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authorAdnan AlSinan <adnan.alsinan@arm.com>2021-07-05 13:12:52 +0100
committerGeorgios Pinitas <georgios.pinitas@arm.com>2021-07-25 13:04:23 +0000
commit7075fe2c5ee6f7cfe7cfd9454d905235e70b9ac4 (patch)
treeb65671bdf37eb1ef8cc30ef64ab572da795546fa /src/core/CL/cl_kernels/common/fft_digit_reverse.cl
parent22f5ed51f1b01f7cf6993a556a0b763e437926fc (diff)
downloadComputeLibrary-7075fe2c5ee6f7cfe7cfd9454d905235e70b9ac4.tar.gz
Reorganize the kernels into nhwc, nchw and common folders
The Following kernels have been split into nchw/nhwc kernels files: - batchnormalization_layer - batch_to_space - channel_shuffle - depth_to_space - dequantization_layer - im2col - normalization_layer - normalize_planar_yuv_layer - normalize_planar_yuv_layer_quantized - pooling_layer - pooling_layer_quantized - remap - reorg_layer - scale - scale_quantized - space_to_batch - space_to_depth - upsample_layer - winograd_filter_transform - winograd_input_transform - winograd_output_transform The following kernels have been moved to nchw folder: - direct_convolution1x1 - direct_convolution3x3 - direct_convolution5x5 - direct_convolution_quantized - prior_box_layer The following kernels have been moved to nhwc folder: - direct_convolution - dwc_native_fp_nhwc - dwc_native_quantized_nhwc The following kernels have been removed: - sobel_filter While the rest kerenls have been moved to the common folder. Partially resolves COMPMID-4453 Signed-off-by: Adnan AlSinan <adnan.alsinan@arm.com> Change-Id: Ic327ac935687ec351c610c65a3c6357f364a5a58 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5919 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'src/core/CL/cl_kernels/common/fft_digit_reverse.cl')
-rw-r--r--src/core/CL/cl_kernels/common/fft_digit_reverse.cl154
1 files changed, 154 insertions, 0 deletions
diff --git a/src/core/CL/cl_kernels/common/fft_digit_reverse.cl b/src/core/CL/cl_kernels/common/fft_digit_reverse.cl
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index 0000000000..5f64d95bf9
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+++ b/src/core/CL/cl_kernels/common/fft_digit_reverse.cl
@@ -0,0 +1,154 @@
+/*
+ * Copyright (c) 2019-2021 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"
+
+#if defined(VEC_SIZE) && defined(DATA_TYPE)
+/** Computes the digit reverse stage on axis X
+ *
+ * @param[in] src_ptr Pointer to the source tensor. Supported data types: F16/F32
+ * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes)
+ * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes)
+ * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes)
+ * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes)
+ * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes)
+ * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes)
+ * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor
+ * @param[out] dst_ptr Pointer to the destination tensor. Supported data types: same as @p src_ptr
+ * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes)
+ * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes)
+ * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes)
+ * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes)
+ * @param[in] dst_stride_z Stride of the source tensor in Z dimension (in bytes)
+ * @param[in] dst_step_z dst_stride_z * number of elements along Z processed per workitem(in bytes)
+ * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor
+ * @param[in] idx_ptr Pointer to the index tensor. Supported data types: U32
+ * @param[in] idx_stride_x Stride of the index tensor in X dimension (in bytes)
+ * @param[in] idx_step_x idx_stride_x * number of elements along X processed per workitem(in bytes)
+ * @param[in] idx_offset_first_element_in_bytes The offset of the first element in the index tensor
+ */
+__kernel void fft_digit_reverse_axis_0(
+ TENSOR3D_DECLARATION(src),
+ TENSOR3D_DECLARATION(dst),
+ VECTOR_DECLARATION(idx))
+{
+ // Get tensor pointers
+ Tensor3D src = CONVERT_TO_TENSOR3D_STRUCT_NO_STEP(src);
+ Tensor3D dst = CONVERT_TO_TENSOR3D_STRUCT(dst);
+ Vector idx = CONVERT_TO_VECTOR_STRUCT(idx);
+
+ const unsigned int iidx = *((__global uint *)(idx.ptr));
