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authorMichele Di Giorgio <michele.digiorgio@arm.com>2019-06-04 18:43:35 +0100
committerMichele Di Giorgio <michele.digiorgio@arm.com>2019-06-11 12:30:16 +0000
commit5b48ad7d43c3d1c2fdbae64beac3f37bc6697338 (patch)
tree6a4f5fd4e510787e8ad7e815330eadfb587b35f8 /arm_compute/core/CL
parent761c8d02ff875877db7aa7c850cf8d128592e822 (diff)
downloadComputeLibrary-5b48ad7d43c3d1c2fdbae64beac3f37bc6697338.tar.gz
COMPMID-2386: Add support for CLMeanStdNormalizationLayer
Change-Id: I0323b2410b222fd08933da22de455e798a60a0b1 Signed-off-by: Michele Di Giorgio <michele.digiorgio@arm.com> Reviewed-on: https://review.mlplatform.org/c/1297 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'arm_compute/core/CL')
-rw-r--r--arm_compute/core/CL/CLKernels.h1
-rw-r--r--arm_compute/core/CL/kernels/CLMeanStdDevNormalizationKernel.h79
2 files changed, 80 insertions, 0 deletions
diff --git a/arm_compute/core/CL/CLKernels.h b/arm_compute/core/CL/CLKernels.h
index 7f625aca67..cd5612c9ae 100644
--- a/arm_compute/core/CL/CLKernels.h
+++ b/arm_compute/core/CL/CLKernels.h
@@ -110,6 +110,7 @@
#include "arm_compute/core/CL/kernels/CLLocallyConnectedMatrixMultiplyKernel.h"
#include "arm_compute/core/CL/kernels/CLMagnitudePhaseKernel.h"
#include "arm_compute/core/CL/kernels/CLMeanStdDevKernel.h"
+#include "arm_compute/core/CL/kernels/CLMeanStdDevNormalizationKernel.h"
#include "arm_compute/core/CL/kernels/CLMedian3x3Kernel.h"
#include "arm_compute/core/CL/kernels/CLMemsetKernel.h"
#include "arm_compute/core/CL/kernels/CLMinMaxLayerKernel.h"
diff --git a/arm_compute/core/CL/kernels/CLMeanStdDevNormalizationKernel.h b/arm_compute/core/CL/kernels/CLMeanStdDevNormalizationKernel.h
new file mode 100644
index 0000000000..1381d431d4
--- /dev/null
+++ b/arm_compute/core/CL/kernels/CLMeanStdDevNormalizationKernel.h
@@ -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.
+ */
+#ifndef __ARM_COMPUTE_CLMEANSTDDEVNORMALIZATIONKERNEL_H__
+#define __ARM_COMPUTE_CLMEANSTDDEVNORMALIZATIONKERNEL_H__
+
+#include "arm_compute/core/CL/ICLKernel.h"
+
+namespace arm_compute
+{
+class ICLTensor;
+
+/** Interface for the kernel to normalize the input 2D tensor across the first dimension with respect to mean and standard deviation of the same dimension. */
+class CLMeanStdDevNormalizationKernel : public ICLKernel
+{
+public:
+ /** Default constructor */
+ CLMeanStdDevNormalizationKernel();
+ /** Prevent instances of this class from being copied (As this class contains pointers) */
+ CLMeanStdDevNormalizationKernel(const CLMeanStdDevNormalizationKernel &) = delete;
+ /** Prevent instances of this class from being copied (As this class contains pointers) */
+ CLMeanStdDevNormalizationKernel &operator=(const CLMeanStdDevNormalizationKernel &) = delete;
+ /** Allow instances of this class to be moved */
+ CLMeanStdDevNormalizationKernel(CLMeanStdDevNormalizationKernel &&) = default;
+ /** Allow instances of this class to be moved */
+ CLMeanStdDevNormalizationKernel &operator=(CLMeanStdDevNormalizationKernel &&) = default;
+ /** Default destructor */
+ ~CLMeanStdDevNormalizationKernel() = default;
+ /** Initialise the kernel's input and outputs.
+ *
+ * @note If the output tensor is a nullptr, the normalization will be performed in-place.
+ *
+ * @param[in, out] input Source tensor with 2 dimensions. In case of @p output tensor = nullptr,
+ * this tensor will store the result of the normalization. Data types supported: F16/F32.
+ * @param[out] output (Optional) Destination tensor. It can be nullptr in case of in-place computation. Data type supported: same as @p input
+ * @param[in] epsilon (Optional) Small float to avoid division by zero in case of zero standard deviation. Defaults to 1e-8.
+ */
+ void configure(ICLTensor *input, ICLTensor *output = nullptr, float epsilon = 1e-8f);
+ /** Static function to check if given info will lead to a valid configuration of @ref CLMeanStdDevNormalizationKernel
+ *
+ * @param[in] input Source tensor info with 2 dimensions. In case of @p output tensor info = nullptr,
+ * this tensor will store the result of the normalization. Data types supported: F16/F32.
+ * @param[in] output (Optional) Destination tensor info. It can be nullptr in case of in-place computation. Data type supported: same as @p input
+ * @param[in] epsilon (Optional) Small float to avoid division by zero in case of zero standard deviation. Defaults to 1e-8.
+ *
+ * @return a status
+ */
+ static Status validate(const ITensorInfo *input, const ITensorInfo *output = nullptr, float epsilon = 1e-8f);
+
+ // Inherited methods overridden:
+ void run(const Window &window, cl::CommandQueue &queue) override;
+
+private:
+ ICLTensor *_input;
+ ICLTensor *_output;
+ bool _run_in_place;
+};
+} // namespace arm_compute
+#endif /* __ARM_COMPUTE_CLMEANSTDDEVNORMALIZATIONKERNEL_H__ */