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Expand Up @@ -16,13 +16,11 @@ dependencies:
- gcc_linux-64=11.*
- imagecodecs>=2021.6.8
- ipython
- jbig
- lazy_loader>=0.1
- libcufile-dev=1.4.0.31
- libcufile=1.4.0.31
- libnvjpeg-dev=11.6.0.55
- libnvjpeg=11.6.0.55
- libwebp-base
- matplotlib-base
- nbsphinx
- ninja
Expand All @@ -47,10 +45,7 @@ dependencies:
- sphinx<6
- sysroot_linux-64==2.17
- tifffile>=2022.7.28
- xz
- yasm
- zlib
- zstd
- pip:
- opencv-python-headless>=4.6
name: all_cuda-118_arch-x86_64
5 changes: 0 additions & 5 deletions conda/environments/all_cuda-125_arch-x86_64.yaml
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Expand Up @@ -17,12 +17,10 @@ dependencies:
- gcc_linux-64=11.*
- imagecodecs>=2021.6.8
- ipython
- jbig
- lazy_loader>=0.1
- libcufile-dev
- libnvjpeg-dev
- libnvjpeg-static
- libwebp-base
- matplotlib-base
- nbsphinx
- ninja
Expand All @@ -46,10 +44,7 @@ dependencies:
- sphinx<6
- sysroot_linux-64==2.17
- tifffile>=2022.7.28
- xz
- yasm
- zlib
- zstd
- pip:
- opencv-python-headless>=4.6
name: all_cuda-125_arch-x86_64
11 changes: 0 additions & 11 deletions conda/recipes/libcucim/meta.yaml
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Expand Up @@ -17,7 +17,6 @@ build:
number: {{ GIT_DESCRIBE_NUMBER }}
string: cuda{{ cuda_major }}_{{ date_string }}_{{ GIT_DESCRIBE_HASH }}_{{ GIT_DESCRIBE_NUMBER }}
ignore_run_exports:
- libwebp-base
- openslide
ignore_run_exports_from:
{% if cuda_major == "11" %}
Expand Down Expand Up @@ -74,13 +73,8 @@ requirements:
- libnvjpeg-dev
- libnvjpeg-static
{% endif %}
- jbig
- libwebp-base
- nvtx-c >=3.1.0
- openslide
- xz
- zlib
- zstd
run:
- {{ pin_compatible('cuda-version', max_pin='x', min_pin='x') }}
{% if cuda_major == "11" %}
Expand All @@ -91,11 +85,6 @@ requirements:
- libcufile # [linux64]
- libnvjpeg
{% endif %}
- {{ pin_compatible('libwebp-base', max_pin='x.x') }}
- jbig
- xz
- zlib
- zstd
run_constrained:
- {{ pin_compatible('openslide') }}

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11 changes: 11 additions & 0 deletions cpp/plugins/cucim.kit.cuslide/cmake/deps/libtiff.cmake
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Expand Up @@ -53,6 +53,17 @@ if (NOT TARGET deps::libtiff)
set(JPEG_LIBRARIES deps::libjpeg-turbo)
# for jpeglib.h and jconfig.h/jconfigint.h
set(TIFF_INCLUDES ${deps-libjpeg-turbo_SOURCE_DIR} ${deps-libjpeg-turbo_BINARY_DIR} )

# Explicitly disable external codecs
set(zlib OFF)
set(pixarlog OFF)
set(lzma OFF)
set(old-jpeg OFF)
set(jpeg12 OFF)
set(zstd OFF)
set(jbig OFF)
set(webp OFF)

add_subdirectory(${deps-libtiff_SOURCE_DIR} ${deps-libtiff_BINARY_DIR} EXCLUDE_FROM_ALL)

# Disable visibility to not expose unnecessary symbols
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11 changes: 0 additions & 11 deletions dependencies.yaml
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Expand Up @@ -265,17 +265,6 @@ dependencies:
- output_types: conda
packages:
- cupy>=12.0.0
# All dependencies below this point are specific to `cucim.clara` and
# are not needed for either `cucim.core` or `cucim.skimage`. I did
# not include these under a "pyproject" output so that it is still
# possible to run `pip install .` from the python/cucim folder
# without having build the C++ library at all. This allows, usage of
# usage of `cucim.skimage` on Windows, for example.
- jbig
- libwebp-base
- xz
- zlib
- zstd
# Not sure where these go, if anywhere:
# - openslide
# - xorg-libxcb
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