COMPMID-1539 Implement YOLOLayer on CL
Change-Id: I332c0703e1399fca0c5b724529b54a28f49c88da
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/146842
Tested-by: Jenkins <bsgcomp@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
diff --git a/src/core/CL/cl_kernels/yolo_layer.cl b/src/core/CL/cl_kernels/yolo_layer.cl
new file mode 100644
index 0000000..2240d7c
--- /dev/null
+++ b/src/core/CL/cl_kernels/yolo_layer.cl
@@ -0,0 +1,176 @@
+/*
+ * 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.
+ */
+#if defined(DATA_TYPE) && defined(SELECT_DATA_TYPE) && defined(ACT) && defined(NUM_CLASSES) && defined(VEC_SIZE)
+
+#if VEC_SIZE != 1
+#define TYPE VEC_DATA_TYPE(DATA_TYPE, VEC_SIZE)
+#define SELECT_TYPE VEC_DATA_TYPE(SELECT_DATA_TYPE, VEC_SIZE)
+
+#include "activation_helpers.h"
+
+/** This performs a YOLO partial activation function for NCHW data layout
+ *
+ * @note In order to perform the activation function "in-place", the pre-processor -DIN_PLACE must be passed at compile time
+ *
+ * @note Datatype should be given as a preprocessor argument using -DDATA_TYPE=type. e.g. -DDATA_TYPE=short
+ * @note Vector size should be given as a preprocessor argument using -DVEC_SIZE=size. e.g. -DVEC_SIZE=16
+ * @note Activation function should be given as a preprocessor argument using -DACT=name. e.g. -DACT=TANH
+ * @note The number of classes should be given as a preprocessor argument using -DNUM_CLASSES=num. e.g. -DNUM_CLASSES=80
+ * @note A, B variables required by some activation functions are set using -DA_VAL= and -DB_VAL= respectively.
+ *
+ * @param[in] input_ptr Pointer to the source tensor. Supported data types: F16/F32
+ * @param[in] input_stride_x Stride of the source tensor in X dimension (in bytes)
+ * @param[in] input_step_x input_stride_x * number of elements along X processed per workitem(in bytes)
+ * @param[in] input_stride_y Stride of the source tensor in Y dimension (in bytes)
+ * @param[in] input_step_y input_stride_y * number of elements along Y processed per workitem(in bytes)
+ * @param[in] input_stride_z Stride of the source tensor in Z dimension (in bytes)
+ * @param[in] input_step_z input_stride_z * number of elements along Z processed per workitem(in bytes)
+ * @param[in] input_offset_first_element_in_bytes The offset of the first element in the source tensor
+ * @param[out] output_ptr (Optional) Pointer to the destination tensor. Supported data types: same as @p input_ptr
+ * @param[in] output_stride_x (Optional) Stride of the destination tensor in X dimension (in bytes)
+ * @param[in] output_step_x (Optional) output_stride_x * number of elements along X processed per workitem(in bytes)
+ * @param[in] output_stride_y (Optional) Stride of the destination tensor in Y dimension (in bytes)
+ * @param[in] output_step_y (Optional) output_stride_y * number of elements along Y processed per workitem(in bytes)
+ * @param[in] output_stride_z (Optional) Stride of the source tensor in Z dimension (in bytes)
+ * @param[in] output_step_z (Optional) output_stride_z * number of elements along Z processed per workitem(in bytes)
+ * @param[in] output_offset_first_element_in_bytes (Optional) The offset of the first element in the destination tensor
+ */
+__kernel void yolo_layer_nchw(
+ TENSOR3D_DECLARATION(input)
+#ifndef IN_PLACE
+ ,
+ TENSOR3D_DECLARATION(output)
+#endif /* not IN_PLACE */
+)
+{
+ // Get pixels pointer
+ Tensor3D input = CONVERT_TO_TENSOR3D_STRUCT(input);
+#ifdef IN_PLACE
+ Tensor3D output = input;
+#else /* IN_PLACE */
+ Tensor3D output = CONVERT_TO_TENSOR3D_STRUCT(output);
+#endif /* IN_PLACE */
+
+ const int box_ch_id = get_global_id(2) % (NUM_CLASSES + 5);
+ const bool activate = box_ch_id != 2 && box_ch_id != 3;
+
+ if(activate)
+ {
+ // Load data
+ TYPE data = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)input.ptr);
+ data = ACTIVATION_OP(ACT, data); // select(1.0f, ACTIVATION_OP(ACT, data), (SELECT_TYPE)activate);
+
+ // Store result
+ VSTORE(VEC_SIZE)
+ (data, 0, (__global DATA_TYPE *)output.ptr);
+ }
+#ifndef IN_PLACE
+ else
+ {
+ // Load data
+ TYPE data = VLOAD(VEC_SIZE)(0, (__global DATA_TYPE *)input.ptr);
+
+ // Store result
+ VSTORE(VEC_SIZE)
+ (data, 0, (__global DATA_TYPE *)output.ptr);
+ }
+#endif // IN_PLACE
+}
+
+#else // VEC_SIZE != 1
+
+#define TYPE DATA_TYPE
+#define SELECT_TYPE SELECT_DATA_TYPE
+
+#include "activation_helpers.h"
+
+/** This performs a YOLO partial activation function for NCHW data layout
+ *
+ * @note In order to perform the activation function "in-place", the pre-processor -DIN_PLACE must be passed at compile time
+ *
+ * @note Datatype should be given as a preprocessor argument using -DDATA_TYPE=type. e.g. -DDATA_TYPE=short
+ * @note Vector size should be given as a preprocessor argument using -DVEC_SIZE=size. e.g. -DVEC_SIZE=1
+ * @note Activation function should be given as a preprocessor argument using -DACT=name. e.g. -DACT=TANH
+ * @note The number of classes should be given as a preprocessor argument using -DNUM_CLASSES=num. e.g. -DNUM_CLASSES=80
+ * @note A, B variables required by some activation functions are set using -DA_VAL= and -DB_VAL= respectively.
