megenginelite-sys 1.8.2

A safe megenginelite wrapper in Rust
Documentation 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159

from collections import OrderedDict

import numpy as np

import megengine.functional as F
import megengine.module as M
from megengine import Tensor
from megengine.core._imperative_rt.core2 import apply
from megengine.core.ops import builtin
from megengine.module import Module
from megengine.traced_module import TracedModule, enable_expr_checker, trace_module
from megengine.traced_module.expr import Apply, CallFunction, Constant


class MyModule1(M.Module):
    def forward(self, x):
        y = Tensor(x)
        y += 1
        x = x + 2
        return x, y


class MyModule2(M.Module):
    def forward(self, x):
        y = Tensor([1, x, 1])
        y += 1
        x = x + 2
        return x, y


class MyModule3(M.Module):
    def __init__(self):
        super().__init__()
        self.modules = [
            M.Elemwise("ADD"),
            M.Elemwise("ADD"),
            OrderedDict([("a", M.Elemwise("ADD")), ("b", M.Elemwise("ADD"))]),
            M.Elemwise("RELU"),
            M.Elemwise("RELU"),
        ]

    def forward(self, a, b):
        x = self.modules[0](a, b)
        y = self.modules[1](a, b)
        assert list(self.modules[2].keys()) == ["a", "b"]
        for _, m in self.modules[2].items():
            y = m(x, y)
        for m in self.modules[3:]:
            y = m(y)
        return y


class MyModule4(M.Module):
    def __init__(self):
        super().__init__()
        self.add = F.add

    def forward(self, x, y):
        return self.add(x, y)


def test_trace_module():
    enable_expr_checker()
    x = Tensor(1)
    m1 = MyModule1()
    tm1 = trace_module(m1, x)

    m2 = MyModule2()
    tm2 = trace_module(m2, x)
    inp = Tensor(2)
    gt = m1(inp)
    output = tm1(inp)
    for a, b in zip(output, gt):
        np.testing.assert_equal(a.numpy(), b.numpy())

    gt1 = m2(inp)
    output1 = tm2(inp)

    for a, b in zip(output1, gt1):
        np.testing.assert_equal(a.numpy(), b.numpy())

    a, b = Tensor(1), Tensor(2)
    m3 = MyModule3()
    gt = m3(a, b)
    tm3 = trace_module(m3, a, b)
    out = tm3(a, b)
    np.testing.assert_equal(out.numpy(), gt.numpy())
    assert isinstance(tm3.modules.__dict__["0"], M.Elemwise)
    assert isinstance(tm3.modules.__dict__["2"], TracedModule)
    assert isinstance(tm3.modules.__dict__["2"].a, M.Elemwise)
    assert isinstance(tm3.modules.__dict__["3"], M.Elemwise)

    m4 = MyModule4()
    tm4 = trace_module(m4, a, b)
    np.testing.assert_equal(tm4(a, b).numpy(), 3)
    np.testing.assert_equal(tm4(a, y=b).numpy(), 3)
    np.testing.assert_equal(tm4(x=a, y=b).numpy(), 3)

    tm4 = trace_module(m4, a, y=b)
    np.testing.assert_equal(tm4(a, b).numpy(), 3)
    np.testing.assert_equal(tm4(a, y=b).numpy(), 3)
    np.testing.assert_equal(tm4(x=a, y=b).numpy(), 3)

    tm4 = trace_module(m4, x=a, y=b)
    np.testing.assert_equal(tm4(a, b).numpy(), 3)
    np.testing.assert_equal(tm4(a, y=b).numpy(), 3)
    np.testing.assert_equal(tm4(x=a, y=b).numpy(), 3)

    tm5 = trace_module(tm4, a, b)
    np.testing.assert_equal(tm5(a, b).numpy(), 3)
    np.testing.assert_equal(tm5(a, y=b).numpy(), 3)
    np.testing.assert_equal(tm5(x=a, y=b).numpy(), 3)

    tm5 = trace_module(tm4, a, y=b)
    np.testing.assert_equal(tm5(a, b).numpy(), 3)
    np.testing.assert_equal(tm5(a, y=b).numpy(), 3)
    np.testing.assert_equal(tm5(x=a, y=b).numpy(), 3)

    tm5 = trace_module(tm4, x=a, y=b)
    np.testing.assert_equal(tm5(a, b).numpy(), 3)
    np.testing.assert_equal(tm5(a, y=b).numpy(), 3)
    np.testing.assert_equal(tm5(x=a, y=b).numpy(), 3)

    assert len(tm4.graph._exprs) == 1
    assert isinstance(tm4.graph._exprs[0], CallFunction)

    class MyModule5(Module):
        def __init__(self):
            super().__init__()
            self.m1 = tm4

        def forward(self, x, y):
            return self.m1(x, y)

    tm6 = trace_module(MyModule5(), a, b)
    assert tm6.m1.argspec is None
    assert tm6.m1._is_top is False


def test_trace_module_2():
    class Model(M.Module):
        def __init__(self):
            super().__init__()

        def forward(self, x):
            out = x.shape
            out = apply(builtin.Elemwise(mode="ADD"), out, Tensor(1))
            return out

    traced_model = trace_module(Model(), Tensor(([1,])))

    assert isinstance(traced_model.graph._exprs[0], Apply) and isinstance(
        traced_model.graph._exprs[0].opdef, builtin.GetVarShape
    )
    assert isinstance(traced_model.graph._exprs[1], Constant)
    assert isinstance(traced_model.graph._exprs[2], Apply) and isinstance(
        traced_model.graph._exprs[2].opdef, builtin.Elemwise
    )
    assert int(traced_model(Tensor([1, 2]))[0]) == 3