Port DepthwiseConv2d operator to Ckw

 - Only support 1x1 blocks, i.e. n0=1, m0=1.
 - Dilation not supported yet.

Resolves: COMPMID-6258

Signed-off-by: ramy.elgammal@arm.com <ramy.elgammal@arm.com>
Change-Id: I1dcfd7640fb40e112736dedc81847f7b1b50dba2
Signed-off-by: Adnan AlSinan <adnan.alsinan@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/10411
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Gunes Bayir <gunes.bayir@arm.com>
Benchmark: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>

2 files changed, 344 insertions, 0 deletions

diff --git a/src/dynamic_fusion/sketch/gpu/ckw_driver/components/GpuCkwDepthwiseConv2d.cpp b/src/dynamic_fusion/sketch/gpu/ckw_driver/components/GpuCkwDepthwiseConv2d.cpp
new file mode 100644
index 0000000000..1e09c78f47
--- /dev/null
+++ b/src/dynamic_fusion/sketch/gpu/ckw_driver/components/GpuCkwDepthwiseConv2d.cpp
@@ -0,0 +1,265 @@
+/*
+ * 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 "src/dynamic_fusion/sketch/gpu/ckw_driver/components/GpuCkwDepthwiseConv2d.h"
+
+#include "arm_compute/core/Error.h"
+#include "arm_compute/core/Validate.h"
+#include "ckw/TensorTileSampler.h"
+
+#include "src/core/helpers/WindowHelpers.h"
+#include "src/dynamic_fusion/sketch/gpu/ckw_driver/components/utils/type_converter/Common.h"
+#include "src/dynamic_fusion/sketch/gpu/ckw_driver/components/utils/WriterHelper.h"
+#include "src/dynamic_fusion/sketch/gpu/ckw_driver/GpuCkwKernelWriter.h"
+#include "src/dynamic_fusion/sketch/gpu/ckw_driver/GpuCkwScopedKernelWriter.h"
+#include "src/dynamic_fusion/sketch/gpu/ckw_driver/GpuCkwVariableTable.h"
+#include "src/dynamic_fusion/sketch/gpu/GpuKernelComponentGroup.h"
+
+#include <cstdint>
+#include <string>
+
+using namespace ckw;
+namespace arm_compute
+{
+namespace experimental
+{
+namespace dynamic_fusion
+{
+GpuCkwDepthwiseConv2d::GpuCkwDepthwiseConv2d(ComponentId                      id,
+                                             const ArgumentPack<ITensorInfo> &tensors,
+                                             const Attributes                &attributes,
+                                             const Settings                  &settings)
+    : IGpuCkwComponentDriver{id, tensors},
+      _src{},
+      _weight{},
+      _bias{},
+      _dst{},
+      _attributes{attributes},
+      _settings{settings}
+{
+    _src    = this->tensors().get_const_tensor(TensorType::ACL_SRC_0);
+    _weight = this->tensors().get_const_tensor(TensorType::ACL_SRC_1);
+    if (this->tensors().get_const_tensor(TensorType::ACL_SRC_2))
+    {
+        _bias = this->tensors().get_const_tensor(TensorType::ACL_SRC_2);
+    }
+    _dst = this->tensors().get_const_tensor(TensorType::ACL_DST_0);
+    ARM_COMPUTE_ERROR_ON_NULLPTR(_src, _weight, _bias, _dst);
+}
+
+void GpuCkwDepthwiseConv2d::write_component_code(const ComponentGroup    &comp_group,
+                                                 GpuCkwVariableTable     &vtable,
+                                                 GpuCkwScopedKernelWriter writer) const
+{
+    // Data Layout is NHWC
+    constexpr int32_t width_idx  = 1;
+    constexpr int32_t height_idx = 2;
+
+    const auto root_window = comp_group.get_root_component()->ckw_component_driver()->get_window();
+
+    // Tunable parameters
+    // Currently only m0 and n0 = 1 are supported.
