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>

1 files changed, 101 insertions, 0 deletions

diff --git a/src/core/CL/kernels/CLQuantizationLayerKernel.cpp b/src/core/CL/kernels/CLQuantizationLayerKernel.cpp
new file mode 100644
index 0000000000..47564436a9
--- /dev/null
+++ b/src/core/CL/kernels/CLQuantizationLayerKernel.cpp
@@ -0,0 +1,101 @@
+/*
+ * 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 "arm_compute/core/CL/kernels/CLQuantizationLayerKernel.h"
+
+#include "arm_compute/core/AccessWindowStatic.h"
+#include "arm_compute/core/CL/CLHelpers.h"
+#include "arm_compute/core/CL/CLKernelLibrary.h"
+#include "arm_compute/core/CL/ICLTensor.h"
+#include "arm_compute/core/TensorInfo.h"
+#include "arm_compute/core/Utils.h"
+#include "arm_compute/core/Validate.h"
+#include "arm_compute/core/Window.h"
+
+using namespace arm_compute;
+
+CLQuantizationLayerKernel::CLQuantizationLayerKernel()
+    : _input(nullptr), _output(nullptr), _min_max(nullptr)
+{
+}
+
+void CLQuantizationLayerKernel::configure(const ICLTensor *input, ICLTensor *output, ICLTensor *min_max)
+{
+    ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::F32);
+    ARM_COMPUTE_ERROR_ON_NULLPTR(output, min_max);
+    ARM_COMPUTE_ERROR_ON(input->info()->num_dimensions() < 3);
+
+    // Output tensor auto initialization if not yet initialized
+    auto_init_if_empty(*output->info(), input->info()->tensor_shape(), 1, DataType::U8, 0);
+
+    ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output, 1, DataType::U8);
+    ARM_COMPUTE_ERROR_ON_MISMATCHING_SHAPES(input, output);
+
+    _input   = input;
+    _output  = output;
+    _min_max = min_max;
+
+    constexpr unsigned int num_elems_processed_per_iteration = 4;
+
+    // Create kernel
+    _kernel = static_cast<cl::Kernel>(CLKernelLibrary::get().create_kernel("quantization_layer"));
+
+    // Configure window
+    Window                 win = calculate_max_window(*input->info(), Steps(num_elems_processed_per_iteration));
+    AccessWindowHorizontal input_access(input->info(), 0, num_elems_processed_per_iteration);
+    AccessWindowHorizontal output_access(output->info(), 0, num_elems_processed_per_iteration);
+    AccessWindowStatic     min_max_access(min_max->info(), 0, 0, 2, min_max->info()->dimension(1));
+
+    // Update window and padding
+    update_window_and_padding(win, input_access, output_access, min_max_access);
+
+    output_access.set_valid_region(win, input->info()->valid_region());
+
+    ICLKernel::configure(win);
+}
+
+void CLQuantizationLayerKernel::run(const Window &window, cl::CommandQueue &queue)
+{
+    ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
+    ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICLKernel::window(), window);
+
+    Window window_collapsed = window.collapse_if_possible(ICLKernel::window(), 3);
+    Window slice            = window_collapsed.first_slice_window_3D();
+
+    Window window_min_max;
+    window_min_max.use_tensor_dimensions(_min_max->info()->tensor_shape());
+    window_min_max.set(Window::DimX, Window::Dimension(0, 1, 1));
+    window_min_max.collapse_if_possible(ICLKernel::window(), 1);
+
+    Window slice_min_max = window_min_max.first_slice_window_1D();
+
+    do
+    {
+        unsigned int idx = 0;
+        add_3D_tensor_argument(idx, _input, slice);
+        add_3D_tensor_argument(idx, _output, slice);
+        add_1D_tensor_argument(idx, _min_max, slice_min_max);
+        enqueue(queue, *this, slice);
+    }
+    while(window.slide_window_slice_3D(slice) && window_min_max.slide_window_slice_1D(slice_min_max));
+}