190 lines
10 KiB
Python
190 lines
10 KiB
Python
# type: ignore
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from . import ops
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from __future__ import annotations
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from openvino._pyopenvino.op import assign
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from openvino._pyopenvino.op import if_op
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from openvino._pyopenvino.op import loop
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from openvino._pyopenvino.op import tensor_iterator
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from openvino.opset1.ops import absolute
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from openvino.opset1.ops import absolute as abs
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from openvino.opset1.ops import acos
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from openvino.opset1.ops import add
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from openvino.opset1.ops import asin
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from openvino.opset1.ops import atan
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from openvino.opset1.ops import avg_pool
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from openvino.opset1.ops import binary_convolution
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from openvino.opset1.ops import ceiling
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from openvino.opset1.ops import ceiling as ceil
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from openvino.opset1.ops import clamp
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from openvino.opset1.ops import concat
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from openvino.opset1.ops import convert
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from openvino.opset1.ops import convert_like
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from openvino.opset1.ops import convolution
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from openvino.opset1.ops import convolution_backprop_data
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from openvino.opset1.ops import cos
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from openvino.opset1.ops import cosh
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from openvino.opset1.ops import ctc_greedy_decoder
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from openvino.opset1.ops import deformable_psroi_pooling
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from openvino.opset1.ops import depth_to_space
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from openvino.opset1.ops import divide
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from openvino.opset1.ops import elu
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from openvino.opset1.ops import equal
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from openvino.opset1.ops import erf
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from openvino.opset1.ops import exp
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from openvino.opset1.ops import floor
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from openvino.opset1.ops import floor_mod
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from openvino.opset1.ops import gather_tree
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from openvino.opset1.ops import greater
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from openvino.opset1.ops import greater_equal
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from openvino.opset1.ops import grn
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from openvino.opset1.ops import group_convolution
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from openvino.opset1.ops import group_convolution_backprop_data
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from openvino.opset1.ops import hard_sigmoid
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from openvino.opset1.ops import less
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from openvino.opset1.ops import less_equal
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from openvino.opset1.ops import log
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from openvino.opset1.ops import logical_and
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from openvino.opset1.ops import logical_not
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from openvino.opset1.ops import logical_or
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from openvino.opset1.ops import logical_xor
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from openvino.opset1.ops import lrn
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from openvino.opset1.ops import matmul
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from openvino.opset1.ops import maximum
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from openvino.opset1.ops import minimum
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from openvino.opset1.ops import mod
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from openvino.opset1.ops import multiply
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from openvino.opset1.ops import negative
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from openvino.opset1.ops import normalize_l2
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from openvino.opset1.ops import not_equal
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from openvino.opset1.ops import one_hot
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from openvino.opset1.ops import parameter
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from openvino.opset1.ops import power
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from openvino.opset1.ops import prelu
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from openvino.opset1.ops import prior_box_clustered
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from openvino.opset1.ops import psroi_pooling
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from openvino.opset1.ops import reduce_logical_and
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from openvino.opset1.ops import reduce_logical_or
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from openvino.opset1.ops import reduce_max
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from openvino.opset1.ops import reduce_mean
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from openvino.opset1.ops import reduce_min
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from openvino.opset1.ops import reduce_prod
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from openvino.opset1.ops import reduce_sum
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from openvino.opset1.ops import region_yolo
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from openvino.opset1.ops import relu
