repo stringclasses 454
values | file_path stringlengths 5 201 | extension stringclasses 1
value | content stringlengths 8 509k | num_lines int64 3 16.9k | size_bytes int64 8 511k |
|---|---|---|---|---|---|
openvino | src/frontends/paddle/tests/test_models/gen_scripts/generate_loop.py | .py | # ref: https://www.paddlepaddle.org.cn/tutorials/projectdetail/1998893#anchor-2
import os
import sys
import numpy as np
import paddle
from save_model import exportModel, saveModel
def loop():
paddle.enable_static()
x = np.full(shape=[1], fill_value=0, dtype='int64')
def cond(i, ten):
return te... | 301 | 8,999 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/generate_reduce_mean.py | .py | # Copyright (C) 2018-2026 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
#
# reduce_mean paddle model generator
#
import numpy as np
import sys
from save_model import saveModel
def reduce_mean(name : str, x, axis=None, keepdim=False):
import paddle
paddle.enable_static()
with paddle.static.pro... | 47 | 1,490 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/generate_conv2d_relu.py | .py | # Copyright (C) 2018-2026 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
import paddle
import numpy as np
import sys
from save_model import saveModel
if paddle.__version__ >= '2.6.0':
import paddle.base as fluid
else:
from paddle import fluid
paddle.enable_static()
inp_blob = np.random.randn(1, 3,... | 40 | 1,371 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/generate_conv2d_transpose.py | .py | # Copyright (C) 2018-2026 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
import numpy as np
import paddle
paddle.enable_static()
from save_model import saveModel
import sys
def run_and_save_model(input_x, name, feed, fetch_list, main_prog, start_prog):
cpu = paddle.static.cpu_places(1)
exe = paddle.... | 148 | 7,023 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/generate_reduce_all.py | .py | # Copyright (C) 2018-2026 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
#
# reduce_all paddle model generator
#
import numpy as np
import sys
from save_model import saveModel
def reduce_all(name : str, x, axis=None, keepdim=False):
import paddle
paddle.enable_static()
with paddle.static.progr... | 52 | 1,666 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/generate_hard_swish.py | .py | # Copyright (C) 2018-2026 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
#
# sigmoid paddle model generator
#
import numpy as np
from save_model import saveModel
import paddle
import sys
def hard_swish(name: str, x, threshold=6.0, scale=6.0, offset=3.0, data_type='float32'):
paddle.enable_static()
... | 46 | 1,390 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/generate_logical_xor.py | .py | # Copyright (C) 2018-2026 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
#
# logical_xor paddle model generator
#
import numpy as np
from save_model import saveModel
import sys
def equal_logical_xor(name : str, x, y, z):
import paddle
paddle.enable_static()
with paddle.static.program_guard(padd... | 53 | 1,612 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/generate_exp.py | .py | # Copyright (C) 2018-2026 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
#
# exp paddle model generator
#
import paddle
import numpy as np
from save_model import saveModel
import sys
def exp(name: str, x):
import paddle
paddle.enable_static()
with paddle.static.program_guard(paddle.static.Prog... | 47 | 1,228 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/generate_2in_2out.py | .py | # Copyright (C) 2018-2026 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
import paddle
import numpy as np
import os
import sys
from save_model import saveModel
if paddle.__version__ >= '2.6.0':
import paddle.base as fluid
else:
from paddle import fluid
paddle.enable_static()
inp_blob1 = np.random.r... | 70 | 2,774 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/generate_pool3d.py | .py | # Copyright (C) 2018-2026 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
#
# pool3d paddle model generator
#
import numpy as np
import sys
from save_model import saveModel
data_type = "float32"
def pool3d(name: str, x, attrs: dict):
import paddle
paddle.enable_static()
with paddle.static.prog... | 325 | 10,935 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/generate_split.py | .py | # Copyright (C) 2018-2026 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
#
# split paddle model generator
#
import numpy as np
from save_model import saveModel
import sys
def split(name : str, x, attrs : dict):
import paddle
paddle.enable_static()
with paddle.static.program_guard(paddle.static.... | 127 | 4,563 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/generate_round.py | .py | # Copyright (C) 2018-2026 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
#
# round paddle model generator
#
import numpy as np
from save_model import saveModel
import paddle
import sys
data_type = 'float32'
def paddle_round(name:str, x):
paddle.enable_static()
with paddle.static.program_guard(paddl... | 41 | 1,073 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/generate_conv2d_s.py | .py | # Copyright (C) 2018-2026 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
import paddle
import numpy as np
import os
import sys
