1 files changed, 117 insertions, 0 deletions
diff --git a/src/core/CL/kernels/CLDepthConvertLayerKernel.cpp b/src/core/CL/kernels/CLDepthConvertLayerKernel.cpp
new file mode 100644
index 0000000000..83908a1469
--- /dev/null
+++ b/src/core/CL/kernels/CLDepthConvertLayerKernel.cpp
@@ -0,0 +1,117 @@
+/*
+ * Copyright (c) 2016, 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/CLDepthConvertLayerKernel.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/CL/OpenCL.h"
+#include "arm_compute/core/Error.h"
+#include "arm_compute/core/TensorInfo.h"
+#include "arm_compute/core/Utils.h"
+#include "arm_compute/core/Validate.h"
+
+#include <cstddef>
+#include <set>
+#include <string>
+
+using namespace arm_compute;
+
+void CLDepthConvertLayerKernel::configure(const ICLTensor *input, ICLTensor *output, ConvertPolicy policy, uint32_t shift)
+{
+    ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::QS8, DataType::U8, DataType::S16, DataType::QS16,
+                                                  DataType::U16, DataType::U32, DataType::S32, DataType::F32);
+    ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output, 1, DataType::QS8, DataType::U8, DataType::S16, DataType::QS16,
+                                                  DataType::U16, DataType::U32, DataType::S32, DataType::F32);
+    ARM_COMPUTE_ERROR_ON(input == output);
+    ARM_COMPUTE_ERROR_ON_MSG(input->info()->data_type() == output->info()->data_type(), "Input and output data types must be different");
+    ARM_COMPUTE_ERROR_ON(shift >= 8);
+
+    // Check if convertion is supported
+    ARM_COMPUTE_ERROR_ON_MSG(input->info()->data_type() == DataType::QS8 && output->info()->data_type() != DataType::F32,
+                             "Only data types supported [in] QS8 -> [out] F32");
+    ARM_COMPUTE_ERROR_ON_MSG(input->info()->data_type() == DataType::QS16 && (output->info()->data_type() != DataType::F32),
+                             "Only data types supported [in] QS16 -> [out] F32");
+    ARM_COMPUTE_ERROR_ON_MSG(input->info()->data_type() == DataType::F32 && ((output->info()->data_type() != DataType::QS8) && output->info()->data_type() != DataType::QS16),
+                             "Only data types supported [in] F32 -> [out] QS8, QS16");
+    ARM_COMPUTE_ERROR_ON_MSG(input->info()->data_type() == DataType::U8 && (output->info()->data_type() != DataType::U16 && output->info()->data_type() != DataType::S16
+                                                                            && output->info()->data_type() != DataType::U32 && output->info()->data_type() != DataType::S32),
+                             "Only data types supported [in] U8 -> [out] U16, S16, U32, S32");
+
+    ARM_COMPUTE_ERROR_ON_MSG(input->info()->data_type() == DataType::U16 && (output->info()->data_type() != DataType::U8 && output->info()->data_type() != DataType::U32
+                                                                             && output->info()->data_type() != DataType::S32),
+                             "Only data types supported [in] U16 ->  [out] U8, U32, S32");
+
+    ARM_COMPUTE_ERROR_ON_MSG(input->info()->data_type() == DataType::S16 && (output->info()->data_type() != DataType::U8 && output->info()->data_type() != DataType::U32
+                                                                             && output->info()->data_type() != DataType::S32),
+                             "Only data types supported [in] S16 ->  [out] U8, U32, S32");
+
+    ARM_COMPUTE_ERROR_ON_MSG(input->info()->data_type() == DataType::U32 && (output->info()->data_type() != DataType::U8 && output->info()->data_type() != DataType::U16
+                                                                             && output->info()->data_type() != DataType::S16),
+                             "Only data types supported [in] U32 ->  [out] U8, U16, S16");
+
+    ARM_COMPUTE_ERROR_ON_MSG(input->info()->data_type() == DataType::S32 && (output->info()->data_type() != DataType::U8 && output->info()->data_type() != DataType::U16
+                                                                             && output->info()->data_type() != DataType::S16),
+                             "Only data types supported [in] S32 ->  [out] U8, U16, S16");
+
+    // Auto initialize output shape if not initialized (We can only auto-configure the shape, datatype must be given)
+    set_shape_if_empty(*output->info(), input->info()->tensor_shape());
+
+    ARM_COMPUTE_ERROR_ON_MISMATCHING_SHAPES(input, output);
+
+    // Get data sizes
+    const size_t input_size  = data_size_from_type(input->info()->data_type());
+    const size_t output_size = data_size_from_type(output->info()->data_type());
+
+    // Construct kernel name and build options
+    std::string           kernel_name = "convert_depth";
+    std::set<std::string> build_opts;
+    if(input_size > output_size)
+    {
+        kernel_name += "_down";
+        // Down conversions from float always SATURATE as out-of-bounds conversion from float->integer is implementation defined
+        build_opts.insert(((policy == ConvertPolicy::WRAP) && !is_data_type_float(input->info()->data_type())) ? "-DWRAP" : "-DSATURATE");
+    }
+    else
+    {
+        kernel_name += "_up";
+    }
+    build_opts.emplace("-DDATA_TYPE_IN=" + get_cl_type_from_data_type(input->info()->data_type()));
+    build_opts.emplace("-DDATA_TYPE_OUT=" + get_cl_type_from_data_type(output->info()->data_type()));
+    if(is_data_type_fixed_point(input->info()->data_type()) || is_data_type_fixed_point(output->info()->data_type()))
+    {
+        build_opts.emplace("-DFIXED_POINT_POSITION=" + support::cpp11::to_string(input->info()->fixed_point_position()));
+    }
+
+    // Create kernel
+    _kernel = static_cast<cl::Kernel>(CLKernelLibrary::get().create_kernel(kernel_name, build_opts));
+
+    // Set shift arg
+    unsigned int idx = 2 * num_arguments_per_2D_tensor(); //Skip the input and output parameters
+    _kernel.setArg(idx++, shift);
+
+    // Configure kernel
+    constexpr unsigned int num_elems_processed_per_iteration = 16;
+    ICLSimple2DKernel::configure(input, output, num_elems_processed_per_iteration);
+}