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authorGeorgios Pinitas <georgios.pinitas@arm.com>2018-08-29 12:53:41 +0100
committerAnthony Barbier <anthony.barbier@arm.com>2018-11-02 16:54:54 +0000
commitaa6a04a56f21ab8de23b24c5f9ee7cafeaef8320 (patch)
treee76cb18abd16960003b30da377bd5422847287b3 /arm_compute
parent72686fa6ee0f04d458ed2274b4d34917628ef14d (diff)
downloadComputeLibrary-aa6a04a56f21ab8de23b24c5f9ee7cafeaef8320.tar.gz
COMPMID-1528: Add ReorgLayer on NEON
Change-Id: I44369b4a716767163e2233b7d87bff300c523383 Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/146314 Reviewed-by: Pablo Tello <pablo.tello@arm.com> Tested-by: Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'arm_compute')
-rw-r--r--arm_compute/core/NEON/NEKernels.h1
-rw-r--r--arm_compute/core/NEON/kernels/NEReorgLayerKernel.h96
-rw-r--r--arm_compute/core/utils/misc/ShapeCalculator.h16
-rw-r--r--arm_compute/runtime/NEON/NEFunctions.h1
-rw-r--r--arm_compute/runtime/NEON/functions/NEReorgLayer.h58
5 files changed, 172 insertions, 0 deletions
diff --git a/arm_compute/core/NEON/NEKernels.h b/arm_compute/core/NEON/NEKernels.h
index 8664c7732c..bbeb604140 100644
--- a/arm_compute/core/NEON/NEKernels.h
+++ b/arm_compute/core/NEON/NEKernels.h
@@ -102,6 +102,7 @@
#include "arm_compute/core/NEON/kernels/NEROIPoolingLayerKernel.h"
#include "arm_compute/core/NEON/kernels/NEReductionOperationKernel.h"
#include "arm_compute/core/NEON/kernels/NERemapKernel.h"
+#include "arm_compute/core/NEON/kernels/NEReorgLayerKernel.h"
#include "arm_compute/core/NEON/kernels/NEReshapeLayerKernel.h"
#include "arm_compute/core/NEON/kernels/NEScaleKernel.h"
#include "arm_compute/core/NEON/kernels/NEScharr3x3Kernel.h"
diff --git a/arm_compute/core/NEON/kernels/NEReorgLayerKernel.h b/arm_compute/core/NEON/kernels/NEReorgLayerKernel.h
new file mode 100644
index 0000000000..323ab342b2
--- /dev/null
+++ b/arm_compute/core/NEON/kernels/NEReorgLayerKernel.h
@@ -0,0 +1,96 @@
+/*
+ * Copyright (c) 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_NEREORGLAYERKERNEL_H__
+#define __ARM_COMPUTE_NEREORGLAYERKERNEL_H__
+
+#include "arm_compute/core/NEON/INEKernel.h"
+
+namespace arm_compute
+{
+// Forward declarations
+class ITensor;
+
+/** Interface for the kernel to perform tensor re-organization */
+class NEReorgLayerKernel : public INEKernel
+{
+public:
+ const char *name() const override
+ {
+ return "NEReorgLayerKernel";
+ }
+ /** Default constructor */
+ NEReorgLayerKernel();
+ /** Prevent instances of this class from being copied (As this class contains pointers) */
+ NEReorgLayerKernel(const NEReorgLayerKernel &) = delete;
+ /** Prevent instances of this class from being copied (As this class contains pointers) */
+ NEReorgLayerKernel &operator=(const NEReorgLayerKernel &) = delete;
+ /** Default Move Constructor. */
+ NEReorgLayerKernel(NEReorgLayerKernel &&) = default;
+ /** Default move assignment operator */
+ NEReorgLayerKernel &operator=(NEReorgLayerKernel &&) = default;
+ /** Default destructor */
+ ~NEReorgLayerKernel() = default;
+ /** Set the input and output of the kernel
+ *
+ * @param[in] input Source tensor. Data type supported: U8/S8/U16/S16/QASYMM8/U32/S32/F16/F32
+ * @param[out] output Destination tensor. Data type supported: Same as @p input
+ * @param[in] stride Stride to be used during data re-organization
+ */
+ void configure(const ITensor *input, ITensor *output, int32_t stride);
+
+ /** Static function to check if given info will lead to a valid configuration of @ref NEReshapeLayerKernel
+ *
+ * @param[in] input Source tensor info. Data type supported: U8/S8/U16/S16/QASYMM8/U32/S32/F16/F32
+ * @param[in] output Destination tensor info. Data type supported: Same as @p input
+ * @param[in] stride Stride to be used during data re-organization
+ *
+ * @return a status
+ */
+ static Status validate(const ITensorInfo *input, const ITensorInfo *output, int32_t stride);
+
+ // Inherited methods overridden:
+ void run(const Window &window, const ThreadInfo &info) override;
+
+private:
+ /** Template function to run the reorg
+ *
+ * @param[in] window Region on which to execute the kernel. (Must be a valid region of the window returned by window()).
