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/*
* Copyright (c) 2025 The Khronos Group Inc.
* Copyright (C) 2025 Arm Limited.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*/
#include "data_graph_objects.h"
#include "binding.h"
#include "generated/pnext_chain_extraction.h"
#include <iostream>
namespace vkt {
namespace dg {
void CreateDataGraphPipelineHelper::CreateShaderModule(const char* spirv_source) {
spvtools::SpirvTools tools{SPV_ENV_UNIVERSAL_1_6};
std::string error_msg;
tools.SetMessageConsumer([&](spv_message_level_t level, const char*, const spv_position_t& position, const char* message) {
std::stringstream ss;
ss << "on line " << position.line << ", column " << position.column << ": " << message;
error_msg = ss.str();
});
std::vector<uint32_t> spirv_binary;
if (!tools.Assemble(spirv_source, &spirv_binary)) {
GTEST_FAIL() << "Failed to compile SPIRV shader module. Error:\n" << error_msg << std::endl
<< "SpirV:\n" << spirv_source << std::endl;
}
VkShaderModuleCreateInfo shader_module_create_info = vku::InitStructHelper();
shader_module_create_info.codeSize = spirv_binary.size() * sizeof(uint32_t);
shader_module_create_info.pCode = spirv_binary.data();
shader_.Init(*device_, shader_module_create_info);
shader_module_ci_ = vku::InitStructHelper();
shader_module_ci_.module = shader_.handle();
shader_module_ci_.pName = "main";
vvl::PnextChainAdd(&pipeline_ci_, &shader_module_ci_);
}
// playing with `inserted_line` we can cause different errors
std::string CreateDataGraphPipelineHelper::GetGraphSpirvSource(const char* inserted_line) {
std::stringstream ss;
ss << R"(
OpCapability GraphARM
OpCapability TensorsARM
OpCapability Int8
OpCapability Int16
OpCapability Int64
OpCapability Shader
OpCapability VulkanMemoryModel
OpCapability Matrix
OpExtension "SPV_ARM_graph"
OpExtension "SPV_ARM_tensors"
OpExtension "SPV_KHR_vulkan_memory_model"
%tosa = OpExtInstImport "TOSA.001000.1"
OpMemoryModel Logical Vulkan
OpName %main_arg_0 "main_arg_0"
OpName %main_res_0 "main_res_0"
OpDecorate %main_arg_0 Binding 0
OpDecorate %main_arg_0 DescriptorSet 0
OpDecorate %main_res_0 Binding 1
OpDecorate %main_res_0 DescriptorSet 0
%uchar = OpTypeInt 8 0
%uint = OpTypeInt 32 0
%uint_4 = OpConstant %uint 4
%uint_1 = OpConstant %uint 1
%uint_8 = OpConstant %uint 8
%uint_16 = OpConstant %uint 16
%uint_0 = OpConstant %uint 0
%uint_2 = OpConstant %uint 2
%uint_arr_4 = OpTypeArray %uint %uint_4
%uint_arr_1 = OpTypeArray %uint %uint_1
%uint_arr_4_1_8_16_4 = OpConstantComposite %uint_arr_4 %uint_1 %uint_8 %uint_16 %uint_4
%uint_arr_4_1_2_4_4 = OpConstantComposite %uint_arr_4 %uint_1 %uint_2 %uint_4 %uint_4
%uint_arr_4_1_4_8_4 = OpConstantComposite %uint_arr_4 %uint_1 %uint_4 %uint_8 %uint_4
%uint_arr_1_2 = OpConstantComposite %uint_arr_1 %uint_2
%uint_arr_1_4 = OpConstantComposite %uint_arr_1 %uint_4
%uchar_1_8_16_4_tensor = OpTypeTensorARM %uchar %uint_4 %uint_arr_4_1_8_16_4
%uchar_1_2_4_4_tensor = OpTypeTensorARM %uchar %uint_4 %uint_arr_4_1_2_4_4
%uchar_1_4_8_4_tensor = OpTypeTensorARM %uchar %uint_4 %uint_arr_4_1_4_8_4
%uint_2_tensor = OpTypeTensorARM %uint %uint_1 %uint_arr_1_2
%uint_4_tensor = OpTypeTensorARM %uint %uint_1 %uint_arr_1_4
)" << inserted_line << R"(
%constant = OpGraphConstantARM %uint_2_tensor 0
%uint_2_tensor_2_2 = OpConstantComposite %uint_2_tensor %uint_2 %uint_2
