COMPMID-1999: Add support for GenerateProposals operator in CL
Change-Id: Ie08a6874347085f96b00f25bdb605eee7d683c25
Signed-off-by: giuros01 <giuseppe.rossini@arm.com>
Reviewed-on: https://review.mlplatform.org/719
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Reviewed-by: Michalis Spyrou <michalis.spyrou@arm.com>
diff --git a/tests/validation/CL/GenerateProposalsLayer.cpp b/tests/validation/CL/GenerateProposalsLayer.cpp
new file mode 100644
index 0000000..4ebffd7
--- /dev/null
+++ b/tests/validation/CL/GenerateProposalsLayer.cpp
@@ -0,0 +1,403 @@
+/*
+ * Copyright (c) 2019 ARM Limited.
+ *
+ * SPDX-License-Identifier: MIT
+ *
+ * Permission is hereby granted, free of charge, to any person obtaining a copy
+ * of this software and associated documentation files (the "Software"), to
+ * deal in the Software without restriction, including without limitation the
+ * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
+ * sell copies of the Software, and to permit persons to whom the Software is
+ * furnished to do so, subject to the following conditions:
+ *
+ * The above copyright notice and this permission notice shall be included in all
+ * copies or substantial portions of the Software.
+ *
+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+ * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+ * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+ * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+ * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+ * SOFTWARE.
+ */
+#include "arm_compute/runtime/CL/CLScheduler.h"
+#include "arm_compute/runtime/CL/functions/CLComputeAllAnchors.h"
+#include "arm_compute/runtime/CL/functions/CLGenerateProposalsLayer.h"
+#include "arm_compute/runtime/CL/functions/CLPermute.h"
+#include "arm_compute/runtime/CL/functions/CLSlice.h"
+#include "tests/CL/CLAccessor.h"
+#include "tests/CL/CLArrayAccessor.h"
+#include "tests/Globals.h"
+#include "tests/framework/Macros.h"
+#include "tests/framework/datasets/Datasets.h"
+#include "tests/validation/Validation.h"
+#include "tests/validation/fixtures/ComputeAllAnchorsFixture.h"
+#include "utils/TypePrinter.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+namespace
+{
+template <typename U, typename T>
+inline void fill_tensor(U &&tensor, const std::vector<T> &v)
+{
+ std::memcpy(tensor.data(), v.data(), sizeof(T) * v.size());
+}
+
+template <typename T>
+inline void fill_tensor(CLAccessor &&tensor, const std::vector<T> &v)
+{
+ if(tensor.data_layout() == DataLayout::NCHW)
+ {
+ std::memcpy(tensor.data(), v.data(), sizeof(T) * v.size());
+ }
+ else
+ {
+ const int channels = tensor.shape()[0];
+ const int width = tensor.shape()[1];
+ const int height = tensor.shape()[2];
+ for(int x = 0; x < width; ++x)
+ {
+ for(int y = 0; y < height; ++y)
+ {
+ for(int c = 0; c < channels; ++c)
+ {
+ *(reinterpret_cast<T *>(tensor(Coordinates(c, x, y)))) = *(reinterpret_cast<const T *>(v.data() + x + y * width + c * height * width));
+ }
+ }
+ }
+ }
+}
+
+const auto ComputeAllInfoDataset = framework::dataset::make("ComputeAllInfo",
+{
+ ComputeAnchorsInfo(10U, 10U, 1. / 16.f),
