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Unverified Commit 1a66e35b authored by Chao Liu's avatar Chao Liu Committed by GitHub
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MIopen integration (#13) 

* update for miopen integration: cosmetic refactor
parent 3406a114
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Showing with 202 additions and 168 deletions
composable_kernel/include/utility/config.amd.hpp.in
View file @ 1a66e35b
......@@ -54,21 +54,23 @@
#define CK_EXPERIMENTAL_USE_MORE_COMPILE_STATIC_BLOCKWISE_GENERIC_SLICE_COPY_V1 0
#define CK_EXPERIMENTAL_USE_MORE_COMPILE_STATIC_THREADWISE_GENERIC_TENSOR_SLICE_COPY_V1R2 0
#define CK_EXPERIMENTAL_USE_MORE_COMPILE_STATIC_THREADWISE_GENERIC_TENSOR_SLICE_COPY_V2R1 0
#define CK_EXPERIMENTAL_IMPLICIT_GEMM_BACKWARD_DATA_V4R1_OUTPUT_SKIP_OUT_OF_BOUND_CHECK 0
#define CK_EXPERIMENTAL_IMPLICIT_GEMM_BACKWARD_DATA_V4R1_INPUT_SKIP_OUT_OF_BOUND_CHECK 0
namespace ck {
enum AddressSpace
{
generic,
global,
lds,
vgpr
Generic,
Global,
Lds,
Vgpr
};
enum InMemoryDataOperation
{
none,
atomic_add
Set,
AtomicAdd
};
#if CK_UNSIGNED_INDEX_TYPE
......
composable_kernel/include/utility/in_memory_operation.amd.hpp.in
View file @ 1a66e35b
......@@ -10,13 +10,14 @@ template <typename T,
index_t DataPerAccess,
AddressSpace SrcAddressSpace,
AddressSpace DstAddressSpace>
__device__ void copy_data(const T* p_src, index_t src_offset, T* p_dst, index_t dst_offset)
__device__ void set_data(const T* p_src, index_t src_offset, T* p_dst, index_t dst_offset)
{
using vector_t = typename vector_type<T, DataPerAccess>::MemoryType;
#if CK_USE_AMD_BUFFER_ADDRESSING
// TODO: use static_if::ElseIf, instead of nested static_if
static_if<SrcAddressSpace == AddressSpace::global && DstAddressSpace == vgpr>{}([&](auto) {
static_if<SrcAddressSpace == AddressSpace::Global &&
DstAddressSpace == AddressSpace::Vgpr>{}([&](auto) {
// buffer_load requires:
// 1) p_src must be in global memory space, d_dst must be vgpr
// 2) p_src to be a block-invariant pointer.
......@@ -24,7 +25,8 @@ __device__ void copy_data(const T* p_src, index_t src_offset, T* p_dst, index_t
*reinterpret_cast<vector_t*>(&p_dst[dst_offset]) =
amd_intrinsic_buffer_load<T, DataPerAccess>(p_src, src_offset, 0);
}).Else([&](auto) {
static_if<SrcAddressSpace == AddressSpace::vgpr && DstAddressSpace == global>{}([&](auto) {
static_if<SrcAddressSpace == AddressSpace::Vgpr &&
DstAddressSpace == AddressSpace::Global>{}([&](auto) {
// buffer_store requires:
// 1) p_src must be in vgpr space, d_dst must be global memory
// 2) p_dst to be a block-invariant pointer.
......@@ -50,19 +52,18 @@ __device__ void atomic_add_data(const T* p_src, index_t src_offset, T* p_dst, in
{
using vector_t = typename vector_type<T, DataPerAccess>::MemoryType;
static_if<SrcAddressSpace == AddressSpace::vgpr && DstAddressSpace == AddressSpace::global>{}(
[&](auto) {
static_if<SrcAddressSpace == AddressSpace::Vgpr &&
DstAddressSpace == AddressSpace::Global>{}([&](auto) {
#if CK_USE_AMD_BUFFER_ATOMIC_ADD
amd_intrinsic_buffer_atomic_add<T, DataPerAccess>(
*reinterpret_cast<const vector_t*>(&p_src[src_offset]), p_dst, dst_offset, 0);
amd_intrinsic_buffer_atomic_add<T, DataPerAccess>(
*reinterpret_cast<const vector_t*>(&p_src[src_offset]), p_dst, dst_offset, 0);
#else
atomicAdd(reinterpret_cast<vector_t*>(&p_dst[dst_offset]),
*reinterpret_cast<const vector_t*>(&p_src[src_offset]));
atomicAdd(reinterpret_cast<vector_t*>(&p_dst[dst_offset]),
*reinterpret_cast<const vector_t*>(&p_src[src_offset]));
#endif
})
.Else([&](auto fwd) {
static_assert(fwd(false), "atomic_add doesn't support this memory space");
});
}).Else([&](auto fwd) {
static_assert(fwd(false), "atomic_add doesn't support this memory space");
});
}
template <typename T,
......@@ -72,17 +73,17 @@ template <typename T,
InMemoryDataOperation DstInMemOp>
__device__ void transfer_data(const T* p_src, index_t src_offset, T* p_dst, index_t dst_offset)
{
static_assert(DstInMemOp == InMemoryDataOperation::none ||
DstInMemOp == InMemoryDataOperation::atomic_add,
static_assert(DstInMemOp == InMemoryDataOperation::Set ||
DstInMemOp == InMemoryDataOperation::AtomicAdd,
"wrong! InMemoryDataOperation not supported!");
// TODO: use static_if::ElseIf
static_if<DstInMemOp == InMemoryDataOperation::none>{}([&](auto) {
copy_data<T, DataPerAccess, SrcAddressSpace, DstAddressSpace>(
static_if<DstInMemOp == InMemoryDataOperation::Set>{}([&](auto) {
set_data<T, DataPerAccess, SrcAddressSpace, DstAddressSpace>(
p_src, src_offset, p_dst, dst_offset);
});
static_if<DstInMemOp == InMemoryDataOperation::atomic_add>{}([&](auto) {
static_if<DstInMemOp == InMemoryDataOperation::AtomicAdd>{}([&](auto) {
atomic_add_data<T, DataPerAccess, SrcAddressSpace, DstAddressSpace>(
p_src, src_offset, p_dst, dst_offset);
});
......
