838a6503a0
* Moved pdpd tests to folder with pdpd frontend * Restored old requirements.txt for paddle temporarily * FIxed requirements path for pdpd * Restore old dependency
526 lines
23 KiB
C++
526 lines
23 KiB
C++
// Copyright (C) 2018-2022 Intel Corporation
|
|
// SPDX-License-Identifier: Apache-2.0
|
|
//
|
|
|
|
#include "op_fuzzy.hpp"
|
|
|
|
#include <cnpy.h>
|
|
|
|
#include <fstream>
|
|
|
|
#include "engines_util/test_engines.hpp"
|
|
#include "ngraph/ngraph.hpp"
|
|
#include "paddle_utils.hpp"
|
|
#include "util/test_control.hpp"
|
|
|
|
using namespace ngraph;
|
|
using namespace InferenceEngine;
|
|
using namespace ngraph;
|
|
using namespace ov::frontend;
|
|
|
|
using PaddleFuzzyOpTest = FrontEndFuzzyOpTest;
|
|
|
|
static const std::vector<std::string> models{
|
|
std::string("argmax"),
|
|
std::string("argmax1"),
|
|
std::string("assign_none/assign_none.pdmodel"),
|
|
std::string("assign_output/assign_output.pdmodel"),
|
|
std::string("assign_value_boolean"),
|
|
std::string("assign_value_fp32"),
|
|
std::string("assign_value_int32"),
|
|
std::string("assign_value_int64"),
|
|
std::string("avgAdaptivePool2D_test1"),
|
|
std::string("avgPool_test1"),
|
|
std::string("avgPool_test10"),
|
|
std::string("avgPool_test11"),
|
|
std::string("avgPool_test2"),
|
|
std::string("avgPool_test3"),
|
|
std::string("avgPool_test4"),
|
|
std::string("avgPool_test5"),
|
|
// avgPool_test6<nchw support is disabled now>,
|
|
std::string("avgPool_test7"),
|
|
std::string("avgPool_test8"),
|
|
std::string("avgPool_test9"),
|
|
std::string("batch_norm_nchw"),
|
|
std::string("batch_norm_nhwc"),
|
|
std::string("bicubic_downsample_false_0"),
|
|
std::string("bicubic_downsample_false_1"),
|
|
std::string("bicubic_downsample_true_0"),
|
|
std::string("bicubic_upsample_false_0"),
|
|
std::string("bicubic_upsample_false_1"),
|
|
std::string("bicubic_upsample_scales"),
|
|
std::string("bicubic_upsample_scales2"),
|
|
std::string("bicubic_upsample_true_0"),
|
|
std::string("bilinear_downsample_false_0"),
|
|
std::string("bilinear_downsample_false_1"),
|
|
std::string("bilinear_downsample_true_0"),
|
|
std::string("bilinear_upsample_false_0"),
|
|
std::string("bilinear_upsample_false_1"),
|
|
std::string("bilinear_upsample_scales"),
|
|
std::string("bilinear_upsample_scales2"),
|
|
std::string("bilinear_upsample_true_0"),
|
|
std::string("bmm"),
|
|
std::string("ceil"),
|
|
std::string("clip"),
|
|
// 95436: sporadic failure
|
|
// // could not support dynamic rank
|
|
// // std::string("conditional_block_const/conditional_block_const.pdmodel"),
|
|
// // std::string("conditional_block_const_2outputs/conditional_block_const_2outputs.pdmodel"),
|
|
// std::string("conditional_block_2inputs/conditional_block_2inputs.pdmodel"),
|
|
// std::string("conditional_block_2inputs_2outputs/conditional_block_2inputs_2outputs.pdmodel"),
|
|
// std::string("conditional_block_2inputs_dyn/conditional_block_2inputs_dyn.pdmodel"),
|
|
// std::string("conditional_block_2inputs_dyn_2outputs/conditional_block_2inputs_dyn_2outputs.pdmodel"),
|
|
// std::string("conditional_block_dyn_multiple_consumers/conditional_block_dyn_multiple_consumers.pdmodel"),
|
|
// std::string("conditional_block_dyn_multiple_blocks/conditional_block_dyn_multiple_blocks.pdmodel"),
|
|