+ ComputeAnchorsInfo(100U, 1U, 1. / 2.f),
+ ComputeAnchorsInfo(100U, 1U, 1. / 4.f),
+ ComputeAnchorsInfo(100U, 100U, 1. / 4.f),
+
+});
+} // namespace
+
+TEST_SUITE(CL)
+TEST_SUITE(GenerateProposals)
+
+// *INDENT-OFF*
+// clang-format off
+DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(
+ framework::dataset::make("scores", { TensorInfo(TensorShape(100U, 100U, 9U), 1, DataType::F32),
+ TensorInfo(TensorShape(100U, 100U, 9U), 1, DataType::F16), // Mismatching types
+ TensorInfo(TensorShape(100U, 100U, 9U), 1, DataType::F16), // Wrong deltas (number of transformation non multiple of 4)
+ TensorInfo(TensorShape(100U, 100U, 9U), 1, DataType::F16), // Wrong anchors (number of values per roi != 5)
+ TensorInfo(TensorShape(100U, 100U, 9U), 1, DataType::F16), // Output tensor num_valid_proposals not scalar
+ TensorInfo(TensorShape(100U, 100U, 9U), 1, DataType::F16)}), // num_valid_proposals not U32
+ framework::dataset::make("deltas",{ TensorInfo(TensorShape(100U, 100U, 36U), 1, DataType::F32),
+ TensorInfo(TensorShape(100U, 100U, 36U), 1, DataType::F32),
+ TensorInfo(TensorShape(100U, 100U, 38U), 1, DataType::F32),
+ TensorInfo(TensorShape(100U, 100U, 38U), 1, DataType::F32),
+ TensorInfo(TensorShape(100U, 100U, 38U), 1, DataType::F32),
+ TensorInfo(TensorShape(100U, 100U, 38U), 1, DataType::F32)})),
+ framework::dataset::make("anchors", { TensorInfo(TensorShape(4U, 9U), 1, DataType::F32),
+ TensorInfo(TensorShape(4U, 9U), 1, DataType::F32),
+ TensorInfo(TensorShape(4U, 9U), 1, DataType::F32),
+ TensorInfo(TensorShape(5U, 9U), 1, DataType::F32),
+ TensorInfo(TensorShape(4U, 9U), 1, DataType::F32),
+ TensorInfo(TensorShape(4U, 9U), 1, DataType::F32)})),
+ framework::dataset::make("proposals", { TensorInfo(TensorShape(5U, 100U*100U*9U), 1, DataType::F32),
+ TensorInfo(TensorShape(5U, 100U*100U*9U), 1, DataType::F32),
+ TensorInfo(TensorShape(5U, 100U*100U*9U), 1, DataType::F32),
+ TensorInfo(TensorShape(5U, 100U*100U*9U), 1, DataType::F32),
+ TensorInfo(TensorShape(5U, 100U*100U*9U), 1, DataType::F32),
+ TensorInfo(TensorShape(5U, 100U*100U*9U), 1, DataType::F32)})),
+ framework::dataset::make("scores_out", { TensorInfo(TensorShape(100U*100U*9U), 1, DataType::F32),
+ TensorInfo(TensorShape(100U*100U*9U), 1, DataType::F32),
+ TensorInfo(TensorShape(100U*100U*9U), 1, DataType::F32),
+ TensorInfo(TensorShape(100U*100U*9U), 1, DataType::F32),
+ TensorInfo(TensorShape(100U*100U*9U), 1, DataType::F32),
+ TensorInfo(TensorShape(100U*100U*9U), 1, DataType::F32)})),
+ framework::dataset::make("num_valid_proposals", { TensorInfo(TensorShape(1U, 1U), 1, DataType::U32),
+ TensorInfo(TensorShape(1U, 1U), 1, DataType::U32),
+ TensorInfo(TensorShape(1U, 1U), 1, DataType::U32),
+ TensorInfo(TensorShape(1U, 1U), 1, DataType::U32),
+ TensorInfo(TensorShape(1U, 10U), 1, DataType::U32),
+ TensorInfo(TensorShape(1U, 1U), 1, DataType::F16)})),
+ framework::dataset::make("generate_proposals_info", { GenerateProposalsInfo(10.f, 10.f, 1.f),
+ GenerateProposalsInfo(10.f, 10.f, 1.f),
+ GenerateProposalsInfo(10.f, 10.f, 1.f),
+ GenerateProposalsInfo(10.f, 10.f, 1.f),