composable_kernel/include/utility/in_memory_operation.nvidia.hpp.in
View file @ 1a66e35b
......@@ -23,14 +23,13 @@ __device__ void atomic_add_data(const T* p_src, index_t src_offset, T* p_dst, in
{
using vector_t = typename vector_type<T, DataPerAccess>::MemoryType;
static_if<SrcAddressSpace == AddressSpace::vgpr && DstAddressSpace == AddressSpace::global>{}(
[&](auto) {
atomicAdd(reinterpret_cast<vector_t*>(&p_dst[dst_offset]),
*reinterpret_cast<const vector_t*>(&p_src[src_offset]));
})
.Else([&](auto fwd) {
static_assert(fwd(false), "atomic_add doesn't support this memory space");
});
static_if<SrcAddressSpace == AddressSpace::Vgpr &&
DstAddressSpace == AddressSpace::Global>{}([&](auto) {
atomicAdd(reinterpret_cast<vector_t*>(&p_dst[dst_offset]),
*reinterpret_cast<const vector_t*>(&p_src[src_offset]));
}).Else([&](auto fwd) {
static_assert(fwd(false), "atomic_add doesn't support this memory space");
});
}
template <typename T,
......@@ -40,17 +39,17 @@ template <typename T,
InMemoryDataOperation DstInMemOp>
__device__ void transfer_data(const T* p_src, index_t src_offset, T* p_dst, index_t dst_offset)
{
static_assert(DstInMemOp == InMemoryDataOperation::none ||
DstInMemOp == InMemoryDataOperation::atomic_add,
static_assert(DstInMemOp == InMemoryDataOperation::Set ||
DstInMemOp == InMemoryDataOperation::AtomicAdd,
"wrong! InMemoryDataOperation not supported!");
// TODO: use static_if::ElseIf
static_if<DstInMemOp == InMemoryDataOperation::none>{}([&](auto) {
static_if<DstInMemOp == InMemoryDataOperation::Set>{}([&](auto) {
copy_data<T, DataPerAccess, SrcAddressSpace, DstAddressSpace>(
p_src, src_offset, p_dst, dst_offset);
});
static_if<DstInMemOp == InMemoryDataOperation::atomic_add>{}([&](auto) {
static_if<DstInMemOp == InMemoryDataOperation::AtomicAdd>{}([&](auto) {
atomic_add_data<T, DataPerAccess, SrcAddressSpace, DstAddressSpace>(
p_src, src_offset, p_dst, dst_offset);
});
......
composable_kernel/include/utility/math.hpp
View file @ 1a66e35b
......@@ -107,27 +107,22 @@ __host__ __device__ constexpr T min(T x, Ts... xs)
template <typename T>
__host__ __device__ constexpr T gcd(T x, T y)
{
if(x == 0)
if(x == y || x == 0)
{
return y;
}
if(y == 0)
else if(y == 0)
{
return x;
}
if(x == y)
else if(x > y)
{
return x;
return gcd(x - y, y);
}
if(x > y)
else
{
return gcd(x - y, y);
return gcd(x, y - x);
}
return gcd(x, y - x);
}
template <index_t X, index_t Y>
......@@ -150,10 +145,10 @@ __host__ __device__ constexpr T lcm(T x, T y)
return (x * y) / gcd(x, y);
}
template <typename X, typename Y, typename... Zs>
__host__ __device__ constexpr auto lcm(X x, Y y, Zs... zs)
template <typename X, typename... Ys>
__host__ __device__ constexpr auto lcm(X x, Ys... ys)
{
return lcm(x, lcm(y, zs...));
return lcm(x, lcm(ys...));
}
template <class T>
......
