From adfb2737046028c042f0aecaff87733a442da29f Mon Sep 17 00:00:00 2001
From: John Kesapides <john.kesapides@arm.com>
Date: Mon, 4 Mar 2019 16:29:22 +0000
Subject: COMPMID-1935	Add support for QASYMM8 in NEQuantizeLayer

Change-Id: I2b63a644d8e34f91c830d9ac398debcbdca3e497
Signed-off-by: John Kesapides <john.kesapides@arm.com>
Reviewed-on: https://review.mlplatform.org/c/829
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
---
 .../validation/fixtures/QuantizationLayerFixture.h | 65 +++++++++++++++++++++-
 1 file changed, 64 insertions(+), 1 deletion(-)

(limited to 'tests/validation/fixtures')

diff --git a/tests/validation/fixtures/QuantizationLayerFixture.h b/tests/validation/fixtures/QuantizationLayerFixture.h
index 8590b7193b..65de405788 100644
--- a/tests/validation/fixtures/QuantizationLayerFixture.h
+++ b/tests/validation/fixtures/QuantizationLayerFixture.h
@@ -1,5 +1,5 @@
 /*
- * Copyright (c) 2017-2018 ARM Limited.
+ * Copyright (c) 2017-2019 ARM Limited.
  *
  * SPDX-License-Identifier: MIT
  *
@@ -103,6 +103,69 @@ protected:
     TensorType            _target{};
     SimpleTensor<uint8_t> _reference{};
 };
+
+template <typename TensorType, typename AccessorType, typename FunctionType, typename T>
+class QAsymm8QuantizationValidationFixture : public framework::Fixture
+{
+public:
+    template <typename...>
+    void setup(TensorShape shape, DataType data_type, QuantizationInfo quant_info)
+    {
+        _target    = compute_target(shape, data_type, quant_info);
+        _reference = compute_reference(shape, data_type, quant_info);
+    }
+
+protected:
+    template <typename U>
+    void fill(U &&tensor)
+    {
+        library->fill_tensor_uniform(tensor, 0);
+    }
+
+    TensorType compute_target(const TensorShape &shape, DataType data_type, QuantizationInfo quant_info)
+    {
+        // Create tensors
+        TensorType src = create_tensor<TensorType>(shape, data_type);
+        TensorType dst = create_tensor<TensorType>(shape, DataType::QASYMM8, 1, quant_info);
+
+        // Create and configure function
+        FunctionType quantization_layer;
+        quantization_layer.configure(&src, &dst);
+
+        ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
+        ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);
+
+        // Allocate tensors
+        src.allocator()->allocate();
+        dst.allocator()->allocate();
+
+        ARM_COMPUTE_EXPECT(!src.info()->is_resizable(), framework::LogLevel::ERRORS);
+        ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS);
+
+        // Fill tensors
+        fill(AccessorType(src));
+
+        // Compute function
+        quantization_layer.run();
+
+        return dst;
+    }
+
+    SimpleTensor<uint8_t> compute_reference(const TensorShape &shape, DataType data_type, QuantizationInfo quant_info)
+    {
+        // Create reference
+        SimpleTensor<T> src{ shape, data_type };
+
+        // Fill reference
+        fill(src);
+
+        return reference::quantization_layer<T>(src, quant_info);
+    }
+
+    TensorType            _target{};
+    SimpleTensor<uint8_t> _reference{};
+};
+
 } // namespace validation
 } // namespace test
 } // namespace arm_compute
-- 
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