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https://github.com/ml-explore/mlx.git
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9a8ee00246
* mostly builds * most tests pass * fix circle build * add back buffer protocol * includes * fix for py38 * limit to cpu device * include * fix stubs * move signatures for docs * stubgen + docs fix * doc for compiled function, comments
59 lines
1.6 KiB
C++
59 lines
1.6 KiB
C++
// Copyright © 2023-2024 Apple Inc.
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#include <sstream>
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#include <nanobind/nanobind.h>
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#include <nanobind/stl/string.h>
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#include "mlx/device.h"
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#include "mlx/utils.h"
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namespace nb = nanobind;
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using namespace nb::literals;
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using namespace mlx::core;
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void init_device(nb::module_& m) {
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auto device_class = nb::class_<Device>(
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m, "Device", R"pbdoc(A device to run operations on.)pbdoc");
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nb::enum_<Device::DeviceType>(m, "DeviceType")
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.value("cpu", Device::DeviceType::cpu)
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.value("gpu", Device::DeviceType::gpu)
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.export_values()
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.def("__eq__", [](const Device::DeviceType& d, const nb::object& other) {
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if (!nb::isinstance<Device>(other) &&
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!nb::isinstance<Device::DeviceType>(other)) {
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return false;
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}
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return d == nb::cast<Device>(other);
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});
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device_class.def(nb::init<Device::DeviceType, int>(), "type"_a, "index"_a = 0)
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.def_ro("type", &Device::type)
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.def(
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"__repr__",
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[](const Device& d) {
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std::ostringstream os;
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os << d;
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return os.str();
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})
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.def("__eq__", [](const Device& d, const nb::object& other) {
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if (!nb::isinstance<Device>(other) &&
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!nb::isinstance<Device::DeviceType>(other)) {
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return false;
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}
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return d == nb::cast<Device>(other);
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});
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nb::implicitly_convertible<Device::DeviceType, Device>();
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m.def(
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"default_device",
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&default_device,
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R"pbdoc(Get the default device.)pbdoc");
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m.def(
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"set_default_device",
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&set_default_device,
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"device"_a,
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R"pbdoc(Set the default device.)pbdoc");
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}
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