+    const int32_t     m0       = root_window.y().step();
+    const int32_t     n0       = root_window.x().step();
+    constexpr int32_t m0_a_val = 1;
+    constexpr int32_t n0_a_val = 1;
+    constexpr int32_t m0_b_val = 1;
+
+    GpuCkwComponentArgument *src =
+        vtable.declare_variable(comp_group, writer, _src, TensorStorageType::ClBufferUint8Ptr, "src");
+    GpuCkwComponentArgument *wei =
+        vtable.declare_variable(comp_group, writer, _weight, TensorStorageType::ClBufferUint8Ptr, "wei");
+    GpuCkwComponentArgument *bia = nullptr;
+
+    if (_bias && _bias->has_valid_id())
+    {
+        bia = vtable.declare_variable(comp_group, writer, _bias, TensorStorageType::ClBufferUint8Ptr, "bia");
+    }
+    GpuCkwComponentArgument *dst =
+        vtable.declare_variable(comp_group, writer, _dst, TensorStorageType::ClBufferUint8Ptr, "dst");
+
+    // Constants
+    const auto &const_1    = writer->declare_tile("1", 1);
+    const auto &wei_height = writer->declare_tile("WEI_HEIGHT", static_cast<int32_t>(_weight->dimension(height_idx)));
+    const auto &wei_width  = writer->declare_tile("WEI_WIDTH", static_cast<int32_t>(_weight->dimension(width_idx)));
+    const auto &dst_height = writer->declare_tile("DST_HEIGHT", static_cast<int32_t>(_dst->dimension(height_idx)));
+    const auto &stride_x   = writer->declare_tile("STRIDE_X", static_cast<int32_t>(_attributes.stride().x()));
+    const auto &stride_y   = writer->declare_tile("STRIDE_Y", static_cast<int32_t>(_attributes.stride().y()));
+    const auto &pad_left   = writer->declare_tile("PAD_LEFT", static_cast<int32_t>(_attributes.pad().left));
+    const auto &pad_top    = writer->declare_tile("PAD_TOP", static_cast<int32_t>(_attributes.pad().top));
+    const auto &depth_multiplier =
+        writer->declare_tile("DEPTH_MULTIPLIER", static_cast<int32_t>(_attributes.depth_multiplier()));
+    auto &const_0 = writer->declare_tile("0", 0);
+    auto &yo      = writer->declare_tile("yo", ckw::DataType::Int32);
+
+    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);
+
+    writer->op_get_global_id(gid_0, 0);
+    writer->op_get_global_id(gid_1, 1);
+    writer->op_get_global_id(gid_2, 2);
+
+    auto &bout = writer->declare_tile("bout", ckw::DataType::Int32);
+    writer->op_binary_expression(bout, gid_2, ckw::BinaryOp::Div, dst_height); // gid_2 / h
+    writer->op_binary_expression(yo, gid_2, ckw::BinaryOp::Mod, dst_height);   // gid_2 % h
+
+    const int32_t dst_partial_n0_v = _dst->tensor_shape()[0] % n0;
+    const int32_t dst_partial_m0_v = _dst->tensor_shape()[1] % m0;
+    auto         &g_ind_0          = writer->declare_tile("g_ind_0", ckw::DataType::Int32);
+    auto         &g_ind_1          = writer->declare_tile("g_ind_1", ckw::DataType::Int32);
+    get_coord(writer, g_ind_0, gid_0, n0, dst_partial_n0_v, "dst_x_", const_0);
+    get_coord(writer, g_ind_1, gid_1, m0, dst_partial_m0_v, "dst_y_", const_0);
+
+    TensorTileSampler src_sampler;
+    src_sampler.width(m0_a_val);
+    src_sampler.height(n0_a_val);
+    src_sampler.format(TensorSamplerFormat::C_W_H);
+    src_sampler.address_mode_x(TensorSamplerAddressModeX::None);
+    src_sampler.address_mode_y(TensorSamplerAddressModeY::Skip);
+    src_sampler.address_mode_z(TensorSamplerAddressModeZ::Skip);
+
+    TensorTileSampler wei_sampler;
+    wei_sampler.width(m0_b_val);
+    wei_sampler.height(n0);
+    wei_sampler.format(TensorSamplerFormat::C_W_H);
+    wei_sampler.address_mode_x(TensorSamplerAddressModeX::None);
+    wei_sampler.address_mode_y(TensorSamplerAddressModeY::None);
+    wei_sampler.address_mode_z(TensorSamplerAddressModeZ::None);
+
+    TensorTileSampler dst_sampler;
+    dst_sampler.width(n0);
+    dst_sampler.height(m0);
+    dst_sampler.format(TensorSamplerFormat::C_W_H);
+    dst_sampler.address_mode_x(TensorSamplerAddressModeX::None);
+    dst_sampler.address_mode_y(TensorSamplerAddressModeY::None);
+    dst_sampler.address_mode_z(TensorSamplerAddressModeZ::Skip);
+    dst_sampler.x(g_ind_0);
+    dst_sampler.y(g_ind_1);
+    dst_sampler.z(yo);
+    dst_sampler.b(bout);
+
+    if (!dst->has_tile())
+    {
+        auto &dst_tile = writer->declare_tile("dst_tile", ckw::TileInfo(to_ckw(_dst->data_type()), m0, n0));
+        dst->init_virtual_tensor(dst_tile, dst_sampler);
+    }
+    auto &dst_tile = dst->tile();
+
+    writer->op_assign(dst_tile, const_0);
+
+    auto &xi = writer->declare_tile("xi", ckw::DataType::Int32);
+    writer->op_binary_expression(xi, g_ind_1, ckw::BinaryOp::Mul, stride_x);
+    writer->op_binary_expression(xi, xi, ckw::BinaryOp::Sub, pad_left);
