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@@ -86,8 +86,8 @@ jobs: | |
| date: ${{ inputs.date }} | ||
| sha: ${{ inputs.sha }} | ||
| package-name: cudf | ||
| test-before-arm64: "pip install tokenizers==0.10.2 cupy-cuda11x -f https://pip.cupy.dev/aarch64" | ||
| test-unittest: "pytest -v -n 8 ./python/cudf/cudf/tests" | ||
| test-before-arm64: "python -m pip install cupy-cuda11x -f https://pip.cupy.dev/aarch64" | ||
| test-unittest: "python -m pytest -v -n 8 ./python/cudf/cudf/tests" | ||
| wheel-tests-dask-cudf: | ||
| secrets: inherit | ||
| uses: rapidsai/shared-action-workflows/.github/workflows/[email protected] | ||
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@@ -97,4 +97,4 @@ jobs: | |
| date: ${{ inputs.date }} | ||
| sha: ${{ inputs.sha }} | ||
| package-name: dask_cudf | ||
| test-unittest: "pytest -v -n 8 ./python/dask_cudf/dask_cudf/tests" | ||
| test-unittest: "python -m pytest -v -n 8 ./python/dask_cudf/dask_cudf/tests" | ||
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| c_compiler_version: | ||
| - 9 | ||
| - 11 | ||
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| cxx_compiler_version: | ||
| - 9 | ||
| - 11 | ||
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| sysroot_version: | ||
| - "2.17" | ||
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| Original file line number | Diff line number | Diff line change |
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| @@ -1,8 +1,8 @@ | ||
| c_compiler_version: | ||
| - 9 | ||
| - 11 | ||
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| cxx_compiler_version: | ||
| - 9 | ||
| - 11 | ||
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| sysroot_version: | ||
| - "2.17" |
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| Original file line number | Diff line number | Diff line change |
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| @@ -1,8 +1,8 @@ | ||
| c_compiler_version: | ||
| - 9 | ||
| - 11 | ||
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| cxx_compiler_version: | ||
| - 9 | ||
| - 11 | ||
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| cuda_compiler: | ||
| - nvcc | ||
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| Original file line number | Diff line number | Diff line change |
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| /* | ||
| * Copyright (c) 2023, NVIDIA CORPORATION. | ||
| * | ||
| * Licensed under the Apache License, Version 2.0 (the "License"); | ||
| * you may not use this file except in compliance with the License. | ||
| * You may obtain a copy of the License at | ||
| * | ||
| * http://www.apache.org/licenses/LICENSE-2.0 | ||
| * | ||
| * Unless required by applicable law or agreed to in writing, software | ||
| * distributed under the License is distributed on an "AS IS" BASIS, | ||
| * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
| * See the License for the specific language governing permissions and | ||
| * limitations under the License. | ||
| */ | ||
|
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| #include <benchmarks/common/generate_input.hpp> | ||
| #include <benchmarks/fixture/benchmark_fixture.hpp> | ||
| #include <benchmarks/io/cuio_common.hpp> | ||
| #include <benchmarks/io/nvbench_helpers.hpp> | ||
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| #include <cudf/io/json.hpp> | ||
| #include <cudf/utilities/default_stream.hpp> | ||
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| #include <nvbench/nvbench.cuh> | ||
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| // Size of the data in the the benchmark dataframe; chosen to be low enough to allow benchmarks to | ||
| // run on most GPUs, but large enough to allow highest throughput | ||
| constexpr size_t data_size = 512 << 20; | ||
| constexpr cudf::size_type num_cols = 64; | ||
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| void json_read_common(cudf::io::json_writer_options const& write_opts, | ||
| cuio_source_sink_pair& source_sink, | ||
| nvbench::state& state) | ||
| { | ||
| cudf::io::write_json(write_opts); | ||
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| cudf::io::json_reader_options read_opts = | ||
| cudf::io::json_reader_options::builder(source_sink.make_source_info()); | ||
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| auto mem_stats_logger = cudf::memory_stats_logger(); | ||
