"examples/dreambooth/train_dreambooth_lora_sd3.py" did not exist on "df2bc5ef28d220f12a0d48848e7e880ae5f31ead"
Commit 529f2507 authored by rocking's avatar rocking
Browse files

Imitate MakeDescriptor from transform_conv_bwd_data_to_gemm_v1.hpp

parent eb6a5db9
......@@ -28,9 +28,334 @@ template <typename DOutDataType,
ck::index_t InSrcOutDstVectorSize>
struct DeviceAvgPool3dBwdImpl : public DeviceAvgPoolBwd<DOutDataType, DInDataType>
{
static constexpr index_t NDimSpatial = 3;
static constexpr auto I0 = Number<0>{};
static constexpr auto I1 = Number<1>{};
static constexpr ck::index_t M_BlockTileSize = MThreadClusterSize * MThreadSliceSize;
static constexpr ck::index_t K_BlockTileSize = KThreadClusterSize * KThreadSliceSize;
static auto
Make3DGridDescriptor_Out_M_K_In_M(const std::vector<ck::index_t>& dout_n_k_wos_lengths,
const std::vector<ck::index_t>& din_n_k_wos_length,
const std::vector<ck::index_t>& dout_n_k_wos_strides,
const std::vector<ck::index_t>& din_n_k_wos_strides,
const std::vector<ck::index_t>& window_lengths,
const std::vector<ck::index_t>& window_strides,
const std::vector<ck::index_t>& window_dilations,
const std::vector<ck::index_t>& input_left_pads,
const std::vector<ck::index_t>& input_right_pads,
const std::vector<ck::index_t>& tildes)
{
index_t i_ztilde = tildes[0];
index_t i_ytilde = tildes[1];
index_t i_xtilde = tildes[2];
const index_t N = dout_n_k_wos_lengths[0];
const index_t K = dout_n_k_wos_lengths[1];
const index_t Di = din_n_k_wos_length[2];
const index_t Hi = din_n_k_wos_length[3];
const index_t Wi = din_n_k_wos_length[4];
const index_t Do = dout_n_k_wos_lengths[2];
const index_t Ho = dout_n_k_wos_lengths[3];
const index_t Wo = dout_n_k_wos_lengths[4];
const index_t Z = window_lengths[0];
const index_t Y = window_lengths[1];
const index_t X = window_lengths[2];
const index_t InLeftPadD = input_left_pads[0];
const index_t InLeftPadH = input_left_pads[1];
const index_t InLeftPadW = input_left_pads[2];
const index_t InRightPadD = input_right_pads[0];
const index_t InRightPadH = input_right_pads[1];
const index_t InRightPadW = input_right_pads[2];
const index_t ConvStrideD = window_strides[0];
const index_t ConvStrideH = window_strides[1];
const index_t ConvStrideW = window_strides[2];
const index_t ConvDilationD = window_dilations[0];
const index_t ConvDilationH = window_dilations[1];
const index_t ConvDilationW = window_dilations[2];
const auto out_n_do_ho_wo_k_grid_desc =
make_naive_tensor_descriptor(make_tuple(N, Do, Ho, Wo, K),
make_tuple(dout_n_k_wos_strides[0],
dout_n_k_wos_strides[2],
dout_n_k_wos_strides[3],
dout_n_k_wos_strides[4],
dout_n_k_wos_strides[1]));
const auto GcdStrideDilationD = math::gcd(ConvStrideD, ConvDilationD);
const auto GcdStrideDilationH = math::gcd(ConvStrideH, ConvDilationH);
const auto GcdStrideDilationW = math::gcd(ConvStrideW, ConvDilationW);
const auto ZTilde = ConvStrideD / GcdStrideDilationD;
const auto YTilde = ConvStrideH / GcdStrideDilationH;
const auto XTilde = ConvStrideW / GcdStrideDilationW;
const auto ZDot = math::integer_divide_ceil(Z, ZTilde);
const auto YDot = math::integer_divide_ceil(Y, YTilde);
const auto XDot = math::integer_divide_ceil(X, XTilde);
const auto DTilde = Do + math::integer_divide_ceil(ConvDilationD * (Z - I1), ConvStrideD);
const auto HTilde = Ho + math::integer_divide_ceil(ConvDilationH * (Y - I1), ConvStrideH);
const auto WTilde = Wo + math::integer_divide_ceil(ConvDilationW * (X - I1), ConvStrideW);
// only work on Tildes that contribute to non-padding area of input tensor
const auto IDTildeSliceBegin = math::integer_divide_floor(
math::max(I0, InLeftPadD - ConvDilationD * (ZTilde - I1)), ConvStrideD);