+
+ // Load data
+#if VEC_SIZE == 1
+ DATA_TYPE data = *((__global DATA_TYPE *)tensor3D_offset(&src, iidx, get_global_id(1), get_global_id(2)));
+#elif VEC_SIZE == 2
+ VEC_DATA_TYPE(DATA_TYPE, 2)
+ data = vload2(0, (__global DATA_TYPE *)tensor3D_offset(&src, iidx, get_global_id(1), get_global_id(2)));
+#else // VEC_SIZE == 1
+#error "vec_size of 1 and 2 are supported"
+#endif // VEC_SIZE == 1
+
+ // Create result
+#if VEC_SIZE == 1
+ VEC_DATA_TYPE(DATA_TYPE, 2)
+ res = { data, 0 };
+#elif VEC_SIZE == 2
+ VEC_DATA_TYPE(DATA_TYPE, 2)
+ res = data;
+#else // VEC_SIZE == 1
+#error "vec_size of 1 and 2 are supported"
+#endif // VEC_SIZE == 1
+
+ // Store result
+#if defined(CONJ)
+ vstore2((VEC_DATA_TYPE(DATA_TYPE, 2))(res.s0, -res.s1), 0, (__global DATA_TYPE *)dst.ptr);
+#else // defined(CONJ)
+ vstore2(res, 0, (__global DATA_TYPE *)dst.ptr);
+#endif // defined(CONJ)
+}
+
+/** Computes the digit reverse stage on axis Y
+ *
+ * @param[in] src_ptr Pointer to the source tensor. Supported data types: F16/F32
+ * @param[in] src_stride_x Stride of the source tensor in X dimension (in bytes)
+ * @param[in] src_step_x src_stride_x * number of elements along X processed per workitem(in bytes)
+ * @param[in] src_stride_y Stride of the source tensor in Y dimension (in bytes)
+ * @param[in] src_step_y src_stride_y * number of elements along Y processed per workitem(in bytes)
+ * @param[in] src_stride_z Stride of the source tensor in Z dimension (in bytes)
+ * @param[in] src_step_z src_stride_z * number of elements along Z processed per workitem(in bytes)
+ * @param[in] src_offset_first_element_in_bytes The offset of the first element in the source tensor
+ * @param[out] dst_ptr Pointer to the destination tensor. Supported data types: same as @p src_ptr
+ * @param[in] dst_stride_x Stride of the destination tensor in X dimension (in bytes)
+ * @param[in] dst_step_x dst_stride_x * number of elements along X processed per workitem(in bytes)
+ * @param[in] dst_stride_y Stride of the destination tensor in Y dimension (in bytes)
+ * @param[in] dst_step_y dst_stride_y * number of elements along Y processed per workitem(in bytes)
+ * @param[in] dst_stride_z Stride of the source tensor in Z dimension (in bytes)
+ * @param[in] dst_step_z dst_stride_z * number of elements along Z processed per workitem(in bytes)
+ * @param[in] dst_offset_first_element_in_bytes The offset of the first element in the destination tensor
+ * @param[in] idx_ptr Pointer to the index tensor. Supported data types: U32
+ * @param[in] idx_stride_x Stride of the index tensor in X dimension (in bytes)
+ * @param[in] idx_step_x idx_stride_x * number of elements along X processed per workitem(in bytes)
+ * @param[in] idx_offset_first_element_in_bytes The offset of the first element in the index tensor
+ */
+__kernel void fft_digit_reverse_axis_1(
+ TENSOR3D_DECLARATION(src),
+ TENSOR3D_DECLARATION(dst),
+ VECTOR_DECLARATION(idx))
+{
+ // Get tensor pointers
+ Tensor3D src = CONVERT_TO_TENSOR3D_STRUCT_NO_STEP(src);
+ Tensor3D dst = CONVERT_TO_TENSOR3D_STRUCT(dst);
+ Vector idx = CONVERT_TO_VECTOR_STRUCT_NO_STEP(idx);
+
+ const unsigned int iidx = *((__global uint *)vector_offset(&idx, (int)(get_global_id(1))));
+
+ // Load data
+#if VEC_SIZE == 1
+ DATA_TYPE data = *((__global DATA_TYPE *)tensor3D_offset(&src, get_global_id(0), iidx, get_global_id(2)));
+#elif VEC_SIZE == 2
+ VEC_DATA_TYPE(DATA_TYPE, 2)
+ data = vload2(0, (__global DATA_TYPE *)tensor3D_offset(&src, get_global_id(0), iidx, get_global_id(2)));
+#else // VEC_SIZE == 1
+#error "vec_size of 1 and 2 are supported"
+#endif // VEC_SIZE == 1
+
+ // Create result
+#if VEC_SIZE == 1
+ VEC_DATA_TYPE(DATA_TYPE, 2)
+ res = { data, 0 };
+#elif VEC_SIZE == 2
+ VEC_DATA_TYPE(DATA_TYPE, 2)
+ res = data;
+#else // VEC_SIZE == 1
+#error "vec_size of 1 and 2 are supported"
+#endif // VEC_SIZE == 1
+
+ // Store result
+#if defined(CONJ)
+ vstore2((VEC_DATA_TYPE(DATA_TYPE, 2))(res.s0, -res.s1), 0, (__global DATA_TYPE *)dst.ptr);
+#else // defined(CONJ)
+ vstore2(res, 0, (__global DATA_TYPE *)dst.ptr);
+#endif // defined(CONJ)
+}
+#endif // defined(VEC_SIZE) && defined(DATA_TYPE) \ No newline at end of file