arm_compute v20.05
diff --git a/tests/validation/reference/QLSTMLayerNormalization.cpp b/tests/validation/reference/QLSTMLayerNormalization.cpp
new file mode 100644
index 0000000..dd6517f
--- /dev/null
+++ b/tests/validation/reference/QLSTMLayerNormalization.cpp
@@ -0,0 +1,99 @@
+/*
+ * Copyright (c) 2020 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 "QLSTMLayerNormalization.h"
+#include "ArithmeticOperations.h"
+#include "MeanStdDevNormalizationLayer.h"
+#include "PixelWiseMultiplication.h"
+#include "arm_compute/core/utils/misc/Utility.h"
+#include "src/core/utils/quantization/AsymmHelpers.cpp"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+namespace reference
+{
+SimpleTensor<int16_t> qlstm_layer_normalization(const SimpleTensor<int16_t> &src, const SimpleTensor<int16_t> &weight, const SimpleTensor<int32_t> &bias)
+{
+ ARM_COMPUTE_ERROR_ON(src.shape().num_dimensions() > 2);
+ SimpleTensor<int16_t> output{ src.shape(), DataType::QSYMM16 };
+
+ const auto wq_info = weight.quantization_info().uniform();
+ int output_multiplier{};
+ int output_shift{};
+ const auto s = quantization::calculate_quantized_multiplier(wq_info.scale, &output_multiplier, &output_shift);
+ output_shift *= -1;
+
+ if(!bool(s))
+ {
+ output_multiplier = 0;
+ output_shift = 0;
+ }
+
+ const uint32_t num_batch = src.shape()[1];
+ const uint32_t num_input = src.shape()[0];
+
+ for(uint32_t batch_idx = 0; batch_idx < num_batch; ++batch_idx)
+ {
+ int64_t sum{};
+ int64_t sum_sq{};
+
+ for(uint32_t input_idx = 0; input_idx < num_input; ++input_idx)
+ {
+ const auto index = batch_idx * num_input + input_idx;
+ const auto val = static_cast<int32_t>(src[index]);
+ sum += val;
+ sum_sq += val * val;
+ }
+
+ const auto temp = static_cast<int64_t>(0x100000) / num_input;
+ const auto mean = sum * 1024 / static_cast<int64_t>(num_input);
+ const auto variance = ((sum_sq * temp) - (mean * mean)) / 0x100000;
+
+ int32_t stddev_invsqrt_mul{};
+ int32_t stddev_invsqrt_shift{};
+ quantization::get_invsqrt_quantized_multiplier_exp(variance, -1, stddev_invsqrt_mul, stddev_invsqrt_shift);
+
+ for(uint32_t input_idx = 0; input_idx < num_input; ++input_idx)
+ {
+ const auto index = batch_idx * num_input + input_idx;
+ const auto val = static_cast<int32_t>(src[index]);
+ const auto shifted = (val << 10) - mean;
+ const auto rescaled = quantization::multiply_by_quantized_multiplier(shifted, stddev_invsqrt_mul, stddev_invsqrt_shift);
+ const int64_t weighted = rescaled * weight[input_idx] + bias[input_idx];
+ const auto reverse_shifted = static_cast<int32_t>((weighted + 512) >> 10);
+ auto out_val = quantization::multiply_by_quantized_multiplier(reverse_shifted, output_multiplier, output_shift + 12);
+ out_val = arm_compute::utility::clamp<decltype(out_val), int16_t>(out_val, std::numeric_limits<int16_t>::min());
+ output[index] = static_cast<int16_t>(out_val);
+ }
+ }
+ return output;
+}
+} // namespace reference
+} // namespace validation
+} // namespace test
+} // namespace arm_compute