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authorMichele Di Giorgio <michele.digiorgio@arm.com>2017-06-21 15:36:24 +0100
committerAnthony Barbier <anthony.barbier@arm.com>2018-09-17 14:15:39 +0100
commitab0a77edcb9f48de2aad216323b791d0dd95a3cd (patch)
treedab2444a8f4ef70db08c7561b4b5f92648971a59
parentccc65d44a53eaa61c718cbc4d826c811e2ccebda (diff)
downloadComputeLibrary-ab0a77edcb9f48de2aad216323b791d0dd95a3cd.tar.gz
COMPMID-409: Add support for QS8 and QS16 CLPixelWiseMultiplication.
Change-Id: I7f66d49d746ba9fb6e726ccab83d3a97b8ddef80 Reviewed-on: http://mpd-gerrit.cambridge.arm.com/78491 Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com> Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>
-rw-r--r--arm_compute/core/CL/kernels/CLPixelWiseMultiplicationKernel.h8
-rw-r--r--src/core/CL/cl_kernels/fixed_point.h36
-rw-r--r--src/core/CL/cl_kernels/pixelwise_mul_int.cl39
-rw-r--r--src/core/CL/kernels/CLPixelWiseMultiplicationKernel.cpp38
-rw-r--r--src/core/NEON/kernels/NEPixelWiseMultiplicationKernel.cpp2
-rw-r--r--tests/validation/CL/PixelWiseMultiplication.cpp146
-rw-r--r--tests/validation/NEON/PixelWiseMultiplication.cpp8
7 files changed, 244 insertions, 33 deletions
diff --git a/arm_compute/core/CL/kernels/CLPixelWiseMultiplicationKernel.h b/arm_compute/core/CL/kernels/CLPixelWiseMultiplicationKernel.h
index 6fbbe95219..a5909d1511 100644
--- a/arm_compute/core/CL/kernels/CLPixelWiseMultiplicationKernel.h
+++ b/arm_compute/core/CL/kernels/CLPixelWiseMultiplicationKernel.h
@@ -49,11 +49,11 @@ public:
CLPixelWiseMultiplicationKernel &operator=(CLPixelWiseMultiplicationKernel &&) = default;
/** Initialise the kernel's input, output and border mode.
*
- * @param[in] input1 An input tensor. Data types supported: U8, S16, F16, F32.
- * @param[in] input2 An input tensor. Data types supported: U8, S16, F16, F32.
- * @param[out] output The output tensor, Data types supported: U8 (Only if both inputs are U8), S16, F16, F32.
+ * @param[in] input1 An input tensor. Data types supported: U8/QS8/QS16/S16/F16/F32.
+ * @param[in] input2 An input tensor. Data types supported: same as @p input1.
+ * @param[out] output The output tensor, Data types supported: same as @p input1. Note: U8 (QS8, QS16) requires both inputs to be U8 (QS8, QS16).
* @param[in] scale Scale to apply after multiplication.
- * Scale must be positive and its value must be either 1/255 or 1/2^n where n is between 0 and 15.
+ * Scale must be positive and its value must be either 1/255 or 1/2^n where n is between 0 and 15. For QS8 and QS16 scale must be 1.
* @param[in] overflow_policy Overflow policy. Supported overflow policies: Wrap, Saturate
* @param[in] rounding_policy Rounding policy. Supported rounding modes: to zero, to nearest even.
*/
diff --git a/src/core/CL/cl_kernels/fixed_point.h b/src/core/CL/cl_kernels/fixed_point.h
index dcdf840444..b0dab0affc 100644
--- a/src/core/CL/cl_kernels/fixed_point.h
+++ b/src/core/CL/cl_kernels/fixed_point.h
@@ -162,13 +162,34 @@ SUBQ_SAT_IMPL(qs8x16)
#define SUB_SAT_OP_EXPAND_STR(a, b, type, size) sub_sat_##type##x##size((a), (b))
#define SUB_SAT_OP_EXPAND(a, b, type, size) SUB_SAT_OP_EXPAND_STR(a, b, type, size)
-/** Saturate multiply of two fixed point numbers
- *
- * @param[in] type the actual data type.
- * @param[in] itype the intermediate data type.
- *
- * @return The result of the fixed point multiplication. The result is saturated in case of overflow
- */
+/* Multiply of two fixed point numbers
+ *
+ * @param[in] type the actual data type.
+ * @param[in] itype the intermediate data type.
