/external/tensorflow/tensorflow/lite/kernels/ |
D | pack_test.cc | 43 void SetInput(int index, std::initializer_list<T> data) { in SetInput() function in tflite::__anon908f57500111::PackOpModel 57 model.SetInput(0, {1, 4}); in TEST() 58 model.SetInput(1, {2, 5}); in TEST() 59 model.SetInput(2, {3, 6}); in TEST() 67 model.SetInput(0, {1, 4}); in TEST() 68 model.SetInput(1, {2, 5}); in TEST() 69 model.SetInput(2, {3, 6}); in TEST() 77 model.SetInput(0, {1, 2, 3, 4, 5, 6}); in TEST() 78 model.SetInput(1, {7, 8, 9, 10, 11, 12}); in TEST() 87 model.SetInput(0, {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16}); in TEST() [all …]
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D | concatenation_test.cc | 55 void SetInput(int index, std::initializer_list<float> data) { in SetInput() function in tflite::__anon0d1bc6570111::ConcatenationOpModel 82 void SetInput(int index, std::initializer_list<float> data) { in SetInput() function in tflite::__anon0d1bc6570111::QuantizedConcatenationOpModel 99 m0.SetInput(0, {1.0f, 3.0f, 4.0f, 7.0f}); in TEST() 107 m0.SetInput(0, {5.0f}); in TEST() 115 m0.SetInput(0, {1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f}); in TEST() 127 m0.SetInput(0, tensor0); in TEST() 128 m0.SetInput(1, tensor1); in TEST() 135 m0_negative.SetInput(0, tensor0); in TEST() 136 m0_negative.SetInput(1, tensor1); in TEST() 143 m1.SetInput(0, tensor0); in TEST() [all …]
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D | resize_bilinear_test.cc | 50 void SetInput(std::initializer_list<T> data) { in SetInput() function in tflite::__anond3a61b480111::ResizeBilinearOpModel 68 m.SetInput<float>({3, 6}); in TEST() 75 const_m.SetInput<float>({3, 6}); in TEST() 83 m.SetInput<uint8>({3, 6}); in TEST() 90 const_m.SetInput<uint8>({3, 6}); in TEST() 98 m.SetInput<int8_t>({3, 6}); in TEST() 105 const_m.SetInput<int8_t>({3, 6}); in TEST() 113 m.SetInput<float>({3, 9}); in TEST() 120 const_m.SetInput<float>({3, 9}); in TEST() 128 m.SetInput<uint8>({3, 9}); in TEST() [all …]
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D | resize_nearest_neighbor_test.cc | 50 void SetInput(std::initializer_list<T> data) { in SetInput() function in tflite::__anon6a3f65c10111::ResizeNearestNeighborOpModel 68 m.SetInput<float>({3, 6}); in TEST() 76 const_m.SetInput<float>({3, 6}); in TEST() 84 m.SetInput<uint8>({3, 6}); in TEST() 92 const_m.SetInput<uint8>({3, 6}); in TEST() 100 m.SetInput<int8_t>({-3, 6}); in TEST() 107 const_m.SetInput<int8_t>({-3, 6}); in TEST() 115 m.SetInput<float>({3, 9}); in TEST() 123 const_m.SetInput<float>({3, 9}); in TEST() 131 m.SetInput<uint8>({3, 9}); in TEST() [all …]
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D | activations_test.cc | 76 void SetInput(std::initializer_list<float> data) { in SetInput() function in tflite::__anonabb0f0760111::FloatActivationsOpModel 106 void SetInput(std::initializer_list<float> data) { in SetInput() function in tflite::__anonabb0f0760111::QuantizedActivationsOpModel 124 m.SetInput({ in TEST() 138 m.SetInput({ in TEST() 152 m.SetInput({ in TEST() 166 m.SetInput({ in TEST() 180 m.SetInput({ in TEST() 198 m.SetInput<uint8_t>({ in TEST() 221 m.SetInput<int8_t>({ in TEST() 243 m.SetInput<uint8_t>({ in TEST() [all …]