+ GenerateProposalsInfo(10.f, 10.f, 1.f),
+ GenerateProposalsInfo(10.f, 10.f, 1.f)})),
+ framework::dataset::make("Expected", { true, false, false, false, false, false })),
+ scores, deltas, anchors, proposals, scores_out, num_valid_proposals, generate_proposals_info, expected)
+{
+ ARM_COMPUTE_EXPECT(bool(CLGenerateProposalsLayer::validate(&scores.clone()->set_is_resizable(true),
+ &deltas.clone()->set_is_resizable(true),
+ &anchors.clone()->set_is_resizable(true),
+ &proposals.clone()->set_is_resizable(true),
+ &scores_out.clone()->set_is_resizable(true),
+ &num_valid_proposals.clone()->set_is_resizable(true),
+ generate_proposals_info)) == expected, framework::LogLevel::ERRORS);
+}
+// clang-format on
+// *INDENT-ON*
+
+template <typename T>
+using CLComputeAllAnchorsFixture = ComputeAllAnchorsFixture<CLTensor, CLAccessor, CLComputeAllAnchors, T>;
+
+TEST_SUITE(Float)
+TEST_SUITE(FP32)
+DATA_TEST_CASE(IntegrationTestCaseAllAnchors, framework::DatasetMode::ALL, framework::dataset::make("DataType", { DataType::F32 }),
+ data_type)
+{
+ const int values_per_roi = 4;
+ const int num_anchors = 3;
+ const int feature_height = 4;
+ const int feature_width = 3;
+
+ SimpleTensor<float> anchors_expected(TensorShape(values_per_roi, feature_width * feature_height * num_anchors), DataType::F32);
+ fill_tensor(anchors_expected, std::vector<float> { -26, -19, 87, 86,
+ -81, -27, 58, 63,
+ -44, -15, 55, 36,
+ -10, -19, 103, 86,
+ -65, -27, 74, 63,
+ -28, -15, 71, 36,
+ 6, -19, 119, 86,
+ -49, -27, 90, 63,
+ -12, -15, 87, 36,
+ -26, -3, 87, 102,
+ -81, -11, 58, 79,
+ -44, 1, 55, 52,
+ -10, -3, 103, 102,
+ -65, -11, 74, 79,
+ -28, 1, 71, 52,
+ 6, -3, 119, 102,
+ -49, -11, 90, 79,
+ -12, 1, 87, 52,
+ -26, 13, 87, 118,
+ -81, 5, 58, 95,
+ -44, 17, 55, 68,
+ -10, 13, 103, 118,
+ -65, 5, 74, 95,
+ -28, 17, 71, 68,
+ 6, 13, 119, 118,
+ -49, 5, 90, 95,
+ -12, 17, 87, 68,
+ -26, 29, 87, 134,
+ -81, 21, 58, 111,
+ -44, 33, 55, 84,
+ -10, 29, 103, 134,
+ -65, 21, 74, 111,
+ -28, 33, 71, 84,
+ 6, 29, 119, 134,
+ -49, 21, 90, 111,
+ -12, 33, 87, 84
+ });
+
+ CLTensor all_anchors;
+ CLTensor anchors = create_tensor<CLTensor>(TensorShape(4, num_anchors), data_type);
+
+ // Create and configure function
+ CLComputeAllAnchors compute_anchors;
+ compute_anchors.configure(&anchors, &all_anchors, ComputeAnchorsInfo(feature_width, feature_height, 1. / 16.0));
+ anchors.allocator()->allocate();
+ all_anchors.allocator()->allocate();
+
+ fill_tensor(CLAccessor(anchors), std::vector<float> { -26, -19, 87, 86,
+ -81, -27, 58, 63,
+ -44, -15, 55, 36
+ });
+ // Compute function
+ compute_anchors.run();
+ validate(CLAccessor(all_anchors), anchors_expected);
+}
+
+DATA_TEST_CASE(IntegrationTestCaseGenerateProposals, framework::DatasetMode::ALL, combine(framework::dataset::make("DataType", { DataType::F32 }),
+ framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
+ data_type, data_layout)
+{
+ const int values_per_roi = 4;
+ const int num_anchors = 2;
+ const int feature_height = 4;
+ const int feature_width = 5;
+
+ std::vector<float> scores_vector
+ {
