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, 291 insertions, 0 deletions

diff --git a/src/dynamic_fusion/sketch/gpu/GpuKernelComponentGroup.cpp b/src/dynamic_fusion/sketch/gpu/GpuKernelComponentGroup.cpp
new file mode 100644
index 0000000000..3af4c1429d
--- /dev/null
+++ b/src/dynamic_fusion/sketch/gpu/GpuKernelComponentGroup.cpp
@@ -0,0 +1,291 @@
+/*
+ * 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 "GpuKernelComponentGroup.h"
+
+#include "arm_compute/core/ITensorInfo.h"
+#include "arm_compute/core/Validate.h"
+#include "src/dynamic_fusion/sketch/gpu/components/IGpuKernelComponent.h"
+
+namespace arm_compute
+{
+namespace experimental
+{
+namespace dynamic_fusion
+{
+bool GpuKernelComponentGroup::add_component(ComponentPtr component)
+{
+    // note: Constraint 1 is guaranteed as a precondition
+    // Constraint 2
+    if(component->type() != GpuComponentType::Output && _components.size() >= max_fused_components)
+    {
+        return false;
+    }
+    // Constraint 3.1: Pattern: (Unfusable + Output)
+    if(!_components.empty() && get_root_component()->type() == GpuComponentType::Unfusable && component->type() != GpuComponentType::Output)
+    {
+        return false;
+    }
+    // Constraint 3.2
+    if(!_components.empty() && (component->type() != GpuComponentType::Simple && component->type() != GpuComponentType::Output))
+    {
+        return false;
+    }
+    // Constraint 3.3: Disallow multiple output components
+    if(!_components.empty() && get_last_component()->type() == GpuComponentType::Output && component->type() == GpuComponentType::Output)
+    {
+        return false;
+    }
+    // Constraint 4
+    if(component->type() != GpuComponentType::Unfusable && component->tensors().get_const_dst_tensors().size() != 1U)
+    {
+        return false;
+    }
+    // Constraint 5
+    if(!_components.empty() && !(get_root_component()->properties() == component->properties()))
+    {
+        return false;
+    }
+    // Constraint 7
+    if(!_components.empty())
+    {
+        const auto root_dst_tensors = get_root_component()->tensors().get_const_dst_tensors();
+        ARM_COMPUTE_ERROR_ON(root_dst_tensors.empty());
+        const auto first_dst_tensor = root_dst_tensors[0];
+        const auto dst_tensors      = component->tensors().get_const_dst_tensors();
+        for(const auto &t : root_dst_tensors)
+        {
+            if(detail::have_different_dimensions(t->tensor_shape(), first_dst_tensor->tensor_shape(), 0))
+            {
+                return false;
+            }
+        }
+        for(const auto &t : dst_tensors)
+        {
+            if(detail::have_different_dimensions(t->tensor_shape(), first_dst_tensor->tensor_shape(), 0))
+            {
+                return false;
+            }
+        }
+    }
+    // Constraint 8
+    if(!_components.empty())
+    {
+        const auto root_dst_tensors = get_root_component()->tensors().get_const_dst_tensors();
+        ARM_COMPUTE_ERROR_ON(root_dst_tensors.empty());
+        const auto first_dst_tensor_layout = root_dst_tensors[0]->data_layout();
+        const auto dst_tensors             = component->tensors().get_const_dst_tensors();
+        for(const auto &t : root_dst_tensors)
+        {
+            if(t->data_layout() != first_dst_tensor_layout)
+            {
+                return false;
+            }
+        }
+        for(const auto &t : dst_tensors)
+        {
+            if(t->data_layout() != first_dst_tensor_layout)
+            {
+                return false;
+            }
+        }
+    }
+    // Constraint 9
+    if(component->tensors().get_const_dst_tensors().size() >= max_dst_tensors)
+    {
+        return false;
+    }
+    // Constraint 9 corollary
+    if(component->type() == GpuComponentType::Output && _components.size() >= max_fused_components + max_dst_tensors)
+    {
+        return false;
+    }
+    _components.push_back(component);
+    return true;
+}
+
+std::vector<const ITensorInfo *> GpuKernelComponentGroup::get_src_tensors() const
+{
+    if(_components.empty())
+    {
+        return {};
+    }
+    auto src_tensors     = _components[0]->tensors().get_const_src_tensors();
+    auto prev_dst_tensor = _components[0]->tensors().get_const_dst_tensors()[0]; // PRE: Only one dst tensor per component
+    for(unsigned int i = 1; i < _components.size(); ++i)
+    {
+        auto cur_src_tensors = _components[i]->tensors().get_const_src_tensors();
+        for(const auto src_tensor : cur_src_tensors)
+        {
