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Replace cudf Column and Buffers APIs with pylibcudf and public cuDF APIs #781

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Merged
rapids-bot merged 3 commits into from
Jan 16, 2026
+6 −16
Merged

Replace cudf Column and Buffers APIs with pylibcudf and public cuDF APIs #781

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e4a29d3
Move away from cudf.core usage
rgsl888prabhu Jan 15, 2026
c448c03
style fix
rgsl888prabhu Jan 15, 2026
21257e6
Delete python/small_mip.mps
rgsl888prabhu Jan 16, 2026
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3 changes: 1 addition & 2 deletions python/cuopt/cuopt/distance_engine/waypoint_matrix_wrapper.pyx
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Original file line number Diff line number Diff line change
@@ -1,4 +1,4 @@
# SPDX-FileCopyrightText: Copyright (c) 2022-2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved. # noqa
# SPDX-FileCopyrightText: Copyright (c) 2022-2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved. # noqa
# SPDX-License-Identifier: Apache-2.0

# cython: profile=False
Expand All @@ -20,7 +20,6 @@ import numpy as np
from numba import cuda

import cudf
from cudf.core.column_accessor import ColumnAccessor

from cuopt.utilities import series_from_buf

Expand Down
19 changes: 5 additions & 14 deletions python/cuopt/cuopt/routing/utils_wrapper.pyx
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Original file line number Diff line number Diff line change
@@ -1,4 +1,4 @@
# SPDX-FileCopyrightText: Copyright (c) 2021-2025, NVIDIA CORPORATION & AFFILIATES. All rights reserved. # noqa
# SPDX-FileCopyrightText: Copyright (c) 2021-2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved. # noqa
# SPDX-License-Identifier: Apache-2.0


Expand All @@ -21,7 +21,6 @@ import numpy as np
from numba import cuda

import cudf
from cudf.core.buffer import as_buffer

from libcpp.utility cimport move

Expand Down Expand Up @@ -106,9 +105,7 @@ def generate_dataset(locations=100, asymmetric=True, min_demand=cudf.Series(),
coordinates['x'] = series_from_buf(x_pos, pa.float32())
coordinates['y'] = series_from_buf(y_pos, pa.float32())

matrices_buf = as_buffer(
DeviceBuffer.c_from_unique_ptr(move(g_ret.d_matrices_))
)
matrices_buf = DeviceBuffer.c_from_unique_ptr(move(g_ret.d_matrices_))
desc = matrices_buf.__cuda_array_interface__
desc["shape"] = (n_vehicle_types, n_matrix_types, locations, locations)
desc["typestr"] = "f4"
Expand Down Expand Up @@ -140,9 +137,7 @@ def generate_dataset(locations=100, asymmetric=True, min_demand=cudf.Series(),
)

fleet_size = vehicles["earliest_time"].shape[0]
capacities_buf = as_buffer(
DeviceBuffer.c_from_unique_ptr(move(g_ret.d_caps_))
)
capacities_buf = DeviceBuffer.c_from_unique_ptr(move(g_ret.d_caps_))
desc = capacities_buf.__cuda_array_interface__
desc["shape"] = (dim, fleet_size)
desc["typestr"] = "u2"
Expand All @@ -152,9 +147,7 @@ def generate_dataset(locations=100, asymmetric=True, min_demand=cudf.Series(),
vehicles["capacity_" + str(i)] = capacities[i]

# Fleet order constraints
service_times_buf = as_buffer(
DeviceBuffer.c_from_unique_ptr(move(g_ret.d_service_time_))
)
service_times_buf = DeviceBuffer.c_from_unique_ptr(move(g_ret.d_service_time_))
desc = service_times_buf.__cuda_array_interface__
desc["shape"] = (fleet_size, locations)
desc["typestr"] = "i4"
Expand All @@ -175,9 +168,7 @@ def generate_dataset(locations=100, asymmetric=True, min_demand=cudf.Series(),
orders["earliest_time"] = series_from_buf(earliest_time, pa.int32())
orders["latest_time"] = series_from_buf(latest_time, pa.int32())

demands_buf = as_buffer(
DeviceBuffer.c_from_unique_ptr(move(g_ret.d_demands_))
)
demands_buf = DeviceBuffer.c_from_unique_ptr(move(g_ret.d_demands_))
desc = demands_buf.__cuda_array_interface__
desc["shape"] = (dim, locations)
desc["typestr"] = "i2"
Expand Down