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D | strided_slice_test.cc | 49 void SetInput(std::initializer_list<input_type> data) { in SetInput() function in tflite::__anon1c38552f0111::StridedSliceOpModel 92 m.SetInput({1, 2, 3, 4}); in TEST() 103 m.SetInput({1, 2, 3, 4}); in TEST() 113 m.SetInput({1, 2, 3, 4}); in TEST() 124 m.SetInput({1, 2, 3, 4}); in TEST() 135 m.SetInput({1, 2, 3, 4}); in TEST() 146 m.SetInput({1, 2, 3, 4}); in TEST() 157 m.SetInput({1, 2, 3, 4}); in TEST() 168 m.SetInput({1, 2, 3, 4}); in TEST() 179 m.SetInput({1, 2, 3, 4}); in TEST() [all …]
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D | gather_nd_test.cc | 40 void SetInput(std::initializer_list<T> data) { in SetInput() function in tflite::__anon4a1df51d0111::GatherNdOpModel 64 m.SetInput<float>({1.1, 1.2, 2.1, 2.2}); in TEST() 73 m.SetInput<float>({1.1, 1.2, 2.1, 2.2}); in TEST() 83 m.SetInput<float>({1.1, 1.2, 2.1, 2.2}); in TEST() 93 m.SetInput<float>({1.1, 1.2, 2.1, 2.2}); in TEST() 102 m.SetInput<float>({1.1, 1.2, 2.1, 2.2}); in TEST() 112 m.SetInput<float>({1.1, -1.2, 1.3, -2.1, 2.2, 2.3, // in TEST() 124 m.SetInput<float>({1.1, -1.2, 1.3, -2.1, 2.2, 2.3, // in TEST() 138 m.SetInput<float>({1.1, -1.2, 1.3, -2.1, 2.2, 2.3, // in TEST() 150 m.SetInput<float>({1.1, -1.2, 1.3, -2.1, 2.2, 2.3, // in TEST() [all …]
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D | gather_test.cc | 40 void SetInput(std::initializer_list<T> data) { in SetInput() function in tflite::__anon6134f40c0111::GatherOpModel 71 m.SetInput<float>({-2.0, 0.2, 0.7, 0.8}); in TEST() 80 m.SetInput<float>({-2.0, 0.2, 0.7, 0.8}); in TEST() 92 m.SetInput<float>({1.0, 2.0, 3.0}); in TEST() 101 m.SetInput<float>({1.0, 3.0, 5.0}); in TEST() 110 m.SetInput<float>({1.0, 2.0, 3.0}); in TEST() 120 m.SetInput<float>({-2.0, 0.2, 0.7, 0.8}); in TEST() 130 m.SetInput<float>({-2.0, 0.2, 0.7, 0.8}); in TEST() 141 m.SetInput<float>({1, 2, 3, 4, 5, 6}); in TEST() 153 m.SetInput<float>({1, 2, 3, 4, 5, 6}); in TEST() [all …]
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D | skip_gram_test.cc | 44 void SetInput(const string& content) { in SetInput() function in tflite::__anon4f60efae0111::SkipGramOp 68 m.SetInput(kSentence); in TEST() 77 m.SetInput(kSentence); in TEST() 87 m.SetInput(kSentence); in TEST() 101 m.SetInput(kSentence); in TEST() 119 m.SetInput(kSentence); in TEST() 131 m.SetInput(kSentence); in TEST() 145 m.SetInput(kSentence); in TEST() 161 m.SetInput(kSentence); in TEST() 184 m.SetInput(kSentence); in TEST() [all …]
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D | pooling_test.cc | 55 void SetInput(std::initializer_list<float> data) { in SetInput() function in tflite::__anon63a61fa90111::FloatPoolingOpModel 66 void SetInput(std::initializer_list<float> data) { in SetInput() function in tflite::__anon63a61fa90111::QuantizedPoolingOpModel 70 void SetInput(const std::vector<float>& data) { in SetInput() function in tflite::__anon63a61fa90111::QuantizedPoolingOpModel 85 void SetInput(std::initializer_list<float> data) { in SetInput() function in tflite::__anon63a61fa90111::SymmetricQuantizedPoolingOpModel 89 void SetInput(const std::vector<float>& data) { in SetInput() function in tflite::__anon63a61fa90111::SymmetricQuantizedPoolingOpModel 123 m.SetInput({ in TEST() 139 m.SetInput({ in TEST() 161 m.SetInput(input); in TEST() 184 m.SetInput(ReplicateDepthRamp(input_image_plane, depth, 1.f / 512.f)); in TEST() 205 m.SetInput({ in TEST() [all …]