from save_model import saveModel
if paddle.__version__ >= '2.6.0':
import paddle.base as fluid
else:
from paddle import fluid
paddle.enable_static()
inp_blob = np.random.r... | 37 | 1,326 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/generate_lower_version.py | .py | # Copyright (C) 2018-2026 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
import paddle
import numpy as np
import os
import sys
if paddle.__version__ >= '2.6.0':
from paddle.base.proto import framework_pb2
else:
from paddle.fluid.proto import framework_pb2
paddle.enable_static()
inp_blob = np.random... | 47 | 1,583 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/generate_matrix_nms.py | .py | # Copyright (C) 2018-2026 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
#
# matrix_nms paddle model generator
#
import os
import numpy as np
import copy # deepcopy
import sys
from nms import NMS
def main(): # matrix_nms
test_case = [None] * 20
# case matrix_nms_one_batch
test_case[0] = { #... | 408 | 14,715 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/generate_cos.py | .py | # Copyright (C) 2018-2026 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
#
# tanh paddle model generator
#
import numpy as np
from save_model import saveModel
import paddle
import sys
data_type = 'float32'
def cos(name:str, x):
paddle.enable_static()
with paddle.static.program_guard(paddle.static.P... | 41 | 1,050 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/generate_where.py | .py | # Copyright (C) 2018-2026 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
#
# where paddle model generator
#
import numpy as np
from save_model import saveModel
import sys
def where(name, test_x, test_y, test_cond):
import paddle
paddle.enable_static()
main_program = paddle.static.Program()
s... | 73 | 2,450 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/generate_stack.py | .py | # Copyright (C) 2018-2026 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
#
# stack paddle model generator
#
import numpy as np
from save_model import saveModel
import sys
def stack(axis, input1, input2, input3):
import paddle
paddle.enable_static()
with paddle.static.program_guard(paddle.static... | 85 | 2,949 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/generate_pad3d.py | .py | # Copyright (C) 2018-2026 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
#
# pad3d paddle model generator
#
import numpy as np
from save_model import saveModel
import sys
def pad3d(name : str, x, in_dtype, pad, data_format, mode, value = 0):
import paddle
paddle.enable_static()
with paddle.stati... | 80 | 2,693 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/save_model.py | .py | # Copyright (C) 2018-2026 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
import os
import sys
import numpy as np
import paddle
#print numpy array like C structure
def print_alike(arr, separator_begin='{', separator_end='}', verbose=False):
shape = arr.shape
rank = len(shape)
#print("shape: ", sh... | 135 | 4,152 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/generate_floor.py | .py | #
# floor paddle model generator
#
import numpy as np
from save_model import saveModel
import paddle
import sys
def floor(name: str, x):
paddle.enable_static()
with paddle.static.program_guard(paddle.static.Program(), paddle.static.Program()):
data = paddle.static.data(name='x', shape=x.shape, dtype=... | 41 | 996 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/nms.py | .py | # Copyright (C) 2018-2026 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
#
# helper for multiclass/matrix_nms paddle model generator
#
import os
import numpy as np
import copy # deepcopy
import sys
import paddle
from save_model import saveModel, exportModel, print_alike
if paddle.__version__ >= '2.6.0':
... | 139 | 6,732 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/generate_unstack.py | .py | # Copyright (C) 2018-2026 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
#
# unstack paddle model generator
#
import paddle
import numpy as np
from save_model import saveModel
import sys
def unstack(name: str, x, axis):
paddle.enable_static()
with paddle.static.program_guard(paddle.static.Program()... | 47 | 1,362 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/generate_softshrink.py | .py | # Copyright (C) 2018-2026 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
#
# softshrink paddle model generator
#
import numpy as np
import sys
from save_model import saveModel
def softshrink(name: str, x, threshold):
import paddle
paddle.enable_static()
node_x = paddle.static.data(name="x", sh... | 57 | 1,381 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/generate_p_norm.py | .py | # Copyright (C) 2018-2026 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
#
# p_norm paddle model generator
#
import sys
import numpy as np
import paddle
if paddle.__version__ >= '2.6.0':
from paddle.base.layer_helper import LayerHelper
else:
from paddle.fluid.layer_helper import LayerHelper
from s... | 92 | 3,035 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/generate_unsqueeze.py | .py | # Copyright (C) 2018-2026 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
#
# unsqueeze paddle model generator
#
import numpy as np
from save_model import saveModel
import paddle