+ */
+ template <typename T>
+ void run_reorg(const Window &window);
+
+ /** Common signature for all the specialised reorg functions
+ *
+ * @param[in] window Region on which to execute the kernel.
+ */
+ using ReorgFunctionPtr = void (NEReorgLayerKernel::*)(const Window &window);
+
+private:
+ ReorgFunctionPtr _func;
+ const ITensor *_input;
+ ITensor *_output;
+ int32_t _stride;
+};
+} // namespace arm_compute
+#endif /*__ARM_COMPUTE_NEREORGLAYERKERNEL_H__ */
diff --git a/arm_compute/core/utils/misc/ShapeCalculator.h b/arm_compute/core/utils/misc/ShapeCalculator.h
index 1a86d27727..9c7cfecd4c 100644
--- a/arm_compute/core/utils/misc/ShapeCalculator.h
+++ b/arm_compute/core/utils/misc/ShapeCalculator.h
@@ -57,6 +57,22 @@ inline TensorShape compute_permutation_output_shape(const ITensorInfo &input, co
permute(output_shape, perm);
return output_shape;
}
+inline TensorShape compute_reorg_output_shape(const ITensorInfo &input, int32_t stride)
+{
+ ARM_COMPUTE_ERROR_ON(stride <= 0);
+
+ const DataLayout data_layout = input.data_layout();
+ const unsigned int width_idx = get_data_layout_dimension_index(data_layout, DataLayoutDimension::WIDTH);
+ const unsigned int height_idx = get_data_layout_dimension_index(data_layout, DataLayoutDimension::HEIGHT);
+ const unsigned int channel_idx = get_data_layout_dimension_index(data_layout, DataLayoutDimension::CHANNEL);
+
+ TensorShape output_shape{ input.tensor_shape() };
+ output_shape.set(width_idx, input.tensor_shape()[width_idx] / stride);
+ output_shape.set(height_idx, input.tensor_shape()[height_idx] / stride);
+ output_shape.set(channel_idx, input.tensor_shape()[channel_idx] * stride * stride);
+
+ return output_shape;
+}
inline TensorShape compute_weights_reshaped_shape(const ITensorInfo &weights, bool has_bias = false, unsigned int num_groups = 1)
{
// Number of groups greater than one are only supported for NCHW data layout, and the number of weights must be a multiple of it.
diff --git a/arm_compute/runtime/NEON/NEFunctions.h b/arm_compute/runtime/NEON/NEFunctions.h
index dabd78c256..89a5c4aaaf 100644
--- a/arm_compute/runtime/NEON/NEFunctions.h
+++ b/arm_compute/runtime/NEON/NEFunctions.h
@@ -103,6 +103,7 @@
#include "arm_compute/runtime/NEON/functions/NEROIPoolingLayer.h"
#include "arm_compute/runtime/NEON/functions/NEReductionOperation.h"
#include "arm_compute/runtime/NEON/functions/NERemap.h"
+#include "arm_compute/runtime/NEON/functions/NEReorgLayer.h"
#include "arm_compute/runtime/NEON/functions/NEReshapeLayer.h"
#include "arm_compute/runtime/NEON/functions/NEScale.h"
#include "arm_compute/runtime/NEON/functions/NEScharr3x3.h"
diff --git a/arm_compute/runtime/NEON/functions/NEReorgLayer.h b/arm_compute/runtime/NEON/functions/NEReorgLayer.h
new file mode 100644
index 0000000000..f29b2f1964
--- /dev/null
+++ b/arm_compute/runtime/NEON/functions/NEReorgLayer.h
@@ -0,0 +1,58 @@
+/*
+ * Copyright (c) 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_NEREORGLAYER_H__
+#define __ARM_COMPUTE_NEREORGLAYER_H__
+
+#include "arm_compute/core/Types.h"
+#include "arm_compute/runtime/NEON/INESimpleFunction.h"
+
+namespace arm_compute
+{
+// Forward declarations
+class ITensor;
+
+/** Basic function to run @ref NEReorgLayerKernel */
+class NEReorgLayer : public INESimpleFunction
+{
+public:
+ /** Initialise the kernel's inputs and outputs
+ *
+ * @param[in] input First tensor input. Data type supported: U8/S8/QASYMM8//U16/S16/U32/S32/F16/F32
+ * @param[out] output Output tensor. Data type supported: Same as @p input
+ * @param[in] stride Stride to be used during data re-organization
+ */
+ void configure(const ITensor *input, ITensor *output, int32_t stride);
+
+ /** Static function to check if given info will lead to a valid configuration of @ref NEReorgLayer
+ *
+ * @param[in] input First tensor info. Data type supported: U8/S8/QASYMM8//U16/S16/U32/S32/F16/F32
+ * @param[in] output Output tensor info. Data type supported: Same as @p input
+ * @param[in] stride Stride to be used during data re-organization
+ *
+ * @return a status
+ */
+ static Status validate(const ITensorInfo *input, const ITensorInfo *output, int32_t stride);
+};
+} // namespace arm_compute
+#endif /*__ARM_COMPUTE_NEREORGLAYER_H__ */