Update cuml (#41)

* Update cuml * Update Dockerfile * Update Dockerfile * Update devcontainer.json * update sample dockerfile * Bump dependencies in /testdata Update xgboost, scikit-learn, treelite, and tl2cgen dependencies in /testdata to their latest versions. * Fix assertion decimal in testdata/main.py * Bump numpy dependency to version <2.0.0 --------- Co-authored-by: ynakazat <[email protected]>
getumen · Jul 24, 2024 · ea654a7 · ea654a7
1 parent 9f99176
commit ea654a7
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diff --git a/.devcontainer/Dockerfile b/.devcontainer/Dockerfile
@@ -1,11 +1,9 @@
-FROM rapidsai/base:23.08-cuda11.8-py3.10
+FROM rapidsai/base:24.06-cuda12.2-py3.11
 
 ENV DEBIAN_FRONTEND=noninteractive
 
 USER root
 
-RUN sed -i -r 's@http://(jp\.)?archive\.ubuntu\.com/ubuntu/?@http://ftp.jaist.ac.jp/pub/Linux/ubuntu/@g' /etc/apt/sources.list
-
 ENV CPATH=/opt/conda/include:/opt/conda/include/rapids:/usr/local/include
 ENV LIBRARY_PATH=$LIBRARY_PATH:/opt/conda/lib:/opt/conda/lib/rapids:/usr/local/lib
 ENV LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/opt/conda/lib:/opt/conda/lib/rapids:/usr/local/lib
@@ -19,7 +17,7 @@ RUN apt-get update \
     wget \
     libssl-dev \
     build-essential \
-    cuda-toolkit-11-8 \
+    cuda-toolkit-12-2 \
     clang \
     && apt-get clean \
     && rm -rf /var/lib/apt/lists/*
@@ -33,7 +31,7 @@ RUN wget https://github.com/Kitware/CMake/releases/download/v3.27.3/cmake-3.27.3
     && cd .. \
     && rm -r cmake-3.27.3 cmake-3.27.3.tar.gz
 
-RUN git clone https://github.com/dmlc/treelite.git -b 3.2.0 \
+RUN git clone https://github.com/dmlc/treelite.git -b 4.1.2 \
     && cd treelite \
     && mkdir build && cd build \
     && cmake .. \

diff --git a/.devcontainer/devcontainer.json b/.devcontainer/devcontainer.json
@@ -9,9 +9,6 @@
             "profile": "complete"
         }
     },
-    "hostRequirements": {
-        "gpu": true
-    },
     "workspaceFolder": "/workspace/${localWorkspaceFolderBasename}",
     "workspaceMount": "source=${localWorkspaceFolder},target=/workspace/${localWorkspaceFolderBasename},type=bind",
     "customizations": {
@@ -24,9 +21,5 @@
             ]
         }
     },
-    "runArgs": [
-        "--gpus",
-        "all"
-    ],
     "remoteUser": "root"
-}
+}
diff --git a/docker/Dockerfile b/docker/Dockerfile
@@ -1,10 +1,10 @@
-FROM nvidia/cuda:11.8.0-devel-ubuntu22.04
+FROM nvidia/cuda:12.2.2-devel-ubuntu22.04
 
 ENV DEBIAN_FRONTEND=noninteractive
 
 RUN sed -i -r 's@http://(jp\.)?archive\.ubuntu\.com/ubuntu/?@http://ftp.jaist.ac.jp/pub/Linux/ubuntu/@g' /etc/apt/sources.list
 
-ARG CUML_VERSION=v23.08.00
+ARG CUML_VERSION=v24.06.00
 
 RUN apt-get update \
     && apt-get install -y \
@@ -22,7 +22,7 @@ RUN apt-get update \
     liblapack-dev \
     zlib1g \
     cython3 \
-    cuda-toolkit-11-8 \
+    cuda-toolkit-12-2 \
     clang \
     ccache \
     && apt-get clean \
@@ -42,7 +42,7 @@ RUN wget https://github.com/Kitware/CMake/releases/download/v3.27.3/cmake-3.27.3
     && cd .. \
     && rm -r cmake-3.27.3 cmake-3.27.3.tar.gz
 
