mirror of
https://github.com/ml-explore/mlx.git
synced 2025-07-21 16:51:15 +08:00
Pickle with NumPy arrays
This commit is contained in:
parent
c02602a4a1
commit
6b6b4f0a5f
@ -458,6 +458,21 @@ std::vector<size_t> buffer_strides(const array& a) {
|
|||||||
return py_strides;
|
return py_strides;
|
||||||
}
|
}
|
||||||
|
|
||||||
|
py::buffer_info buffer_info(array& a) {
|
||||||
|
// Eval if not already evaled
|
||||||
|
if (!a.is_evaled()) {
|
||||||
|
py::gil_scoped_release nogil;
|
||||||
|
a.eval();
|
||||||
|
}
|
||||||
|
return pybind11::buffer_info(
|
||||||
|
a.data<void>(),
|
||||||
|
a.itemsize(),
|
||||||
|
buffer_format(a).value_or("B"), // we use "B" because pybind uses a
|
||||||
|
// std::string which can't be null
|
||||||
|
a.ndim(),
|
||||||
|
a.shape(),
|
||||||
|
buffer_strides(a));
|
||||||
|
}
|
||||||
///////////////////////////////////////////////////////////////////////////////
|
///////////////////////////////////////////////////////////////////////////////
|
||||||
// Module
|
// Module
|
||||||
///////////////////////////////////////////////////////////////////////////////
|
///////////////////////////////////////////////////////////////////////////////
|
||||||
@ -647,21 +662,7 @@ void init_array(py::module_& m) {
|
|||||||
.def("__iter__", [](const ArrayPythonIterator& it) { return it; });
|
.def("__iter__", [](const ArrayPythonIterator& it) { return it; });
|
||||||
|
|
||||||
array_class
|
array_class
|
||||||
.def_buffer([](array& a) {
|
.def_buffer([](array& a) -> py::buffer_info { return buffer_info(a); })
|
||||||
// Eval if not already evaled
|
|
||||||
if (!a.is_evaled()) {
|
|
||||||
py::gil_scoped_release nogil;
|
|
||||||
a.eval();
|
|
||||||
}
|
|
||||||
return pybind11::buffer_info(
|
|
||||||
a.data<void>(),
|
|
||||||
a.itemsize(),
|
|
||||||
buffer_format(a).value_or("B"), // we use "B" because pybind uses a
|
|
||||||
// std::string which can't be null
|
|
||||||
a.ndim(),
|
|
||||||
a.shape(),
|
|
||||||
buffer_strides(a));
|
|
||||||
})
|
|
||||||
.def_property_readonly(
|
.def_property_readonly(
|
||||||
"size", &array::size, R"pbdoc(Number of elements in the array.)pbdoc")
|
"size", &array::size, R"pbdoc(Number of elements in the array.)pbdoc")
|
||||||
.def_property_readonly(
|
.def_property_readonly(
|
||||||
@ -775,17 +776,13 @@ void init_array(py::module_& m) {
|
|||||||
.def("__iter__", [](const array& a) { return ArrayPythonIterator(a); })
|
.def("__iter__", [](const array& a) { return ArrayPythonIterator(a); })
|
||||||
.def(py::pickle(
|
.def(py::pickle(
|
||||||
[](array& a) { // __getstate__
|
[](array& a) { // __getstate__
|
||||||
return py::make_tuple(
|
return py::array(buffer_info(a));
|
||||||
dtype_to_array_protocol(a.dtype()), tolist(a));
|
|
||||||
},
|
},
|
||||||
[](py::tuple t) { // __setstate__
|
[](py::array npa) { // __setstate__
|
||||||
if (t.size() != 2 or !py::isinstance<py::str>(t[0]) or
|
if (not py::isinstance<py::array>(npa)) {
|
||||||
!py::isinstance<py::list>(t[1]))
|
throw std::runtime_error("Invalid state!");
|
||||||
throw std::invalid_argument(
|
}
|
||||||
"Invalide state for __setstate__. Expected a tuple of length 2 with a string and a list as elements.");
|
return np_array_to_mlx(npa, std::nullopt);
|
||||||
|
|
||||||
return array_from_list(
|
|
||||||
t[1], dtype_from_array_protocol(t[0].cast<std::string>()));
|
|
||||||
}))
|
}))
|
||||||
.def("__copy__", [](const array& self) { return array(self); })
|
.def("__copy__", [](const array& self) { return array(self); })
|
||||||
.def(
|
.def(
|
||||||
|
@ -1,9 +1,10 @@
|
|||||||
# Copyright © 2023 Apple Inc.
|
# Copyright © 2024 Apple Inc.
|
||||||
|
|
||||||
import operator
|
import operator
|
||||||
import pickle
|
import pickle
|
||||||
import unittest
|
import unittest
|
||||||
import weakref
|
import weakref
|
||||||
|
from copy import copy, deepcopy
|
||||||
from itertools import permutations
|
from itertools import permutations
|
||||||
|
|
||||||
import mlx.core as mx
|
import mlx.core as mx
|
||||||
@ -670,17 +671,15 @@ class TestArray(mlx_tests.MLXTestCase):
|
|||||||
mx.uint64,
|
mx.uint64,
|
||||||
mx.float16,
|
mx.float16,
|
||||||
mx.float32,
|
mx.float32,
|
||||||
mx.bfloat16,
|
# mx.bfloat16,
|
||||||
mx.complex64,
|
mx.complex64,
|
||||||
]
|
]
|
||||||
import pickle
|
|
||||||
|
|
||||||
for dtype in dtypes:
|
for dtype in dtypes:
|
||||||
x = mx.array([[[1, 2], [3, 4]], [[5, 6], [7, 8]]], dtype=dtype)
|
x = mx.array([[[1, 2], [3, 4]], [[5, 6], [7, 8]]], dtype=dtype)
|
||||||
state = pickle.dumps(x)
|
state = pickle.dumps(x)
|
||||||
y = pickle.loads(state)
|
y = pickle.loads(state)
|
||||||
self.assertEqualArray(x, y)
|
self.assertEqualArray(y, x)
|
||||||
self.assertEqual(x.dtype, y.dtype)
|
|
||||||
|
|
||||||
def test_array_copy(self):
|
def test_array_copy(self):
|
||||||
dtypes = [
|
dtypes = [
|
||||||
@ -698,16 +697,14 @@ class TestArray(mlx_tests.MLXTestCase):
|
|||||||
mx.complex64,
|
mx.complex64,
|
||||||
]
|
]
|
||||||
|
|
||||||
from copy import copy, deepcopy
|
|
||||||
|
|
||||||
for copy_function in [copy, deepcopy]:
|
for copy_function in [copy, deepcopy]:
|
||||||
for dtype in dtypes:
|
for dtype in dtypes:
|
||||||
x = mx.array([[[1, 2], [3, 4]], [[5, 6], [7, 8]]], dtype=dtype)
|
x = mx.array([[[1, 2], [3, 4]], [[5, 6], [7, 8]]], dtype=dtype)
|
||||||
y = copy_function(x)
|
y = copy_function(x)
|
||||||
self.assertEqualArray(x, y)
|
self.assertEqualArray(y, x)
|
||||||
|
|
||||||
y -= 1
|
y -= 1
|
||||||
self.assertEqualArray(x - 1, y)
|
self.assertEqualArray(y, x - 1)
|
||||||
|
|
||||||
def test_indexing(self):
|
def test_indexing(self):
|
||||||
# Basic content check, slice indexing
|
# Basic content check, slice indexing
|
||||||
|
Loading…
Reference in New Issue
Block a user