+
+    auto &yi = writer->declare_tile("yi", ckw::DataType::Int32);
+    writer->op_binary_expression(yi, yo, ckw::BinaryOp::Mul, stride_y);
+    writer->op_binary_expression(yi, yi, ckw::BinaryOp::Sub, pad_top);
+
+    auto &a_x = writer->declare_tile("a_x", ckw::DataType::Int32);
+    writer->op_binary_expression(a_x, g_ind_0, BinaryOp::Div, depth_multiplier);
+
+    // src_tile
+    auto &a = writer->declare_tile("a", ckw::TileInfo(to_ckw(_src->data_type()), m0_a_val, n0_a_val));
+    // wei_tile
+    auto &b = writer->declare_tile("b", ckw::TileInfo(to_ckw(_weight->data_type()), m0_b_val, n0));
+
+    // Loop variables
+    auto &yk = writer->declare_tile("yk", ckw::DataType::Int32);
+    auto &xk = writer->declare_tile("xk", ckw::DataType::Int32);
+
+    // Because 1x1 blocks are being used here, scalar values are being loaded from memory instead of using tiles, since tile vector access currently is not available. Hence the values are loaded in the inner loop.
+    // This loop will be reworked.
+    writer->op_assign(yk, const_0);
+    writer->op_for_loop(yk, BinaryOp::Less, wei_height, yk, AssignmentOp::Increment, const_1,
+                        [&]()
+                        {
+                            // xk = 0
+                            writer->op_assign(xk, const_0);
+                            writer->op_for_loop(
+                                xk, BinaryOp::Less, wei_width, xk, AssignmentOp::Increment, const_1,
+                                [&]()
+                                {
+                                    writer->op_assign(b, const_0);
+                                    writer->op_assign(a, const_0);
+
+                                    // src_tile loading
+                                    auto &xi_curr = writer->declare_tile("xi_curr", ckw::DataType::Int32);
+                                    writer->op_binary_expression(xi_curr, xi, BinaryOp::Add, xk);
+                                    auto &a_y = writer->declare_tile("a_y", ckw::DataType::Int32);
+                                    writer->op_binary_expression(a_y, yi, BinaryOp::Add, yk);
+                                    src_sampler.x(a_x);
+                                    src_sampler.y(xi_curr);
+                                    src_sampler.z(a_y);
+                                    src_sampler.b(bout);
+                                    writer->op_load(a, src->tensor(), src_sampler);
+
+                                    // wei_tile loading
+                                    auto &b_y = writer->declare_tile("b_y", ckw::DataType::Int32);
+                                    writer->op_binary_expression(b_y, wei_width, BinaryOp::Mul, yk);
+                                    writer->op_binary_expression(b_y, b_y, BinaryOp::Add, xk);
+                                    wei_sampler.x(g_ind_0);
+                                    wei_sampler.y(b_y);
+                                    wei_sampler.z(const_0);
+                                    wei_sampler.b(const_0);
+                                    writer->op_load(b, wei->tensor(), wei_sampler);
+
+                                    // Do the accumulation
+                                    auto &mul_result = writer->declare_tile("mul_results", a.data_type());
+                                    writer->op_binary_expression(mul_result, a, BinaryOp::Mul, b);
+                                    writer->op_binary_expression(dst_tile, dst_tile, BinaryOp::Add, mul_result);
+                                });
+                        });
+
+    // Add Bias
+    if (_bias && _bias->has_valid_id())
+    {
+        TensorTileSampler bias_sampler;
+        bias_sampler.width(n0);
+        bias_sampler.height(1);
+        bias_sampler.format(TensorSamplerFormat::C_W_H);
+        bias_sampler.address_mode_x(TensorSamplerAddressModeX::None);
+        bias_sampler.address_mode_y(TensorSamplerAddressModeY::None);
+        bias_sampler.address_mode_z(TensorSamplerAddressModeZ::None);
+        bias_sampler.x(g_ind_0);
+        bias_sampler.y(const_0);
+        bias_sampler.z(const_0);
+        bias_sampler.b(const_0);
+
+        auto &bias_tile = writer->declare_tile("bias_tile", ckw::TileInfo(to_ckw(_bias->data_type()), 1, n0));
+        writer->op_load(bias_tile, bia->tensor(), bias_sampler);
+        writer->op_binary_expression(dst_tile, dst_tile, BinaryOp::Add, bias_tile);
+    }
+}
+
+Window GpuCkwDepthwiseConv2d::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();
+    // Currently only m0 and n0 = 1 are supported.