+ *
+ * @return The result of the fixed point multiplication.
+ */
+#define MULQ_IMPL(type, itype) \
+ inline type mul_##type(type VopA, type VopB, int fixed_point_position) \
+ { \
+ itype round_val = (itype)(1 << (fixed_point_position - 1)); \
+ itype res = CONVERT((VopA), itype) * CONVERT((VopB), itype) + round_val; \
+ return CONVERT((res >> (itype)fixed_point_position), type); \
+ }
+
+MULQ_IMPL(qs8x16, qs16x16)
+MULQ_IMPL(qs16x16, qs32x16)
+
+#define MUL_OP_EXPAND_STR(a, b, type, size, position) mul_##type##x##size((a), (b), (position))
+#define MUL_OP_EXPAND(a, b, type, size, position) MUL_OP_EXPAND_STR(a, b, type, size, position)
+
+/* Saturate multiply of two fixed point numbers
+ *
+ * @param[in] type the actual data type.
+ * @param[in] itype the intermediate data type.
+ *
+ * @return The result of the fixed point multiplication. The result is saturated in case of overflow
+ */
#define MULQ_SAT_IMPL(type, itype) \
inline type mul_sat_##type(type VopA, type VopB, int fixed_point_position) \
{ \
@@ -179,6 +200,7 @@ SUBQ_SAT_IMPL(qs8x16)
MULQ_SAT_IMPL(qs8x16, qs16x16)
MULQ_SAT_IMPL(qs16x8, qs32x8)
+MULQ_SAT_IMPL(qs16x16, qs32x16)
#define MUL_SAT_OP_EXPAND_STR(a, b, type, size, position) mul_sat_##type##x##size((a), (b), (position))
#define MUL_SAT_OP_EXPAND(a, b, type, size, position) MUL_SAT_OP_EXPAND_STR(a, b, type, size, position)
diff --git a/src/core/CL/cl_kernels/pixelwise_mul_int.cl b/src/core/CL/cl_kernels/pixelwise_mul_int.cl
index e6dfd3043d..a407a3264e 100644
--- a/src/core/CL/cl_kernels/pixelwise_mul_int.cl
+++ b/src/core/CL/cl_kernels/pixelwise_mul_int.cl
@@ -23,12 +23,28 @@
*/
#include "helpers.h"
-#ifdef SATURATE
-#define CONVERT_OP_INT_STR(x, type) (convert_##type##_sat(x))
-#else /* SATURATE */
-#define CONVERT_OP_INT_STR(x, type) (convert_##type(x))
-#endif /* SATURATE */
-#define CONVERT_OP_INT(x, type) CONVERT_OP_INT_STR(x, type)
+#if defined(FIXED_POINT_POSITION)
+
+#include "fixed_point.h"
+
+#if defined(SATURATE)
+#define MUL_OP(x, y, scale, type, size) MUL_SAT_OP_EXPAND((x), (y), type, size, FIXED_POINT_POSITION)
+#else // SATURATE
+#define MUL_OP(x, y, scale, type, size) MUL_OP_EXPAND((x), (y), type, size, FIXED_POINT_POSITION)
+#endif // SATURATE
+
+#else // FIXED_POINT_POSITION
+
+#if defined(SATURATE)
+#define CONVERT_OP_INT_STR(x, type, size) (convert_##type##size##_sat(x))
+#else // SATURATE
+#define CONVERT_OP_INT_STR(x, type, size) (convert_##type##size(x))
+#endif // SATURATE
+#define CONVERT_OP_INT(x, type, size) CONVERT_OP_INT_STR(x, type, size)
+
+#define MUL_OP(x, y, scale, type, size) CONVERT_OP_INT((x) * (y) >> scale, type, size)
+
+#endif // FIXED_POINT_POSITION
/** Performs a pixelwise multiplication with integer scale of integer inputs.
*
@@ -36,26 +52,27 @@
* e.g. -DDATA_TYPE_IN1=uchar -DDATA_TYPE_IN2=ushort -DDATA_TYPE_OUT=short
* @attention The data_type of the intermediate result of the multiplication should passed as well using -DDATA_TYPE_RES.
* e.g. If one of inputs is S16 -DDATA_TYPE_RES=int should be passed else -DDATA_TYPE_RES=short.