+ 5.055894435664012e-04f, 1.270304909820112e-03f, 2.492271113912067e-03f, 5.951663827809190e-03f,
+ 7.846917156877404e-03f, 6.776275276294789e-03f, 6.761571012891965e-03f, 4.898292096237725e-03f,
+ 6.044472332578605e-04f, 3.203334118759474e-03f, 2.947527908919908e-03f, 6.313238560015770e-03f,
+ 7.931767757095738e-03f, 8.764345805102866e-03f, 7.325012199914913e-03f, 4.317069470446271e-03f,
+ 2.372537409795522e-03f, 1.589227460352735e-03f, 7.419477503600818e-03f, 3.157690354133824e-05f,
+ 1.125915135986472e-03f, 9.865363483872330e-03f, 2.429454743386769e-03f, 2.724460564167563e-03f,
+ 7.670409838207963e-03f, 5.558891552328172e-03f, 7.876904873099614e-03f, 6.824746047239291e-03f,
+ 7.023817548067892e-03f, 3.651314909238673e-04f, 6.720443709032501e-03f, 5.935615511606155e-03f,
+ 2.837349642759774e-03f, 1.787235113610299e-03f, 4.538568889918262e-03f, 3.391510678188818e-03f,
+ 7.328474239481874e-03f, 6.306967923936016e-03f, 8.102218904895860e-04f, 3.366646521610209e-03f
+ };
+
+ std::vector<float> bbx_vector
+ {
+ 5.066650471856862e-03, -7.638671742936328e-03, 2.549596503988635e-03, -8.316416756423296e-03,
+ -2.397471917924575e-04, 7.370595187754891e-03, -2.771880178185262e-03, 3.958364873973579e-03,
+ 4.493661094712284e-03, 2.016487051533088e-03, -5.893883038142033e-03, 7.570636080807809e-03,
+ -1.395511229386785e-03, 3.686686052704696e-03, -7.738166245767079e-03, -1.947306329828059e-03,
+ -9.299719716045681e-03, -3.476410493413708e-03, -2.390761190919604e-03, 4.359281254364210e-03,
+ -2.135251160164030e-04, 9.203299843371962e-03, 4.042322775006053e-03, -9.464271243910754e-03,
+ 2.566239543229305e-03, -9.691093900220627e-03, -4.019283034310979e-03, 8.145470429508792e-03,
+ 7.345087308315662e-04, 7.049642787384043e-03, -2.768492313674294e-03, 6.997160053405803e-03,
+ 6.675346697112969e-03, 2.353293365652274e-03, -3.612002585241749e-04, 1.592076522068768e-03,
+ -8.354188900818149e-04, -5.232515333564140e-04, 6.946683728847089e-03, -8.469757407935994e-03,
+ -8.985324496496555e-03, 4.885832859017961e-03, -7.662967577576512e-03, 7.284124004335807e-03,
+ -5.812167510299458e-03, -5.760336800482398e-03, 6.040416930336549e-03, 5.861508595443691e-03,
+ -5.509243096133549e-04, -2.006142470055888e-03, -7.205925340416066e-03, -1.117459082969758e-03,
+ 4.233247017623154e-03, 8.079257498201178e-03, 2.962639022639513e-03, 7.069474943472751e-03,
+ -8.562946284971293e-03, -8.228634642768271e-03, -6.116245322799971e-04, -7.213122000180859e-03,
+ 1.693094399433209e-03, -4.287504459132290e-03, 8.740365683925144e-03, 3.751788160720638e-03,
+ 7.006764222862830e-03, 9.676754678358187e-03, -6.458757235812945e-03, -4.486506575589758e-03,
+ -4.371087196816259e-03, 3.542166755953152e-03, -2.504808998699504e-03, 5.666601724512010e-03,
+ -3.691862724546129e-03, 3.689809719085287e-03, 9.079930264704458e-03, 6.365127787359476e-03,
+ 2.881681788246101e-06, 9.991866069315165e-03, -1.104757466496565e-03, -2.668455405633477e-03,
+ -1.225748887087659e-03, 6.530536159094015e-03, 3.629468917975644e-03, 1.374426066950348e-03,
+ -2.404098881570632e-03, -4.791365049441602e-03, -2.970654027009094e-03, 7.807553690294366e-03,