driver/include/device_convolution_backward_data_implicit_gemm_v1r1_nchw_kcyx_nkhw.hpp
View file @ 1a66e35b
......@@ -49,20 +49,20 @@ void device_convolution_backward_data_implicit_gemm_v1r1_nchw_kcyx_nkhw(InDesc i
wei_kcyx_device_buf.ToDevice(wei_kcyx.mData.data());
out_nkhw_device_buf.ToDevice(out_nkhw.mData.data());
#if 1
#if 0
// BlockSize = 256, each thread hold 64 data
constexpr index_t BlockSize = 256;
constexpr index_t GemmMPerBlock = 128;
constexpr index_t GemmNPerBlock = 128;
constexpr index_t GemmKPerBlock = 8;
constexpr index_t GemmMPerThreadSubC = 4;
constexpr index_t GemmNPerThreadSubC = 4;
constexpr index_t GemmMPerThread = 4;
constexpr index_t GemmNPerThread = 4;
constexpr index_t GemmKPerThread = 1;
constexpr index_t GemmMLevel0Cluster = 4;
constexpr index_t GemmNLevel0Cluster = 4;
constexpr index_t GemmMLevel1Cluster = 4;
constexpr index_t GemmNLevel1Cluster = 4;
constexpr index_t GemmKPerThreadLoop = 1;
constexpr index_t GemmThreadGemmDataPerReadM = 4;
constexpr index_t GemmThreadGemmDataPerReadN = 4;
......@@ -79,6 +79,36 @@ void device_convolution_backward_data_implicit_gemm_v1r1_nchw_kcyx_nkhw(InDesc i
constexpr index_t GemmBBlockCopyDstDataPerWrite_GemmN = 1;
constexpr index_t GemmCThreadCopyDstDataPerWrite_GemmN1 = 1;
#elif 1
// BlockSize = 256, each thread hold 64 data
constexpr index_t BlockSize = 256;
constexpr index_t GemmMPerBlock = 128;
constexpr index_t GemmNPerBlock = 128;
constexpr index_t GemmKPerBlock = 16;
constexpr index_t GemmMPerThread = 4;
constexpr index_t GemmNPerThread = 4;
constexpr index_t GemmKPerThread = 1;
constexpr index_t GemmMLevel0Cluster = 4;
constexpr index_t GemmNLevel0Cluster = 4;
constexpr index_t GemmMLevel1Cluster = 4;
constexpr index_t GemmNLevel1Cluster = 4;
constexpr index_t GemmThreadGemmDataPerReadM = 4;
constexpr index_t GemmThreadGemmDataPerReadN = 4;
using GemmABlockCopyThreadSliceLengths_GemmK_GemmM = Sequence<2, 4>;
using GemmABlockCopyThreadClusterLengths_GemmK_GemmM = Sequence<8, 32>;
constexpr index_t GemmABlockCopySrcDataPerRead_GemmM = 4;
constexpr index_t GemmABlockCopyDstDataPerWrite_GemmM = 4;
using GemmBBlockCopyThreadSliceLengths_GemmK_GemmN = Sequence<2, 4>;
using GemmBBlockCopyThreadClusterLengths_GemmK_GemmN = Sequence<8, 32>;
constexpr index_t GemmBBlockCopySrcDataPerRead_GemmN = 4;
constexpr index_t GemmBBlockCopyDstDataPerWrite_GemmN = 4;
constexpr index_t GemmCThreadCopyDstDataPerWrite_GemmN1 = 4;
#endif
constexpr index_t GemmM = C * Y * X;
......@@ -104,13 +134,13 @@ void device_convolution_backward_data_implicit_gemm_v1r1_nchw_kcyx_nkhw(InDesc i
GemmMPerBlock,
GemmNPerBlock,
GemmKPerBlock,
GemmMPerThreadSubC,
GemmNPerThreadSubC,
GemmMPerThread,
GemmNPerThread,
GemmKPerThread,
GemmMLevel0Cluster,
GemmNLevel0Cluster,
GemmMLevel1Cluster,
GemmNLevel1Cluster,
GemmKPerThreadLoop,
GemmThreadGemmDataPerReadM,
GemmThreadGemmDataPerReadN,
GemmABlockCopyThreadSliceLengths_GemmK_GemmM,
......
