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>
diff --git a/src/core/CL/cl_kernels/nchw/dequantization_layer.cl b/src/core/CL/cl_kernels/nchw/dequantization_layer.cl
new file mode 100644
index 0000000..e0203f7
--- /dev/null
+++ b/src/core/CL/cl_kernels/nchw/dequantization_layer.cl
@@ -0,0 +1,86 @@
+/*
+ * Copyright (c) 2017-2021 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_SRC) && defined(DATA_TYPE_DST)
+/** This performs per channel dequantization of 8-bit signed integers to floating point. (NCHW)
+ *
+ * @note Source datatype should be given as a preprocessor argument using -DDATA_TYPE_SRC=type. e.g. -DDATA_TYPE_SRC=char
+ * @note Destination datatype should be given as a preprocessor argument using -DDATA_TYPE_DST=type. e.g. -DDATA_TYPE_DST=float
+ * @note Vector size should be given as a preprocessor argument using -DVEC_SIZE=size. e.g. -DVEC_SIZE=16
+ *
+ * @param[in] input_ptr Pointer to the source tensor. Supported data types: QSYMM8_PER_CHANNEL
+ * @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 destination tensor. Supported data types: F16/F32
+ * @param[in] output_stride_x Stride of the destination 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 destination 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 source 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 destination tensor
+ * @param[in] scale Pointer to buffer with the per channel quantized scales
+ */
+__kernel void dequantization_layer_per_channel_nchw(
+ TENSOR3D_DECLARATION(input),
+ TENSOR3D_DECLARATION(output),
+ __global float *scale)
+{
+ // Get pixels pointer
+ Tensor3D input = CONVERT_TO_TENSOR3D_STRUCT(input);
+ Tensor3D output = CONVERT_TO_TENSOR3D_STRUCT(output);
+
+#if defined(LAST_ACCESSED_X)
+ // Check if access on width gets out of bounds
+ // If it does shift access vector to access elements within bounds
+ const int xi = (int)(get_global_id(0) * VEC_SIZE);
+ input.ptr -= max(xi - (int)LAST_ACCESSED_X, 0) * input_stride_x;
+ output.ptr -= max(xi - (int)LAST_ACCESSED_X, 0) * output_stride_x;
+
+ // Load data
+ VEC_DATA_TYPE(int, VEC_SIZE)
+ val = CONVERT(VLOAD(VEC_SIZE)(0, (__global DATA_TYPE_SRC *)input.ptr), VEC_DATA_TYPE(int, VEC_SIZE));
+
+ // Create scale vectors
+ const VEC_DATA_TYPE(float, VEC_SIZE)
+ vscale = scale[get_global_id(2)];
+
+ // Dequantize
+ VEC_DATA_TYPE(float, VEC_SIZE)
+ res = vscale * CONVERT((val), VEC_DATA_TYPE(float, VEC_SIZE));
+
+ // Store result
+ VSTORE(VEC_SIZE)
+ (CONVERT(res, VEC_DATA_TYPE(DATA_TYPE_DST, VEC_SIZE)), 0, (__global DATA_TYPE_DST *)output.ptr);
+#else // !defined(LAST_ACCESSED_X)
+ *((__global DATA_TYPE_DST *)(output.ptr)) = (DATA_TYPE_DST)((float)((int)(*((__global DATA_TYPE_SRC *)(input.ptr)))) * scale[get_global_id(2)]);
+#endif // defined(LAST_ACCESSED_X)
+}
+#endif // defined(VEC_SIZE) && defined(DATA_TYPE_SRC) && defined(DATA_TYPE_DST)
\ No newline at end of file