+ * @note In case of fixed-point operation -DFIXED_POINT_POSITION=fixed_point_position must be provided: e.g. -DFIXED_POINT_POSITION=3
*
- * @param[in] in1_ptr Pointer to the source image. Supported data types: U8, S16
+ * @param[in] in1_ptr Pointer to the source image. Supported data types: U8/QS8/QS16/S16
* @param[in] in1_stride_x Stride of the source image in X dimension (in bytes)
* @param[in] in1_step_x in1_stride_x * number of elements along X processed per workitem(in bytes)
* @param[in] in1_stride_y Stride of the source image in Y dimension (in bytes)
* @param[in] in1_step_y in1_stride_y * number of elements along Y processed per workitem(in bytes)
* @param[in] in1_offset_first_element_in_bytes The offset of the first element in the source image
- * @param[in] in2_ptr Pointer to the source image. Supported data types: U8, S16
+ * @param[in] in2_ptr Pointer to the source image. Supported data types: same as @p in1_ptr
* @param[in] in2_stride_x Stride of the source image in X dimension (in bytes)
* @param[in] in2_step_x in2_stride_x * number of elements along X processed per workitem(in bytes)
* @param[in] in2_stride_y Stride of the source image in Y dimension (in bytes)
* @param[in] in2_step_y in2_stride_y * number of elements along Y processed per workitem(in bytes)
* @param[in] in2_offset_first_element_in_bytes The offset of the first element in the source image
- * @param[out] out_ptr Pointer to the destination image. Supported data types: U8, S16
+ * @param[out] out_ptr Pointer to the destination image. Supported data types: same as @p in1_ptr
* @param[in] out_stride_x Stride of the destination image in X dimension (in bytes)
* @param[in] out_step_x out_stride_x * number of elements along X processed per workitem(in bytes)
* @param[in] out_stride_y Stride of the destination image in Y dimension (in bytes)
* @param[in] out_step_y out_stride_y * number of elements along Y processed per workitem(in bytes)
* @param[in] out_offset_first_element_in_bytes The offset of the first element in the destination image
- * @param[in] scale Integer scaling factor. Supported data types: S32
+ * @param[in] scale Integer scaling factor. Supported data types: S32 (ignored for QS8 and QS16 as the assumption is scale = 1).
*/
__kernel void pixelwise_mul_int(
IMAGE_DECLARATION(in1),
@@ -75,5 +92,5 @@ __kernel void pixelwise_mul_int(
in2_data = CONVERT(vload16(0, (__global DATA_TYPE_IN2 *)in2.ptr), VEC_DATA_TYPE(DATA_TYPE_RES, 16));
// Perform multiplication and store result
- vstore16(CONVERT_OP_INT(((in1_data * in2_data) >> scale), VEC_DATA_TYPE(DATA_TYPE_OUT, 16)), 0, (__global DATA_TYPE_OUT *)out.ptr);
+ vstore16(MUL_OP(in1_data, in2_data, scale, DATA_TYPE_OUT, 16), 0, (__global DATA_TYPE_OUT *)out.ptr);
}
diff --git a/src/core/CL/kernels/CLPixelWiseMultiplicationKernel.cpp b/src/core/CL/kernels/CLPixelWiseMultiplicationKernel.cpp
index da417a9020..b95e8fac73 100644
--- a/src/core/CL/kernels/CLPixelWiseMultiplicationKernel.cpp
+++ b/src/core/CL/kernels/CLPixelWiseMultiplicationKernel.cpp
@@ -65,12 +65,19 @@ void CLPixelWiseMultiplicationKernel::configure(const ICLTensor *input1, const I
}
ARM_COMPUTE_ERROR_ON_MISMATCHING_SHAPES(input1, input2, output);
- ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input1, 1, DataType::U8, DataType::S16, DataType::F16, DataType::F32);
- ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input2, 1, DataType::U8, DataType::S16, DataType::F16, DataType::F32);
- ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output, 1, DataType::U8, DataType::S16, DataType::F16, DataType::F32);
+ ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input1, 1, DataType::U8, DataType::QS8, DataType::QS16, DataType::S16, DataType::F16, DataType::F32);
+ ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input2, 1, DataType::U8, DataType::QS8, DataType::QS16, DataType::S16, DataType::F16, DataType::F32);
+ ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output, 1, DataType::U8, DataType::QS8, DataType::QS16, DataType::S16, DataType::F16, DataType::F32);
ARM_COMPUTE_ERROR_ON_MSG(output->info()->data_type() == DataType::U8 && (input1->info()->data_type() != DataType::U8 || input2->info()->data_type() != DataType::U8),
"Output can only be U8 if both inputs are U8");
ARM_COMPUTE_ERROR_ON_MSG(scale < 0, "Scale cannot be negative. ");
