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authorMichele Di Giorgio <michele.digiorgio@arm.com>2017-07-27 09:53:49 +0100
committerAnthony Barbier <anthony.barbier@arm.com>2018-11-02 16:35:24 +0000
commit56dd726ee074cb145612d03240b710f8adb82ddd (patch)
tree35f3a18102ccaa8f21c8397470f3d63f835c890c /src/core/CL/cl_kernels/quantization_layer.cl
parent1cd0d5247ed1be3f9e36eb3b39bb91de296e50dd (diff)
downloadComputeLibrary-56dd726ee074cb145612d03240b710f8adb82ddd.tar.gz
COMPMID-448: Implement CL Quantization/Dequantization Layer.
Change-Id: Id002e23a2ac48af3d245416dc6411d9a04a1e513 Reviewed-on: http://mpd-gerrit.cambridge.arm.com/81827 Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com> Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com> Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>
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+/*
+ * Copyright (c) 2017 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"
+
+/** This performs the quantization of floating point inputs to 8-bit unsigned integers.
+ *
+ * @param[in] input_ptr Pointer to the source image. Supported data types: F32
+ * @param[in] input_stride_x Stride of the source image 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 image 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 image
+ * @param[out] output_ptr Pointer to the destination image. Supported data types: U8
+ * @param[in] output_stride_x Stride of the destination image 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 image 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 image
+ * @param[in] min_max_ptr Pointer to the min/max vector. Minimum value in position 0, maximum value in position 1. Supported data types: F32.
+ * @param[in] min_max_stride_x Stride of the min/max vector in X dimension (in bytes)
+ * @param[in] min_max_step_x min_max_stride_x * number of elements along X processed per workitem(in bytes)
+ * @param[in] min_max_offset_first_element_in_bytes The offset of the first element in the min/max vector
+ */
+__kernel void quantization_layer(
+ TENSOR3D_DECLARATION(input),
+ TENSOR3D_DECLARATION(output),
+ VECTOR_DECLARATION(min_max))
+{
+ // Get pixels pointer
+ Tensor3D input = CONVERT_TO_TENSOR3D_STRUCT(input);
+ Tensor3D output = CONVERT_TO_TENSOR3D_STRUCT(output);
+
+ // min_max_value.s0 = min, min_max_value.s1 = max
+ const float2 min_max_value = vload2(0, (__global float *)(min_max_ptr + min_max_offset_first_element_in_bytes));
+
+ const float4 vmin = (float4)min_max_value.s0;
+ const float4 vrange = (float4)(min_max_value.s1 - min_max_value.s0);
+
+ // Load data
+ float4 data = vload4(0, (__global float *)input.ptr);
+
+ // Map float values to range [0.0, 1.0]
+ data = (data - vmin) / vrange;
+
+ // Quantize and saturate
+ uchar4 res = convert_uchar4_sat(data * 256.0f);
+
+ // Store result
+ vstore4(res, 0, (__global uchar *)output.ptr);
+}