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D | conv_test.cc | 120 void SetInput(std::initializer_list<float> data) { in SetInput() function in tflite::__anon8d129a670111::ConvolutionOpModel 146 m.SetInput({ in TEST_P() 181 m.SetInput({ in TEST_P() 211 m.SetInput({ in TEST_P() 235 m.SetInput({ in TEST_P() 268 m.SetInput({ in TEST_P() 298 m.SetInput({ in TEST_P() 336 m.SetInput({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}); in TEST_P() 402 m.SetInput({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}); in TEST_P() 457 m.SetInput({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}); in TEST_P() [all …]
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D | slice_test.cc | 42 void SetInput(std::initializer_list<input_type> data) { in SetInput() function in tflite::__anon667d06810111::SliceOpModel 67 m.SetInput({1, 2, 3, 4}); in TEST() 78 m.SetInput({1, 2, 3, 4, 5, 6}); in TEST() 89 m.SetInput({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}); in TEST() 101 m.SetInput({1, 2, 3, 4}); in TEST() 112 m.SetInput({1, 2, 3, 4}); in TEST() 125 m.SetInput({1, 1, 1, 2, 2, 2, 3, 3, 3, 4, 4, 4, 5, 5, 5, 6, 6, 6}); in TEST() 136 m.SetInput({1, 1, 1, 2, 2, 2, 3, 3, 3, 4, 4, 4, 5, 5, 5, 6, 6, 6}); in TEST() 147 m.SetInput({1, 1, 1, 2, 2, 2, 3, 3, 3, 4, 4, 4, 5, 5, 5, 6, 6, 6}); in TEST() 158 m.SetInput({1, 1, 1, 2, 2, 2, 3, 3, 3, 4, 4, 4, 5, 5, 5, 6, 6, 6}); in TEST() [all …]
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D | tile_test.cc | 38 void SetInput(std::initializer_list<T> data) { in SetInput() function in tflite::__anone8b6eaff0111::TileOpModel 61 m.SetInput<float>({1.f, 2.f, 3.f}); in TEST() 70 m.SetInput<float>({ in TEST() 99 m.SetInput<float>({ in TEST() 120 m.SetInput<uint8_t>({ in TEST() 149 m.SetInput<int32_t>({ in TEST() 178 m.SetInput<bool>({true, false, false, true, true, false}); in TEST() 191 m.SetInput<int64_t>({ in TEST() 220 m.SetInput<int64_t>({ in TEST()
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D | unidirectional_sequence_rnn_test.cc | 218 void SetInput(std::initializer_list<float> data) { in SetInput() function in tflite::__anon2f8e60700111::UnidirectionalRNNOpModel 222 void SetInput(int offset, float* begin, float* end) { in SetInput() function in tflite::__anon2f8e60700111::UnidirectionalRNNOpModel 286 rnn.SetInput(0, batch_start, batch_end); in TEST() 287 rnn.SetInput(input_sequence_size, batch_start, batch_end); in TEST() 311 rnn.SetInput(0, batch_start, batch_end); in TEST() 312 rnn.SetInput(input_sequence_size, batch_start, batch_end); in TEST() 337 rnn.SetInput(0, batch_start, batch_end); in TEST() 338 rnn.SetInput(input_sequence_size, batch_start, batch_end); in TEST() 364 rnn.SetInput(2 * i * rnn.input_size(), batch_start, batch_end); in TEST() 365 rnn.SetInput((2 * i + 1) * rnn.input_size(), batch_start, batch_end); in TEST() [all …]
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D | transpose_test.cc | 153 void SetInput(std::initializer_list<float> data) { in SetInput() function in tflite::__anona7b28c900111::TransposeOpModel 225 m.SetInput({1, 2, 3}); in TEST() 233 m.SetInput({1, 2, 3}); in TEST() 242 m.SetInput({0, 1, 2, 3, 4, 5}); in TEST() 250 m.SetInput({0, 1, 2, 3, 4, 5}); in TEST() 259 m.SetInput({0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, in TEST() 270 m.SetInput({0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, in TEST() 289 m.SetInput({1, 2, 3, 4, 5, 6}); in TEST() 297 m.SetInput({1, 2, 3, 4, 5, 6}); in TEST() 306 m.SetInput({1, 2, 3, 4, 5, 6}); in TEST() [all …]