driver/include/device_convolution_backward_data_implicit_gemm_v2r1_nchw_kcyx_nkhw.hpp
View file @ 1a66e35b
......@@ -66,13 +66,13 @@ void device_convolution_backward_data_implicit_gemm_v2r1_nchw_kcyx_nkhw(InDesc i
constexpr index_t GemmMPerBlock = 128;
constexpr index_t GemmNPerBlock = 128;
constexpr index_t GemmKPerBlock = 8;
constexpr index_t GemmMPerThreadSubC = 4;
constexpr index_t GemmNPerThreadSubC = 4;
constexpr index_t GemmMPerThread = 4;
constexpr index_t GemmNPerThread = 4;
constexpr index_t GemmKPerThread = 1;
constexpr index_t GemmMLevel0Cluster = 4;
constexpr index_t GemmNLevel0Cluster = 4;
constexpr index_t GemmMLevel1Cluster = 4;
constexpr index_t GemmNLevel1Cluster = 4;
constexpr index_t GemmKPerThreadLoop = 1;
constexpr index_t GemmThreadGemmDataPerReadM = 4;
constexpr index_t GemmThreadGemmDataPerReadN = 4;
......@@ -96,13 +96,13 @@ void device_convolution_backward_data_implicit_gemm_v2r1_nchw_kcyx_nkhw(InDesc i
constexpr index_t GemmMPerBlock = 128;
constexpr index_t GemmNPerBlock = 128;
constexpr index_t GemmKPerBlock = 8;
constexpr index_t GemmMPerThreadSubC = 4;
constexpr index_t GemmNPerThreadSubC = 4;
constexpr index_t GemmMPerThread = 4;
constexpr index_t GemmNPerThread = 4;
constexpr index_t GemmKPerThread = 1;
constexpr index_t GemmMLevel0Cluster = 4;
constexpr index_t GemmNLevel0Cluster = 4;
constexpr index_t GemmMLevel1Cluster = 4;
constexpr index_t GemmNLevel1Cluster = 4;
constexpr index_t GemmKPerThreadLoop = 1;
constexpr index_t GemmThreadGemmDataPerReadM = 4;
constexpr index_t GemmThreadGemmDataPerReadN = 4;
......@@ -127,13 +127,13 @@ void device_convolution_backward_data_implicit_gemm_v2r1_nchw_kcyx_nkhw(InDesc i
constexpr index_t GemmMPerBlock = 128;
constexpr index_t GemmNPerBlock = 128;
constexpr index_t GemmKPerBlock = 8;
constexpr index_t GemmMPerThreadSubC = 4;
constexpr index_t GemmNPerThreadSubC = 4;
constexpr index_t GemmMPerThread = 4;
constexpr index_t GemmNPerThread = 4;
constexpr index_t GemmKPerThread = 1;
constexpr index_t GemmMLevel0Cluster = 4;
constexpr index_t GemmNLevel0Cluster = 4;
constexpr index_t GemmMLevel1Cluster = 4;
constexpr index_t GemmNLevel1Cluster = 4;
constexpr index_t GemmKPerThreadLoop = 1;
constexpr index_t GemmThreadGemmDataPerReadM = 4;
constexpr index_t GemmThreadGemmDataPerReadN = 4;
......@@ -152,33 +152,33 @@ void device_convolution_backward_data_implicit_gemm_v2r1_nchw_kcyx_nkhw(InDesc i
constexpr index_t GemmCThreadCopyDstDataPerWrite_GemmN1 = 4;
#endif
constexpr index_t gcd_stride_dilation_h = math::gcd(ConvStrideH, ConvDilationH);
constexpr index_t gcd_stride_dilation_w = math::gcd(ConvStrideW, ConvDilationW);
constexpr index_t GcdStrideDilationH = math::gcd(ConvStrideH, ConvDilationH);
constexpr index_t GcdStrideDilationW = math::gcd(ConvStrideW, ConvDilationW);
constexpr index_t Ytilda = ConvStrideH / gcd_stride_dilation_h;
constexpr index_t Xtilda = ConvStrideW / gcd_stride_dilation_w;
constexpr index_t YTilda = ConvStrideH / GcdStrideDilationH;
constexpr index_t XTilda = ConvStrideW / GcdStrideDilationW;
constexpr index_t Ydot = math::integer_divide_ceil(Y, Ytilda);
constexpr index_t Xdot = math::integer_divide_ceil(X, Xtilda);
constexpr index_t YDot = math::integer_divide_ceil(Y, YTilda);
constexpr index_t XDot = math::integer_divide_ceil(X, XTilda);