import sys
data_type = 'float32'
def unsqueeze(name : str, x, axes : list):
paddle.enable_static()
with paddle.static.pro... | 44 | 1,264 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/generate_logical_or.py | .py | # Copyright (C) 2018-2026 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
#
# logical_or paddle model generator
#
import numpy as np
from save_model import saveModel
import sys
def equal_logical_or(name : str, x, y, z):
import paddle
paddle.enable_static()
with paddle.static.program_guard(paddle... | 53 | 1,608 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/generate_batch_norm.py | .py | # Copyright (C) 2018-2026 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
#
# pool2d paddle model generator
#
import numpy as np
from save_model import saveModel
import sys
def batch_norm1(name : str, x, scale, bias, mean, var, data_layout):
import paddle
paddle.enable_static()
node_x = paddle.s... | 93 | 3,766 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/generate_top_k_v2.py | .py | #
# top_k_v2 paddle model generator
#
import numpy as np
from save_model import saveModel
import paddle
import sys
data_type = 'float32'
def top_k_v2(name: str, x, k: int, axis=None, largest=True, sorted=True, k_is_var=True):
paddle.enable_static()
k = np.array([k], dtype='int32') if k_is_var else k
w... | 55 | 2,016 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/generate_logical_and.py | .py | # Copyright (C) 2018-2026 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
#
# logical_and paddle model generator
#
import numpy as np
from save_model import saveModel
import sys
def equal_logical_and(name : str, x, y, z):
import paddle
paddle.enable_static()
with paddle.static.program_guard(paddl... | 51 | 1,610 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/generate_roi_align.py | .py | # Copyright (C) 2018-2026 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
#
# roi_align paddle model generator
#
import numpy as np
from save_model import saveModel
import paddle
import ops
import sys
def make_rois(batch_size, width, height, pooled_width, pooled_height, spatial_scale, roi_per_batch):
roi... | 126 | 4,319 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/generate_roll.py | .py | # Copyright (C) 2018-2026 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
#
# round paddle model generator
#
import numpy as np
from save_model import saveModel
import paddle
import sys
data_type = 'float32'
def paddle_roll(name: str, x, shifts, axis=None, shifts_is_var=False):
paddle.enable_static()
... | 55 | 1,850 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/generate_one_hot_v2.py | .py | # Copyright (C) 2018-2026 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
#
# one_hot_v2 paddle model generator
#
import paddle
import numpy as np
from save_model import saveModel
import sys
def one_hot_v2(name: str, x, num_classes, is_tensor):
paddle.enable_static()
with paddle.static.program_guard... | 48 | 1,738 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/generate_sum.py | .py | from __future__ import print_function
import sys
import numpy as np
import paddle
from save_model import saveModel
def sum_(name: str, input):
paddle.enable_static()
with paddle.static.program_guard(paddle.static.Program(), paddle.static.Program()):
data = paddle.static.data('data', shape=input.shape... | 71 | 2,823 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/generate_scatter.py | .py | # Copyright (C) 2018-2026 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
#
# fill_const paddle model generator
#
import numpy as np
from save_model import saveModel
import paddle
import sys
def scatter(name : str, x,index,updates,overwrite=True):
paddle.enable_static()
with paddle.static.program_gua... | 43 | 1,609 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/generate_squeeze.py | .py | # Copyright (C) 2018-2026 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
#
# squeeze paddle model generator
#
import numpy as np
from save_model import saveModel
import paddle
import sys
data_type = 'float32'
def squeeze(name : str, x, axes : list):
paddle.enable_static()
with paddle.static.program... | 44 | 1,299 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/generate_pow.py | .py | # Copyright (C) 2018-2026 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
#
# pow paddle model generator
#
import numpy as np
from save_model import saveModel
import paddle
import sys
def paddle_pow(name : str, x, y, data_type):
paddle.enable_static()
with paddle.static.program_guard(paddle.static.P... | 106 | 3,412 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/generate_generate_proposal_v2.py | .py | #
# pool2d paddle model generator
#
import numpy as np
from save_model import saveModel
import sys
def generate_proposals_v2(name: str, input_data: dict, attr: dict):
scores_np = input_data["scores"]
bbox_deltas_np = input_data["bbox_deltas"]
im_shape_np = input_data["im_shape"]
anchors_np = input_data... | 167 | 6,422 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/generate_cond.py | .py | import os
import sys
import numpy as np
import paddle
from save_model import exportModel
'''
test: simple conditional_block pair + select_input without input to conditional_block.
