python_code stringlengths 0 456k |
|---|
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
from typing import Dict, Sequence, Text, Any
class Concat(Base):
@stat... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class QuantizeLinear(Base):
@staticmethod
def export(): # type: ()... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class Log(Base):
@staticmethod
def export(): # type: () -> None
... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class QLinearMatMul(Base):
@staticmethod
def export(): # type: () ... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class Asin(Base):
@staticmethod
def export(): # type: () -> None
... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import math
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class LRN(Base):
@staticmethod
def export(): # type: (... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
from typing import Tuple, Text
def einsum_reference_implementation(Eqn, Op... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
from typing import Optional
import onnx
from ..base import Base
from . import expect
def gemm_reference_implementation(A, B, C=None,... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class Where(Base):
@staticmethod
def export(): # type: () -> None... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class Cos(Base):
@staticmethod
def export(): # type: () -> None
... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class Or(Base):
@staticmethod
def export(): # type: () -> None
... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
def one_hot(indices, depth, axis=-1, dtype=np.float32): # type: ignore
... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
def reshape_reference_implementation(data, shape): # type: (np.ndarray, np... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class Tan(Base):
@staticmethod
def export(): # type: () -> None
... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class DequantizeLinear(Base):
@staticmethod
def export(): # type: ... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class Unique(Base):
@staticmethod
def export_sorted_without_axis()... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class ReduceMin(Base):
@staticmethod
def export_do_not_keepdims():... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class ReduceL1(Base):
@staticmethod
def export_do_not_keepdims(): ... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class LeakyRelu(Base):
@staticmethod
def export(): # type: () -> ... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
from onnx.backend.sample.ops.abs import abs
class Abs(Base):
@staticm... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import sys
import re
from typing import List, Text, Sequence, Any
import numpy as np # type: ignore
import onnx
import onnx.mapping
from ..utils import import_recursi... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
def argmax_use_numpy(data, axis=0, keepdims=1): # type: (np.ndarray, int, ... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class BitShift(Base):
@staticmethod
def export_right_unit8(): # t... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class Floor(Base):
@staticmethod
def export(): # type: () -> None... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import math
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class Erf(Base):
@staticmethod
def export(): # type:... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
from onnx import helper
class Upsample(Base):
@staticmethod
def ex... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class ConvInteger(Base):
@staticmethod
def export(): # type: () ->... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class LogSoftmax(Base):
@staticmethod
def export(): # type: () ->... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class Celu(Base):
@staticmethod
def export(): # type: () -> None
... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
def softmaxcrossentropy(x, target, weight=None, reduction='mean', ignore_in... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class RoiAlign(Base):
@staticmethod
def export_roialign(): # type:... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class Ceil(Base):
@staticmethod
def export(): # type: () -> None
... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class Size(Base):
@staticmethod
def export(): # type: () -> None
... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class NonMaxSuppression(Base):
@staticmethod
def export_nonmaxsupp... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
def apply_adagrad(r, t, x, g, h, norm_coefficient, epsilon, decay_factor): ... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
from ..utils import all_numeric_dtypes
class Min(Base):
@staticmethod
... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
from .pool_op_common import get_pad_shape, get_output_shape, pool
class Ave... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class Mean(Base):
@staticmethod
def export(): # type: () -> None
... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class Not(Base):
@staticmethod
def export(): # type: () -> None
... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class Mul(Base):
@staticmethod
def export(): # type: () -> None
... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
def pad_impl(data, raw_pads, mode, constant_values=0.0): # type: ignore
... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class ReduceMean(Base):
@staticmethod
def export_do_not_keepdims()... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
from typing import Any, List, Callable, Union, Optional, Text
def cartesian... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class Round(Base):
@staticmethod
def export(): # type: () -> None... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import itertools
import onnx
from ..base import Base
from . import expect
class Transpose(Base):
@staticmethod
def export_d... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
def compute_negative_log_likelihood_loss(input, target, weight=None, reduct... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from onnx import TensorProto
from ..base import Base
from . import expect
class DynamicQuantizeLinear(Base):
@stati... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class Split(Base):
@staticmethod
def export_1d(): # type: () -> N... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class PRelu(Base):
@staticmethod
def export(): # type: () -> None... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class GlobalAveragePool(Base):
@staticmethod
def export(): # type... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
from .pool_op_common import get_output_shape, get_pad_shape, pool