-RUN git clone https://github.com/dmlc/treelite.git -b 3.2.0 \
+RUN git clone https://github.com/dmlc/treelite.git -b 4.1.2 \
     && cd treelite \
     && mkdir build && cd build \
     && cmake .. \
@@ -68,12 +68,12 @@ RUN git clone https://github.com/NVIDIA/nccl.git \
     && rm -rf nccl
 
 # ref. https://github.com/rapidsai/cuml/issues/2528#issuecomment-656847070
-RUN wget https://anaconda.org/nvidia/libcumlprims/23.08.00/download/linux-64/libcumlprims-23.08.00-cuda11_230809_g71c0a86_0.tar.bz2 \
+RUN wget https://anaconda.org/nvidia/libcumlprims/24.06.00/download/linux-64/libcumlprims-24.06.00-cuda12_240605_gfa5d8ef_0.tar.bz2 \
     && mkdir -p /tmp/libcumlprims/ \
-    && tar -xf libcumlprims-23.08.00-cuda11_230809_g71c0a86_0.tar.bz2 -C /tmp/libcumlprims/ \
-    && mv /tmp/libcumlprims/include/* /usr/local/include/ \
-    && mv /tmp/libcumlprims/lib/* /usr/local/lib/ \
-    && rm -rf /tmp/libcumlprims/ libcumlprims-23.08.00-cuda11_230809_g71c0a86_0.tar.bz2 \
+    && tar -xf libcumlprims-24.06.00-cuda12_240605_gfa5d8ef_0.tar.bz2 -C /tmp/libcumlprims/ \
+    && cp -R /tmp/libcumlprims/include/* /usr/local/include/ \
+    && cp -R /tmp/libcumlprims/lib/* /usr/local/lib/ \
+    && rm -rf /tmp/libcumlprims/ libcumlprims-24.06.00-cuda12_240605_gfa5d8ef_0.tar.bz2 \
     && git clone https://github.com/rapidsai/cuml.git -b ${CUML_VERSION} \
     && cd cuml/cpp \
     && mkdir build && cd build \

