COMPMID-1537: Fix weights retention in CLFullyConnectedLayer

Change-Id: Id978c34889b86fa8b9184d3349cc9b12837141a2
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/145403
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Tested-by: Jenkins <bsgcomp@arm.com>

1 files changed, 150 insertions, 0 deletions

diff --git a/tests/validation/fixtures/UNIT/WeightsRetentionFixture.h b/tests/validation/fixtures/UNIT/WeightsRetentionFixture.h
new file mode 100644
index 0000000000..b17c003342
--- /dev/null
+++ b/tests/validation/fixtures/UNIT/WeightsRetentionFixture.h
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+/*
+ * Copyright (c) 2017-2018 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_UNIT_WEIGHTS_RETENTION
+#define ARM_COMPUTE_TEST_UNIT_WEIGHTS_RETENTION
+
+#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/FullyConnectedLayer.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+/** Test case to run a fully connected layer with weights retention, reconfigure
+ *  with different shapes and rerun making sure the weights are retained.
+ *
+ * Runs a fully connected layer stimulating is_interleaved_transpose CLGEMM,
+ * then reconfigures with different batch size and reruns.
+ */
+template <typename TensorType, typename AccessorType, typename FullyConnectedFunction>
+class WeightsRetentionReconfigureTestCaseFixture : public framework::Fixture
+{
+    using T = float;
+
+public:
+    void setup()
+    {
+        _max_batches = 8;
+        _cur_batches = 6;
+        _target      = compute_target();
+        _reference   = compute_reference();
+    };
+
+protected:
+    template <typename U>
+    void fill(U &&tensor, int i)
+    {
+        std::uniform_real_distribution<> distribution(0.5f, 1.f);
+        library->fill(tensor, distribution, i);
+    }
+
+    TensorType compute_target()
+    {
+        // Create tensors
+        TensorType w1  = create_tensor<TensorType>(TensorShape(180000U, 150U), DataType::F32, 1);
+        TensorType b1  = create_tensor<TensorType>(TensorShape(150U), DataType::F32, 1);
+        TensorType src = create_tensor<TensorType>(TensorShape(1U, 150U, 1200U, _max_batches), DataType::F32, 1);
+        TensorType dst = create_tensor<TensorType>(TensorShape(150U, _max_batches), DataType::F32, 1);
+
+        // Create and configure function
+        FullyConnectedFunction fc_layer_1;
+        fc_layer_1.configure(&src, &w1, &b1, &dst);
+
+        // Allocate persistent tensors
+        w1.allocator()->allocate();
+        b1.allocator()->allocate();
+
+        // Allocate tensors (1st iteration)
+        src.allocator()->allocate();
+        dst.allocator()->allocate();
+
+        // Fill tensors (1st iteration)
+        fill(AccessorType(src), 0);
+        fill(AccessorType(w1), 1);
+        fill(AccessorType(b1), 2);
+
+        // Compute functions (1st iteration)
+        fc_layer_1.run();
+
+        // Update tensor shapes (2nd iteration)
+        auto src_padding     = src.allocator()->info().padding();
+        auto dst_padding     = dst.allocator()->info().padding();
+        int  diff            = _max_batches - _cur_batches;
+        auto new_src_padding = PaddingSize(src_padding.top, src_padding.right, src_padding.bottom + diff, src_padding.left);
+        auto new_dst_padding = PaddingSize(dst_padding.top, dst_padding.right, dst_padding.bottom + diff, dst_padding.left);
+        src.allocator()->info().set_tensor_shape(TensorShape(1U, 150U, 1200U, _cur_batches)).set_is_resizable(true).extend_padding(new_src_padding);
+        src.allocator()->info().set_is_resizable(false);
+        dst.allocator()->info().set_tensor_shape(TensorShape(150U, _cur_batches)).set_is_resizable(true).extend_padding(new_dst_padding);
+        dst.allocator()->info().set_is_resizable(false);
+
+        // Configure FC info
+        FullyConnectedLayerInfo fc_info;
+        fc_info.retain_internal_weights = true;
+
+        // Configure functions (2nd iteration)
+        fc_layer_1.configure(&src, &w1, &b1, &dst, fc_info);
+
+        // Fill tensors (2nd iteration)
+        fill(AccessorType(src), 5);
+
+        // Compute functions (2nd iteration)
+        fc_layer_1.run();
+
+        return dst;
+    }
+
+    SimpleTensor<T> compute_reference()
+    {
+        // Create reference
+        SimpleTensor<T> w1{ TensorShape(180000U, 150U), DataType::F32 };
+        SimpleTensor<T> b1{ TensorShape(150U), DataType::F32 };
+        SimpleTensor<T> src{ TensorShape(1U, 150U, 1200U, _cur_batches), DataType::F32 };
+
+        // Fill reference
+        fill(src, 5);
+        fill(w1, 1);
+        fill(b1, 2);
+
+        return reference::fully_connected_layer(src, w1, b1, TensorShape(150U, _cur_batches));
+    }
+
+protected:
+    TensorType      _target{};
+    SimpleTensor<T> _reference{};
+    unsigned int    _max_batches{};
+    unsigned int    _cur_batches{};
+};
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_UNIT_WEIGHTS_RETENTION */