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D | depthwise_conv_test.cc | 125 void SetInput(std::initializer_list<float> data) { in SetInput() function in tflite::__anona84de9d30111::DepthwiseConvolutionOpModel 152 m.SetInput({ in TEST_P() 199 m.SetInput({0, 0, 0, 0, 0, 0, 0, 0, 0, in TEST_P() 245 m.SetInput({1, 1, 1, 1, 1, 1, 1, 1, 1}); in TEST_P() 266 void SetInput(std::initializer_list<float> data) { in SetInput() function in tflite::__anona84de9d30111::QuantizedDepthwiseConvolutionOpModel 300 m.SetInput({ in TEST_P() 352 quant_op.SetInput(input); in TEST_P() 357 float_op.SetInput(input); in TEST_P() 397 m.SetInput({0, 0, 0, 0, 0, 0, 0, 0, 0, in TEST_P() 449 m.SetInput({1, 1, 1, 1, 1, 1, 1, 1, 1}); in TEST_P() [all …]
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D | embedding_lookup_test.cc | 47 void SetInput(std::initializer_list<int> data) { in SetInput() function in tflite::__anon9fb92c890111::BaseEmbeddingLookupOpModel 98 m.SetInput({1, 0, 2}); in TEST() 114 m.SetInput({1, 0, 2}); in TEST() 135 m.SetInput({1, 0, 2}); in TEST() 156 m.SetInput({1, 0, 2}); in TEST() 177 m.SetInput({1, 0, 2}); in TEST() 198 m.SetInput({1, 0, 2}); in TEST() 219 m.SetInput({1, 0, 2}); in TEST()
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D | fully_connected_test.cc | 206 void SetInput(const std::vector<float>& data) { in SetInput() function in tflite::__anon3e7c6b6f0111::FloatFullyConnectedOpModel 209 void SetInput(int offset, float* begin, float* end) { in SetInput() function in tflite::__anon3e7c6b6f0111::FloatFullyConnectedOpModel 256 void SetInput(const std::vector<float>& data) { in SetInput() function in tflite::__anon3e7c6b6f0111::QuantizedFullyConnectedOpModel 312 void SetInput(const std::vector<float>& f) { PopulateTensor(input_, f); } in SetInput() function in tflite::__anon3e7c6b6f0111::HybridFullyConnectedOpModel 382 m.SetInput({ in TEST_P() 400 m.SetInput({ in TEST_P() 421 m.SetInput({ in TEST() 445 m.SetInput<uint8_t>({ in TEST_P() 475 m.SetInput<int8_t>({ in TEST_P() 502 m.SetInput<uint8_t>({ in TEST_P() [all …]
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D | space_to_depth_test.cc | 39 void SetInput(std::initializer_list<T> data) { in SetInput() function in tflite::__anon5bb25c730111::SpaceToDepthOpModel 62 m.SetInput<float>({1.4, 2.3, 3.2, 4.1, 5.4, 6.3, 7.2, 8.1}); in TEST() 71 m.SetInput<uint8_t>({1, 2, 3, 4}); in TEST() 79 m.SetInput<int8_t>({1, 2, 3, 4}); in TEST() 87 m.SetInput<int32_t>({1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}); in TEST() 96 m.SetInput<int64_t>({1, 2, 5, 6, 3, 4, 7, 8, 9, 10, 13, 14, 11, 12, 15, 16}); in TEST()
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D | unpack_test.cc | 44 void SetInput(std::initializer_list<T> data) { in SetInput() function in tflite::__anon05b8f2d30111::UnpackOpModel 73 model.SetInput({1, 2, 3, 4, 5, 6}); in TEST() 93 model.SetInput({1, 2, 3, 4, 5, 6}); in TEST() 111 model.SetInput({1, 2, 3, 4, 5, 6}); in TEST() 129 model.SetInput({1, 2, 3, 4, 5, 6}); in TEST() 149 model.SetInput({1, 2, 3, 4, 5, 6}); in TEST() 165 model.SetInput({1, 2, 3, 4, 5, 6, 7, 8}); in TEST() 184 model.SetInput({1, 2, 3, 4, 5, 6}); in TEST() 205 model.SetInput({1, 2, 3, 4, 5, 6}); in TEST() 224 model.SetInput({1, 2, 3, 4, 5, 6}); in TEST() [all …]