constexpr index_t Htilda = Ho + math::integer_divide_ceil(ConvDilationH * (Y - 1), ConvStrideH);
constexpr index_t Wtilda = Wo + math::integer_divide_ceil(ConvDilationW * (X - 1), ConvStrideW);
constexpr index_t HTilda = Ho + math::integer_divide_ceil(ConvDilationH * (Y - 1), ConvStrideH);
constexpr index_t WTilda = Wo + math::integer_divide_ceil(ConvDilationW * (X - 1), ConvStrideW);
constexpr index_t HtildaLeft = math::integer_divide_floor(
math::max(0, InLeftPads{}[0] - ConvDilationH * (Ytilda - 1)), ConvStrides{}[0]);
constexpr index_t WtildaLeft = math::integer_divide_floor(
math::max(0, InLeftPads{}[1] - ConvDilationW * (Xtilda - 1)), ConvStrides{}[1]);
constexpr index_t HTildaLeft = math::integer_divide_floor(
math::max(0, InLeftPads{}[0] - ConvDilationH * (YTilda - 1)), ConvStrides{}[0]);
constexpr index_t WTildaLeft = math::integer_divide_floor(
math::max(0, InLeftPads{}[1] - ConvDilationW * (XTilda - 1)), ConvStrides{}[1]);
constexpr index_t HtildaRight = math::min(
Htilda, math::integer_divide_ceil(InLeftPads{}[0] + Hi - 1, ConvStrides{}[0]) + 1);
constexpr index_t WtildaRight = math::min(
Wtilda, math::integer_divide_ceil(InLeftPads{}[1] + Wi - 1, ConvStrides{}[1]) + 1);
constexpr index_t HTildaRight = math::min(
HTilda, math::integer_divide_ceil(InLeftPads{}[0] + Hi - 1, ConvStrides{}[0]) + 1);
constexpr index_t WTildaRight = math::min(
WTilda, math::integer_divide_ceil(InLeftPads{}[1] + Wi - 1, ConvStrides{}[1]) + 1);
constexpr index_t HtildaTrim = HtildaRight - HtildaLeft;
constexpr index_t WtildaTrim = WtildaRight - WtildaLeft;
constexpr index_t HTildaSlice = HTildaRight - HTildaLeft;
constexpr index_t WTildaSlice = WTildaRight - WTildaLeft;
constexpr index_t GemmM = C * Ytilda * Xtilda;
constexpr index_t GemmN = N * HtildaTrim * WtildaTrim;
constexpr index_t GemmM = C * YTilda * XTilda;
constexpr index_t GemmN = N * HTildaSlice * WTildaSlice;
constexpr index_t GridSize = math::integer_divide_ceil(GemmM, GemmMPerBlock) *
math::integer_divide_ceil(GemmN, GemmNPerBlock);
......@@ -200,13 +200,13 @@ void device_convolution_backward_data_implicit_gemm_v2r1_nchw_kcyx_nkhw(InDesc i
GemmMPerBlock,
GemmNPerBlock,
GemmKPerBlock,
GemmMPerThreadSubC,
GemmNPerThreadSubC,
GemmMPerThread,
GemmNPerThread,
GemmKPerThread,
GemmMLevel0Cluster,
GemmNLevel0Cluster,
GemmMLevel1Cluster,
GemmNLevel1Cluster,
GemmKPerThreadLoop,
GemmThreadGemmDataPerReadM,
GemmThreadGemmDataPerReadN,
GemmABlockCopyThreadSliceLengths_GemmK_GemmM,
......
driver/include/device_convolution_backward_data_implicit_gemm_v3r1_nchw_kcyx_nkhw.hpp
View file @ 1a66e35b
......@@ -66,13 +66,13 @@ void device_convolution_backward_data_implicit_gemm_v3r1_nchw_kcyx_nkhw(InDesc i
constexpr index_t GemmMPerBlock = 128;
constexpr index_t GemmNPerBlock = 128;
constexpr index_t GemmKPerBlock = 8;
constexpr index_t GemmMPerThreadSubC = 4;
constexpr index_t GemmNPerThreadSubC = 4;
constexpr index_t GemmMPerThread = 4;
constexpr index_t GemmNPerThread = 4;
constexpr index_t GemmKPerThread = 1;
constexpr index_t GemmMLevel0Cluster = 4;
constexpr index_t GemmNLevel0Cluster = 4;
constexpr index_t GemmMLevel1Cluster = 4;
constexpr index_t GemmNLevel1Cluster = 4;
constexpr index_t GemmKPerThreadLoop = 1;
constexpr index_t GemmThreadGemmDataPerReadM = 4;
constexpr index_t GemmThreadGemmDataPerReadN = 4;
......@@ -91,33 +91,33 @@ void device_convolution_backward_data_implicit_gemm_v3r1_nchw_kcyx_nkhw(InDesc i
