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| DATA_TEST_CASE (Real, framework::DatasetMode::ALL, shapes_1d_dft, shape) |
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| DATA_TEST_CASE (Complex, framework::DatasetMode::ALL, shapes_1d_dft, shape) |
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| TEST_SUITE_END () FIXTURE_DATA_TEST_CASE(RunSmall = ActivationValidationQuantizedFixture<CLTensor, CLAccessor, CLActivationLayer, T> |
| [CLActivationLayer Test snippet] More...
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std::uniform_real_distribution< float > | distribution (-5.f, 5.f) |
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library | fill (src, distribution, 0) |
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| validate (SimpleTensorAccessor< float >(src), backward, RelativeTolerance< float >(0.1f)) |
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| DATA_TEST_CASE (Complex, framework::DatasetMode::ALL, shapes_2d_dft, shape) |
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std::uniform_real_distribution< float > | distribution_b (0.f, 0.f) |
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library | fill (w, distribution, 1) |
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library | fill (b, distribution_b, 2) |
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dst_shape | set (0, output_wh.first) |
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dst_shape | set (1, output_wh.second) |
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dst_shape | set (2, shape_w[3]) |
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| validate (SimpleTensorAccessor< float >(dst), dst_ref, RelativeTolerance< float >(0.1f), 0.f, AbsoluteTolerance< float >(0.001f)) |
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| shapes_2d_dft |
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| shape |
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const bool | is_odd = shape.x() % 2 |
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auto | forward = reference::rdft_2d(src) |
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auto | backward = reference::ridft_2d(forward, is_odd) |
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| conv_dataset_dft |
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| shape_in |
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| shape_w |
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SimpleTensor< float > | src { shape_in, DataType::F32, 1 } |
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SimpleTensor< float > | w { shape_w, DataType::F32, 1 } |
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SimpleTensor< float > | b { TensorShape(shape_w[3]), DataType::F32, 1 } |
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const auto | output_wh = arm_compute::scaled_dimensions(shape_in.x(), shape_in.y(), shape_w.x(), shape_w.y(), conv_info) |
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TensorShape | dst_shape = shape_in |
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auto | dst = reference::conv2d_dft(src, w, conv_info) |
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auto | dst_ref = reference::convolution_layer(src, w, b, dst_shape, conv_info) |
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