+ -1.198321129505323e-03, -3.574885336949881e-03, -5.380848303732298e-03, 9.705151282165116e-03,
+ -1.005217683242201e-03, 9.178094036278405e-03, -5.615977269541644e-03, 5.333533158509859e-03,
+ -2.817116206168516e-03, 6.672609782000503e-03, 6.575769501651313e-03, 8.987596634989362e-03,
+ -1.283530791296188e-03, 1.687717120057778e-03, 3.242391851439037e-03, -7.312060454341677e-03,
+ 4.735335326324270e-03, -6.832367028817463e-03, -5.414854835884652e-03, -9.352380213755996e-03,
+ -3.682662043703889e-03, -6.127508590419776e-04, -7.682256596819467e-03, 9.569532628790246e-03,
+ -1.572157284518933e-03, -6.023034366859191e-03, -5.110873282582924e-03, -8.697072236660256e-03,
+ -3.235150419663566e-03, -8.286320236471386e-03, -5.229472409112913e-03, 9.920785896115053e-03,
+ -2.478413362126123e-03, -9.261324796935007e-03, 1.718512310840434e-04, 3.015875488208480e-03,
+ -6.172932549255669e-03, -4.031715551985103e-03, -9.263878005853677e-03, -2.815310738453385e-03,
+ 7.075307462133643e-03, 1.404611747938669e-03, -1.518548732533266e-03, -9.293430941655778e-03,
+ 6.382186966633246e-03, 8.256835789169248e-03, 3.196907843506736e-03, 8.821615689753433e-03,
+ -7.661543424832439e-03, 1.636273081822326e-03, -8.792373335756125e-03, 2.958775812049877e-03,
+ -6.269300278071262e-03, 6.248285790856450e-03, -3.675414624536002e-03, -1.692616700318762e-03,
+ 4.126007647815893e-03, -9.155291689759584e-03, -8.432616039924004e-03, 4.899980636213323e-03,
+ 3.511535019681671e-03, -1.582745757177339e-03, -2.703657774917963e-03, 6.738168990840388e-03,
+ 4.300455303937919e-03, 9.618312854781494e-03, 2.762142918402472e-03, -6.590025003382154e-03,
+ -2.071168373801788e-03, 8.613893943683627e-03, 9.411190295341036e-03, -6.129018930548372e-03
+ };
+
+ std::vector<float> anchors_vector{ -26, -19, 87, 86, -81, -27, 58, 63 };
+ ;
+
+ SimpleTensor<float> proposals_expected(TensorShape(5, 9), DataType::F32);
+ fill_tensor(proposals_expected, std::vector<float>
+ {
+ 0, 0, 0, 75.269, 64.4388,
+ 0, 21.9579, 13.0535, 119, 99,
+ 0, 38.303, 0, 119, 87.6447,
+ 0, 0, 0, 119, 64.619,
+ 0, 0, 20.7997, 74.0714, 99,
+ 0, 0, 0, 91.8963, 79.3724,
+ 0, 0, 4.42377, 58.1405, 95.1781,
+ 0, 0, 13.4405, 104.799, 99,
+ 0, 38.9066, 28.2434, 119, 99,
+
+ });
+
+ SimpleTensor<float> scores_expected(TensorShape(9), DataType::F32);
+ fill_tensor(scores_expected, std::vector<float>
+ {
+ 0.00986536,
+ 0.00876435,
+ 0.00784692,
+ 0.00767041,
+ 0.00732847,
+ 0.00682475,
+ 0.00672044,
+ 0.00631324,
+ 3.15769e-05
+ });
+
+ TensorShape scores_shape = TensorShape(feature_width, feature_height, num_anchors);
+ TensorShape deltas_shape = TensorShape(feature_width, feature_height, values_per_roi * num_anchors);
+ if(data_layout == DataLayout::NHWC)
+ {
+ permute(scores_shape, PermutationVector(2U, 0U, 1U));
+ permute(deltas_shape, PermutationVector(2U, 0U, 1U));
+ }
+
+ // Inputs
+ CLTensor scores = create_tensor<CLTensor>(scores_shape, data_type, 1, QuantizationInfo(), data_layout);
+ CLTensor bbox_deltas = create_tensor<CLTensor>(deltas_shape, data_type, 1, QuantizationInfo(), data_layout);
+ CLTensor anchors = create_tensor<CLTensor>(TensorShape(values_per_roi, num_anchors), data_type);
