COMPMID-2450: Implement CLMaxUnpoolingLayer
- Add OpenCL kernel for Max unpooling layer
- Add tests for validating the result
Change-Id: If7ca79566a1198e3141f880abf46738980a62c81
Signed-off-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/3606
Reviewed-by: Pablo Marquez <pablo.tello@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
diff --git a/src/core/CL/cl_kernels/unpooling_layer.cl b/src/core/CL/cl_kernels/unpooling_layer.cl
new file mode 100644
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+++ b/src/core/CL/cl_kernels/unpooling_layer.cl
@@ -0,0 +1,72 @@
+/*
+ * 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 "helpers.h"
+
+/** Performs max unpooling function with pool size equal to 2.
+ *
+ * @note Datatype must be passed using -DDATA_TYPE e.g. -DDATA_TYPE=float. Supported data types are F16/F32
+ * @note The width of the output tensor must be passed using -DWIDTH_DST e.g. -DWIDTH_DST=24
+ * @note The height of the output tensor must be passed using -DHEIGHT_DST e.g. -DHEIGHT_DST=54
+ * @note The depth of the output tensor must be passed using -DDEPTH_DST e.g. -DDEPTH_DST=32
+ *
+ * @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 Pointer to the output tensor. Supported data types: same as @p input_ptr
+ * @param[in] output_stride_x Stride of the output tensor in X dimension (in bytes)
+ * @param[in] output_step_x output_stride_x * number of elements along X processed per workitem(in bytes)
+ * @param[in] output_stride_y Stride of the output tensor in Y dimension (in bytes)
+ * @param[in] output_step_y output_stride_y * number of elements along Y processed per workitem(in bytes)
+ * @param[in] output_stride_z Stride of the output tensor in Z dimension (in bytes)
+ * @param[in] output_step_z output_stride_z * number of elements along Z processed per workitem(in bytes)
+ * @param[in] output_offset_first_element_in_bytes The offset of the first element in the output tensor
+ * @param[in] indices_ptr Pointer to the indices tensor. Supported data types: U32
+ * @param[in] indices_stride_x Stride of the indices tensor in X dimension (in bytes)
+ * @param[in] indices_step_x indices_stride_x * number of elements along X processed per workitem(in bytes)
+ * @param[in] indices_stride_y Stride of the indices tensor in Y dimension (in bytes)
+ * @param[in] indices_step_y indices_stride_y * number of elements along Y processed per workitem(in bytes)
+ * @param[in] indices_stride_z Stride of the indices tensor in Z dimension (in bytes)
+ * @param[in] indices_step_z indices_stride_z * number of elements along Z processed per workitem(in bytes)
+ * @param[in] indices_offset_first_element_in_bytes The offset of the first element in the indices tensor
+ */
+__kernel void max_unpooling_layer_2(
+ TENSOR3D_DECLARATION(input),
+ TENSOR3D_DECLARATION(output),
+ TENSOR3D_DECLARATION(indices))
+{
+ Tensor3D input = CONVERT_TO_TENSOR3D_STRUCT(input);
+ Tensor3D output = CONVERT_TO_TENSOR3D_STRUCT_NO_UPDATE_PTR(output);
+ Tensor3D indices = CONVERT_TO_TENSOR3D_STRUCT(indices);
+
+ unsigned int index = *((__global unsigned int *)indices.ptr);
+ DATA_TYPE value = *((__global DATA_TYPE *)input.ptr);
+
+ *((__global DATA_TYPE *)tensor3D_index2ptr(&output, WIDTH_DST, HEIGHT_DST, DEPTH_DST, index)) = value;
+}
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