+    Window win = calculate_max_window(output_shape, Steps(1U, 1U));
+    return win.collapse(win, Window::DimZ);
+}
+} // namespace dynamic_fusion
+} // namespace experimental
+} // namespace arm_compute
diff --git a/src/dynamic_fusion/sketch/gpu/ckw_driver/components/GpuCkwDepthwiseConv2d.h b/src/dynamic_fusion/sketch/gpu/ckw_driver/components/GpuCkwDepthwiseConv2d.h
new file mode 100644
index 0000000000..f9bcaabaec
--- /dev/null
+++ b/src/dynamic_fusion/sketch/gpu/ckw_driver/components/GpuCkwDepthwiseConv2d.h
@@ -0,0 +1,79 @@
+/*
+ * 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.
+ */
+
+#ifndef ACL_SRC_DYNAMIC_FUSION_SKETCH_GPU_CKW_DRIVER_COMPONENTS_GPUCKWDEPTHWISECONV2D_H
+#define ACL_SRC_DYNAMIC_FUSION_SKETCH_GPU_CKW_DRIVER_COMPONENTS_GPUCKWDEPTHWISECONV2D_H
+
+#include "arm_compute/dynamic_fusion/sketch/attributes/DepthwiseConv2dAttributes.h"
+
+#include "src/core/common/Macros.h"
+#include "src/dynamic_fusion/sketch/gpu/ckw_driver/IGpuCkwComponentDriver.h"
+#include "src/dynamic_fusion/sketch/gpu/components/cl/ClComponentDepthwiseConv2d.h"
+namespace arm_compute
+{
+namespace experimental
+{
+namespace dynamic_fusion
+{
+
+class GpuCkwDepthwiseConv2d : public IGpuCkwComponentDriver
+{
+public:
+    using Attributes = ClComponentDepthwiseConv2d::Attributes;
+    using Settings   = ClComponentDepthwiseConv2d::Settings;
+
+    /** Constructor
+     *
+     * For supported configurations please refer to @ref ClComponentDepthwiseConv2d::validate()
+     *
+     * @param[in] id         Component id
+     * @param[in] tensors    Tensor arguments to the component
+     * @param[in] attributes Component attributes
+     * @param[in] settings   Component settings
+     */
+    GpuCkwDepthwiseConv2d(ComponentId                      id,
+                          const ArgumentPack<ITensorInfo> &tensors,
+                          const Attributes                &attributes,
+                          const Settings                  &settings);
+    ARM_COMPUTE_DISALLOW_COPY_ALLOW_MOVE(GpuCkwDepthwiseConv2d);
+    /** Destructor */
+    ~GpuCkwDepthwiseConv2d() override = default;
+    // Inherited methods overriden:
+    virtual void write_component_code(const ComponentGroup    &comp_group,
+                                      GpuCkwVariableTable     &vtable,
+                                      GpuCkwScopedKernelWriter writer) const override;
+    Window       get_window() const override;
+
+private:
+    const ITensorInfo *_src;
+    const ITensorInfo *_weight;
+    const ITensorInfo *_bias;
+    const ITensorInfo *_dst;
+    Attributes         _attributes;
+    Settings           _settings;
+};
+} // namespace dynamic_fusion
+} // namespace experimental
+} // namespace arm_compute
+#endif // ACL_SRC_DYNAMIC_FUSION_SKETCH_GPU_CKW_DRIVER_COMPONENTS_GPUCKWDEPTHWISECONV2D_H