'''
x = np.full(shape=[1], dtype='float32', fill_value=0.1)
y = np.full(shape=[1], dtype='float32', fill_value=0.23)
data = np.less(y,x)
... | 213 | 7,147 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/generate_flatten_contiguous_range.py | .py | # Copyright (C) 2018-2026 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
#
# generate_flatten_contiguous_range paddle model generator
#
import numpy as np
from save_model import saveModel
import sys
def generate_flatten_contiguous_range(name : str, x, start_axis, stop_axis, in_dtype):
import paddle
p... | 42 | 1,316 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/generate_embedding.py | .py | # Copyright (C) 2018-2026 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
#
# paddle model generator
# for lookup_table_v2
# https://www.paddlepaddle.org.cn/documentation/docs/zh/api/paddle/nn/Embedding_cn.html#embedding
# equal to "gather"
#
import numpy as np
import sys
import paddle
from save_model import ... | 189 | 7,025 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/generate_partial_sum.py | .py | # Copyright (C) 2018-2026 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
#
# partial_sum paddle model generator
#
import numpy as np
import os
from save_model import saveModel
import paddle
import sys
def _get_framework_pb2():
try:
from paddle.fluid.proto import framework_pb2
return fram... | 113 | 3,419 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/generate_abs.py | .py | # Copyright (C) 2018-2026 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
#
# fill_const paddle model generator
#
import numpy as np
from save_model import saveModel
import paddle
import sys
def abs(name : str, x):
paddle.enable_static()
with paddle.static.program_guard(paddle.static.Program(), paddl... | 40 | 1,250 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/generate_clip.py | .py | # Copyright (C) 2018-2026 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
#
# clip paddle model generator
#
import numpy as np
from save_model import saveModel
import sys
def clip(name: str, x, min, max):
import paddle
paddle.enable_static()
with paddle.static.program_guard(paddle.static.Program(... | 46 | 1,226 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/generate_pool2d.py | .py | # Copyright (C) 2018-2026 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
#
# pool2d paddle model generator
#
import numpy as np
import sys
from save_model import saveModel
data_type = "float32"
def pool2d(name: str, x, attrs: dict):
import paddle
paddle.enable_static()
with paddle.static.prog... | 304 | 10,103 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/generate_assign_value.py | .py | # Copyright (C) 2018-2026 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
import numpy as np
from save_model import saveModel
import sys
def paddle_assign_value(name, test_x):
import paddle
paddle.enable_static()
main_program = paddle.static.Program()
startup_program = paddle.static.Program()... | 58 | 1,786 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/generate_interpolate.py | .py | # Copyright (C) 2018-2026 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
import numpy as np
import paddle
from paddle.nn.functional import interpolate
from save_model import saveModel
import sys
def run_and_save_model(input_x, name, feed, fetch_list, main_prog, start_prog):
cpu = paddle.static.cpu_places... | 394 | 16,691 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/generate_assign.py | .py | # Copyright (C) 2018-2026 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
import os
import sys
import numpy as np
import paddle
from save_model import exportModel
'''
assign w/ output
'''
@paddle.jit.to_static
def test_assign_output(array):
result1 = paddle.zeros(shape=[3, 2], dtype='float32')
paddl... | 36 | 938 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/generate_conv2d_combinations.py | .py | # Copyright (C) 2018-2026 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
from save_model import saveModel
import numpy as np
import paddle
import sys
paddle.enable_static()
def run_and_save_model(input_x, name, feed, fetch_list, main_prog, start_prog):
cpu = paddle.static.cpu_places(1)
exe = paddle.... | 149 | 6,924 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/generate_partial_concat.py | .py | # Copyright (C) 2018-2026 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
#
# partial_concat paddle model generator
#
import numpy as np
from save_model import saveModel
import paddle
import sys
def partial_concat(name: str, x, y, start_index=0, length=-1):
paddle.enable_static()
with paddle.static.p... | 67 | 2,068 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/generate_relu.py | .py | # Copyright (C) 2018-2026 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
#
# relu paddle model generator
#
import numpy as np
from save_model import saveModel
import sys
def relu(name: str, x):
import paddle
paddle.enable_static()