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D | bidirectional_sequence_rnn_test.cc | 739 void SetInput(std::initializer_list<float> data) { in SetInput() function in tflite::__anon65c37d6f0111::BidirectionalRNNOpModel 743 void SetInput(int offset, float* begin, float* end) { in SetInput() function in tflite::__anon65c37d6f0111::BidirectionalRNNOpModel 801 rnn.SetInput(0, batch_start, batch_end); in TEST() 802 rnn.SetInput(input_sequence_size, batch_start, batch_end); in TEST() 844 rnn.SetInput(2 * i * rnn.input_size(), batch_start, batch_end); in TEST() 845 rnn.SetInput((2 * i + 1) * rnn.input_size(), batch_start, batch_end); in TEST() 877 rnn.SetInput(0, batch_start, batch_end); in TEST() 878 rnn.SetInput(input_sequence_size, batch_start, batch_end); in TEST() 920 rnn.SetInput(2 * i * rnn.input_size(), batch_start, batch_end); in TEST() 921 rnn.SetInput((2 * i + 1) * rnn.input_size(), batch_start, batch_end); in TEST() [all …]
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D | local_response_norm_test.cc | 40 void SetInput(std::initializer_list<float> data) { in SetInput() function in tflite::__anon8a74d9650111::LocalResponseNormOpModel 54 m.SetInput({-1.1, 0.6, 0.7, 1.2, -0.7, 0.1}); in TEST() 65 m.SetInput({-1.1, 0.6, 0.7, 1.2, -0.7, 0.1}); in TEST() 75 m.SetInput({-1.1, 0.6, 0.7, 1.2, -0.7, 0.1}); in TEST() 86 m.SetInput({-1.1, 0.6, 0.7, 1.2, -0.7, 0.1}); in TEST()
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D | reshape_test.cc | 68 void SetInput(std::initializer_list<T> data) { in SetInput() function in tflite::__anonc79801990111::ReshapeOpModel 130 m.SetInput({3}); in TEST_P() 164 m.SetInput({5, 6, 7, 8}); in TEST_P() 173 m.SetInput({1, 2, 3, 4, 5, 6, 7, 8}); in TEST_P() 181 m.SetInput({1, 2, 3, 4, 5, 6, 7, 8}); in TEST_P() 191 m.SetInput({3}); in TEST_P() 208 m.SetInput({3}); in TEST_P() 213 m.SetInput({3}); in TEST_P()
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/external/tensorflow/tensorflow/lite/delegates/nnapi/ |
D | nnapi_delegate_test.cc | 213 void SetInput(std::initializer_list<float> data) { in SetInput() function in tflite::__anon6d004b400111::FloatPoolingOpModel 229 m.SetInput({ in TEST() 242 m.SetInput({ in TEST() 255 m.SetInput({ in TEST() 305 void SetInput(std::initializer_list<float> data) { in SetInput() function in tflite::__anon6d004b400111::ConvolutionOpModel 352 m.SetInput({ in TEST() 390 m.SetInput({ in TEST() 422 m.SetInput({ in TEST() 486 void SetInput(std::initializer_list<float> data) { in SetInput() function in tflite::__anon6d004b400111::DepthwiseConvolutionOpModel 504 m.SetInput({ in TEST() [all …]
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/external/tensorflow/tensorflow/lite/testing/ |
D | tflite_driver_test.cc | 43 runner->SetInput(0, "0.1,0.2,0.3,0.4"); in TEST() 44 runner->SetInput(1, "0.001,0.002,0.003,0.004"); in TEST() 45 runner->SetInput(2, "0.001,0.002,0.003,0.004"); in TEST() 46 runner->SetInput(3, "0.01,0.02,0.03,0.04"); in TEST() 79 runner->SetInput(0, "0.1,0.2,0.3,0.4"); in TEST() 80 runner->SetInput(1, "0.001,0.002,0.003,0.004"); in TEST() 81 runner->SetInput(2, "0.001,0.002,0.003,0.004"); in TEST() 82 runner->SetInput(3, "0.01,0.02,0.03,0.04"); in TEST()
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