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from openvino.opset1.ops import reshape
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from openvino.opset1.ops import reverse_sequence
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from openvino.opset1.ops import select
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from openvino.opset1.ops import selu
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from openvino.opset1.ops import sigmoid
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from openvino.opset1.ops import sign
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from openvino.opset1.ops import sin
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from openvino.opset1.ops import sinh
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from openvino.opset1.ops import space_to_depth
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from openvino.opset1.ops import split
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from openvino.opset1.ops import sqrt
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from openvino.opset1.ops import squared_difference
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from openvino.opset1.ops import squeeze
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from openvino.opset1.ops import strided_slice
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from openvino.opset1.ops import subtract
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from openvino.opset1.ops import tan
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from openvino.opset1.ops import tanh
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from openvino.opset1.ops import tile
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from openvino.opset1.ops import transpose
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from openvino.opset1.ops import unsqueeze
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from openvino.opset1.ops import variadic_split
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from openvino.opset10.ops import is_finite
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from openvino.opset10.ops import is_inf
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from openvino.opset10.ops import is_nan
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from openvino.opset10.ops import unique
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from openvino.opset11.ops import interpolate
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from openvino.opset11.ops import topk
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from openvino.opset12.ops import group_normalization
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from openvino.opset12.ops import pad
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from openvino.opset12.ops import scatter_elements_update
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from openvino.opset13.ops import bitwise_and
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from openvino.opset13.ops import bitwise_not
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from openvino.opset13.ops import bitwise_or
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from openvino.opset13.ops import bitwise_xor
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from openvino.opset13.ops import fake_convert
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from openvino.opset13.ops import fake_quantize
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from openvino.opset13.ops import multinomial
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from openvino.opset13.ops import nms_rotated
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from openvino.opset13.ops import result
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from openvino.opset13.ops import scaled_dot_product_attention
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from openvino.opset2.ops import batch_to_space
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from openvino.opset2.ops import reorg_yolo
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from openvino.opset2.ops import roi_pooling
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from openvino.opset2.ops import space_to_batch
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from openvino.opset3.ops import broadcast
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from openvino.opset3.ops import bucketize
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from openvino.opset3.ops import cum_sum
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from openvino.opset3.ops import cum_sum as cumsum
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from openvino.opset3.ops import embedding_bag_offsets_sum
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from openvino.opset3.ops import embedding_bag_packed_sum
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from openvino.opset3.ops import embedding_segments_sum
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from openvino.opset3.ops import extract_image_patches
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from openvino.opset3.ops import gru_cell
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from openvino.opset3.ops import non_zero
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from openvino.opset3.ops import rnn_cell
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from openvino.opset3.ops import scatter_update
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from openvino.opset3.ops import shape_of
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from openvino.opset3.ops import shuffle_channels
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from openvino.opset4.ops import acosh
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from openvino.opset4.ops import asinh
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from openvino.opset4.ops import atanh
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from openvino.opset4.ops import ctc_loss
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from openvino.opset4.ops import hswish
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from openvino.opset4.ops import lstm_cell
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from openvino.opset4.ops import mish
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from openvino.opset4.ops import proposal
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from openvino.opset4.ops import range
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from openvino.opset4.ops import reduce_l1
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from openvino.opset4.ops import reduce_l2
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from openvino.opset4.ops import scatter_nd_update
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from openvino.opset4.ops import softplus
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from openvino.opset4.ops import swish