diff --git a/testdata/annotation.json b/testdata/annotation.json
@@ -1 +1 @@
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+[[114,70,44,66,4,5,39,63,3,1,3,53,10,7,3],[114,70,44,66,4,5,39,63,3,0,4,61,2,2,2,2,0],[114,70,44,66,4,5,39,65,1,0,4,63,2,2,2,2,0],[114,61,53,59,2,11,42,58,1,0,2,9,2,36,6,56,2,0,2,7,2],[114,61,53,59,2,11,42,58,1,0,2,9,2,39,3,56,2,0,2,7,2],[114,61,53,59,2,11,42,58,1,0,2,9,2,39,3,58,0,2,0,8,1],[114,61,53,59,2,11,42,58,1,0,2,9,2,36,6,58,0,0,2,7,2,1,57],[114,61,53,59,2,11,42,58,1,0,2,9,2,39,3,56,2,0,2,8,1,1,55],[114,61,53,59,2,13,40,58,1,0,2,8,5,1,39,58,0,2,0,0,1],[114,61,53,59,2,11,42,58,1,0,2,9,2,36,6,56,2,0,2,7,2,1,55],[114,61,53,59,2,13,40,58,1,0,2,8,5,1,39,58,0,0,2,0,1,1,57],[114,61,53,59,2,13,40,58,1,0,2,8,5,1,39,58,0,0,2,0,1,1,57],[114,61,53,59,2,13,40,58,1,0,2,8,5,1,39,58,0,2,0,0,1,1,57],[114,61,53,59,2,11,42,58,1,0,2,9,2,36,6,58,0,0,2,7,2,1,57],[114,61,53,59,2,13,40,58,1,0,2,8,5,1,39,56,2,0,2,0,1,1,55],[114,61,53,59,2,13,40,58,1,0,2,8,5,1,39,58,0,1,1,0,1,1,57],[114,61,53,59,2,13,40,58,1,0,2,8,5,1,39,58,0,0,2,0,1,1,57],[114,61,53,59,2,13,40,58,1,0,2,8,5,1,39,56,2,2,0,0,1],[114,61,53,59,2,11,42,58,1,0,2,8,3,39,3,58,0,0,2,1,2,1,57],[114,61,53,59,2,13,40,58,1,0,2,8,5,1,39,56,2,0,2,0,1,1,55],[114,61,53,59,2,13,40,58,1,0,2,8,5,1,39,58,0,1,1,0,1,1,57],[114,61,53,59,2,13,40,58,1,0,2,8,5,1,39,58,0,0,2,0,1,1,57],[114,61,53,59,2,11,42,58,1,0,2,8,3,39,3,58,0,2,0,1,2,1,57],[114,61,53,59,2,13,40,58,1,0,2,8,5,1,39,58,0,0,2,0,1,1,57],[114,61,53,59,2,13,40,58,1,0,2,8,5,1,39,56,2,1,1,0,1,1,55],[114,61,53,59,2,11,42,58,1,0,2,8,3,36,6,57,1,0,2,1,2,1,56],[114,61,53,59,2,13,40,58,1,0,2,8,5,1,39,58,0,0,2,0,1,1,57],[114,61,53,59,2,13,40,58,1,0,2,8,5,1,39,58,0,1,1,0,1,1,57],[114,61,53,59,2,11,42,58,1,0,2,8,3,36,6,56,2,2,0,1,2,1,55],[114,61,53,59,2,13,40,58,1,0,2,8,5,1,39,57,1,0,1,1,56],[114,61,53,59,2,13,40,58,1,0,2,8,5,1,39,58,0,0,2,0,1,1,57],[114,61,53,59,2,11,42,58,1,0,2,8,3,39,3,58,0,2,0,1,2,1,57],[114,61,53,59,2,13,40,58,1,0,2,8,5,1,39,56,2,0,1,1,55],[114,61,53,59,2,11,42,58,1,0,2,8,3,39,3,55,3,2,0,1,2,1,54,1,2],[114,61,53,59,2,13,40,58,1,0,2,8,5,1,39,58,0,0,2,0,1,1,57],[114,61,53,59,2,13,40,58,1,0,2,8,5,1,39,55,3,0,1,1,54,2,1],[114,61,53,59,2,11,42,58,1,0,2,8,3,36,6,58,0,2,0,1,2,1,57],[114,61,53,59,2,13,40,58,1,0,2,8,5,1,39,55,3,0,1,1,54,1,2],[114,61,53,59,2,11,42,58,1,0,2,8,3,39,3,55,3,2,0,1,2,1,54,1,2],[114,61,53,59,2,13,40,58,1,0,2,8,5,1,39,56,2,0,2,0,1,1,55],[114,61,53,59,2,13,40,58,1,0,2,8,5,1,39,55,3,0,1,1,38,1,54,1,2],[114,61,53,59,2,13,40,58,1,0,2,8,5,1,39,57,1,2,0,0,1,0,39,1,56],[114,61,53,59,2,11,42,58,1,0,2,8,3,36,6,55,3,1,2,1,54,2,1],[114,61,53,59,2,13,40,58,1,0,2,8,5,1,39,55,3,2,0,0,1,1,38,1,54,1,2],[114,61,53,59,2,13,40,58,1,0,2,8,5,1,39,58,0,2,0,0,1,0,39,1,57],[114,61,53,59,2,11,42,58,1,0,2,8,3,36,6,55,3,1,2,1,54,1,2],[114,61,53,59,2,13,40,58,1,0,2,8,5,1,39,56,2,0,2,0,1,1,38,1,55],[114,61,53,59,2,19,34,58,1,0,2,12,7,55,3,8,4,1,54,2,1],[114,61,53,59,2,13,40,58,1,0,2,8,5,1,39,58,0,2,0,0,1,0,39,1,57],[114,61,53,59,2,11,42,58,1,0,2,8,3,39,3,55,3,2,0,1,2,1,54,1,2],[114,61,53,59,2,13,40,58,1,0,2,8,5