node_x = paddle.static.data(name='x', shape=x.shape, dtype='floa... | 42 | 927 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/generate_tile.py | .py | # Copyright (C) 2018-2026 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
#
# tile paddle model generator
#
import numpy as np
from save_model import saveModel
import paddle
import sys
def paddle_tile(name: str, x, repeat_times, to_tensor=False, tensor_list=False):
paddle.enable_static()
with paddle... | 95 | 2,820 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/generate_ceil.py | .py | # Copyright (C) 2018-2026 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
#
# ceil paddle model generator
#
import numpy as np
from save_model import saveModel
import sys
def ceil(name: str, x, dtype="float32"):
import paddle
paddle.enable_static()
with paddle.static.program_guard(paddle.static.P... | 41 | 1,071 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/generate_layer_norm.py | .py | # Copyright (C) 2018-2026 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
#
# layer_norm paddle model generator
#
import numpy as np
from save_model import saveModel
import paddle
import sys
if paddle.__version__ >= '2.6.0':
from paddle.base import param_attr
else:
from paddle.fluid import param_attr
... | 56 | 2,005 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/generate_box_coder.py | .py | import sys
import numpy as np
import paddle
from ops import box_coder
from save_model import exportModel, saveModel
def test_box_coder(name: str, prior_box, prior_box_var, target_box, code_type, box_normalized, axis, dtype):
paddle.enable_static()
is_tensor = not isinstance(prior_box_var, list)
with pad... | 124 | 4,655 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/generate_elementwise_ops.py | .py | # Copyright (C) 2018-2026 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
#
# elementwise paddle model generator
#
import numpy as np
import sys
from save_model import saveModel
import paddle
if paddle.__version__ >= '2.6.0':
import paddle.base as fluid
else:
import paddle.fluid as fluid
def elementw... | 403 | 15,295 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/generate_sqrt.py | .py | #
# sqrt paddle model generator
#
import numpy as np
from save_model import saveModel
import paddle as pdpd
import sys
def sqrt(name: str, x, data_type):
pdpd.enable_static()
with pdpd.static.program_guard(pdpd.static.Program(), pdpd.static.Program()):
node_x = pdpd.static.data(
name='inp... | 42 | 1,048 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/generate_share_data.py | .py | # Copyright (C) 2018-2026 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
#
# share_data paddle model generator
#
import numpy as np
import sys
from save_model import saveModel
def share_data(name : str, x, axis=None, keepdim=False):
import paddle
paddle.enable_static()
with paddle.static.progr... | 42 | 1,072 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/generate_greater_equal.py | .py | # Copyright (C) 2018-2026 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
#
# greater_equal paddle model generator
#
import numpy as np
from save_model import saveModel
import paddle
import sys
def greater_equal(name : str, x, y, data_type, cast_to_fp32=False):
paddle.enable_static()
with paddle.sta... | 67 | 2,052 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/generate_less_than.py | .py | #
# less_than paddle model generator
#
import numpy as np
from save_model import saveModel
import paddle
import sys
def less_than(name: str, x, y, data_type, cast_to_fp32=False):
paddle.enable_static()
with paddle.static.program_guard(paddle.static.Program(), paddle.static.Program()):
node_x = paddle... | 62 | 1,829 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/generate_where_index.py | .py | # Copyright (C) 2018-2026 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
#
# where paddle model generator
#
import numpy as np
from save_model import saveModel
import sys
import paddle
paddle.enable_static()
def where_index(name: str, x, force_boolean=False):
with paddle.static.program_guard(paddle.sta... | 74 | 2,308 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/generate_tril_triu.py | .py | # Copyright (C) 2018-2026 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
#
# tril_triu ops paddle model generator
#
import sys
import numpy as np
import paddle
from save_model import saveModel
def triu(name: str, x, diagonal=0, dtype="float32"):
paddle.enable_static()
x = x.astype(dtype)
with... | 86 | 2,240 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/generate_swish.py | .py | #
# swish paddle model generator
#
import numpy as np
from save_model import saveModel
import paddle
import sys
def swish(name: str, x, data_type):
paddle.enable_static()
with paddle.static.program_guard(paddle.static.Program(), paddle.static.Program()):
node_x = paddle.static.data(
name=... | 49 | 1,332 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/generate_equal.py | .py | # Copyright (C) 2018-2026 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
