[dask] dask cudf inplace prediction. (#5512)
* Add inplace prediction for dask-cudf. * Remove Dockerfile.release, since it's not used anywhere * Use Conda exclusively in CUDF and GPU containers * Improve cupy memory copying. * Add skip marks to tests. * Add mgpu-cudf category on the CI to run all distributed tests. Co-authored-by: Hyunsu Cho <chohyu01@cs.washington.edu>
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18
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18
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vendored
@@ -307,19 +307,25 @@ def TestPythonGPU(args) {
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sh """
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${dockerRun} ${container_type} ${docker_binary} ${docker_args} tests/ci_build/test_python.sh mgpu
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"""
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if (args.cuda_version != '9.0') {
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echo "Running tests with cuDF..."
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sh """
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${dockerRun} cudf ${docker_binary} ${docker_args} tests/ci_build/test_python.sh mgpu-cudf
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"""
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}
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} else {
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echo "Using a single GPU"
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sh """
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${dockerRun} ${container_type} ${docker_binary} ${docker_args} tests/ci_build/test_python.sh gpu
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"""
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if (args.cuda_version != '9.0') {
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echo "Running tests with cuDF..."
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sh """
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${dockerRun} cudf ${docker_binary} ${docker_args} tests/ci_build/test_python.sh cudf
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"""
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}
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}
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// For CUDA 10.0 target, run cuDF tests too
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if (args.cuda_version == '10.0') {
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echo "Running tests with cuDF..."
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sh """
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${dockerRun} cudf ${docker_binary} ${docker_args} tests/ci_build/test_python.sh cudf
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"""
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}
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deleteDir()
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}
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}
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