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-rw-r--r--src/cpu/kernels/CpuFloorKernel.cpp141
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diff --git a/src/cpu/kernels/CpuFloorKernel.cpp b/src/cpu/kernels/CpuFloorKernel.cpp
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+++ b/src/cpu/kernels/CpuFloorKernel.cpp
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+/*
+ * Copyright (c) 2017-2022 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 "src/cpu/kernels/CpuFloorKernel.h"
+
+#include "arm_compute/core/Coordinates.h"
+#include "arm_compute/core/Helpers.h"
+#include "arm_compute/core/ITensor.h"
+#include "arm_compute/core/Validate.h"
+
+#include "src/core/common/Registrars.h"
+#include "src/core/CPP/Validate.h"
+#include "src/core/helpers/AutoConfiguration.h"
+#include "src/core/helpers/WindowHelpers.h"
+#include "src/cpu/kernels/floor/list.h"
+
+namespace arm_compute
+{
+namespace cpu
+{
+namespace kernels
+{
+namespace
+{
+static const std::vector<CpuFloorKernel::FloorKernel> available_kernels = {
+ {"neon_fp16_floor", [](const DataTypeISASelectorData &data) { return data.dt == DataType::F16 && data.isa.fp16; },
+ REGISTER_FP16_NEON(arm_compute::cpu::fp16_neon_floor)},
+ {"neon_fp32_floor", [](const DataTypeISASelectorData &data) { return data.dt == DataType::F32; },
+ REGISTER_FP32_NEON(arm_compute::cpu::fp32_neon_floor)}};
+
+Status validate_arguments(const ITensorInfo *src, const ITensorInfo *dst)
+{
+ ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(src, dst);
+
+ const auto *uk =
+ CpuFloorKernel::get_implementation(DataTypeISASelectorData{src->data_type(), CPUInfo::get().get_isa()});
+ ARM_COMPUTE_RETURN_ERROR_ON(uk == nullptr || uk->ukernel == nullptr);
+
+ // Validate in case of configured output
+ if (dst->total_size() > 0)
+ {
+ ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(src, dst);
+ ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(src, dst);
+ }
+
+ return Status{};
+}
+} // namespace
+
+void CpuFloorKernel::configure(const ITensorInfo *src, ITensorInfo *dst)
+{
+ ARM_COMPUTE_ERROR_ON_NULLPTR(src, dst);
+ ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(src, dst));
+
+ auto_init_if_empty(*dst, src->tensor_shape(), 1, src->data_type());
+
+ const auto *uk =
+ CpuFloorKernel::get_implementation(DataTypeISASelectorData{src->data_type(), CPUInfo::get().get_isa()});
+ ARM_COMPUTE_ERROR_ON_NULLPTR(uk);
+
+ _run_method = uk->ukernel;
+ _name = std::string("CpuFloorKernel").append("/").append(uk->name);
+
+ // Configure kernel window
+ const Window win = calculate_max_window(*src, Steps());
+
+ ICPPKernel::configure(win);
+}
+
+Window CpuFloorKernel::infer_window(const ITensorInfo *src, const ITensorInfo *dst)
+{
+ ARM_COMPUTE_UNUSED(dst);
+ ARM_COMPUTE_ERROR_ON(!bool(validate_arguments(src, dst)));
+
+ Window win;
+ win.use_tensor_dimensions(src->tensor_shape());
+ return win;
+}
+
+Status CpuFloorKernel::validate(const ITensorInfo *input, const ITensorInfo *output)
+{
+ ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output));
+ return Status{};
+}
+
+void CpuFloorKernel::run_op(ITensorPack &tensors, const Window &window, const ThreadInfo &info)
+{
+ ARM_COMPUTE_UNUSED(info);
+ ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
+ ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(IKernel::window(), window);
+
+ ARM_COMPUTE_ERROR_ON(tensors.empty());
+ ARM_COMPUTE_ERROR_ON(_run_method == nullptr);
+
+ const ITensor *src = tensors.get_const_tensor(TensorType::ACL_SRC);
+ ITensor *dst = tensors.get_tensor(TensorType::ACL_DST);
+ const auto len = static_cast<int>(window.x().end()) - static_cast<int>(window.x().start());
+
+ Window win{window};
+ win.set(Window::DimX, Window::Dimension(0, 1, 1));
+
+ Iterator src_it(src, win);
+ Iterator dst_it(dst, win);
+
+ execute_window_loop(
+ win, [&](const Coordinates &) { _run_method(src_it.ptr(), dst_it.ptr(), len); }, src_it, dst_it);
+}
+
+const char *CpuFloorKernel::name() const
+{
+ return _name.c_str();
+}
+
+const std::vector<CpuFloorKernel::FloorKernel> &CpuFloorKernel::get_available_kernels()
+{
+ return available_kernels;
+}
+
+} // namespace kernels
+} // namespace cpu
+} // namespace arm_compute