Files
composable_kernel/tile_engine/ops/gemm/gemm_common.hpp
Thomas Ning 705804d9bf Restructure the Tile Engine to have faster build time and clear config report (#2747)
* Making edits to identify individual compilation issues.

* Minor fix for blob txt files not being created.

* Fixing compilation issues.

* Fixing ordering bug.

* Adding python profiling functionality.

* Setting individual build as default.

* Setting gpu target filtering for tile engine to gfx90a, gfx942 and gfx950.

* update the default running parameters and settings

* Fixing bug with benchmarking, shifting file generation to build instead of config.

* Updating fixes.

* Fixing json output and parsing.

* Disable ccache for tile engine gemm ops because we dont need it.

* Removing duplicate type definition.

* Improving json printing.

* Add the flexibility of different layout and more warp tile support

* Fix extra flag in name of individual kernels.

* Fixing bug with booleans.

* Solve the first patch of the post merge conflict

* Compilation fixes, and cosmetic improvements.

* Yet again compilation fixes after latest changes from develop.

* Fixing python benchmarking script.

---------

Co-authored-by: Vidyasagar Ananthan <vidyasagar.ananthan@amd.com>
Co-authored-by: Vidyasagar Ananthan <vanantha@amd.com>
2025-08-30 06:54:18 -07:00

198 lines
4.6 KiB
C++

// SPDX-License-Identifier: MIT
// Copyright (c) 2025, Advanced Micro Devices, Inc. All rights reserved.
#pragma once
#include <string>
#include "ck_tile/core.hpp"
#include "ck_tile/host.hpp"
#include "ck_tile/core/numeric/integer.hpp"
#include "ck_tile/core/numeric/pk_int4.hpp"
// DataTypeTraits for all supported types
template <typename T>
struct DataTypeTraits;
template <>
struct DataTypeTraits<float>
{
static constexpr const char* name = "fp32";
};
template <>
struct DataTypeTraits<double>
{
static constexpr const char* name = "fp64";
};
template <>
struct DataTypeTraits<ck_tile::half_t>
{
static constexpr const char* name = "fp16";
};
template <>
struct DataTypeTraits<ck_tile::bf16_t>
{
static constexpr const char* name = "bf16";
};
template <>
struct DataTypeTraits<ck_tile::fp8_t>
{
static constexpr const char* name = "fp8";
};
template <>
struct DataTypeTraits<ck_tile::bf8_t>
{
static constexpr const char* name = "bf8";
};
template <>
struct DataTypeTraits<ck_tile::int8_t>
{
static constexpr const char* name = "int8";
};
template <>
struct DataTypeTraits<ck_tile::int32_t>
{
static constexpr const char* name = "int32";
};
template <>
struct DataTypeTraits<ck_tile::pk_int4_t>
{
static constexpr const char* name = "pk_int4_t";
};
// Helper function to determine if a layout is row-major
template <typename Layout>
constexpr auto is_row_major(Layout)
{
return ck_tile::bool_constant<std::is_same_v<Layout, ck_tile::tensor_layout::gemm::RowMajor>>{};
}
// Permutation function for pk_int4_t
template <typename Tensor>
void permute_vectors_i4x4_b(Tensor& tensor)
{
const ck_tile::index_t K = tensor.get_length(0);
const ck_tile::index_t N = tensor.get_length(1);
// vector pk_i4x4 permute
for(int i = 0; i < N; i++)
{
for(int j = 0; j < K; j += 8)
{
int8_t input[8];
for(int k = 0; k < 4; k++)
{
int8_t i4x2 = tensor(j + k * 2, i).data;
input[k * 2 + 0] = (i4x2 >> 4) & 0xf;
input[k * 2 + 1] = (i4x2 >> 0) & 0xf;
}
// permute 01234567->20643175
{
int8_t hi = input[2];
int8_t lo = input[0];
int8_t i4x2 = (hi << 4) | lo;
tensor(j + 0, i) = i4x2;
}
{
int8_t hi = input[6];
int8_t lo = input[4];
int8_t i4x2 = (hi << 4) | lo;
tensor(j + 2, i) = i4x2;
}
{
int8_t hi = input[3];
int8_t lo = input[1];
int8_t i4x2 = (hi << 4) | lo;
tensor(j + 4, i) = i4x2;
}
{
int8_t hi = input[7];
int8_t lo = input[5];
int8_t i4x2 = (hi << 4) | lo;
tensor(j + 6, i) = i4x2;
}
}
}
}
// Structure to hold kernel traits for dispatcher
struct KernelTraits
{
std::string pipeline; // compv3, compv4, mem
std::string scheduler; // intrawave, interwave
std::string epilogue; // cshuffle, default
bool pad_m;
bool pad_n;
bool pad_k;
bool persistent;
// Constructor with defaults
KernelTraits()
: pipeline("compv3"),
scheduler("intrawave"),
epilogue("cshuffle"),
pad_m(false),
pad_n(false),
pad_k(false),
persistent(false)
{
}
};
// Helper to extract traits from kernel name
inline KernelTraits extract_traits_from_name(const std::string& kernel_name)
{
KernelTraits traits;
// Extract pipeline
if(kernel_name.find("compv3") != std::string::npos)
{
traits.pipeline = "compv3";
}
else if(kernel_name.find("compv4") != std::string::npos)
{
traits.pipeline = "compv4";
}
else if(kernel_name.find("mem") != std::string::npos)
{
traits.pipeline = "mem";
}
// Extract scheduler
if(kernel_name.find("interwave") != std::string::npos)
{
traits.scheduler = "interwave";
}
else
{
traits.scheduler = "intrawave";
}
// Extract epilogue
if(kernel_name.find("default") != std::string::npos &&
kernel_name.find("default_") == std::string::npos)
{
traits.epilogue = "default";
}
else
{
traits.epilogue = "cshuffle";
}
// Padding flags would need to be extracted from the kernel configuration
// For now, we'll leave them as false
return traits;
}