// std::string("conditional_block_dyn_multiple_blocks2/conditional_block_dyn_multiple_blocks2.pdmodel"),
|
|
// // TensorArray case
|
|
// std::string("conditional_block_concat/conditional_block_concat.pdmodel"),
|
|
// std::string("conditional_block_concat_dyn/conditional_block_concat_dyn.pdmodel"),
|
|
// std::string("conditional_block_concat_dyn_2axes/conditional_block_concat_dyn_2axes.pdmodel"),
|
|
// std::string("conditional_block_conditional_block_concat/conditional_block_conditional_block_concat.pdmodel"),
|
|
// std::string(
|
|
// "conditional_block_conditional_block_concat_dyn/conditional_block_conditional_block_concat_dyn.pdmodel"),
|
|
// std::string("conditional_block_slice0/conditional_block_slice0.pdmodel"),
|
|
// std::string("conditional_block_slice0_dyn/conditional_block_slice0_dyn.pdmodel"),
|
|
// std::string("conditional_block_slice0_else/conditional_block_slice0_else.pdmodel"),
|
|
// std::string("conditional_block_slice0_scaler/conditional_block_slice0_scaler.pdmodel"),
|
|
// std::string("conditional_block_slice0_scaler_dyn/conditional_block_slice0_scaler_dyn.pdmodel"),
|
|
// // std::string("conditional_block_slice0_axis2/conditional_block_slice0_axis2.pdmodel"), // No such case in
|
|
// model,
|
|
// // as paddle.concat always concat along axis 0.
|
|
// // std::string("conditional_block_slice0_axis2_dyn/conditional_block_slice0_axis2_dyn.pdmodel"),
|
|
// // std::string("conditional_block_slice0_axis1_axis2/conditional_block_slice0_axis1_axis2.pdmodel"),
|
|
// // std::string("conditional_block_slice0_axis1_axis2_dyn/conditional_block_slice0_axis1_axis2_dyn.pdmodel"),
|
|
// std::string("conditional_block_concat_false/conditional_block_concat_false.pdmodel"),
|
|
// std::string("conditional_block_concat_false_dyn/conditional_block_concat_false_dyn.pdmodel"),
|
|
// std::string("conditional_block_slice0_2tensorarrays/conditional_block_slice0_2tensorarrays.pdmodel"),
|
|
// std::string("conditional_block_slice0_2tensorarrays_dyn/conditional_block_slice0_2tensorarrays_dyn.pdmodel"),
|
|
// std::string("conditional_block_slice0_2tensorarrays_extra/conditional_block_slice0_2tensorarrays_extra.pdmodel"),
|
|
// std::string(
|
|
// "conditional_block_slice0_2tensorarrays_extra_dyn/conditional_block_slice0_2tensorarrays_extra_dyn.pdmodel"),
|
|
std::string("conv2d_dilation_assymetric_pads_strides"),
|
|
std::string("conv2d_SAME_padding"),
|
|
std::string("conv2d_strides_assymetric_padding"),
|
|
std::string("conv2d_strides_no_padding"),
|
|
std::string("conv2d_strides_padding"),
|
|
std::string("conv2d_transpose_dilation_assymetric_pads_strides"),
|
|
// conv2d_transpose_SAME_padding(Paddle outputs wrong results),
|
|
std::string("conv2d_transpose_strides_assymetric_padding"),
|
|
std::string("conv2d_transpose_strides_no_padding"),
|
|
std::string("conv2d_transpose_strides_padding"),
|
|
std::string("conv2d_transpose_VALID_padding"),
|
|
std::string("conv2d_VALID_padding"),
|
|
std::string("cumsum"),
|
|
std::string("cumsum_i32"),
|
|
std::string("cumsum_i64"),
|
|
std::string("cumsum_f32"),
|
|
std::string("cumsum_f64"),
|
|
std::string("deformable_conv_default"),
|
|
std::string("deformable_conv_with_bias"),
|
|
std::string("deformable_conv_with_deformable_groups"),
|
|
std::string("deformable_conv_with_dilation"),
|
|
std::string("deformable_conv_with_dilation_list"),
|
|
