/
interpreter.py
60 lines (46 loc) · 2.11 KB
/
interpreter.py
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
import os
from m2cgen import ast
from m2cgen.interpreters import utils, mixins
from m2cgen.interpreters.powershell.code_generator \
import PowershellCodeGenerator
from m2cgen.interpreters.interpreter import ImperativeToCodeInterpreter
class PowershellInterpreter(ImperativeToCodeInterpreter,
mixins.LinearAlgebraMixin):
supported_bin_vector_ops = {
ast.BinNumOpType.ADD: "Add-Vectors",
}
supported_bin_vector_num_ops = {
ast.BinNumOpType.MUL: "Mul-Vector-Number",
}
# exponent_function_name = "[math]::Exp"
power_function_name = "[math]::Pow"
# sqrt_function_name = "[math]::Sqrt"
tanh_function_name = "[math]::Tanh"
def __init__(self, indent=4, function_name="Score", *args, **kwargs):
self.function_name = function_name
cg = PowershellCodeGenerator(indent=indent)
kwargs["feature_array_name"] = "InputVector"
super(PowershellInterpreter, self).__init__(cg, *args, **kwargs)
def interpret(self, expr):
self._cg.reset_state()
self._reset_reused_expr_cache()
with self._cg.function_definition(
name=self.function_name,
args=[(True, self._feature_array_name)],
is_scalar_output=expr.output_size == 1):
last_result = self._do_interpret(expr)
self._cg.add_return_statement(last_result)
if self.with_linear_algebra:
filename = os.path.join(
os.path.dirname(__file__), "linear_algebra.ps1")
self._cg.prepend_code_lines(utils.get_file_content(filename))
return self._cg.code
def interpret_tanh_expr(self, expr, **kwargs):
nested_result = self._do_interpret(expr.expr, **kwargs)
return self._cg.math_function_invocation(
self.tanh_function_name, nested_result)
def interpret_pow_expr(self, expr, **kwargs):
base_result = self._do_interpret(expr.base_expr, **kwargs)
exp_result = self._do_interpret(expr.exp_expr, **kwargs)
return self._cg.math_function_invocation(
self.power_function_name, base_result, exp_result)