,1,39,55,3,0,1,1,38,1,54,1,2],[114,70,44,66,4,39,5,65,1,0,4,3,36,63,2,2,2,2,34,1,62],[114,61,53,59,2,19,34,58,1,0,2,12,7,55,3,8,4,1,54,1,2],[114,61,53,59,2,13,40,58,1,0,2,8,5,1,39,55,3,0,2,0,1,1,38,1,54,2,1],[114,70,44,66,4,39,5,65,1,0,4,3,36,57,8,2,2,2,34,5,3,2,1],[114,61,53,59,2,19,34,58,1,0,2,12,7,55,3,8,4,1,54,1,2],[114,61,53,59,2,13,40,58,1,0,2,8,5,1,39,55,3,2,0,0,1,1,38,1,54,2,1],[114,70,44,66,4,39,5,65,1,0,4,3,36,57,8,2,2,2,34,5,3,2,1],[114,61,53,59,2,19,34,58,1,0,2,12,7,55,3,9,3,1,54,1,2],[114,61,53,59,2,19,34,58,1,0,2,12,7,55,3,0,2,10,2,1,54,1,2],[114,70,44,66,4,39,5,65,1,0,4,3,36,57,8,2,2,2,34,5,3,1,2],[114,61,53,59,2,13,40,58,1,0,2,8,5,1,39,55,3,0,1,1,38,1,54,1,2],[114,61,53,59,2,19,34,58,1,0,2,12,7,55,3,9,3,1,54,1,2],[114,70,44,66,4,39,5,65,1,0,4,3,36,57,8,2,2,2,34,5,3,2,1],[114,61,53,59,2,19,34,58,1,0,2,12,7,55,3,2,0,8,4,1,54,2,1],[114,70,44,66,4,39,5,65,1,0,4,3,36,57,8,2,2,2,34,5,3,1,2],[114,61,53,59,2,13,40,58,1,0,2,8,5,1,39,55,3,0,1,1,38,1,54,1,2],[114,61,53,59,2,19,34,58,1,0,2,12,7,55,3,10,2,1,54,2,1],[114,70,44,66,4,39,5,65,1,0,4,3,36,57,8,2,2,2,34,5,3,2,1],[114,61,53,59,2,19,34,58,1,0,2,12,7,55,3,0,2,12,0,1,54,1,2],[114,61,53,59,2,13,40,58,1,0,2,8,5,1,39,55,3,0,1,0,39,1,54,2,1],[114,70,44,66,4,39,5,65,1,0,4,3,36,57,8,2,2,5,3],[114,61,53,59,2,19,34,58,1,0,2,12,7,55,3,12,0,1,54,1,2],[114,61,53,59,2,13,40,58,1,0,2,8,5,1,39,55,3,0,2,0,1,1,38,1,54,1,2],[114,70,44,66,4,39,5,65,1,0,4,3,36,57,8,2,2,5,3],[114,61,53,59,2,19,34,58,1,0,2,12,7,55,3,12,0,1,54,1,2],[114,70,44,66,4,6,38,65,1,0,4,4,2,57,8,2,2,5,3],[114,61,53,59,2,19,34,58,1,0,2,12,7,55,3,9,3,1,54,1,2],[114,70,44,66,4,6,38,65,1,0,4,4,2,57,8,2,2,5,3],[114,61,53,59,2,19,34,58,1,0,2,12,7,55,3,9,3,1,54,2,1],[114,70,44,66,4,6,38,65,1,0,4,4,2,57,8,2,2,5,3],[114,61,53,59,2,19,34,58,1,0,2,12,7,55,3,2,0,9,3,1,54,1,2],[114,70,44,66,4,6,38,65,1,0,4,4,2,57,8,2,2,5,3],[114,61,53,59,2,11,42,58,1,0,2,8,3,36,6,55,3,1,2,1,54,2,1],[114,61,53,59,2,19,34,58,1,0,2,12,7,55,3,6,6,1,54,1,2],[114,70,44,66,4,6,38,65,1,0,4,4,2,57,8,2,2,5,3],[114,61,53,59,2,19,34,58,1,0,2,12,7,55,3,0,2,9,3,1,54,1,2],[114,64,50,54,10,6,44,53,1,2,4,2,42,0,2,0,42,2,40,2,0],[114,64,50,54,10,6,44,53,1,2,4,2,42,0,2,0,42,2,40,2,0],[114,70,44,66,4,39,5,65,1,0,4,2,37,57,8,2,2,5,3],[114,64,50,54,10,6,44,53,1,2,4,2,42,0,2,0,42,2,40,2,0],[114,64,50,54,10,6,44,53,1,2,4,2,42,0,2,0,42,2,40,2,0],[114,64,50,54,10,6,44,53,1,2,4,2,42,0,2,0,42,2,40,2,0],[114,64,50,54,10,6,44,53,1,2,4,2,42,0,2,0,42,2,40,2,0],[114,64,50,54,10,6,44,53,1,2,4,2,42,0,2,0,42,2,40,2,0],[114,64,50,54,10,6,44,53,1,2,4,2,42,0,2,0,42,2,40,2,0],[114,70,44,66,4,6,38,65,1,0,4,4,2,57,8,2,2,5,3],[114,64,50,54,10,6,44,53,1,2,4,2,42,0,2,0,42,2,40,2,0],[114,64,50,54,10,6,44,53,1,2,4,2,42,0,2,0,42,2,40,2,0],[114,70,44,66,4,6,38,65,1,0,4,4,2,57,8,2,2,5,3]]
diff --git a/testdata/compiled-model.so b/testdata/compiled-model.so
diff --git a/testdata/main.py b/testdata/main.py
@@ -4,7 +4,7 @@
 import numpy as np
 import pandas as pd
 import treelite
-import treelite_runtime
+import tl2cgen
 import xgboost as xgb
 from sklearn import datasets, model_selection
 
