1 files changed, 143 insertions, 0 deletions
diff --git a/src/dynamic_fusion/sketch/gpu/ckw_driver/components/GpuCkwElementwiseBinary.cpp b/src/dynamic_fusion/sketch/gpu/ckw_driver/components/GpuCkwElementwiseBinary.cpp
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+++ b/src/dynamic_fusion/sketch/gpu/ckw_driver/components/GpuCkwElementwiseBinary.cpp
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+/*
+ * Copyright (c) 2023 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 "GpuCkwElementwiseBinary.h"
+
+#include "acl/AclKernelWriter.h"
+#include "acl/AclScopedKernelWriter.h"
+#include "arm_compute/core/Error.h"
+#include "arm_compute/core/Validate.h"
+#include "ckw/TensorTileSampler.h"
+#include "ckw/Types.h"
+#include "src/core/helpers/WindowHelpers.h"
+#include "src/dynamic_fusion/sketch/gpu/GpuKernelComponentGroup.h"
+#include "src/dynamic_fusion/sketch/gpu/ckw_driver/GpuCkwVariableTable.h"
+#include "src/dynamic_fusion/sketch/gpu/ckw_driver/components/utils/WriterHelper.h"
+#include <string>
+
+using namespace ckw;
+namespace arm_compute
+{
+namespace experimental
+{
+namespace
+{
+/** Create a simple sampler from tile of dimension [m0, n0]
+ */
+inline TensorTileSampler create_simple_sampler(AclScopedKernelWriter &writer, int32_t m0, int32_t n0)
+{
+    TensorTileSampler sampler;
+
+    auto &gid_0 = writer->declare_tile("gid_0", ckw::DataType::Int32);
+    auto &gid_1 = writer->declare_tile("gid_1", ckw::DataType::Int32);
+    auto &gid_2 = writer->declare_tile("gid_2", ckw::DataType::Int32);
+
+    auto &const_0 = writer->declare_tile("0", 0);
+
+    writer->op_get_global_id(gid_0, 0);
+    writer->op_get_global_id(gid_1, 1);
+    writer->op_get_global_id(gid_2, 2);
+
+    sampler.x(gid_0);
+    sampler.y(gid_1);
+    sampler.z(const_0); // 3rd dimension collapsed with 2nd dimension
+    sampler.b(gid_2);
+
+    sampler.width(n0);
+    sampler.height(m0);
+
+    sampler.format(TensorSamplerFormat::C_WH_1); // 3rd dimension collapsed with 2nd dimension
+    sampler.address_mode_x(TensorSamplerAddressModeX::None);
+    sampler.address_mode_y(TensorSamplerAddressModeY::ClampToBorder);
+    sampler.address_mode_z(TensorSamplerAddressModeZ::Skip); // Dimensions higher than 3 not supported yet
+
+    return sampler;
+}
+} // namespace
+
+namespace dynamic_fusion
+{
+GpuCkwElementwiseBinary::GpuCkwElementwiseBinary(ComponentId                      id,
+                                                 const ArgumentPack<ITensorInfo> &tensors,
+                                                 const Attributes                &attributes)
+    : IGpuCkwComponentDriver{ id, tensors },
+      _lhs{},
+      _rhs{},
+      _dst{},
+      _attributes{ attributes }
+{
+    _lhs = this->tensors().get_const_tensor(TensorType::ACL_SRC_0);
+    _rhs = this->tensors().get_const_tensor(TensorType::ACL_SRC_1);
+    _dst = this->tensors().get_const_tensor(TensorType::ACL_DST_0);
+    ARM_COMPUTE_ERROR_ON_NULLPTR(_lhs, _rhs, _dst);
+}
+
+void GpuCkwElementwiseBinary::write_component_code(const ComponentGroup &comp_group, GpuCkwVariableTable &vtable, AclScopedKernelWriter writer) const
+{
+    const auto         root_window = comp_group.get_root_component()->ckw_component_driver()->get_window();
+    const unsigned int n0          = root_window.x().step();
+    const unsigned int m0          = root_window.y().step();
+
+    AclComponentArgument *lhs = vtable.declare_variable(comp_group, writer, _lhs, "lhs");
+    AclComponentArgument *rhs = vtable.declare_variable(comp_group, writer, _rhs, "rhs");
+    AclComponentArgument *dst = vtable.declare_variable(comp_group, writer, _dst, "dst");
+
+    // Load the LHS and RHS tiles and prepare the tensor sampler.
+    load_lhs_rhs_tiles_and_prepare_sampler(writer, lhs, rhs, m0, n0, create_simple_sampler);
+
+    auto       &lhs_tile = lhs->tile();
+    auto       &rhs_tile = rhs->tile();
+    const auto &sampler  = lhs->tile_sampler();
+
+    // Prepare the output tile.
+    if(!dst->has_tile())
+    {
+        auto &tile = writer->declare_tile("dst_tile", lhs_tile.tile_info());
+        dst->init_virtual_tensor(tile, sampler);
+    }
+
+    auto &dst_tile = dst->tile();
+
+    // Perform the operation.
+    writer->op_binary_expression(dst_tile, lhs_tile, rhs_tile, BinaryOp::Add);
+}
+
+Window GpuCkwElementwiseBinary::get_window() const
+{
+    ARM_COMPUTE_ERROR_ON_MSG(_dst->tensor_shape().total_size() == 0U, "Destination tensor is not initialized");
+
+    TensorShape output_shape = _dst->tensor_shape();
+    // Collapse Dim 1 (W) and Dim 2 (H) together, leave Dim 0 (C) unchanged
+    // This is in line with the collapsing convention used by operators like Conv2d
+    output_shape.collapse(2U, 1U);
+    // constexpr unsigned int vector_size_byte_opencl = 16;
+    // const unsigned int num_elems_processed_per_iteration = adjust_vec_size(vector_size_byte_opencl / _dst->element_size(), _dst->dimension(0));
+    const unsigned int num_elems_processed_per_iteration = 1U; // Hard-coded for now
+    Window             win                               = calculate_max_window(output_shape, Steps(num_elems_processed_per_iteration));
+
+    return win;
+}
+
+} // namespace dynamic_fusion
+} // namespace experimental
+} // namespace arm_compute