%uint_4_tensor_0_0_0_0 = OpConstantComposite %uint_4_tensor %uint_0 %uint_0 %uint_0 %uint_0
%uchar_1_8_16_4_tensor_ptr = OpTypePointer UniformConstant %uchar_1_8_16_4_tensor
%uchar_1_2_4_4_tensor_ptr = OpTypePointer UniformConstant %uchar_1_2_4_4_tensor
%main_arg_0 = OpVariable %uchar_1_8_16_4_tensor_ptr UniformConstant
%main_res_0 = OpVariable %uchar_1_2_4_4_tensor_ptr UniformConstant
%graph_type = OpTypeGraphARM 1 %uchar_1_8_16_4_tensor %uchar_1_2_4_4_tensor
OpGraphEntryPointARM %graph_0 "main" %main_arg_0 %main_res_0
%graph_0 = OpGraphARM %graph_type
%in_0 = OpGraphInputARM %uchar_1_8_16_4_tensor %uint_0
%op_0 = OpExtInst %uchar_1_4_8_4_tensor %tosa MAX_POOL2D %uint_2_tensor_2_2 %uint_2_tensor_2_2 %uint_4_tensor_0_0_0_0 %uint_0 %in_0
%op_1 = OpExtInst %uchar_1_2_4_4_tensor %tosa MAX_POOL2D %uint_2_tensor_2_2 %uint_2_tensor_2_2 %uint_4_tensor_0_0_0_0 %uint_0 %op_0
OpGraphSetOutputARM %op_1 %uint_0
OpGraphEndARM
)";
return ss.str();
}
void CreateDataGraphPipelineHelper::CreateComputeShaderModule() {
constexpr char const* spirv_source = R"spirv(
; SPIR-V
; Version: 1.6
; Generator: Khronos Glslang Reference Front End; 11
; Bound: 19
; Schema: 0
OpCapability Shader
OpCapability TensorsARM
OpExtension "SPV_ARM_tensors"
%1 = OpExtInstImport "GLSL.std.450"
OpMemoryModel Logical GLSL450
OpEntryPoint GLCompute %main "main" %tens
OpExecutionMode %main LocalSize 1 1 1
OpSource GLSL 450
OpSourceExtension "GL_ARM_tensors"
OpSourceExtension "GL_EXT_shader_explicit_arithmetic_types"
OpName %main "main"
OpName %size_x "size_x"
OpName %tens "tens"
OpDecorate %tens Binding 0
OpDecorate %tens DescriptorSet 0
%void = OpTypeVoid
%3 = OpTypeFunction %void
%uint = OpTypeInt 32 0
%_ptr_Function_uint = OpTypePointer Function %uint
%int = OpTypeInt 32 1
%uint_1 = OpConstant %uint 1
%11 = OpTypeTensorARM %int %uint_1
%_ptr_UniformConstant_11 = OpTypePointer UniformConstant %11
%tens = OpVariable %_ptr_UniformConstant_11 UniformConstant
%uint_0 = OpConstant %uint 0
%v3uint = OpTypeVector %uint 3
%18 = OpConstantComposite %v3uint %uint_1 %uint_1 %uint_1
%main = OpFunction %void None %3
%5 = OpLabel
%size_x = OpVariable %_ptr_Function_uint Function
%14 = OpLoad %11 %tens
%16 = OpTensorQuerySizeARM %uint %14 %uint_0
OpStore %size_x %16
OpReturn
OpFunctionEnd
)spirv";
CreateShaderModule(spirv_source);
}
void CreateDataGraphPipelineHelper::InitPipelineResources(const std::vector<vkt::Tensor*>& tensors, VkDescriptorType desc_type,
VkDescriptorSetLayoutCreateFlags layout_flags) {
descriptor_set_layout_bindings_.clear();
resources_.clear();
descriptor_set_layout_bindings_.resize(tensors.size());
resources_.resize(tensors.size());
descriptor_set_layout_bindings_.resize(tensors.size());
resources_.resize(tensors.size());
for (size_t i = 0; i < tensors.size(); i++) {
resources_[i] = vku::InitStructHelper();
resources_[i].pNext = &tensors[i]->Description();
resources_[i].descriptorSet = 0;
resources_[i].binding = i;
descriptor_set_layout_bindings_[i].binding = i;
descriptor_set_layout_bindings_[i].descriptorCount = 1;
descriptor_set_layout_bindings_[i].descriptorType = desc_type;
descriptor_set_layout_bindings_[i].stageFlags = VK_SHADER_STAGE_ALL;
descriptor_set_layout_bindings_[i].pImmutableSamplers = nullptr;
}