+ if(is_data_type_fixed_point(input1->info()->data_type()))
+ {
+ // All data types must be all QS8 or all QS16
+ ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(input1, input2, output);
+ ARM_COMPUTE_ERROR_ON_MISMATCHING_FIXED_POINT_POSITION(input1, input2, output);
+ ARM_COMPUTE_ERROR_ON_MSG(scale != 1, "Unsupported scaling factor for QS8/QS16. Scale must be 1.");
+ }
_input1 = input1;
_input2 = input2;
@@ -96,13 +103,28 @@ void CLPixelWiseMultiplicationKernel::configure(const ICLTensor *input1, const I
if(is_data_type_float(input1->info()->data_type()) || is_data_type_float(input2->info()->data_type()))
{
scale_int = -1;
- compute_type = (DataType::F32 == input1->info()->data_type() || DataType::F32 == input2->info()->data_type()) ? "float" : "half";
+ compute_type = (input1->info()->data_type() == DataType::F32 || input2->info()->data_type() == DataType::F32) ? "float" : "half";
data_type = "DATA_TYPE_FLOAT";
}
else
{
- compute_type = (DataType::S16 == input1->info()->data_type() || DataType::S16 == input2->info()->data_type()) ? "int" : "ushort";
- data_type = "DATA_TYPE_INT";
+ if(input1->info()->data_type() == DataType::S16 || input2->info()->data_type() == DataType::S16)
+ {
+ compute_type = "int";
+ }
+ else if(input1->info()->data_type() == DataType::QS8)
+ {
+ compute_type = "qs8";
+ }
+ else if(input1->info()->data_type() == DataType::QS16)
+ {
+ compute_type = "qs16";
+ }
+ else
+ {
+ compute_type = "ushort";
+ }
+ data_type = "DATA_TYPE_INT";
}
// Construct kernel name
@@ -113,6 +135,10 @@ void CLPixelWiseMultiplicationKernel::configure(const ICLTensor *input1, const I
std::set<std::string> build_opts;
build_opts.emplace((overflow_policy == ConvertPolicy::WRAP || is_data_type_float(output->info()->data_type())) ? "-DWRAP" : "-DSATURATE");
build_opts.emplace((rounding_policy == RoundingPolicy::TO_ZERO) ? "-DROUND=_rtz" : "-DROUND=_rte");
+ if(is_data_type_fixed_point(input1->info()->data_type()))
+ {
+ build_opts.emplace("-DFIXED_POINT_POSITION=" + support::cpp11::to_string(input1->info()->fixed_point_position()));
+ }
build_opts.emplace("-DDATA_TYPE_IN1=" + get_cl_type_from_data_type(input1->info()->data_type()));
build_opts.emplace("-DDATA_TYPE_IN2=" + get_cl_type_from_data_type(input2->info()->data_type()));
build_opts.emplace("-DDATA_TYPE_OUT=" + get_cl_type_from_data_type(output->info()->data_type()));
diff --git a/src/core/NEON/kernels/NEPixelWiseMultiplicationKernel.cpp b/src/core/NEON/kernels/NEPixelWiseMultiplicationKernel.cpp
index 7c9514723b..c3f61ac94a 100644
--- a/src/core/NEON/kernels/NEPixelWiseMultiplicationKernel.cpp
+++ b/src/core/NEON/kernels/NEPixelWiseMultiplicationKernel.cpp
@@ -360,7 +360,7 @@ void NEPixelWiseMultiplicationKernel::configure(const ITensor *input1, const ITe
ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output, 1, DataType::U8, DataType::QS8, DataType::S16, DataType::F32);
ARM_COMPUTE_ERROR_ON_MSG(output->info()->data_type() == DataType::U8 && (input1->info()->data_type() != DataType::U8 || input2->info()->data_type() != DataType::U8),
"Output can only be U8 if both inputs are U8");
- if(output->info()->data_type() == DataType::QS8 || input1->info()->data_type() == DataType::QS8 || output->info()->data_type() == DataType::QS8)
+ if(input1->info()->data_type() == DataType::QS8)
{
// All data types must be QS8
ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(input1, input2, output);
diff --git a/tests/validation/CL/PixelWiseMultiplication.cpp b/tests/validation/CL/PixelWiseMultiplication.cpp
new file mode 100644
index 0000000000..9d921fd65f
--- /dev/null
+++ b/tests/validation/CL/PixelWiseMultiplication.cpp
@@ -0,0 +1,146 @@
+/*
+ * Copyright (c) 2017 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 "CL/CLAccessor.h"
+#include "TypePrinter.h"
+#include "tests/Globals.h"
+#include "tests/Utils.h"
+#include "validation/Datasets.h"
+#include "validation/Reference.h"
+#include "validation/Validation.h"
+
+#include "arm_compute/runtime/CL/functions/CLPixelWiseMultiplication.h"
+
+using namespace arm_compute;
+using namespace arm_compute::test;
+using namespace arm_compute::test::cl;
+using namespace arm_compute::test::validation;
+
+namespace
+{
+const float tolerance_f32 = 1.f; /**< Tolerance value for comparing reference's output against implementation's output for float input */
+
+/** Compute CL pixel-wise multiplication function.