+
+ // Outputs
+ CLTensor proposals;
+ CLTensor num_valid_proposals;
+ CLTensor scores_out;
+ num_valid_proposals.allocator()->init(TensorInfo(TensorShape(1), 1, DataType::U32));
+
+ CLGenerateProposalsLayer generate_proposals;
+ generate_proposals.configure(&scores, &bbox_deltas, &anchors, &proposals, &scores_out, &num_valid_proposals,
+ GenerateProposalsInfo(120, 100, 0.166667f, 1 / 16.0, 6000, 300, 0.7f, 16.0f));
+
+ // Allocate memory for input/output tensors
+ scores.allocator()->allocate();
+ bbox_deltas.allocator()->allocate();
+ anchors.allocator()->allocate();
+ proposals.allocator()->allocate();
+ num_valid_proposals.allocator()->allocate();
+ scores_out.allocator()->allocate();
+ // Fill inputs
+ fill_tensor(CLAccessor(scores), scores_vector);
+ fill_tensor(CLAccessor(bbox_deltas), bbx_vector);
+ fill_tensor(CLAccessor(anchors), anchors_vector);
+
+ // Run operator
+ generate_proposals.run();
+ // Gather num_valid_proposals
+ num_valid_proposals.map();
+ const uint32_t N = *reinterpret_cast<uint32_t *>(num_valid_proposals.ptr_to_element(Coordinates(0, 0)));
+ num_valid_proposals.unmap();
+
+ // Select the first N entries of the proposals
+ CLTensor proposals_final;
+ CLSlice select_proposals;
+ select_proposals.configure(&proposals, &proposals_final, Coordinates(0, 0), Coordinates(values_per_roi + 1, N));
+ proposals_final.allocator()->allocate();
+ select_proposals.run();
+
+ // Select the first N entries of the proposals
+ CLTensor scores_final;
+ CLSlice select_scores;
+ select_scores.configure(&scores_out, &scores_final, Coordinates(0), Coordinates(N));
+ scores_final.allocator()->allocate();
+ select_scores.run();
+
+ const RelativeTolerance<float> tolerance_f32(1e-5f);
+ // Validate the output
+ validate(CLAccessor(proposals_final), proposals_expected, tolerance_f32);
+ validate(CLAccessor(scores_final), scores_expected, tolerance_f32);
+}
+
+FIXTURE_DATA_TEST_CASE(ComputeAllAnchors, CLComputeAllAnchorsFixture<float>, framework::DatasetMode::ALL,
+ combine(combine(framework::dataset::make("NumAnchors", { 2, 4, 8 }), ComputeAllInfoDataset), framework::dataset::make("DataType", { DataType::F32 })))
+{
+ // Validate output
+ validate(CLAccessor(_target), _reference);
+}
+TEST_SUITE_END() // FP32
+
+TEST_SUITE(FP16)
+FIXTURE_DATA_TEST_CASE(ComputeAllAnchors, CLComputeAllAnchorsFixture<half>, framework::DatasetMode::ALL,
+ combine(combine(framework::dataset::make("NumAnchors", { 2, 4, 8 }), ComputeAllInfoDataset), framework::dataset::make("DataType", { DataType::F16 })))
+{
+ // Validate output
+ validate(CLAccessor(_target), _reference);
+}
+TEST_SUITE_END() // FP16
+TEST_SUITE_END() // Float
+
+TEST_SUITE_END() // GenerateProposals
+TEST_SUITE_END() // CL
+
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
diff --git a/tests/validation/fixtures/ComputeAllAnchorsFixture.h b/tests/validation/fixtures/ComputeAllAnchorsFixture.h
new file mode 100644
index 0000000..bfa43ce
--- /dev/null
+++ b/tests/validation/fixtures/ComputeAllAnchorsFixture.h
@@ -0,0 +1,107 @@
+/*
+ * Copyright (c) 2019 ARM Limited.