const auto IHTildeSliceBegin = math::integer_divide_floor(
math::max(I0, InLeftPadH - ConvDilationH * (YTilde - I1)), ConvStrideH);
const auto IWTildeSliceBegin = math::integer_divide_floor(
math::max(I0, InLeftPadW - ConvDilationW * (XTilde - I1)), ConvStrideW);
const auto IDTildeSliceEnd =
math::min(DTilde, math::integer_divide_ceil(InLeftPadD + Di - I1, ConvStrideD) + I1);
const auto IHTildeSliceEnd =
math::min(HTilde, math::integer_divide_ceil(InLeftPadH + Hi - I1, ConvStrideH) + I1);
const auto IWTildeSliceEnd =
math::min(WTilde, math::integer_divide_ceil(InLeftPadW + Wi - I1, ConvStrideW) + I1);
const auto DTildeSlice = IDTildeSliceEnd - IDTildeSliceBegin;
const auto HTildeSlice = IHTildeSliceEnd - IHTildeSliceBegin;
const auto WTildeSlice = IWTildeSliceEnd - IWTildeSliceBegin;
// ReduceK is different for each Reduce
const auto ZDotSlice = math::integer_divide_ceil(Z - i_ztilde, ZTilde);
const auto YDotSlice = math::integer_divide_ceil(Y - i_ytilde, YTilde);
const auto XDotSlice = math::integer_divide_ceil(X - i_xtilde, XTilde);
// Out[ReduceM, ReduceK]
const auto out_n_dop_hop_wop_k_grid_desc = transform_tensor_descriptor(
out_n_do_ho_wo_k_grid_desc,
make_tuple(make_pass_through_transform(N),
make_pad_transform(Do, I0, I0),
make_pad_transform(Ho, I0, I0),
make_pad_transform(Wo, I0, I0),
make_pass_through_transform(K)),
make_tuple(Sequence<0>{}, Sequence<1>{}, Sequence<2>{}, Sequence<3>{}, Sequence<4>{}),
make_tuple(Sequence<0>{}, Sequence<1>{}, Sequence<2>{}, Sequence<3>{}, Sequence<4>{}));
const auto out_n_zdot_dtilde_ydot_htilde_xdot_wtilde_k_grid_desc =
transform_tensor_descriptor(
out_n_dop_hop_wop_k_grid_desc,
make_tuple(
make_pass_through_transform(N),
make_embed_transform(make_tuple(ZDot, DTilde),
make_tuple(-ConvDilationD / GcdStrideDilationD, I1)),
make_embed_transform(make_tuple(YDot, HTilde),
make_tuple(-ConvDilationH / GcdStrideDilationH, I1)),
make_embed_transform(make_tuple(XDot, WTilde),
make_tuple(-ConvDilationW / GcdStrideDilationW, I1)),
make_pass_through_transform(K)),
make_tuple(
Sequence<0>{}, Sequence<1>{}, Sequence<2>{}, Sequence<3>{}, Sequence<4>{}),
make_tuple(Sequence<0>{},
Sequence<1, 2>{},
Sequence<3, 4>{},
Sequence<5, 6>{},
Sequence<7>{}));
const auto
out_n_zdotslice_dtildeslice_ydotslice_htildeslice_xdotslice_wtildeslice_k_grid_desc =
transform_tensor_descriptor(
out_n_zdot_dtilde_ydot_htilde_xdot_wtilde_k_grid_desc,
make_tuple(make_pass_through_transform(N),
make_slice_transform(ZDot, I0, ZDotSlice),
make_slice_transform(DTilde, IDTildeSliceBegin, DTildeSlice),
make_slice_transform(YDot, I0, YDotSlice),
make_slice_transform(HTilde, IHTildeSliceBegin, HTildeSlice),
make_slice_transform(XDot, I0, XDotSlice),
make_slice_transform(WTilde, IWTildeSliceBegin, WTildeSlice),
make_pass_through_transform(K)),
make_tuple(Sequence<0>{},
Sequence<1>{},
Sequence<2>{},
Sequence<3>{},
Sequence<4>{},
Sequence<5>{},
Sequence<6>{},
Sequence<7>{}),
make_tuple(Sequence<0>{},
Sequence<1>{},
Sequence<2>{},
Sequence<3>{},
Sequence<4>{},
Sequence<5>{},
Sequence<6>{},
Sequence<7>{}));
const auto out_grid_desc_reducemraw_reducekraw = transform_tensor_descriptor(
out_n_zdotslice_dtildeslice_ydotslice_htildeslice_xdotslice_wtildeslice_k_grid_desc,
make_tuple(
make_merge_transform(make_tuple(N, DTildeSlice, HTildeSlice, WTildeSlice, K)),
make_merge_transform(make_tuple(ZDotSlice, YDotSlice, XDotSlice))),
make_tuple(Sequence<0, 2, 4, 6, 7>{}, Sequence<1, 3, 5>{}),
make_tuple(Sequence<0>{}, Sequence<1>{}));
const index_t MRaw = N * DTildeSlice * HTildeSlice * WTildeSlice * K;
const index_t MPad = math::integer_least_multiple(MRaw, M_BlockTileSize) - MRaw;
const index_t KRaw = ZDotSlice * YDotSlice * XDotSlice;