#
# pool2d paddle model generator
#
import numpy as np
from save_model import saveModel
import sys
def equal(name : str, x, y):
import paddle
paddle.enable_static()
node_x = paddle.static.data(name='x', shape=x.shape, dtyp... | 47 | 1,185 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/generate_expand_v2.py | .py | # Copyright (C) 2018-2026 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
#
# expand_v2 paddle model generator
#
import numpy as np
from save_model import saveModel
import paddle
import sys
data_type = 'float32'
def expand_v2(name: str, x, shape: list):
paddle.enable_static()
with paddle.static.pro... | 168 | 5,980 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/generate_multiclass_nms.py | .py | # Copyright (C) 2018-2026 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
#
# multiclass_nms paddle model generator
#
import os
import numpy as np
import copy # deepcopy
import sys
from nms import NMS
def main(): # multiclass_nms
test_case = [None] * 20
# case multiclass_nms_by_class_id
test_... | 422 | 16,221 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/generate_cumsum.py | .py | # Copyright (C) 2018-2026 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
#
# cumsum paddle model generator
#
import numpy as np
from save_model import saveModel
import paddle
import sys
data_type = 'float32'
def cumsum(name:str, x, axis, dtype=None):
paddle.enable_static()
with paddle.static.progra... | 47 | 1,373 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/generate_sigmoid.py | .py | # Copyright (C) 2018-2026 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
#
# sigmoid paddle model generator
#
import numpy as np
from save_model import saveModel
import paddle
import sys
def sigmoid(name: str, x, data_type):
paddle.enable_static()
with paddle.static.program_guard(paddle.static.Prog... | 46 | 1,263 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/generate_full_like.py | .py | # Copyright (C) 2018-2026 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
#
# full_like paddle model generator
#
import numpy as np
from save_model import saveModel
import paddle
import sys
data_type = 'float32'
def full_like(name:str, x, value, dtype=None):
paddle.enable_static()
with paddle.static... | 53 | 1,669 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/generate_conv2d.py | .py | # Copyright (C) 2018-2026 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
import numpy as np
import os
import sys
from save_model import saveModel
def conv2d(name: str, x, dtype):
import paddle
paddle.enable_static()
with paddle.static.program_guard(paddle.static.Program(), paddle.static.Program(... | 38 | 1,262 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/generate_slice.py | .py | # Copyright (C) 2018-2026 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
#
# slice paddle model generator
#
import sys
import os
import numpy as np
import paddle
from save_model import exportModel
from save_model import saveModel
data_type = 'float32'
def slice(name : str, x, axes : list, start : list, en... | 102 | 3,399 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/generate_take_along_axis.py | .py | # Copyright (C) 2018-2026 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
#
# fill_const paddle model generator
#
import numpy as np
from save_model import saveModel
import paddle
import sys
def take_along_axis(name : str, x,index,axis):
paddle.enable_static()
with paddle.static.program_guard(paddle.... | 39 | 1,319 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/generate_place_test_model.py | .py | # Copyright (C) 2018-2026 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
import paddle
import numpy as np
from save_model import saveModel
import sys
import os
def paddle_rnn_lstm(input_size, hidden_size, layers, direction):
import paddle
paddle.enable_static()
main_program = paddle.static.Progra... | 94 | 4,031 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/generate_bmm.py | .py | # Copyright (C) 2018-2026 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
import numpy as np
from save_model import saveModel
import sys
def paddle_bmm(x1, x2):
import paddle
paddle.enable_static()
node_x1 = paddle.static.data(name='x1', shape=x1.shape, dtype=x1.dtype)
node_x2 = paddle.stati... | 43 | 1,475 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/generate_unsupported_relu.py | .py | # Copyright (C) 2018-2026 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
#
# relu paddle model generator
#
import os.path
import sys
import os
import numpy as np
import paddle
from save_model import saveModel
# print numpy array like C structure
def print_alike(arr):
shape = arr.shape
rank = len(s... | 86 | 2,182 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/generate_reduce_any.py | .py | # Copyright (C) 2018-2026 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