+ *
+ * @param[in] input_ptr Pointer to the source tensor. Supported data types: F16/F32
+ * @param[in] input_stride_x Stride of the source tensor in X dimension (in bytes)
+ * @param[in] input_step_x input_stride_x * number of elements along X processed per workitem(in bytes)
+ * @param[in] input_stride_y Stride of the source tensor in Y dimension (in bytes)
+ * @param[in] input_step_y input_stride_y * number of elements along Y processed per workitem(in bytes)
+ * @param[in] input_stride_z Stride of the source tensor in Z dimension (in bytes)
+ * @param[in] input_step_z input_stride_z * number of elements along Z processed per workitem(in bytes)
+ * @param[in] input_offset_first_element_in_bytes The offset of the first element in the source tensor
+ * @param[out] output_ptr (Optional) Pointer to the destination tensor. Supported data types: same as @p input_ptr
+ * @param[in] output_stride_x (Optional) Stride of the destination tensor in X dimension (in bytes)
+ * @param[in] output_step_x (Optional) output_stride_x * number of elements along X processed per workitem(in bytes)
+ * @param[in] output_stride_y (Optional) Stride of the destination tensor in Y dimension (in bytes)
+ * @param[in] output_step_y (Optional) output_stride_y * number of elements along Y processed per workitem(in bytes)
+ * @param[in] output_stride_z (Optional) Stride of the source tensor in Z dimension (in bytes)
+ * @param[in] output_step_z (Optional) output_stride_z * number of elements along Z processed per workitem(in bytes)
+ * @param[in] output_offset_first_element_in_bytes (Optional) The offset of the first element in the destination tensor
+ */
+__kernel void yolo_layer_nhwc(
+ TENSOR3D_DECLARATION(input)
+#ifndef IN_PLACE
+ ,
+ TENSOR3D_DECLARATION(output)
+#endif /* not IN_PLACE */
+)
+{
+ // Get pixels pointer
+ Tensor3D input = CONVERT_TO_TENSOR3D_STRUCT(input);
+#ifdef IN_PLACE
+ Tensor3D output = input;
+#else /* IN_PLACE */
+ Tensor3D output = CONVERT_TO_TENSOR3D_STRUCT(output);
+#endif /* IN_PLACE */
+
+ const int box_ch_id = get_global_id(0) % (NUM_CLASSES + 5);
+ const bool activate = box_ch_id != 2 && box_ch_id != 3;
+
+ if(activate)
+ {
+ // Load data
+ DATA_TYPE data = *((__global DATA_TYPE *)input.ptr);
+ data = select(data, ACTIVATION_OP(ACT, data), (SELECT_TYPE)activate);
+
+ // Store result
+ *((__global DATA_TYPE *)output.ptr) = data;
+ }
+#ifndef IN_PLACE
+ else
+ {
+ // Load data
+ DATA_TYPE data = *((__global DATA_TYPE *)input.ptr);
+
+ // Store result
+ *((__global DATA_TYPE *)output.ptr) = data;
+ }
+#endif // IN_PLACE
+}
+
+#endif // VEC_SIZE != 1
+#endif // defined(DATA_TYPE) && defined(SELECT_DATA_TYPE) && defined(ACT) && defined(NUM_CLASSES) && defined(VEC_SIZE)
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