mirror of
https://github.com/ROCm/composable_kernel.git
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63fd5da637
* dump lds content in appropriate precision type * add squared add reduction op; allows sq sum * initial stub from regular gemm impl * layernorm example code & host verification * initial layernorm implementation * tidy up * make C0 precision type consistent with C * clang-tidy and additional comments * tighten up example code * account for extra flops/bytes from normalization * clang-format * c0 bias/beta/gamma now have its own precision type * AccElemOp for gemm outputs prior to feeding to layernorm * update workgroup mapping * rename kernel template param to reflect its dual use * use LDS mem pool for reduction workspace * change cshuffle precision type to f16; clean up * clang-format * correct naming * explicit cast * fully implemented gemm + bias + activation + add + norm * activation in correct order * reflect reduction API's recent change * amend * clean up; add comment * keep up with recent changes in reduction API * format * resolve merge conflicts Co-authored-by: Chao Liu <chao.liu2@amd.com>
86 lines
2.5 KiB
C++
86 lines
2.5 KiB
C++
// SPDX-License-Identifier: MIT
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// Copyright (c) 2018-2022, Advanced Micro Devices, Inc. All rights reserved.
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#ifndef UTILITY_DEBUG_HPP
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#define UTILITY_DEBUG_HPP
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namespace ck {
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namespace debug {
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namespace detail {
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template <typename T, typename Enable = void>
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struct PrintAsType;
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template <typename T>
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struct PrintAsType<T, typename std::enable_if<std::is_floating_point<T>::value>::type>
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{
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using type = float;
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__host__ __device__ static void Print(const T& p) { printf("%.3f ", static_cast<type>(p)); }
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};
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template <>
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struct PrintAsType<ck::half_t, void>
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{
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using type = float;
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__host__ __device__ static void Print(const ck::half_t& p)
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{
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printf("%.3f ", static_cast<type>(p));
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}
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};
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template <typename T>
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struct PrintAsType<T, typename std::enable_if<std::is_integral<T>::value>::type>
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{
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using type = int;
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__host__ __device__ static void Print(const T& p) { printf("%d ", static_cast<type>(p)); }
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};
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} // namespace detail
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// Print at runtime the data in shared memory in 128 bytes per row format given shared mem pointer
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// and the number of elements. Can optionally specify strides between elements and how many bytes'
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// worth of data per row.
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//
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// Usage example:
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//
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// debug::print_shared(a_block_buf.p_data_, index_t(a_block_desc_k0_m_k1.GetElementSpaceSize()));
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//
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template <typename T, index_t element_stride = 1, index_t row_bytes = 128>
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__device__ void print_shared(T const* p_shared, index_t num_elements)
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{
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constexpr index_t row_elements = row_bytes / sizeof(T);
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static_assert((element_stride >= 1 && element_stride <= row_elements),
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"element_stride should between [1, row_elements]");
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index_t wgid = blockIdx.x + blockIdx.y * gridDim.x + gridDim.x * gridDim.y * blockIdx.z;
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index_t tid =
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(threadIdx.z * (blockDim.x * blockDim.y)) + (threadIdx.y * blockDim.x) + threadIdx.x;
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__syncthreads();
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if(tid == 0)
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{
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printf("\nWorkgroup id %d, bytes per row %d, element stride %d\n\n",
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wgid,
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row_bytes,
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element_stride);
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for(index_t i = 0; i < num_elements; i += row_elements)
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{
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printf("elem %5d: ", i);
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for(index_t j = 0; j < row_elements; j += element_stride)
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{
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detail::PrintAsType<T>::Print(p_shared[i + j]);
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}
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printf("\n");
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}
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printf("\n");
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}
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__syncthreads();
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}
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} // namespace debug
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} // namespace ck
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#endif // UTILITY_DEBUG_HPP
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