+ *
+ * @param[in] shape Shape of the input and output tensors.
+ * @param[in] dt_in0 Data type of first input tensor.
+ * @param[in] dt_in1 Data type of second input tensor.
+ * @param[in] dt_out Data type of the output tensor.
+ * @param[in] scale Non-negative scale.
+ * @param[in] convert_policy Overflow policy of the operation.
+ * @param[in] rounding_policy Rounding policy of the operation.
+ * @param[in] fixed_point_position (Optional) Fixed point position that expresses the number of bits for the fractional part of the number.
+ *
+ * @return Computed output tensor.
+ */
+CLTensor compute_pixel_wise_multiplication(const TensorShape &shape, DataType dt_in0, DataType dt_in1, DataType dt_out, float scale, ConvertPolicy convert_policy, RoundingPolicy rounding_policy,
+ int fixed_point_position = 0)
+{
+ // Create tensors
+ CLTensor src1 = create_tensor<CLTensor>(shape, dt_in0, 1, fixed_point_position);
+ CLTensor src2 = create_tensor<CLTensor>(shape, dt_in1, 1, fixed_point_position);
+ CLTensor dst = create_tensor<CLTensor>(shape, dt_out, 1, fixed_point_position);
+
+ // Create and configure function
+ CLPixelWiseMultiplication multiply;
+ multiply.configure(&src1, &src2, &dst, scale, convert_policy, rounding_policy);
+
+ // Allocate tensors
+ src1.allocator()->allocate();
+ src2.allocator()->allocate();
+ dst.allocator()->allocate();
+
+ BOOST_TEST(!src1.info()->is_resizable());
+ BOOST_TEST(!src2.info()->is_resizable());
+ BOOST_TEST(!dst.info()->is_resizable());
+
+ // Fill tensors
+ library->fill_tensor_uniform(CLAccessor(src1), 0);
+ library->fill_tensor_uniform(CLAccessor(src2), 1);
+
+ // Compute function
+ multiply.run();
+
+ return dst;
+}
+} // namespace
+
+#ifndef DOXYGEN_SKIP_THIS
+BOOST_AUTO_TEST_SUITE(CL)
+BOOST_AUTO_TEST_SUITE(PixelWiseMultiplication)
+
+BOOST_AUTO_TEST_SUITE(Float)
+BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit"))
+BOOST_DATA_TEST_CASE(RunSmall, SmallShapes() * DataType::F32 *ConvertPolicies() * RoundingPolicy::TO_NEAREST_UP,
+ shape, dt, convert_policy, rounding_policy)
+{
+ constexpr float scale = 1.f / 255.f;
+
+ // Compute function
+ CLTensor dst = compute_pixel_wise_multiplication(shape, dt, dt, dt, scale, convert_policy, rounding_policy);
+
+ // Compute reference
+ RawTensor ref_dst = Reference::compute_reference_pixel_wise_multiplication(shape, dt, dt, dt, scale, convert_policy, rounding_policy);
+
+ // Validate output
+ validate(CLAccessor(dst), ref_dst, tolerance_f32);
+}
+BOOST_AUTO_TEST_SUITE_END()
+
+BOOST_AUTO_TEST_SUITE(Quantized)
+BOOST_AUTO_TEST_SUITE(QS8)
+BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit"))
+BOOST_DATA_TEST_CASE(RunSmall, SmallShapes() * DataType::QS8 *ConvertPolicies() * RoundingPolicy::TO_ZERO * boost::unit_test::data::xrange<int>(1, 7),
+ shape, dt, convert_policy, rounding_policy, fixed_point_position)
+{
+ // Compute function
+ CLTensor dst = compute_pixel_wise_multiplication(shape, dt, dt, dt, 1.f, convert_policy, rounding_policy, fixed_point_position);
+
+ // Compute reference