constexpr index_t GemmCThreadCopyDstDataPerWrite_GemmN1 = 1;
#endif
constexpr index_t gcd_stride_dilation_h = math::gcd(ConvStrideH, ConvDilationH);
constexpr index_t gcd_stride_dilation_w = math::gcd(ConvStrideW, ConvDilationW);
constexpr index_t GcdStrideDilationH = math::gcd(ConvStrideH, ConvDilationH);
constexpr index_t GcdStrideDilationW = math::gcd(ConvStrideW, ConvDilationW);
constexpr index_t Ytilda = ConvStrideH / gcd_stride_dilation_h;
constexpr index_t Xtilda = ConvStrideW / gcd_stride_dilation_w;
constexpr index_t YTilda = ConvStrideH / GcdStrideDilationH;
constexpr index_t XTilda = ConvStrideW / GcdStrideDilationW;
constexpr index_t Ydot = math::integer_divide_ceil(Y, Ytilda);
constexpr index_t Xdot = math::integer_divide_ceil(X, Xtilda);
constexpr index_t YDot = math::integer_divide_ceil(Y, YTilda);
constexpr index_t XDot = math::integer_divide_ceil(X, XTilda);
constexpr index_t Htilda = Ho + math::integer_divide_ceil(ConvDilationH * (Y - 1), ConvStrideH);
constexpr index_t Wtilda = Wo + math::integer_divide_ceil(ConvDilationW * (X - 1), ConvStrideW);
constexpr index_t HTilda = Ho + math::integer_divide_ceil(ConvDilationH * (Y - 1), ConvStrideH);
constexpr index_t WTilda = Wo + math::integer_divide_ceil(ConvDilationW * (X - 1), ConvStrideW);
constexpr index_t HtildaLeft = math::integer_divide_floor(
math::max(0, InLeftPads{}[0] - ConvDilationH * (Ytilda - 1)), ConvStrides{}[0]);
constexpr index_t WtildaLeft = math::integer_divide_floor(
math::max(0, InLeftPads{}[1] - ConvDilationW * (Xtilda - 1)), ConvStrides{}[1]);
constexpr index_t HTildaLeft = math::integer_divide_floor(
math::max(0, InLeftPads{}[0] - ConvDilationH * (YTilda - 1)), ConvStrides{}[0]);
constexpr index_t WTildaLeft = math::integer_divide_floor(
math::max(0, InLeftPads{}[1] - ConvDilationW * (XTilda - 1)), ConvStrides{}[1]);
constexpr index_t HtildaRight = math::min(
Htilda, math::integer_divide_ceil(InLeftPads{}[0] + Hi - 1, ConvStrides{}[0]) + 1);
constexpr index_t WtildaRight = math::min(
Wtilda, math::integer_divide_ceil(InLeftPads{}[1] + Wi - 1, ConvStrides{}[1]) + 1);
constexpr index_t HTildaRight = math::min(
HTilda, math::integer_divide_ceil(InLeftPads{}[0] + Hi - 1, ConvStrides{}[0]) + 1);
constexpr index_t WTildaRight = math::min(
WTilda, math::integer_divide_ceil(InLeftPads{}[1] + Wi - 1, ConvStrides{}[1]) + 1);
constexpr index_t HtildaTrim = HtildaRight - HtildaLeft;
constexpr index_t WtildaTrim = WtildaRight - WtildaLeft;
constexpr index_t HTildaSlice = HTildaRight - HTildaLeft;
constexpr index_t WTildaSlice = WTildaRight - WTildaLeft;
constexpr index_t GemmM = C;
constexpr index_t GemmN = N * HtildaTrim * WtildaTrim;
constexpr index_t GemmN = N * HTildaSlice * WTildaSlice;
constexpr index_t GridSize = math::integer_divide_ceil(GemmM, GemmMPerBlock) *
math::integer_divide_ceil(GemmN, GemmNPerBlock);
......@@ -139,13 +139,13 @@ void device_convolution_backward_data_implicit_gemm_v3r1_nchw_kcyx_nkhw(InDesc i
GemmMPerBlock,
GemmNPerBlock,
GemmKPerBlock,
GemmMPerThreadSubC,
GemmNPerThreadSubC,
GemmMPerThread,
GemmNPerThread,
GemmKPerThread,
GemmMLevel0Cluster,
GemmNLevel0Cluster,
GemmMLevel1Cluster,
GemmNLevel1Cluster,
GemmKPerThreadLoop,
GemmThreadGemmDataPerReadM,
GemmThreadGemmDataPerReadN,
GemmABlockCopyThreadSliceLengths_GemmK_GemmM,
......