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from openvino.opset5.ops import batch_norm_inference
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from openvino.opset5.ops import gru_sequence
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from openvino.opset5.ops import hsigmoid
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from openvino.opset5.ops import log_softmax
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from openvino.opset5.ops import lstm_sequence
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from openvino.opset5.ops import rnn_sequence
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from openvino.opset5.ops import round
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from openvino.opset6.ops import ctc_greedy_decoder_seq_len
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from openvino.opset6.ops import gather_elements
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from openvino.opset6.ops import mvn
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from openvino.opset7.ops import dft
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from openvino.opset7.ops import einsum
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from openvino.opset7.ops import gelu
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from openvino.opset7.ops import idft
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from openvino.opset7.ops import roll
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from openvino.opset8.ops import adaptive_avg_pool
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from openvino.opset8.ops import adaptive_max_pool
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from openvino.opset8.ops import deformable_convolution
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from openvino.opset8.ops import detection_output
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from openvino.opset8.ops import gather
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from openvino.opset8.ops import gather_nd
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from openvino.opset8.ops import i420_to_bgr
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from openvino.opset8.ops import i420_to_rgb
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from openvino.opset8.ops import matrix_nms
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from openvino.opset8.ops import max_pool
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from openvino.opset8.ops import nv12_to_bgr
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from openvino.opset8.ops import nv12_to_rgb
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from openvino.opset8.ops import prior_box
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from openvino.opset8.ops import random_uniform
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from openvino.opset8.ops import slice
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from openvino.opset8.ops import softmax
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from openvino.opset9.ops import eye
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from openvino.opset9.ops import generate_proposals
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from openvino.opset9.ops import grid_sample
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from openvino.opset9.ops import irdft
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from openvino.opset9.ops import multiclass_nms
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from openvino.opset9.ops import non_max_suppression
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from openvino.opset9.ops import rdft
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from openvino.opset9.ops import roi_align
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from openvino.opset9.ops import softsign
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import openvino.utils.decorators
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__all__ = ['abs', 'absolute', 'acos', 'acosh', 'adaptive_avg_pool', 'adaptive_max_pool', 'add', 'asin', 'asinh', 'assign', 'atan', 'atanh', 'avg_pool', 'batch_norm_inference', 'batch_to_space', 'binary_convolution', 'bitwise_and', 'bitwise_not', 'bitwise_or', 'bitwise_xor', 'broadcast', 'bucketize', 'ceil', 'ceiling', 'clamp', 'concat', 'constant', 'convert', 'convert_like', 'convolution', 'convolution_backprop_data', 'cos', 'cosh', 'ctc_greedy_decoder', 'ctc_greedy_decoder_seq_len', 'ctc_loss', 'cum_sum', 'cumsum', 'deformable_convolution', 'deformable_psroi_pooling', 'depth_to_space', 'detection_output', 'dft', 'divide', 'einsum', 'elu', 'embedding_bag_offsets_sum', 'embedding_bag_packed_sum', 'embedding_segments_sum', 'equal', 'erf', 'exp', 'extract_image_patches', 'eye', 'fake_convert', 'fake_quantize', 'floor', 'floor_mod', 'gather', 'gather_elements', 'gather_nd', 'gather_tree', 'gelu', 'generate_proposals', 'greater', 'greater_equal', 'grid_sample', 'grn', 'group_convolution', 'group_convolution_backprop_data', 'group_normalization', 'gru_cell', 'gru_sequence', 'hard_sigmoid', 'hsigmoid', 'hswish', 'i420_to_bgr', 'i420_to_rgb', 'idft', 'if_op', 'interpolate', 'irdft', 'is_finite', 'is_inf', 'is_nan', 'less', 'less_equal', 'log', 'log_softmax', 'logical_and', 'logical_not', 'logical_or', 'logical_xor', 'loop', 'lrn', 'lstm_cell', 'lstm_sequence', 'matmul', 'matrix_nms', 'max_pool', 'maximum', 'minimum', 'mish', 'mod', 'multiclass_nms', 'multinomial', 'multiply', 'mvn', 'negative', 'nms_rotated', 'non_max_suppression', 'non_zero', 'normalize_l2', 'not_equal', 'nv12_to_bgr', 'nv12_to_rgb', 'one_hot', 'ops', 'pad', 'parameter', 'power', 'prelu', 'prior_box', 'prior_box_clustered', 'proposal', 'psroi_pooling', 'random_uniform', 'range', 'rdft', 'read_value', 'reduce_l1', 'reduce_l2', 'reduce_logical_and', 'reduce_logical_or', 'reduce_max', 'reduce_mean', 'reduce_min', 'reduce_prod', 'reduce_sum', 'region_yolo', 'relu', 'reorg_yolo', 'reshape', 'result', 'reverse_sequence', 'rnn_cell', 'rnn_sequence', 'roi_align', 'roi_pooling', 'roll', 'round', 'scaled_dot_product_attention', 'scatter_elements_update', 'scatter_nd_update', 'scatter_update', 'select', 'selu', 'shape_of', 'shuffle_channels', 'sigmoid', 'sign', 'sin', 'sinh', 'slice', 'softmax', 'softplus', 'softsign', 'space_to_batch', 'space_to_depth', 'split', 'sqrt', 'squared_difference', 'squeeze', 'strided_slice', 'subtract', 'swish', 'tan', 'tanh', 'tensor_iterator', 'tile', 'topk', 'transpose', 'unique', 'unsqueeze', 'variadic_split']
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constant: openvino.utils.decorators.MultiMethod # value = <openvino.utils.decorators.MultiMethod object>
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read_value: openvino.utils.decorators.MultiMethod # value = <openvino.utils.decorators.MultiMethod object>
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