std::string("deformable_conv_with_dilation_tuple"),
|
|
std::string("deformable_conv_with_groups"),
|
|
// (CVS-86585: about e-5 level accuracy diff)
|
|
// std::string("deformable_conv_with_mask"),
|
|
// std::string("deformable_conv_with_mask_bias"),
|
|
std::string("deformable_conv_with_pad"),
|
|
std::string("deformable_conv_with_pad_list"),
|
|
std::string("deformable_conv_with_pad_tuple"),
|
|
std::string("deformable_conv_with_stride"),
|
|
std::string("deformable_conv_with_stride_list"),
|
|
std::string("deformable_conv_with_stride_tuple"),
|
|
std::string("depthwise_conv2d_convolution"),
|
|
std::string("depthwise_conv2d_transpose_convolution"),
|
|
std::string("dropout"),
|
|
std::string("dropout_upscale_in_train"),
|
|
std::string("elementwise_add1"),
|
|
std::string("elementwise_div1"),
|
|
std::string("elementwise_max1"),
|
|
std::string("elementwise_min1"),
|
|
std::string("elementwise_mod1"),
|
|
std::string("elementwise_mul1"),
|
|
std::string("elementwise_pow1"),
|
|
std::string("elementwise_sub1"),
|
|
std::string("elementwise_add2"),
|
|
std::string("elementwise_div2"),
|
|
std::string("elementwise_max2"),
|
|
std::string("elementwise_min2"),
|
|
std::string("elementwise_mod2"),
|
|
std::string("elementwise_mul2"),
|
|
std::string("elementwise_pow2"),
|
|
std::string("elementwise_sub2"),
|
|
std::string("elementwise_add3"),
|
|
std::string("elementwise_div3"),
|
|
std::string("elementwise_max3"),
|
|
std::string("elementwise_min3"),
|
|
std::string("elementwise_mod3"),
|
|
std::string("elementwise_mul3"),
|
|
std::string("elementwise_pow3"),
|
|
std::string("elementwise_sub3"),
|
|
std::string("elementwise_add4"),
|
|
std::string("elementwise_div4"),
|
|
std::string("elementwise_max4"),
|
|
std::string("elementwise_min4"),
|
|
std::string("elementwise_mod4"),
|
|
std::string("elementwise_mul4"),
|
|
std::string("elementwise_pow4"),
|
|
std::string("elementwise_sub4"),
|
|
std::string("elementwise_floordiv_int32_1"),
|
|
std::string("elementwise_floordiv_int32_2"),
|
|
std::string("elementwise_floordiv_int32_3"),
|
|
std::string("elementwise_floordiv_int64_1"),
|
|
std::string("elementwise_floordiv_int64_2"),
|
|
std::string("elementwise_floordiv_int64_3"),
|
|
std::string("embedding_0"),
|
|
std::string("embedding_sparse"),
|
|
std::string("embedding_none_weight"),
|
|
std::string("embedding_paddings"),
|
|
std::string("embedding_paddings_neg1"),
|
|
std::string("embedding_tensorIds"),
|
|
std::string("embedding_tensorIds_paddings"),
|
|
std::string("equal"),
|
|
std::string("expand_v2"),
|
|
std::string("expand_v2_tensor"),
|
|
std::string("expand_v2_tensor_list"),
|
|
std::string("expand_v2_tensor_list2"),
|
|
std::string("exp_test_float32"),
|
|
std::string("fill_any_like"),
|
|
std::string("fill_any_like_f16"),
|
|
std::string("fill_any_like_f32"),
|
|
std::string("fill_any_like_f64"),
|
|
std::string("fill_any_like_i32"),
|
|
std::string("fill_any_like_i64"),
|
|
std::string("fill_constant"),
|
|
std::string("fill_constant_batch_size_like"),
|
|
std::string("fill_constant_int32"),
|
|
std::string("fill_constant_int64"),
|
|
std::string("fill_constant_tensor"),
|
|
std::string("fill_constant_shape_tensor"),
|
|
std::string("fill_constant_shape_tensor_list"),
|
|
std::string("flatten_contiguous_range_test1"),
|
|
std::string("floor_float32"),
|
|
std::string("floor_mod1"),
