cecilia peng
8ce8697830
* [paddlepaddle] embedding test case generator. * [FrontEnd][PaddlePaddle] add op convert embedding for lookup_table_v2. * code clean.
210 lines
15 KiB
C++
210 lines
15 KiB
C++
// Copyright (C) 2018-2021 Intel Corporation
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// SPDX-License-Identifier: Apache-2.0
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//
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#include "op_fuzzy.hpp"
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#include <cnpy.h>
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#include <fstream>
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#include "ngraph/ngraph.hpp"
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#include "paddle_utils.hpp"
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#include "util/engine/test_engines.hpp"
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#include "util/test_control.hpp"
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using namespace ngraph;
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using namespace InferenceEngine;
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using namespace ngraph;
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using namespace ngraph::frontend;
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using TestEngine = test::IE_CPU_Engine;
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using PDPDFuzzyOpTest = FrontEndFuzzyOpTest;
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static const std::vector<std::string> models{std::string("argmax"),
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std::string("argmax1"),
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std::string("assign_value_boolean"),
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std::string("assign_value_fp32"),
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std::string("assign_value_int32"),
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std::string("assign_value_int64"),
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std::string("avgAdaptivePool2D_test1"),
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std::string("avgPool_test1"),
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std::string("avgPool_test10"),
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std::string("avgPool_test11"),
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std::string("avgPool_test2"),
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std::string("avgPool_test3"),
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std::string("avgPool_test4"),
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std::string("avgPool_test5"),
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// avgPool_test6<nchw support is disabled now>,
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std::string("avgPool_test7"),
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std::string("avgPool_test8"),
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std::string("avgPool_test9"),
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std::string("batch_norm_nchw"),
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std::string("batch_norm_nhwc"),
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std::string("bilinear_downsample_false_0"),
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std::string("bilinear_downsample_false_1"),
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std::string("bilinear_downsample_true_0"),
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std::string("bilinear_upsample_false_0"),
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std::string("bilinear_upsample_false_1"),
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std::string("bilinear_upsample_scales"),
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std::string("bilinear_upsample_scales2"),
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std::string("bilinear_upsample_true_0"),
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std::string("bmm"),
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std::string("clip"),
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std::string("conv2d_dilation_assymetric_pads_strides"),
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std::string("conv2d_SAME_padding"),
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std::string("conv2d_strides_assymetric_padding"),
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std::string("conv2d_strides_no_padding"),
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std::string("conv2d_strides_padding"),
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std::string("conv2d_transpose_dilation_assymetric_pads_strides"),
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// conv2d_transpose_SAME_padding(PDPD outputs wrong results),
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std::string("conv2d_transpose_strides_assymetric_padding"),
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std::string("conv2d_transpose_strides_no_padding"),
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std::string("conv2d_transpose_strides_padding"),
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std::string("conv2d_transpose_VALID_padding"),
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std::string("conv2d_VALID_padding"),
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std::string("cumsum"),
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std::string("cumsum_i32"),
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std::string("cumsum_i64"),
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std::string("cumsum_f32"),
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std::string("cumsum_f64"),
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std::string("depthwise_conv2d_convolution"),
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std::string("depthwise_conv2d_transpose_convolution"),
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std::string("dropout"),
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std::string("dropout_upscale_in_train"),
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std::string("elementwise_add1"),
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std::string("elementwise_div1"),
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std::string("elementwise_max1"),
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std::string("elementwise_min1"),
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std::string("elementwise_mul1"),
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std::string("elementwise_pow1"),
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std::string("elementwise_sub1"),
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std::string("embedding_0"),
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std::string("embedding_sparse"),
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std::string("embedding_none_weight"),
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std::string("embedding_paddings"),
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std::string("embedding_paddings_neg1"),
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std::string("embedding_tensorIds"),
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std::string("embedding_tensorIds_paddings"),
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std::string("equal"),
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std::string("expand_v2"),
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std::string("expand_v2_tensor"),
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std::string("expand_v2_tensor_list"),
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std::string("fill_any_like"),
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std::string("fill_any_like_f16"),
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std::string("fill_any_like_f32"),
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std::string("fill_any_like_f64"),
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std::string("fill_any_like_i32"),
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std::string("fill_any_like_i64"),
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std::string("fill_constant"),
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std::string("fill_constant_batch_size_like"),
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std::string("fill_constant_int32"),
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std::string("fill_constant_int64"),
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std::string("fill_constant_tensor"),
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std::string("fill_constant_shape_tensor"),
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std::string("fill_constant_shape_tensor_list"),