driver/include/device_convolution_backward_data_implicit_gemm_v4r1_nchw_kcyx_nkhw.hpp
View file @ 1a66e35b
......@@ -69,13 +69,13 @@ void device_convolution_backward_data_implicit_gemm_v4r1_nchw_kcyx_nkhw(InDesc i
constexpr index_t GemmMPerBlock = 128;
constexpr index_t GemmNPerBlock = 128;
constexpr index_t GemmKPerBlock = 8;
constexpr index_t GemmMPerThreadSubC = 4;
constexpr index_t GemmNPerThreadSubC = 4;
constexpr index_t GemmMPerThread = 4;
constexpr index_t GemmNPerThread = 4;
constexpr index_t GemmKPerThread = 1;
constexpr index_t GemmMLevel0Cluster = 4;
constexpr index_t GemmNLevel0Cluster = 4;
constexpr index_t GemmMLevel1Cluster = 4;
constexpr index_t GemmNLevel1Cluster = 4;
constexpr index_t GemmKPerThreadLoop = 1;
constexpr index_t GemmThreadGemmDataPerReadM = 4;
constexpr index_t GemmThreadGemmDataPerReadN = 4;
......@@ -99,13 +99,13 @@ void device_convolution_backward_data_implicit_gemm_v4r1_nchw_kcyx_nkhw(InDesc i
constexpr index_t GemmMPerBlock = 128;
constexpr index_t GemmNPerBlock = 128;
constexpr index_t GemmKPerBlock = 16;
constexpr index_t GemmMPerThreadSubC = 4;
constexpr index_t GemmNPerThreadSubC = 4;
constexpr index_t GemmMPerThread = 4;
constexpr index_t GemmNPerThread = 4;
constexpr index_t GemmKPerThread = 1;
constexpr index_t GemmMLevel0Cluster = 4;
constexpr index_t GemmNLevel0Cluster = 4;
constexpr index_t GemmMLevel1Cluster = 4;
constexpr index_t GemmNLevel1Cluster = 4;
constexpr index_t GemmKPerThreadLoop = 1;
constexpr index_t GemmThreadGemmDataPerReadM = 4;
constexpr index_t GemmThreadGemmDataPerReadN = 4;
......@@ -124,33 +124,33 @@ void device_convolution_backward_data_implicit_gemm_v4r1_nchw_kcyx_nkhw(InDesc i
constexpr index_t GemmCThreadCopyDstDataPerWrite_GemmN1 = 1;
#endif
constexpr index_t gcd_stride_dilation_h = math::gcd(ConvStrideH, ConvDilationH);
constexpr index_t gcd_stride_dilation_w = math::gcd(ConvStrideW, ConvDilationW);
constexpr index_t GcdStrideDilationH = math::gcd(ConvStrideH, ConvDilationH);
constexpr index_t GcdStrideDilationW = math::gcd(ConvStrideW, ConvDilationW);
constexpr index_t Ytilda = ConvStrideH / gcd_stride_dilation_h;
constexpr index_t Xtilda = ConvStrideW / gcd_stride_dilation_w;
constexpr index_t YTilda = ConvStrideH / GcdStrideDilationH;
constexpr index_t XTilda = ConvStrideW / GcdStrideDilationW;
constexpr index_t Ydot = math::integer_divide_ceil(Y, Ytilda);
constexpr index_t Xdot = math::integer_divide_ceil(X, Xtilda);
constexpr index_t YDot = math::integer_divide_ceil(Y, YTilda);
constexpr index_t XDot = math::integer_divide_ceil(X, XTilda);
constexpr index_t Htilda = Ho + math::integer_divide_ceil(ConvDilationH * (Y - 1), ConvStrideH);
constexpr index_t Wtilda = Wo + math::integer_divide_ceil(ConvDilationW * (X - 1), ConvStrideW);
constexpr index_t HTilda = Ho + math::integer_divide_ceil(ConvDilationH * (Y - 1), ConvStrideH);
constexpr index_t WTilda = Wo + math::integer_divide_ceil(ConvDilationW * (X - 1), ConvStrideW);
constexpr index_t HtildaLeft = math::integer_divide_floor(
math::max(0, InLeftPads{}[0] - ConvDilationH * (Ytilda - 1)), ConvStrides{}[0]);
constexpr index_t WtildaLeft = math::integer_divide_floor(
math::max(0, InLeftPads{}[1] - ConvDilationW * (Xtilda - 1)), ConvStrides{}[1]);
constexpr index_t HTildaLeft = math::integer_divide_floor(
math::max(0, InLeftPads{}[0] - ConvDilationH * (YTilda - 1)), ConvStrides{}[0]);
constexpr index_t WTildaLeft = math::integer_divide_floor(
math::max(0, InLeftPads{}[1] - ConvDilationW * (XTilda - 1)), ConvStrides{}[1]);
constexpr index_t HtildaRight = math::min(
Htilda, math::integer_divide_ceil(InLeftPads{}[0] + Hi - 1, ConvStrides{}[0]) + 1);
constexpr index_t WtildaRight = math::min(
Wtilda, math::integer_divide_ceil(InLeftPads{}[1] + Wi - 1, ConvStrides{}[1]) + 1);
constexpr index_t HTildaRight = math::min(
HTilda, math::integer_divide_ceil(InLeftPads{}[0] + Hi - 1, ConvStrides{}[0]) + 1);
constexpr index_t WTildaRight = math::min(