|
|
std::string("floor_mod2"),
|
|
std::string("gather_multi_dimension"),
|
|
std::string("gather_one_dimension"),
|
|
std::string("gather_one_dimension2"),
|
|
// gather_axis_input
|
|
// (CVS-82724: not support Axis as input),
|
|
std::string("gather_nd_float32"),
|
|
std::string("gather_nd_int64"),
|
|
std::string("gather_nd_int32"),
|
|
// Not support indices zero rank
|
|
// std::string("gather_nd_empty"),
|
|
std::string("gather_nd_low_index"),
|
|
std::string("gather_nd_high_rank1"),
|
|
std::string("gather_nd_high_rank2"),
|
|
std::string("gelu_erf"),
|
|
std::string("gelu_tanh"),
|
|
std::string("generate_proposals_v2_0"),
|
|
std::string("generate_proposals_v2_1"),
|
|
std::string("generate_proposals_v2_2"),
|
|
std::string("generate_proposals_v2_3"),
|
|
std::string("generate_proposals_v2_4"),
|
|
std::string("generate_proposals_v2_5"),
|
|
std::string("generate_proposals_v2_6"),
|
|
// greater_equal_big_int64(failure due to CPU inference),
|
|
std::string("greater_equal_big_int64"),
|
|
std::string("greater_equal_float32"),
|
|
std::string("greater_equal_int32"),
|
|
std::string("greater_equal_int64"),
|
|
std::string("greater_than_float32"),
|
|
std::string("greater_than_int32"),
|
|
std::string("greater_than_int64"),
|
|
std::string("group_norm_1"),
|
|
std::string("group_norm_2"),
|
|
std::string("group_norm_3"),
|
|
std::string("hard_sigmoid"),
|
|
std::string("hard_swish"),
|
|
std::string("layer_norm"),
|
|
std::string("layer_norm_noall"),
|
|
std::string("layer_norm_noscale"),
|
|
std::string("layer_norm_noshift"),
|
|
std::string("leaky_relu"),
|
|
std::string("less_than_float32"),
|
|
std::string("less_than_int32"),
|
|
std::string("less_than_int64"),
|
|
std::string("linear_downsample_false_0"),
|
|
std::string("linear_downsample_false_1"),
|
|
std::string("linear_downsample_true_0"),
|
|
std::string("linear_upsample_false_0"),
|
|
std::string("linear_upsample_false_1"),
|
|
std::string("linear_upsample_scales"),
|
|
std::string("linear_upsample_scales2"),
|
|
std::string("linear_upsample_true_0"),
|
|
std::string("log"),
|
|
std::string("logical_and"),
|
|
std::string("logical_not"),
|
|
std::string("logical_or"),
|
|
std::string("logical_xor"),
|
|
// 95436: sporadic failure
|
|
// std::string("loop/loop.pdmodel"),
|
|
// std::string("loop_dyn/loop_dyn.pdmodel"),
|
|
// std::string("loop_dyn_x/loop_dyn_x.pdmodel"),
|
|
// std::string("loop_if/loop_if.pdmodel"),
|
|
// std::string("loop_if_loop/loop_if_loop.pdmodel"),
|
|
// std::string("loop_if_loop_if/loop_if_loop_if.pdmodel"),
|
|
// std::string("loop_if_loop_complex/loop_if_loop_complex.pdmodel"),
|
|
// // disabed due to slice could not produce full dynamic shape
|
|
// // std::string("loop_if_tensor_array/loop_if_tensor_array.pdmodel"),
|
|
// std::string("loop_t/loop_t.pdmodel"),
|
|
// std::string("loop_tensor_array/loop_tensor_array.pdmodel"),
|
|
// std::string("loop_x/loop_x.pdmodel"),
|
|
std::string("matmul_xt"),
|
|
std::string("matmul_xt_yt"),
|
|
std::string("matmul_yt"),
|
|
std::string("matmul_v2_1dx1d"),
|
|
std::string("matmul_v2_1dx2d"),
|
|
std::string("matmul_v2_2dx1d"),
|
|
std::string("matmul_v2_ndxmd"),
|
|
std::string("matmul_v2_xt"),
|
|
std::string("matmul_v2_xt_yt"),
|
|
std::string("matmul_v2_yt"),
|
|
std::string("matrix_nms_by_background"),
|
|
std::string("matrix_nms_by_keep_top_k"),