+ RawTensor ref_dst = Reference::compute_reference_fixed_point_pixel_wise_multiplication(shape, dt, dt, dt, 1.f, fixed_point_position, convert_policy, rounding_policy);
+
+ // Validate output
+ validate(CLAccessor(dst), ref_dst);
+}
+BOOST_AUTO_TEST_SUITE_END()
+
+BOOST_AUTO_TEST_SUITE(QS16)
+BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit"))
+BOOST_DATA_TEST_CASE(RunSmall, SmallShapes() * DataType::QS16 *ConvertPolicies() * RoundingPolicy::TO_ZERO * boost::unit_test::data::xrange<int>(1, 15),
+ shape, dt, convert_policy, rounding_policy, fixed_point_position)
+{
+ // Compute function
+ CLTensor dst = compute_pixel_wise_multiplication(shape, dt, dt, dt, 1.f, convert_policy, rounding_policy, fixed_point_position);
+
+ // Compute reference
+ RawTensor ref_dst = Reference::compute_reference_fixed_point_pixel_wise_multiplication(shape, dt, dt, dt, 1.f, fixed_point_position, convert_policy, rounding_policy);
+
+ // Validate output
+ validate(CLAccessor(dst), ref_dst);
+}
+BOOST_AUTO_TEST_SUITE_END()
+BOOST_AUTO_TEST_SUITE_END()
+
+BOOST_AUTO_TEST_SUITE_END()
+BOOST_AUTO_TEST_SUITE_END()
+#endif // DOXYGEN_SKIP_THIS
diff --git a/tests/validation/NEON/PixelWiseMultiplication.cpp b/tests/validation/NEON/PixelWiseMultiplication.cpp
index f52489fa5b..56417056af 100644
--- a/tests/validation/NEON/PixelWiseMultiplication.cpp
+++ b/tests/validation/NEON/PixelWiseMultiplication.cpp
@@ -49,7 +49,7 @@ using namespace arm_compute::test::validation;
namespace
{
-/** Compute Neon arithmetic addition function.
+/** Compute Neon pixel-wise multiplication function.
*
* @param[in] shape Shape of the input and output tensors.
* @param[in] dt_in0 Data type of first input tensor.
@@ -58,7 +58,7 @@ namespace
* @param[in] scale Non-negative scale.
* @param[in] convert_policy Overflow policy of the operation.
* @param[in] rounding_policy Rounding policy of the operation.
- * @param[in] fixed_point_position Fixed point position that expresses the number of bits for the fractional part of the number.
+ * @param[in] fixed_point_position (Optional) Fixed point position that expresses the number of bits for the fractional part of the number.
*
* @return Computed output tensor.
*/
@@ -314,7 +314,7 @@ BOOST_DATA_TEST_CASE(RunLarge, LargeShapes() * boost::unit_test::data::make({ Da
BOOST_AUTO_TEST_SUITE_END()
BOOST_AUTO_TEST_SUITE_END()
-BOOST_AUTO_TEST_SUITE(F32)
+BOOST_AUTO_TEST_SUITE(Float)
BOOST_AUTO_TEST_SUITE(Scale255)
BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit") * boost::unit_test::label("nightly"))
BOOST_DATA_TEST_CASE(Configuration, (SmallShapes() + LargeShapes()) * (1.f / 255.f) * ConvertPolicies()
@@ -407,7 +407,7 @@ BOOST_DATA_TEST_CASE(RunLarge, LargeShapes() * boost::unit_test::data::make({ 1.
BOOST_AUTO_TEST_SUITE_END()
BOOST_AUTO_TEST_SUITE_END()
-BOOST_AUTO_TEST_SUITE(QS8)
+BOOST_AUTO_TEST_SUITE(Quantized)
BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit"))
BOOST_DATA_TEST_CASE(RunSmall, SmallShapes() * DataType::QS8 *ConvertPolicies() * RoundingPolicy::TO_ZERO * boost::unit_test::data::xrange<int>(1, 7),
shape, dt, convert_policy, rounding_policy, fixed_point_position)