class Max... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class MaxUnpool(Base):
@staticmethod
def export_without_output_sha... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class EyeLike(Base):
@staticmethod
def export_without_dtype(): # ... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
def gather_nd_impl(data, indices, batch_dims):
# type: (np.ndarray, np.... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
from onnx import helper
# The below Scatter's numpy implementation is from ... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
def apply_adam(r, t, x, g, v, h, norm_coefficient, norm_coefficient_post, a... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class Compress(Base):
@staticmethod
def export_compress_0(): # ty... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class Relu(Base):
@staticmethod
def export(): # type: () -> None
... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class Sub(Base):
@staticmethod
def export(): # type: () -> None
... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
from typing import Any, Sequence
import onnx
from onnx import NodeProto
from ..base import Base
from . import expect
class TfIdfVect... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
def scatter_nd_impl(data, indices, updates):
# type: (np.ndarray, np.nd... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
# The below ScatterElements' numpy implementation is from https://stackover... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class Xor(Base):
@staticmethod
def export(): # type: () -> None
... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class Unsqueeze(Base):
@staticmethod
def export_unsqueeze_one_axis... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class ReverseSequence(Base):
@staticmethod
def export_reverseseque... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class Scan(Base):
@staticmethod
def export_scan_8(): # type: () -... |
import numpy as np # type: ignore
import itertools
from typing import Text, Sequence
def get_pad_shape(auto_pad, # type: Text
input_spatial_shape, # type: Sequence[int]
kernel_spatial_shape, # type: Sequence[int]
strides_spatial, # type: Sequence[int]
... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class HardSigmoid(Base):
@staticmethod
def export(): # type: () -... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class ReduceL2(Base):
@staticmethod
def export_do_not_keepdims(): ... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class Shape(Base):
@staticmethod
def export(): # type: () -> None... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class MatMulInteger(Base):
@staticmethod
def export(): # type: () ... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class ReduceProd(Base):
@staticmethod
def export_do_not_keepdims()... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import random
import onnx
from ..base import Base
from . import expect
from onnx import helper
def dropout(X, drop_probability=0.5, ... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class Constant(Base):
@staticmethod
def export(): # type: () -> N... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class Sum(Base):
@staticmethod
def export(): # type: () -> None
... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class ReduceMax(Base):
@staticmethod
def export_do_not_keepdims():... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class Conv(Base):
@staticmethod
def export(): # type: () -> None
... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class Greater(Base):
@staticmethod
def export(): # type: () -> No... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class Less(Base):
@staticmethod
def export(): # type: () -> None
... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class CumSum(Base):
@staticmethod
def export_cumsum_1d(): # type:... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class ReduceSumSquare(Base):
@staticmethod
def export_do_not_keepd... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
from typing import Any, Tuple
import onnx
from ..base import Base
from . import expect
class LSTM_Helper():
def __init__(self, *... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class Cosh(Base):
@staticmethod
def export(): # type: () -> None
... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class Clip(Base):
@staticmethod
def export(): # type: () -> None
... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class Elu(Base):
@staticmethod
def export(): # type: () -> None
... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
from typing import Any, Tuple
import onnx
from ..base import Base
from . import expect
class GRU_Helper():
def __init__(self, **... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class Sign(Base):
@staticmethod
def export(): # type: () -> None
... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class Sinh(Base):
@staticmethod
def export(): # type: () -> None
... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class Softplus(Base):
@staticmethod
def export(): # type: () -> N... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
def topk_sorted_implementation(X, k, axis, largest): # type: ignore
so... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class Sigmoid(Base):
@staticmethod
def export(): # type: () -> No... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from onnx.backend.test.case.base import Base
from onnx.backend.test.case.node import expect
class Squeeze(Base):
@s... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class Mod(Base):
@staticmethod
def export_mod_mixed_sign_float64()... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class Greater(Base):
@staticmethod
def export(): # type: () -> No... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class Identity(Base):
@staticmethod
def export(): # type: () -> N... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
def apply_momentum(t, r, x, g, v, norm_coefficient, alpha, beta): # type: ... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class Exp(Base):
@staticmethod
def export(): # type: () -> None
... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class ConstantOfShape(Base):
@staticmethod
def export_float_ones()... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
from typing import Any, Tuple
import onnx
from ..base import Base
from . import expect
class RNN_Helper():
def __init__(self, **... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np # type: ignore
import onnx
from ..base import Base
from . import expect
class ReduceLogSumExp(Base):
@staticmethod
def export_do_not_keepd... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.