|
|
std::string("matrix_nms_by_nms_top_k"),
|
|
std::string("matrix_nms_by_post_threshold"),
|
|
std::string("matrix_nms_flipped_coordinates"),
|
|
std::string("matrix_nms_gaussian"),
|
|
std::string("matrix_nms_gaussian_sigma"),
|
|
std::string("matrix_nms_identical_boxes"),
|
|
std::string("matrix_nms_not_normalized"),
|
|
std::string("matrix_nms_not_return_indexed"),
|
|
std::string("matrix_nms_not_return_rois_num"),
|
|
std::string("matrix_nms_not_return_rois_num_neither_index"),
|
|
std::string("matrix_nms_one_batch"),
|
|
std::string("matrix_nms_single_box"),
|
|
std::string("matrix_nms_two_batches_two_classes"),
|
|
// std::string("matrix_nms_normalized_random"),
|
|
// std::string("matrix_nms_not_normalized_random"),
|
|
std::string("maxAdaptivePool2D_test1"),
|
|
std::string("maxPool_test1"),
|
|
std::string("maxPool_test10"),
|
|
std::string("maxPool_test11"),
|
|
std::string("maxPool_test2"),
|
|
std::string("maxPool_test3"),
|
|
std::string("maxPool_test4"),
|
|
std::string("maxPool_test5"),
|
|
// maxPool_test6(nchw support is disabled now),
|
|
std::string("maxPool_test7"),
|
|
std::string("maxPool_test8"),
|
|
std::string("maxPool_test9"),
|
|
std::string("meshgrid/meshgrid.pdmodel"),
|
|
std::string("multiclass_nms_by_background"),
|
|
std::string("multiclass_nms_by_class_id"),
|
|
std::string("multiclass_nms_by_IOU"),
|
|
std::string("multiclass_nms_by_IOU_and_scores"),
|
|
std::string("multiclass_nms_by_keep_top_k"),
|
|
std::string("multiclass_nms_by_nms_eta"),
|
|
std::string("multiclass_nms_by_nms_top_k"),
|
|
std::string("multiclass_nms_flipped_coordinates"),
|
|
std::string("multiclass_nms_identical_boxes"),
|
|
// default
|
|
std::string("multiclass_nms_lod_roisnum_multiple_images_default"),
|
|
std::string("multiclass_nms_lod_roisnum_multiple_images_0_default"),
|
|
std::string("multiclass_nms_lod_roisnum_single_image_default"),
|
|
// background
|
|
std::string("multiclass_nms_lod_roisnum_multiple_images_background"),
|
|
std::string("multiclass_nms_lod_roisnum_multiple_images_0_background"),
|
|
std::string("multiclass_nms_lod_roisnum_single_image_background"),
|
|
// score_threshold
|
|
std::string("multiclass_nms_lod_roisnum_multiple_images_score_threshold"),
|
|
std::string("multiclass_nms_lod_roisnum_multiple_images_0_score_threshold"),
|
|
std::string("multiclass_nms_lod_roisnum_single_image_score_threshold"),
|
|
// nms_top_k
|
|
std::string("multiclass_nms_lod_roisnum_multiple_images_nms_top_k"),
|
|
std::string("multiclass_nms_lod_roisnum_multiple_images_0_nms_top_k"),
|
|
std::string("multiclass_nms_lod_roisnum_single_image_nms_top_k"),
|
|
// keep_top_k
|
|
std::string("multiclass_nms_lod_roisnum_multiple_images_keep_top_k"),
|
|
std::string("multiclass_nms_lod_roisnum_multiple_images_0_keep_top_k"),
|
|
std::string("multiclass_nms_lod_roisnum_single_image_keep_top_k"),
|
|
// normalized
|
|
std::string("multiclass_nms_lod_roisnum_multiple_images_normalized"),
|
|
std::string("multiclass_nms_lod_roisnum_multiple_images_0_normalized"),
|
|
std::string("multiclass_nms_lod_roisnum_single_image_normalized"),
|
|
std::string("multiclass_nms_not_normalized"),
|
|
std::string("multiclass_nms_not_return_indexed"),
|
|
std::string("multiclass_nms_single_box"),
|
|
std::string("multiclass_nms_two_batches_two_classes_by_class_id"),