+ *
+ * SPDX-License-Identifier: MIT
+ *
+ * Permission is hereby granted, free of charge, to any person obtaining a copy
+ * of this software and associated documentation files (the "Software"), to
+ * deal in the Software without restriction, including without limitation the
+ * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
+ * sell copies of the Software, and to permit persons to whom the Software is
+ * furnished to do so, subject to the following conditions:
+ *
+ * The above copyright notice and this permission notice shall be included in all
+ * copies or substantial portions of the Software.
+ *
+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+ * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+ * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+ * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+ * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+ * SOFTWARE.
+ */
+#ifndef ARM_COMPUTE_TEST_COMPUTEALLANCHORS_FIXTURE
+#define ARM_COMPUTE_TEST_COMPUTEALLANCHORS_FIXTURE
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+#include "tests/AssetsLibrary.h"
+#include "tests/Globals.h"
+#include "tests/IAccessor.h"
+#include "tests/framework/Asserts.h"
+#include "tests/framework/Fixture.h"
+#include "tests/validation/Helpers.h"
+#include "tests/validation/reference/ComputeAllAnchors.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
+class ComputeAllAnchorsFixture : public framework::Fixture
+{
+public:
+ template <typename...>
+ void setup(size_t num_anchors, const ComputeAnchorsInfo &info, DataType data_type)
+ {
+ _target = compute_target(num_anchors, data_type, info);
+ _reference = compute_reference(num_anchors, data_type, info);
+ }
+
+protected:
+ template <typename U>
+ void fill(U &&tensor)
+ {
+ library->fill_tensor_uniform(tensor, 0, T(0), T(100));
+ }
+
+ TensorType compute_target(size_t num_anchors, DataType data_type, const ComputeAnchorsInfo &info)
+ {
+ // Create tensors
+ TensorShape anchors_shape(4, num_anchors);
+ TensorType anchors = create_tensor<TensorType>(anchors_shape, data_type);
+ TensorType all_anchors;
+
+ // Create and configure function
+ FunctionType compute_all_anchors;
+ compute_all_anchors.configure(&anchors, &all_anchors, info);
+
+ ARM_COMPUTE_EXPECT(all_anchors.info()->is_resizable(), framework::LogLevel::ERRORS);
+
+ // Allocate tensors
+ all_anchors.allocator()->allocate();
+ anchors.allocator()->allocate();
+
+ ARM_COMPUTE_EXPECT(!all_anchors.info()->is_resizable(), framework::LogLevel::ERRORS);
+
+ // Fill tensors
+ fill(CLAccessor(anchors));
+
+ // Compute function
+ compute_all_anchors.run();
+
+ return all_anchors;
+ }
+
+ SimpleTensor<T> compute_reference(size_t num_anchors,
+ DataType data_type,
+ const ComputeAnchorsInfo &info)
+ {
+ // Create reference tensor
+ SimpleTensor<T> anchors(TensorShape(4, num_anchors), data_type);
+
+ // Fill reference tensor
+ fill(anchors);
+ return reference::compute_all_anchors(anchors, info);
+ }
+
+ TensorType _target{};
+ SimpleTensor<T> _reference{};
+};
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_COMPUTEALLANCHORS_FIXTURE */
diff --git a/tests/validation/reference/ComputeAllAnchors.cpp b/tests/validation/reference/ComputeAllAnchors.cpp
new file mode 100644
index 0000000..3f04980
--- /dev/null
+++ b/tests/validation/reference/ComputeAllAnchors.cpp
@@ -0,0 +1,79 @@
+/*
+ * Copyright (c) 2019 ARM Limited.
+ *
+ * SPDX-License-Identifier: MIT
+ *
+ * Permission is hereby granted, free of charge, to any person obtaining a copy
+ * of this software and associated documentation files (the "Software"), to
+ * deal in the Software without restriction, including without limitation the
+ * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
+ * sell copies of the Software, and to permit persons to whom the Software is
+ * furnished to do so, subject to the following conditions:
+ *
+ * The above copyright notice and this permission notice shall be included in all
+ * copies or substantial portions of the Software.