#
# fill_const paddle model generator
#
import numpy as np
from save_model import saveModel
import paddle
import sys
def reduce_any(name : str, x, axis=None, keepdim=False):
paddle.enable_static()
with paddle.static.program_gua... | 46 | 1,755 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/generate_yolo_box.py | .py | # Copyright (C) 2018-2026 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
#
# pool2d paddle model generator
#
import numpy as np
from save_model import saveModel
import sys
def yolo_box(name : str, x, img_size, attrs : dict):
import paddle
paddle.enable_static()
with paddle.static.program_guard(p... | 118 | 4,021 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/generate_dynamic_pool2d.py | .py | # Copyright (C) 2018-2026 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
#
# pool2d paddle dynamic model generator
#
import paddle
import numpy as np
import sys
import os
from save_model import saveModel
if paddle.__version__ >= '2.6.0':
import paddle.base as fluid
else:
from paddle import fluid
pa... | 49 | 1,317 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/generate_scale.py | .py | # Copyright (C) 2018-2026 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
#
# pool2d paddle model generator
#
import numpy as np
import sys
from save_model import saveModel
def paddle_scale(name : str, x, scale, bias, attrs : dict, data_type):
import paddle
paddle.enable_static()
with paddle.sta... | 103 | 3,594 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/generate_prior_box.py | .py | # Copyright (C) 2018-2026 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
#
# prior_box paddle model generator
#
import numpy as np
from save_model import saveModel
import sys
def prior_box(name: str, input_data, image_data, attrs: dict):
import paddle
paddle.enable_static()
with paddle.static.p... | 142 | 5,874 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/generate_range.py | .py | # Copyright (C) 2018-2026 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
#
# range paddle model generator
#
import numpy as np
from save_model import saveModel
import sys
def paddle_range(name : str, x, start, end, step, out_type):
import paddle
paddle.enable_static()
with paddle.static.program... | 52 | 1,622 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/generate_matmul_v2.py | .py | # Copyright (C) 2018-2026 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
import numpy as np
from save_model import saveModel
import sys
def matmul(name, x1, x2, x_transpose=False, y_transpose=False):
import paddle
paddle.enable_static()
with paddle.static.program_guard(paddle.static.Program(), p... | 64 | 2,410 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/generate_multi_tensor_split.py | .py | # Copyright (C) 2018-2026 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
import paddle
import numpy as np
import sys
import os
from save_model import saveModel
if paddle.__version__ >= '2.6.0':
import paddle.base as fluid
else:
from paddle import fluid
def create_multi_output_model():
paddle.en... | 47 | 1,483 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/generate_deformable_conv.py | .py | #
# pool2d paddle model generator
#
import numpy as np
import sys
from save_model import saveModel
# helpers
def pdpd_attr_to_list(s, p, d):
if isinstance(s, int):
strides = [s, ]*2
elif isinstance(s, tuple):
strides = list(s)
elif isinstance(s, list):
strides = s
else:
... | 323 | 11,681 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/generate_greater_than.py | .py | #
# greater_than paddle model generator
#
import numpy as np
from save_model import saveModel
import paddle as pdpd
import sys
def greater_than(name: str, x, y, data_type, cast_to_fp32=False):
pdpd.enable_static()
with pdpd.static.program_guard(pdpd.static.Program(), pdpd.static.Program()):
node_x = ... | 64 | 1,875 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/generate_set_value.py | .py | # Copyright (C) 2018-2026 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
import os
import sys
#
# set_value paddle model generator
#
import numpy as np
import paddle
from save_model import saveModel
maxint32 = np.iinfo(np.int32).max
def _set_attr_ints(op, name, values, framework_pb2):
for attr in op.a... | 340 | 11,010 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/generate_sin.py | .py | # Copyright (C) 2018-2026 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
#
# tanh paddle model generator
#
import numpy as np
from save_model import saveModel
import paddle
import sys
data_type = 'float32'
def sin(name:str, x):
paddle.enable_static()
with paddle.static.program_guard(paddle.static.P... | 41 | 1,050 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/generate_softplus.py | .py | # Copyright (C) 2018-2026 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
#
# softplus paddle model generator
#
import numpy as np
import sys
from save_model import saveModel
def softplus(name: str, x, beta, threshold):