|
|
// std::string("multiclass_nms_normalized_random"),
|
|
// std::string("multiclass_nms_not_normalized_random"),
|
|
std::string("nearest_downsample_false_0"),
|
|
std::string("nearest_downsample_false_1"),
|
|
std::string("nearest_upsample_false_0"),
|
|
std::string("nearest_upsample_false_1"),
|
|
std::string("p_norm1"),
|
|
std::string("p_norm2"),
|
|
std::string("p_norm3"),
|
|
std::string("p_norm4"),
|
|
std::string("p_norm5"),
|
|
std::string("p_norm6"),
|
|
std::string("p_norm7"),
|
|
std::string("p_norm8"),
|
|
std::string("pad3d_test1"),
|
|
std::string("pad3d_test2"),
|
|
std::string("pad3d_test3"),
|
|
// pad3d_test4,
|
|
std::string("pow_float32"),
|
|
std::string("pow_int32"),
|
|
std::string("pow_int64"),
|
|
// pow_int64_out_of_range(out of range of OV int64),
|
|
std::string("pow_y_tensor"),
|
|
std::string("prior_box_attrs_mmar_order_true"),
|
|
std::string("prior_box_default"),
|
|
std::string("prior_box_flip_clip_false"),
|
|
std::string("prior_box_max_sizes_none"),
|
|
std::string("range0"),
|
|
std::string("range1"),
|
|
std::string("range2"),
|
|
std::string("reduce_max_test_0"),
|
|
std::string("reduce_max_test_1"),
|
|
std::string("reduce_max_test_2"),
|
|
std::string("reduce_max_test_3"),
|
|
std::string("reduce_max_test_4"),
|
|
std::string("reduce_max_test_5"),
|
|
std::string("reduce_mean_test_0"),
|
|
std::string("reduce_mean_test_1"),
|
|
std::string("reduce_mean_test_2"),
|
|
std::string("reduce_mean_test_3"),
|
|
std::string("reduce_mean_test_4"),
|
|
std::string("reduce_mean_test_5"),
|
|
std::string("reduce_min_test_0"),
|
|
std::string("reduce_min_test_1"),
|
|
std::string("reduce_min_test_2"),
|
|
std::string("reduce_min_test_3"),
|
|
std::string("reduce_min_test_4"),
|
|
std::string("reduce_min_test_5"),
|
|
std::string("reduce_prod_test_0"),
|
|
std::string("reduce_prod_test_1"),
|
|
std::string("reduce_prod_test_2"),
|
|
std::string("reduce_prod_test_3"),
|
|
std::string("reduce_prod_test_4"),
|
|
std::string("reduce_prod_test_5"),
|
|
std::string("reduce_sum_test_0"),
|
|
std::string("reduce_sum_test_1"),
|
|
std::string("reduce_sum_test_2"),
|
|
std::string("reduce_sum_test_3"),
|
|
std::string("reduce_sum_test_4"),
|
|
std::string("reduce_sum_test_5"),
|
|
std::string("relu"),
|
|
std::string("relu6"),
|
|
std::string("relu6_1"),
|
|
std::string("reshape"),
|
|
std::string("reshape_tensor"),
|
|
std::string("reshape_tensor_list"),
|
|
std::string("rnn_lstm_layer_1_bidirectional"),
|
|
std::string("rnn_lstm_layer_1_forward"),
|
|
std::string("rnn_lstm_layer_2_bidirectional"),
|
|
std::string("rnn_lstm_layer_2_forward"),
|
|
std::string("rnn_lstm_layer_1_forward_seq_len_4"),
|
|
std::string("rnn_lstm_layer_2_bidirectional_seq_len_4"),
|
|
std::string("roi_align_test"),
|
|
std::string("roi_align_test2"),
|
|
std::string("scale_bias_after_float32"),
|
|
std::string("scale_bias_after_int32"),
|
|
std::string("scale_bias_after_int64"),
|
|
std::string("scale_bias_before_float32"),
|
|
std::string("scale_bias_before_int32"),
|
|
std::string("scale_bias_before_int64"),
|
|
std::string("scale_tensor_bias_after"),
|
|
std::string("scale_tensor_bias_before"),
|
|
std::string("shape"),
|
|
std::string("sigmoid"),
|
|
std::string("slice"),
|
|
std::string("slice_1d"),
|
|
std::string("slice_decrease_axis/slice_decrease_axis.pdmodel"),
