Source code for mlprodict.onnxrt.ops_cpu.op_gemm

# -*- encoding: utf-8 -*-
# pylint: disable=E0203,E1101,C0111
"""
Runtime operator.


:githublink:`%|py|7`
"""
import numpy
from ._op import OpRun


[docs]class Gemm(OpRun): atts = {'alpha': 1., 'beta': 1., 'transA': 0, 'transB': 0}
[docs] def __init__(self, onnx_node, desc=None, **options): OpRun.__init__(self, onnx_node, desc=desc, expected_attributes=Gemm.atts, **options) if self.transA: _meth = (Gemm._gemm11 if self.transB else Gemm._gemm10) else: _meth = (Gemm._gemm01 if self.transB else Gemm._gemm00) self._meth = lambda a, b, c: _meth(a, b, c, self.alpha, self.beta)
[docs] @staticmethod def _gemm00(a, b, c, alpha, beta): o = numpy.dot(a, b) * alpha if beta != 0: o += c * beta return o
[docs] @staticmethod def _gemm01(a, b, c, alpha, beta): o = numpy.dot(a, b.T) * alpha if beta != 0: o += c * beta return o
[docs] @staticmethod def _gemm10(a, b, c, alpha, beta): o = numpy.dot(a.T, b) * alpha if beta != 0: o += c * beta return o
[docs] @staticmethod def _gemm11(a, b, c, alpha, beta): o = numpy.dot(a.T, b.T) * alpha if beta != 0: o += c * beta return o
[docs] def _run(self, a, b, c): # pylint: disable=W0221 return (self._meth(a, b, c), )
[docs] def _infer_shapes(self, a, b, c): # pylint: disable=W0221 return (a, )