import paddle
paddle.enable_static()
node_x = paddle.static.data(name='x', s... | 47 | 1,210 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/generate_linspace.py | .py | # Copyright (C) 2018-2026 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
#
# linspace paddle model generator
#
import numpy as np
from save_model import saveModel
import paddle
import random
import sys
data_type = "float32"
def linspace(name: str, start, stop, num, type='float32'):
paddle.enable_static... | 59 | 1,899 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/generate_elu.py | .py | # Copyright (C) 2018-2026 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
#
# relu6 paddle model generator
#
import numpy as np
from save_model import saveModel
import paddle
import sys
def elu(name: str, x, alpha=None, data_type='float32'):
paddle.enable_static()
with paddle.static.program_guard(pa... | 45 | 1,261 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/generate_silu.py | .py | #
# silu paddle model generator
#
import numpy as np
from save_model import saveModel
import paddle as pdpd
import sys
def silu(name: str, x, data_type, use_static=True):
pdpd.enable_static()
with pdpd.static.program_guard(pdpd.static.Program(), pdpd.static.Program()):
if use_static:
node... | 65 | 1,969 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/generate_argmax.py | .py | # Copyright (C) 2018-2026 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
#
# pool2d paddle model generator
#
import numpy as np
from save_model import saveModel
import sys
data_type = 'float32'
def paddle_argmax(name : str, x, axis):
import paddle
paddle.enable_static()
with paddle.static.progr... | 64 | 1,970 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/generate_reduce_min.py | .py | # Copyright (C) 2018-2026 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
#
# reduce_min paddle model generator
#
import numpy as np
import sys
from save_model import saveModel
def reduce_min(name : str, x, axis=None, keepdim=False):
import paddle
paddle.enable_static()
with paddle.static.progr... | 47 | 1,475 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/generate_reshape.py | .py | # Copyright (C) 2018-2026 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
#
# reshape paddle model generator
#
import numpy as np
from save_model import saveModel
import sys
data_type = 'float32'
def reshape(name : str, x, out_shape):
import paddle
paddle.enable_static()
with paddle.static.prog... | 88 | 2,791 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/generate_scatter_nd_add.py | .py | # Copyright (C) 2018-2026 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
#
# fill_const paddle model generator
#
import numpy as np
from save_model import saveModel
import paddle
import sys
def scatter_nd_add(name : str, x,index,updates):
paddle.enable_static()
with paddle.static.program_guard(paddl... | 41 | 1,515 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/generate_tanh.py | .py | # Copyright (C) 2018-2026 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
#
# tanh paddle model generator
#
import numpy as np
from save_model import saveModel
import paddle
import sys
data_type = 'float32'
def tanh(name:str, x):
paddle.enable_static()
with paddle.static.program_guard(paddle.static.... | 41 | 1,037 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/generate_meshgrid.py | .py | # Copyright (C) 2018-2026 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
import os
import sys
import numpy as np
import paddle
from save_model import exportModel
def meshgrid():
paddle.disable_static()
@paddle.jit.to_static
def test_model(x, y, z):
return paddle.meshgrid(x, y, z)
... | 26 | 594 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/generate_reduce_sum.py | .py | # Copyright (C) 2018-2026 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
#
# reduce_sum paddle model generator
#
import numpy as np
import sys
from save_model import saveModel
def reduce_sum(name : str, x, axis=None, keepdim=False):
import paddle
paddle.enable_static()
with paddle.static.progr... | 47 | 1,475 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/generate_leaky_relu.py | .py | # Copyright (C) 2018-2026 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
#
# leaky_relu paddle model generator
#
import numpy as np
from save_model import saveModel
import paddle
import sys
def leaky_relu(name: str, x, alpha: float = 0.01, data_type='float32'):
paddle.enable_static()
with paddle.st... | 47 | 1,351 |
openvino | src/frontends/paddle/tests/test_models/gen_scripts/generate_strided_slice.py | .py | # Copyright (C) 2018-2026 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
#
# strided_slice paddle model generator
#
import numpy as np
from save_model import saveModel
import sys
def strided_slice(name: str, input_data, attrs: dict):
import paddle
paddle.enable_static()
with paddle.static.prog... | 156 | 5,525 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.