descriptor_set_.reset(new OneOffDescriptorSet(device_, descriptor_set_layout_bindings_, layout_flags));
pipeline_ci_.resourceInfoCount = resources_.size();
pipeline_ci_.pResourceInfos = resources_.data();
CreatePipelineLayout();
}
void CreateDataGraphPipelineHelper::CreatePipelineLayout(const std::vector<VkPushConstantRange>& push_constant_ranges) {
pipeline_layout_ci_ = vku::InitStructHelper();
pipeline_layout_ci_.flags = 0;
pipeline_layout_ci_.pushConstantRangeCount = push_constant_ranges.size();
pipeline_layout_ci_.pPushConstantRanges = push_constant_ranges.data();
pipeline_layout_ = vkt::PipelineLayout(*device_, pipeline_layout_ci_, {&descriptor_set_->layout_});
pipeline_ci_.layout = pipeline_layout_;
}
/* 2-layer maxpool 2x2: output tensor is 1/4 the size of the input tensor */
const std::vector<int64_t> in_tensor_dims = {1, 8, 16, 4};
const std::vector<int64_t> out_tensor_dims = {in_tensor_dims[0], in_tensor_dims[1] / 4,
in_tensor_dims[2] / 4, in_tensor_dims[3]};
void CreateDataGraphPipelineHelper::InitTensor(vkt::Tensor &tensor, vkt::TensorView &tensor_view, const std::vector<int64_t> &tensor_dims, bool is_protected) {
VkTensorDescriptionARM tensor_desc = vku::InitStructHelper();
tensor_desc.tiling = VK_TENSOR_TILING_LINEAR_ARM;
tensor_desc.format = VK_FORMAT_R8_SINT;
tensor_desc.dimensionCount = tensor_dims.size();
tensor_desc.pDimensions = tensor_dims.data();
tensor_desc.usage = VK_TENSOR_USAGE_DATA_GRAPH_BIT_ARM;
VkTensorCreateInfoARM tensor_info = vku::InitStructHelper();
tensor_info.pDescription = &tensor_desc;
tensor_info.sharingMode = VK_SHARING_MODE_EXCLUSIVE;
VkFlags memory_flags = 0;
if (is_protected) {
tensor_info.flags |= VK_TENSOR_CREATE_PROTECTED_BIT_ARM;
memory_flags = VK_MEMORY_PROPERTY_PROTECTED_BIT;
}
tensor.InitNoMem(*device_, tensor_info);
tensor.BindToMem(memory_flags);
VkTensorViewCreateInfoARM tensor_view_ci = vku::InitStructHelper();
tensor_view_ci.tensor = tensor.handle();
tensor_view_ci.format = tensor.Format();
tensor_view.Init(*device_, tensor_view_ci);
}
CreateDataGraphPipelineHelper::CreateDataGraphPipelineHelper(VkLayerTest& test, bool is_data_graph, bool protected_tensors, const char *inserted_line) : layer_test_(test) {
device_ = layer_test_.DeviceObj();
pipeline_ci_ = vku::InitStructHelper();
InitTensor(in_tensor_, in_tensor_view_, in_tensor_dims, protected_tensors);
InitTensor(out_tensor_, out_tensor_view_, out_tensor_dims, protected_tensors);
if (!is_data_graph) {
CreateComputeShaderModule();
InitPipelineResources({&in_tensor_});
} else {
std::string spirv_source = GetGraphSpirvSource(inserted_line);
CreateShaderModule(spirv_source.c_str());
InitPipelineResources({&in_tensor_, &out_tensor_});
}
// Check that the initialisation of the pipeline has been successful
layer_test_.Monitor().Finish();
}
VkResult CreateDataGraphPipelineHelper::CreateDataGraphPipeline() {
return vk::CreateDataGraphPipelinesARM(device_->handle(), VK_NULL_HANDLE, VK_NULL_HANDLE, 1, &pipeline_ci_, nullptr,
&pipeline_);
}
void CreateDataGraphPipelineHelper::Destroy() {
if (pipeline_ != VK_NULL_HANDLE) {
vk::DestroyPipeline(device_->handle(), pipeline_, nullptr);
pipeline_ = VK_NULL_HANDLE;
}
}
CreateDataGraphPipelineHelper::~CreateDataGraphPipelineHelper() { Destroy(); }
} // namespace dg
} // namespace vkt
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