|
|
std::string("slice_decrease_axis_all/slice_decrease_axis_all.pdmodel"),
|
|
std::string("slice_reshape/slice_reshape.pdmodel"),
|
|
std::string("softmax"),
|
|
std::string("softmax_minus"),
|
|
std::string("softplus_default_params"),
|
|
std::string("split_test1"),
|
|
std::string("split_test2"),
|
|
std::string("split_test3"),
|
|
std::string("split_test4"),
|
|
std::string("split_test5"),
|
|
std::string("split_test6"),
|
|
std::string("split_test_dim_int32"),
|
|
std::string("split_test_dim_int64"),
|
|
std::string("split_test_list"),
|
|
std::string("split_test_list_tensor"),
|
|
std::string("sqrt_float32"),
|
|
std::string("squeeze"),
|
|
std::string("squeeze_null_axes"),
|
|
std::string("stack_test_float32"),
|
|
std::string("stack_test_int32"),
|
|
std::string("stack_test_neg_axis"),
|
|
std::string("stack_test_none_axis"),
|
|
std::string("strided_slice_input1_1"),
|
|
std::string("strided_slice_input1_2"),
|
|
std::string("strided_slice_input1_3"),
|
|
std::string("strided_slice_input1_4"),
|
|
std::string("strided_slice_input2_1"),
|
|
std::string("strided_slice_input2_2"),
|
|
std::string("strided_slice_input2_3"),
|
|
std::string("strided_slice_input3_1"),
|
|
std::string("strided_slice_input3_2"),
|
|
std::string("sum_1"),
|
|
std::string("sum_2"),
|
|
std::string("sum_3"),
|
|
std::string("sum_4"),
|
|
std::string("swish_default_params"),
|
|
std::string("swish_beta"),
|
|
std::string("tanh"),
|
|
std::string("tile_repeat_times_tensor"),
|
|
std::string("tile_list_float32"),
|
|
std::string("tile_list_int32"),
|
|
std::string("tile_list_int64"),
|
|
std::string("tile_list_bool"),
|
|
std::string("tile_tuple_float32"),
|
|
std::string("tile_tuple_int32"),
|
|
std::string("tile_tuple_int64"),
|
|
std::string("tile_tuple_bool"),
|
|
std::string("tile_tensor_list"),
|
|
std::string("tile_repeat_gt_x"),
|
|
std::string("tile_repeat_lt_x"),
|
|
std::string("top_k_v2_test_1"),
|
|
std::string("top_k_v2_test_2"),
|
|
std::string("top_k_v2_test_3"),
|
|
std::string("top_k_v2_test_4"),
|
|
std::string("top_k_v2_test_5"),
|
|
std::string("top_k_v2_test_6"),
|
|
std::string("trilinear_downsample_false_0"),
|
|
std::string("trilinear_downsample_false_1"),
|
|
std::string("trilinear_downsample_true_0"),
|
|
std::string("trilinear_upsample_false_0"),
|
|
std::string("trilinear_upsample_false_1"),
|
|
std::string("trilinear_upsample_scales"),
|
|
std::string("trilinear_upsample_scales2"),
|
|
std::string("trilinear_upsample_true_0"),
|
|
std::string("unsqueeze"),
|
|
std::string("where_1"),
|
|
std::string("where_2"),
|
|
std::string("where_3"),
|
|
std::string("where_index_1"),
|
|
std::string("where_index_2"),
|
|
std::string("where_index_3"),
|
|
std::string("where_index_4"),
|
|
std::string("where_index_5"),
|
|
std::string("where_index_6"),
|
|
// Temporily disable them until root caused to secure CI stable.
|
|
// CVS-66703 to track this.
|
|
// std::string("yolo_box_clip_box"),
|
|
// std::string("yolo_box_default"),
|
|
// std::string("yolo_box_scale_xy"),
|
|
std::string("yolo_box_uneven_wh")};
|
|
|
|
INSTANTIATE_TEST_SUITE_P(PaddleFuzzyOpTest,
|
|
FrontEndFuzzyOpTest,
|
|
::testing::Combine(::testing::Values(PADDLE_FE),
|
|
::testing::Values(std::string(TEST_PADDLE_MODELS_DIRNAME)),
|
|
::testing::ValuesIn(models)),
|
|
PaddleFuzzyOpTest::getTestCaseName);
|