/
interpreter.py
70 lines (52 loc) · 2.19 KB
/
interpreter.py
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import os
from m2cgen import ast
from m2cgen.interpreters import mixins
from m2cgen.interpreters import utils
from m2cgen.interpreters.interpreter import ImperativeToCodeInterpreter
from m2cgen.interpreters.dart.code_generator import DartCodeGenerator
class DartInterpreter(ImperativeToCodeInterpreter,
mixins.LinearAlgebraMixin,
mixins.BinExpressionDepthTrackingMixin):
supported_bin_vector_ops = {
ast.BinNumOpType.ADD: "addVectors",
}
supported_bin_vector_num_ops = {
ast.BinNumOpType.MUL: "mulVectorNumber",
}
bin_depth_threshold = 465
# exponent_function_name = "exp"
power_function_name = "pow"
# sqrt_function_name = "sqrt"
tanh_function_name = "tanh"
with_tanh_expr = False
def __init__(self, indent=4, function_name="score", *args, **kwargs):
self.indent = indent
self.function_name = function_name
cg = DartCodeGenerator(indent=indent)
super(DartInterpreter, self).__init__(cg, *args, **kwargs)
def interpret(self, expr):
self._cg.reset_state()
self._reset_reused_expr_cache()
args = [(True, self._feature_array_name)]
with self._cg.function_definition(
name=self.function_name,
args=args,
is_vector_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.dart")
self._cg.add_code_lines(utils.get_file_content(filename))
# Use own tanh function in order to be compatible with Dart
if self.with_tanh_expr:
filename = os.path.join(
os.path.dirname(__file__), "tanh.dart")
self._cg.add_code_lines(utils.get_file_content(filename))
if self.with_math_module:
self._cg.add_dependency("dart:math")
return self._cg.code
def interpret_tanh_expr(self, expr, **kwargs):
self.with_tanh_expr = True
return super(
DartInterpreter, self).interpret_tanh_expr(expr, **kwargs)