Rewrite dynamic fusion

The new version introduces the following major changes:

* Change public interface to simplify and standardize the user experience
    - Use the term "Workload" uniformly
    - Simplify operator interface to be a set of static methods:
      validate_op(), create_op()

* Separate the kernel writing into its own component (template_writer).
  This is to allow the co-development of GpuKernelWriter, and to allow
  easy replacement once GpuKernelWriter is mature.

* Optimize the core fusion algorithm used by the component graph. The
  details can be found in GpuKernelComponentGraph::fuse()

* Use Gpu instead of Cl prefixes for most of the Workload interfaces
  (except for runtime and kernel components, which have to be language specific)
  This allows the potential extension to other Gpu langauges in the
  future.

* Refactor runtime memory interface so that auxiliary tensor handling
  is separate from the user tensor passing. This is because the former
  is less stable and may require extension in the future.

* Hide source code object from the user as it is not required at the
  moment

* Deprecate the old prototype entirely by disabling it in SCons build

Resolves COMPMID-5510, COMPMID-5512, COMPMID-5513

Change-Id: If69d2362856f2de4503546b7b6cf48a525cf3079
Signed-off-by: SiCong Li <sicong.li@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/8406
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Reviewed-by: Jakub Sujak <jakub.sujak@arm.com>
Reviewed-by: Viet-Hoa Do <viet-hoa.do@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Benchmark: Arm Jenkins <bsgcomp@arm.com>

1 files changed, 152 insertions, 0 deletions

diff --git a/src/dynamic_fusion/sketch/gpu/components/cl/ClComponentDirectConv2d.cpp b/src/dynamic_fusion/sketch/gpu/components/cl/ClComponentDirectConv2d.cpp
new file mode 100644
index 0000000000..e94cfd1581
--- /dev/null
+++ b/src/dynamic_fusion/sketch/gpu/components/cl/ClComponentDirectConv2d.cpp
@@ -0,0 +1,152 @@
+/*
+ * Copyright (c) 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 "ClComponentDirectConv2d.h"
+
+#include "arm_compute/core/Validate.h"
+#include "arm_compute/core/utils/misc/ShapeCalculator.h"
+#include "arm_compute/dynamic_fusion/sketch/OperatorAttributes.h"
+#include "src/core/CL/CLValidate.h"
+#include "src/dynamic_fusion/sketch/gpu/template_writer/cl/ClTemplateDirectConv2d.h"
+
+namespace arm_compute
+{
+namespace experimental
+{
+namespace dynamic_fusion
+{
+using Settings = ClComponentDirectConv2dSettings;
+
+Settings &Settings::export_to_cl_image(bool cl_image)
+{
+    _export_to_cl_image = cl_image;
+    return *this;
+}
+
+bool Settings::export_to_cl_image() const
+{
+    return _export_to_cl_image;
+}
+
+Settings &Settings::fast_relaxed_math(bool fast_relaxed_math)
+{
+    _fast_relaxed_math = fast_relaxed_math;
+    return *this;
+}
+
+bool Settings::fast_relaxed_math() const
+{
+    return _fast_relaxed_math;
+}
+
+Status ClComponentDirectConv2d::validate(
+    const Properties                &properties,
+    const ArgumentPack<ITensorInfo> &tensors,
+    const Attributes                &attributes,
+    const Settings                  &settings)
+{
+    ARM_COMPUTE_UNUSED(properties, settings);
+    const auto src = tensors.get_const_tensor(TensorType::ACL_SRC_0);
+    const auto wei = tensors.get_const_tensor(TensorType::ACL_SRC_1);
+    const auto bia = tensors.get_const_tensor(TensorType::ACL_SRC_2);
+    const auto dst = tensors.get_const_tensor(TensorType::ACL_DST_0);
+
+    ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(src, wei, dst);
+
+    // 1. Check validity
+    // Matching data type
+    ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(src, wei);
+    ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(src, dst);
+    if(bia != nullptr)
+    {
+        ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(src, bia);
+    }
+
+    // Matching data layout
+    ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_LAYOUT(src, wei);
+    ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_LAYOUT(src, dst);
+    if(bia != nullptr)
+    {
+        ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_LAYOUT(src, bia);
+    }
+
+    // All tensor infos are initialized
+    ARM_COMPUTE_RETURN_ERROR_ON(src->tensor_shape().total_size() == 0);
+    ARM_COMPUTE_RETURN_ERROR_ON(wei->tensor_shape().total_size() == 0);
+    ARM_COMPUTE_RETURN_ERROR_ON(dst->tensor_shape().total_size() == 0);
+    if(bia != nullptr)
+    {
+        ARM_COMPUTE_RETURN_ERROR_ON(bia->tensor_shape().total_size() == 0);
+    }
+    // Device requirements are met
+    ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(src);
+    // wei shape is correct
+    const DataLayout data_layout = src->data_layout();
+    const int        channel_idx = get_data_layout_dimension_index(data_layout, DataLayoutDimension::CHANNEL);
+    ARM_COMPUTE_RETURN_ERROR_ON_MSG(wei->dimension(channel_idx) != src->dimension(channel_idx), "Weights feature map dimension should match the respective src's one");
+    ARM_COMPUTE_RETURN_ERROR_ON_MSG(wei->num_dimensions() > 4, "Weights can be at most 4 dimensional");
+
+    // dst shape is correct
+    PadStrideInfo legacy_pad_stride(attributes.stride().x(), attributes.stride().y(), attributes.pad().left, attributes.pad().right, attributes.pad().top,
+                                    attributes.pad().bottom, DimensionRoundingType{});
+    ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DIMENSIONS(dst->tensor_shape(),
+                                                       misc::shape_calculator::compute_deep_convolution_shape(*src, *wei, legacy_pad_stride));
+
+    // bia shape is correct
+    if(bia != nullptr)
+    {
+        ARM_COMPUTE_RETURN_ERROR_ON_MSG(bia->dimension(0) != wei->dimension(3),
+                                        "Biases size and number of dst feature maps should match");
+        ARM_COMPUTE_RETURN_ERROR_ON_MSG(bia->num_dimensions() > 1,
+                                        "Biases should be one dimensional");
+    }
+
+    // 2. Check support level
+    // Data type
+    ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(src, 1, DataType::F16, DataType::F32);
+    // Data layout
+    ARM_COMPUTE_RETURN_ERROR_ON_DATA_LAYOUT_NOT_IN(src, DataLayout::NHWC);
+
+    return Status{};
+}
+
+ClComponentDirectConv2d::ClComponentDirectConv2d(
+    ComponentId                      id,
+    const Properties                &properties,
+    const ArgumentPack<ITensorInfo> &tensors,
+    const Attributes                &attributes,
+    const Settings                  &settings)
+    : IGpuKernelComponent{ id, properties, tensors },
+      _component_writer{ std::make_unique<ClTemplateDirectConv2d>(id, tensors, attributes, settings) }
+{
+}
+ClComponentDirectConv2d::~ClComponentDirectConv2d()
+{
+}
+const IGpuTemplateComponentWriter *ClComponentDirectConv2d::template_writer() const
+{
+    return _component_writer.get();
+}
+} // namespace dynamic_fusion
+} // namespace experimental
+} // namespace arm_compute