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std::string("flatten_contiguous_range_test1"),
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std::string("gelu_erf"),
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std::string("gelu_tanh"),
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// greater_equal_big_int64(failure due to CPU inference),
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std::string("greater_equal_float32"),
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std::string("greater_equal_int32"),
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std::string("greater_equal_int64"),
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std::string("hard_sigmoid"),
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std::string("hard_swish"),
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std::string("layer_norm"),
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std::string("layer_norm_noall"),
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std::string("layer_norm_noscale"),
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std::string("layer_norm_noshift"),
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std::string("leaky_relu"),
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std::string("log"),
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std::string("logical_not"),
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std::string("matmul_xt"),
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std::string("matmul_xt_yt"),
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std::string("matmul_yt"),
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std::string("matmul_v2_1dx1d"),
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std::string("matmul_v2_1dx2d"),
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std::string("matmul_v2_2dx1d"),
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std::string("matmul_v2_ndxmd"),
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std::string("matmul_v2_xt"),
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std::string("matmul_v2_xt_yt"),
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std::string("matmul_v2_yt"),
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std::string("maxAdaptivePool2D_test1"),
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std::string("maxPool_test1"),
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std::string("maxPool_test10"),
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std::string("maxPool_test11"),
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std::string("maxPool_test2"),
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std::string("maxPool_test3"),
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std::string("maxPool_test4"),
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std::string("maxPool_test5"),
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// maxPool_test6(nchw support is disabled now),
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std::string("maxPool_test7"),
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std::string("maxPool_test8"),
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std::string("maxPool_test9"),
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std::string("mul_fp32"),
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std::string("nearest_downsample_false_0"),
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std::string("nearest_downsample_false_1"),
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std::string("nearest_upsample_false_0"),
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std::string("nearest_upsample_false_1"),
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std::string("pad3d_test1"),
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std::string("pad3d_test2"),
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std::string("pad3d_test3"),
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// pad3d_test4,
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std::string("pow_float32"),
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std::string("pow_int32"),
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std::string("pow_int64"),
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// pow_int64_out_of_range(out of range of OV int64),
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std::string("pow_y_tensor"),
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std::string("range0"),
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std::string("range1"),
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std::string("range2"),
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std::string("relu"),
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std::string("relu6"),
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std::string("relu6_1"),
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std::string("reshape"),
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std::string("reshape_tensor"),
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std::string("reshape_tensor_list"),
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std::string("rnn_lstm_layer_1_bidirectional"),
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std::string("rnn_lstm_layer_1_forward"),
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std::string("rnn_lstm_layer_2_bidirectional"),
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std::string("rnn_lstm_layer_2_forward"),
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std::string("scale_bias_after_float32"),
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std::string("scale_bias_after_int32"),
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std::string("scale_bias_after_int64"),
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std::string("scale_bias_before_float32"),
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std::string("scale_bias_before_int32"),
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std::string("scale_bias_before_int64"),
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std::string("scale_tensor_bias_after"),
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std::string("scale_tensor_bias_before"),
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std::string("shape"),
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std::string("sigmoid"),
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std::string("slice"),
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std::string("slice_1d"),
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std::string("softmax"),
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std::string("softmax_minus"),
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std::string("split_test1"),
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std::string("split_test2"),
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std::string("split_test3"),
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std::string("split_test4"),
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std::string("split_test5"),
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std::string("split_test6"),
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std::string("split_test_dim_int32"),
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std::string("split_test_dim_int64"),
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std::string("split_test_list"),
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std::string("split_test_list_tensor"),
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std::string("squeeze"),
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std::string("squeeze_null_axes"),
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std::string("tanh"),
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std::string("unsqueeze"),
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std::string("yolo_box_clip_box"),
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std::string("yolo_box_default"),
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std::string("yolo_box_scale_xy"),
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std::string("yolo_box_uneven_wh")};
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INSTANTIATE_TEST_SUITE_P(PDPDFuzzyOpTest,
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FrontEndFuzzyOpTest,
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::testing::Combine(::testing::Values(PADDLE_FE),
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::testing::Values(std::string(TEST_PADDLE_MODELS_DIRNAME)),
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::testing::ValuesIn(models)),
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PDPDFuzzyOpTest::getTestCaseName);
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