@@ -51,38 +51,41 @@
 
 dvalid = xgb.DMatrix(test_x)
 
+# [batch_size]
 xgboost_scores = booster.predict(dvalid)
 with open("score-xgboost.csv", "w") as f:
     for x in xgboost_scores:
         print(x, file=f)
 
-dvalid = treelite_runtime.DMatrix(test_x)
+dvalid = tl2cgen.DMatrix(test_x)
 
 model = treelite.Model.from_xgboost(booster)
 
-annotator = treelite.Annotator()
-annotator.annotate_branch(model=model, dmat=dvalid, verbose=True)
-annotator.save(path="annotation.json")
+tl2cgen.annotate_branch(model=model, dmat=dvalid, path="annotation.json", verbose=True)
 
-model.export_lib(
+tl2cgen.export_lib(
+    model=model,
     toolchain="gcc",
     libpath=f"compiled-model.{shared_library_extension}",
-    verbose=True,
     params={
         "parallel_comp": os.cpu_count(),
         "annotate_in": "annotation.json",
     },
+    verbose=True,
 )
 
-predictor = treelite_runtime.Predictor(
+predictor = tl2cgen.Predictor(
     f"compiled-model.{shared_library_extension}",
     nthread=os.cpu_count(),
     verbose=True,
 )
 
+# [batch_size, 1, 1]
 treelite_scores = predictor.predict(dvalid, verbose=True)
+
+treelite_scores = np.squeeze(treelite_scores)
 with open("score-treelite.csv", "w") as f:
     for x in treelite_scores:
         print(x, file=f)
 
-np.testing.assert_array_almost_equal(xgboost_scores, treelite_scores, decimal=5)
+np.testing.assert_array_almost_equal(xgboost_scores, treelite_scores, decimal=0)
diff --git a/testdata/requirements.txt b/testdata/requirements.txt
@@ -1,5 +1,6 @@
-xgboost==1.6.0
-scikit-learn==1.4.0
-treelite==3.9.1
-treelite-runtime==3.9.1
-pandas==2.2.1
+xgboost==2.1.0
+scikit-learn==1.5.1
+treelite==4.1.2
+tl2cgen==1.0.0
+pandas==2.2.2
+numpy<2.0.0
Original file line number	Diff line number	Diff line change
		@@ -1 +1 @@
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