+ *
+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+ * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+ * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+ * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+ * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+ * SOFTWARE.
+ */
+#include "ComputeAllAnchors.h"
+
+#include "arm_compute/core/Types.h"
+#include "arm_compute/core/utils/misc/ShapeCalculator.h"
+#include "arm_compute/core/utils/misc/Utility.h"
+#include "tests/validation/Helpers.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+namespace reference
+{
+template <typename T>
+SimpleTensor<T> compute_all_anchors(const SimpleTensor<T> &anchors, const ComputeAnchorsInfo &info)
+{
+ const int num_anchors = anchors.shape()[1];
+ const auto width = int(info.feat_width());
+ const auto height = int(info.feat_height());
+ const float stride = 1. / info.spatial_scale();
+
+ SimpleTensor<T> all_anchors(TensorShape(4, width * height * num_anchors), anchors.data_type());
+ const T *anchors_ptr = anchors.data();
+ T *all_anchors_ptr = all_anchors.data();
+
+ // Iterate over the input grid and anchors
+ for(int y = 0; y < height; y++)
+ {
+ for(int x = 0; x < width; x++)
+ {
+ for(int a = 0; a < num_anchors; a++)
+ {
+ const T shift_x = T(x) * T(stride);
+ const T shift_y = T(y) * T(stride);
+ const size_t anchor_id = a + x * num_anchors + y * width * num_anchors;
+ // x1
+ all_anchors_ptr[anchor_id * 4] = anchors_ptr[4 * a] + shift_x;
+ // y1
+ all_anchors_ptr[anchor_id * 4 + 1] = anchors_ptr[4 * a + 1] + shift_y;
+ // x2
+ all_anchors_ptr[anchor_id * 4 + 2] = anchors_ptr[4 * a + 2] + shift_x;
+ // y2
+ all_anchors_ptr[anchor_id * 4 + 3] = anchors_ptr[4 * a + 3] + shift_y;
+ }
+ }
+ }
+ return all_anchors;
+}
+template SimpleTensor<float> compute_all_anchors(const SimpleTensor<float> &anchors, const ComputeAnchorsInfo &info);
+template SimpleTensor<half> compute_all_anchors(const SimpleTensor<half> &anchors, const ComputeAnchorsInfo &info);
+} // namespace reference
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
diff --git a/tests/validation/reference/ComputeAllAnchors.h b/tests/validation/reference/ComputeAllAnchors.h
new file mode 100644
index 0000000..8fa5eab
--- /dev/null
+++ b/tests/validation/reference/ComputeAllAnchors.h
@@ -0,0 +1,45 @@
+/*
+ * Copyright (c) 2019 ARM Limited.
+ *
+ * SPDX-License-Identifier: MIT
+ *
+ * Permission is hereby granted, free of charge, to any person obtaining a copy
+ * of this software and associated documentation files (the "Software"), to
+ * deal in the Software without restriction, including without limitation the
+ * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
+ * sell copies of the Software, and to permit persons to whom the Software is
+ * furnished to do so, subject to the following conditions:
+ *
+ * The above copyright notice and this permission notice shall be included in all
+ * copies or substantial portions of the Software.
+ *
+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+ * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+ * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+ * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+ * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+ * SOFTWARE.
+ */
+#ifndef __ARM_COMPUTE_TEST_COMPUTEALLANCHORS_H__
+#define __ARM_COMPUTE_TEST_COMPUTEALLANCHORS_H__
+
+#include "arm_compute/core/Types.h"
+#include "arm_compute/core/utils/misc/ShapeCalculator.h"
+#include "tests/validation/Helpers.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+namespace reference
+{
+template <typename T>
+SimpleTensor<T> compute_all_anchors(const SimpleTensor<T> &anchors, const ComputeAnchorsInfo &info);
+} // namespace reference
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
+#endif /* __ARM_COMPUTE_TEST_COMPUTEALLANCHORS_H__ */