| state.set_cuda_stream(nvbench::make_cuda_stream_view(cudf::get_default_stream().value())); | ||
| state.exec(nvbench::exec_tag::sync | nvbench::exec_tag::timer, | ||
| [&](nvbench::launch& launch, auto& timer) { | ||
| try_drop_l3_cache(); | ||
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| timer.start(); | ||
| cudf::io::read_json(read_opts); | ||
| timer.stop(); | ||
| }); | ||
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| auto const time = state.get_summary("nv/cold/time/gpu/mean").get_float64("value"); | ||
| state.add_element_count(static_cast<double>(data_size) / time, "bytes_per_second"); | ||
| state.add_buffer_size( | ||
| mem_stats_logger.peak_memory_usage(), "peak_memory_usage", "peak_memory_usage"); | ||
| state.add_buffer_size(source_sink.size(), "encoded_file_size", "encoded_file_size"); | ||
| } | ||
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| template <cudf::io::io_type IO> | ||
| void BM_json_read_io(nvbench::state& state, nvbench::type_list<nvbench::enum_type<IO>>) | ||
| { | ||
| auto const d_type = get_type_or_group({static_cast<int32_t>(data_type::INTEGRAL), | ||
| static_cast<int32_t>(data_type::FLOAT), | ||
| static_cast<int32_t>(data_type::DECIMAL), | ||
| static_cast<int32_t>(data_type::TIMESTAMP), | ||
| static_cast<int32_t>(data_type::DURATION), | ||
| static_cast<int32_t>(data_type::STRING), | ||
| static_cast<int32_t>(data_type::LIST), | ||
| static_cast<int32_t>(data_type::STRUCT)}); | ||
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| auto const source_type = IO; | ||
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| auto const tbl = create_random_table( | ||
| cycle_dtypes(d_type, num_cols), table_size_bytes{data_size}, data_profile_builder()); | ||
| auto const view = tbl->view(); | ||
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| cuio_source_sink_pair source_sink(source_type); | ||
| cudf::io::json_writer_options const write_opts = | ||
| cudf::io::json_writer_options::builder(source_sink.make_sink_info(), view).na_rep("null"); | ||
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| json_read_common(write_opts, source_sink, state); | ||
| } | ||
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| template <data_type DataType, cudf::io::io_type IO> | ||
| void BM_json_read_data_type( | ||
| nvbench::state& state, nvbench::type_list<nvbench::enum_type<DataType>, nvbench::enum_type<IO>>) | ||
| { | ||
| auto const d_type = get_type_or_group(static_cast<int32_t>(DataType)); | ||
| auto const source_type = IO; | ||
|
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| auto const tbl = create_random_table( | ||
| cycle_dtypes(d_type, num_cols), table_size_bytes{data_size}, data_profile_builder()); | ||
| auto const view = tbl->view(); | ||
|
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| cuio_source_sink_pair source_sink(source_type); | ||
| cudf::io::json_writer_options const write_opts = | ||
| cudf::io::json_writer_options::builder(source_sink.make_sink_info(), view).na_rep("null"); | ||
|
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| json_read_common(write_opts, source_sink, state); | ||
| } | ||
|
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| using d_type_list = nvbench::enum_type_list<data_type::INTEGRAL, | ||
| data_type::FLOAT, | ||
| data_type::DECIMAL, | ||
| data_type::TIMESTAMP, | ||
| data_type::DURATION, | ||
| data_type::STRING, | ||
| data_type::LIST, | ||
| data_type::STRUCT>; | ||
|
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| using io_list = nvbench::enum_type_list<cudf::io::io_type::FILEPATH, | ||
| cudf::io::io_type::HOST_BUFFER, | ||
| cudf::io::io_type::DEVICE_BUFFER>; | ||
|
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| using compression_list = | ||
| nvbench::enum_type_list<cudf::io::compression_type::SNAPPY, cudf::io::compression_type::NONE>; | ||
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| NVBENCH_BENCH_TYPES(BM_json_read_data_type, | ||
| NVBENCH_TYPE_AXES(d_type_list, | ||
| nvbench::enum_type_list<cudf::io::io_type::DEVICE_BUFFER>)) | ||
| .set_name("json_read_data_type") | ||
| .set_type_axes_names({"data_type", "io"}) | ||
| .set_min_samples(4); | ||
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| NVBENCH_BENCH_TYPES(BM_json_read_io, NVBENCH_TYPE_AXES(io_list)) | ||
| .set_name("json_read_io") | ||
| .set_type_axes_names({"io"}) | ||
| .set_min_samples(4); |
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