WTilda, math::integer_divide_ceil(InLeftPads{}[1] + Wi - 1, ConvStrides{}[1]) + 1);
constexpr index_t HtildaTrim = HtildaRight - HtildaLeft;
constexpr index_t WtildaTrim = WtildaRight - WtildaLeft;
constexpr index_t HTildaSlice = HTildaRight - HTildaLeft;
constexpr index_t WTildaSlice = WTildaRight - WTildaLeft;
constexpr index_t GemmM = C;
constexpr index_t GemmN = N * HtildaTrim * WtildaTrim;
constexpr index_t GemmN = N * HTildaSlice * WTildaSlice;
constexpr index_t GridSize = math::integer_divide_ceil(GemmM, GemmMPerBlock) *
math::integer_divide_ceil(GemmN, GemmNPerBlock);
......@@ -159,7 +159,7 @@ void device_convolution_backward_data_implicit_gemm_v4r1_nchw_kcyx_nkhw(InDesc i
for(index_t i = 0; i < nrepeat; ++i)
{
using GridwiseConv = GridwiseConvolutionBackwardDataImplicitGemm_v4r1_nchw_kcyx_nkhw<
using GridwiseConvBwdData = GridwiseConvolutionBackwardDataImplicitGemm_v4r1_nchw_kcyx_nkhw<
GridSize,
BlockSize,
T,
......@@ -174,13 +174,13 @@ void device_convolution_backward_data_implicit_gemm_v4r1_nchw_kcyx_nkhw(InDesc i
GemmMPerBlock,
GemmNPerBlock,
GemmKPerBlock,
GemmMPerThreadSubC,
GemmNPerThreadSubC,
GemmMPerThread,
GemmNPerThread,
GemmKPerThread,
GemmMLevel0Cluster,
GemmNLevel0Cluster,
GemmMLevel1Cluster,
GemmNLevel1Cluster,
GemmKPerThreadLoop,
GemmThreadGemmDataPerReadM,
GemmThreadGemmDataPerReadN,
GemmABlockCopyThreadSliceLengths_GemmK_GemmM,
......@@ -196,21 +196,29 @@ void device_convolution_backward_data_implicit_gemm_v4r1_nchw_kcyx_nkhw(InDesc i
KernelTimer timer;
timer.Start();
static_for<0, GridwiseConv::GetNumberOfGemm(), 1>{}([&](auto gemm_id_) {
static_for<0, GridwiseConvBwdData::GetNumberOfGemm(), 1>{}([&](auto gemm_id_) {
constexpr index_t gemm_id = decltype(gemm_id_){};
launch_kernel(run_gridwise_convolution_backward_data_v4r1<GridwiseConv,
gemm_id,
T* const __restrict__,
const T* const __restrict__,
const T* const __restrict__>,
dim3(GridSize),
dim3(BlockSize),
0,
0,
static_cast<T*>(in_nchw_device_buf.GetDeviceBuffer()),
static_cast<T*>(wei_kcyx_device_buf.GetDeviceBuffer()),
static_cast<T*>(out_nkhw_device_buf.GetDeviceBuffer()));
constexpr auto gemm_sizes = GridwiseConvBwdData::GetGemmSize(gemm_id);
constexpr index_t gemm_k = gemm_sizes.At(2);
constexpr bool is_gemm_not_empty = gemm_k > 0;
// only compile and run if GEMM is no empty
static_if<is_gemm_not_empty>{}([&](auto fwd) {
launch_kernel(
run_gridwise_convolution_backward_data_v4r1<GridwiseConvBwdData,
fwd(gemm_id),
T* const __restrict__,
const T* const __restrict__,
const T* const __restrict__>,
dim3(GridSize),
dim3(BlockSize),
0,
0,
static_cast<T*>(in_nchw_device_buf.GetDeviceBuffer()),
static_cast<T*>(wei_kcyx_device_buf.GetDeviceBuffer()),
static_cast<T*>(out_nkhw_device_buf.GetDeviceBuffer()));
});
});
timer.End();
......
driver/src/conv_bwd_data_driver.cpp
View file @ 1a66e35b
......@@ -23,17 +23,16 @@ int main(int argc, char* argv[])
{
using namespace launcher;
#if 0
// 3x3 filter, 2x2 stride, 35x35 input
constexpr index_t N = 128;
constexpr index_t C = 1024;
constexpr index_t HI = 35;
constexpr index_t WI = 35;
constexpr index_t K = 1024;
constexpr index_t Y = 3;
constexpr index_t X = 3;
#if 1
constexpr index_t N = 64;
constexpr index_t C = 256;
constexpr index_t HI = 56;
constexpr index_t WI = 56;
constexpr index_t K = 256;
constexpr index_t Y = 1;
constexpr index_t X = 1;
using ConvStrides = Sequence<2, 2>;
using ConvStrides = Sequence<1, 1>;
using ConvDilations = Sequence<1, 1>;
using LeftPads = Sequence<0, 0>;
......@@ -158,7 +157,7 @@ int main(int argc, char* argv[])
using LeftPads = Sequence<2, 2>;
using RightPads = Sequence<2, 2>;
#elif 1
#elif 0
// 1x7 filter, 0x3 pad, 17x17 input
constexpr index_t N = 128;
constexpr index_t C = 128;
......@@ -188,7 +187,7 @@ int main(int argc, char* argv[])
using LeftPads = Sequence<3, 0>;
using RightPads = Sequence<3, 0>;
#elif 0
#elif 1
// 3x3 filter, 2x2 stride, 35x35 input, 17x17 output
constexpr index_t N = 128;
constexpr index_t C = 1024;
......
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