+            if(src_tensor->id() == prev_dst_tensor->id())
+            {
+                continue; // Skip "intermediate" tensors. I.e. tensors that are used to link between two components
+            }
+            src_tensors.push_back(src_tensor);
+        }
+        prev_dst_tensor = _components[i]->tensors().get_const_dst_tensors()[0]; // PRE: Only one dst tensor per component
+    }
+
+    return src_tensors;
+}
+
+std::vector<const ITensorInfo *> GpuKernelComponentGroup::get_dst_tensors() const
+{
+    if(_components.empty())
+    {
+        return {};
+    }
+    const auto                       dst_tensor_ptrs = _components[_components.size() - 1]->tensors().get_const_dst_tensors();
+    std::vector<const ITensorInfo *> dst_tensors;
+    for(auto tensor_ptr : dst_tensor_ptrs)
+    {
+        dst_tensors.push_back(tensor_ptr);
+    }
+    return dst_tensors;
+}
+
+std::vector<const ITensorInfo *> GpuKernelComponentGroup::get_argument_tensors() const
+{
+    std::vector<const ITensorInfo *> arguments;
+    const auto                       src_tensors = get_src_tensors();
+    const auto                       dst_tensors = get_dst_tensors();
+    arguments.reserve(src_tensors.size() + dst_tensors.size());
+    arguments.insert(arguments.end(), src_tensors.begin(), src_tensors.end());
+    arguments.insert(arguments.end(), dst_tensors.begin(), dst_tensors.end());
+    return arguments;
+}
+
+GpuKernelComponentGroup::ComponentPtr GpuKernelComponentGroup::get_root_component() const
+{
+    if(empty())
+    {
+        return nullptr;
+    }
+    return _components[0];
+}
+
+GpuKernelComponentGroup::ComponentPtr GpuKernelComponentGroup::get_last_component() const
+{
+    if(empty())
+    {
+        return nullptr;
+    }
+    return _components[_components.size() - 1];
+}
+
+GpuKernelComponentGroup::ComponentPtr GpuKernelComponentGroup::get_previous_component(ComponentId id) const
+{
+    if(empty())
+    {
+        return nullptr;
+    }
+    // Get the index of the requested component
+    size_t ind = 0;
+    for(const auto c : _components)
+    {
+        if(c->id() == id)
+        {
+            break;
+        }
+        ind++;
+    }
+    if(ind == 0 || ind >= _components.size())
+    {
+        return nullptr;
+    }
+    return _components[ind - 1];
+}
+
+bool GpuKernelComponentGroup::is_intermediate_tensor(const ITensorInfo *tensor) const
+{
+    return is_tensor_in(tensor, get_interm_tensors());
+}
+
+size_t GpuKernelComponentGroup::size() const
+{
+    return _components.size();
+}
+bool GpuKernelComponentGroup::empty() const
+{
+    return _components.empty();
+}
+GpuKernelComponentGroup::ComponentPtr &GpuKernelComponentGroup::operator[](size_t index)
+{
+    return _components[index];
+}
+const GpuKernelComponentGroup::ComponentPtr &GpuKernelComponentGroup::operator[](size_t index) const
+{
+    return _components[index];
+}
+typename std::vector<GpuKernelComponentGroup::ComponentPtr>::iterator GpuKernelComponentGroup::begin()
+{
+    return _components.begin();
+}
+typename std::vector<GpuKernelComponentGroup::ComponentPtr>::iterator GpuKernelComponentGroup::end()
+{
+    return _components.end();
+}
+typename std::vector<GpuKernelComponentGroup::ComponentPtr>::const_iterator GpuKernelComponentGroup::begin() const
+{
+    return _components.cbegin();
+}
+typename std::vector<GpuKernelComponentGroup::ComponentPtr>::const_iterator GpuKernelComponentGroup::end() const
+{
+    return _components.cend();
+}
+typename std::vector<GpuKernelComponentGroup::ComponentPtr>::const_iterator GpuKernelComponentGroup::cbegin() const
+{
+    return _components.cbegin();
+}
+typename std::vector<GpuKernelComponentGroup::ComponentPtr>::const_iterator GpuKernelComponentGroup::cend() const
+{
+    return _components.cend();
+}
+
+std::vector<const ITensorInfo *> GpuKernelComponentGroup::get_interm_tensors() const
+{
+    std::vector<const ITensorInfo *> interm_tensors{};
+    for(unsigned int i = 0; i + 1 < _components.size(); ++i)
+    {
+        auto interm_tensor = _components[i]->tensors().get_const_dst_tensors()[0];
+        interm_tensors.push_back(interm_tensor); // PRE: Only one dst tensor per component
+    }
+
+    return interm_tensors;
+}
+
+bool GpuKernelComponentGroup::is_tensor_in(const ITensorInfo *tensor, const std::vector<const ITensorInfo *> tensors)
+{
+    for(auto t : tensors)
+    {
+        if(tensor->id() == t->id())
+        {
+            return true;
+        }
+    }
+    return false;
+}
+
+} // namespace dynamic_fusion
+} // namespace experimental
+} // namespace arm_compute