const index_t KPad = math::integer_least_multiple(KRaw, K_BlockTileSize) - KRaw;
const auto out_grid_desc_reducem_reducek = transform_tensor_descriptor(
out_grid_desc_reducemraw_reducekraw,
make_tuple(make_right_pad_transform(MRaw, MPad), make_right_pad_transform(KRaw, KPad)),
make_tuple(Sequence<0>{}, Sequence<1>{}),
make_tuple(Sequence<0>{}, Sequence<1>{}));
// In[ReduceM]
const auto in_n_di_hi_wi_k_grid_desc =
make_naive_tensor_descriptor(make_tuple(N, Di, Hi, Wi, K),
make_tuple(din_n_k_wos_strides[0],
din_n_k_wos_strides[2],
din_n_k_wos_strides[3],
din_n_k_wos_strides[4],
din_n_k_wos_strides[1]));
const auto in_n_dip_hip_wip_k_grid_desc = transform_tensor_descriptor(
in_n_di_hi_wi_k_grid_desc,
make_tuple(make_pass_through_transform(N),
make_pad_transform(Di, InLeftPadD, InRightPadD),
make_pad_transform(Hi, InLeftPadH, InRightPadH),
make_pad_transform(Wi, InLeftPadW, InRightPadW),
make_pass_through_transform(K)),
make_tuple(Sequence<0>{}, Sequence<1>{}, Sequence<2>{}, Sequence<3>{}, Sequence<4>{}),
make_tuple(Sequence<0>{}, Sequence<1>{}, Sequence<2>{}, Sequence<3>{}, Sequence<4>{}));
const auto in_n_ztilde_dtilde_ytilde_htilde_xtilde_wtilde_k_grid_desc =
transform_tensor_descriptor(
in_n_dip_hip_wip_k_grid_desc,
make_tuple(make_pass_through_transform(N),
make_embed_transform(make_tuple(XTilde, DTilde),
make_tuple(ConvDilationD, ConvStrideD)),
make_embed_transform(make_tuple(YTilde, HTilde),
make_tuple(ConvDilationH, ConvStrideH)),
make_embed_transform(make_tuple(XTilde, WTilde),
make_tuple(ConvDilationW, ConvStrideW)),
make_pass_through_transform(K)),
make_tuple(
Sequence<0>{}, Sequence<1>{}, Sequence<2>{}, Sequence<3>{}, Sequence<4>{}),
make_tuple(Sequence<0>{},
Sequence<1, 2>{},
Sequence<3, 4>{},
Sequence<5, 6>{},
Sequence<7>{}));
const auto in_n_dtildeslice_htildeslice_wtildeslice_k_grid_desc =
transform_tensor_descriptor(
in_n_ztilde_dtilde_ytilde_htilde_xtilde_wtilde_k_grid_desc,
make_tuple(make_pass_through_transform(N),
make_freeze_transform(i_ztilde),
make_slice_transform(DTilde, IDTildeSliceBegin, DTildeSlice),
make_freeze_transform(i_ytilde),
make_slice_transform(HTilde, IHTildeSliceBegin, HTildeSlice),
make_freeze_transform(i_xtilde),
make_slice_transform(WTilde, IWTildeSliceBegin, WTildeSlice),
make_pass_through_transform(K)),
make_tuple(Sequence<0>{},
Sequence<1>{},
Sequence<2>{},
Sequence<3>{},
Sequence<4>{},
Sequence<5>{},
Sequence<6>{},
Sequence<7>{}),
make_tuple(Sequence<0>{},
Sequence<>{},
Sequence<1>{},
Sequence<>{},
Sequence<2>{},
Sequence<>{},
Sequence<3>{},
Sequence<4>{}));
const auto in_grid_desc_reducemraw = transform_tensor_descriptor(
in_n_dtildeslice_htildeslice_wtildeslice_k_grid_desc,
make_tuple(
make_merge_transform(make_tuple(N, DTildeSlice, HTildeSlice, WTildeSlice, K))),
make_tuple(Sequence<0, 1, 2, 3, 4>{}),
make_tuple(Sequence<0>{}));
const auto in_grid_desc_reducem =
transform_tensor_descriptor(in_grid_desc_reducemraw,
make_tuple(make_right_pad_transform(MRaw, MPad)),
make_tuple(Sequence<0>{}),
make_tuple(Sequence<0>{}));
return make_tuple(out_grid_desc_reducem_reducek, in_grid_desc_reducem);
}
struct Argument : public BaseArgument
{
Argument() {}
Argument(const DOutDataType* p_dout,
DInDataType* p_din,
std::vector<ck::index_t> dout_n_k_wos_lengths,
std::vector<ck::index_t> din_n_k_wos_length,
std::vector<ck::index_t> dout_n_k_wos_strides,
std::vector<ck::index_t> din_n_k_wos_strides,
std::vector<ck::index_t> window_lengths,
std::vector<ck::index_t> window_strides,
std::vector<ck::index_t> window_dilations,
std::vector<ck::index_t> input_left_pads,
std::vector<ck::index_t> input_right_pads)
: p_dout_grid_{p_dout}, p_din_grid_{p_din}, num_reduce_{1}
{
ignore = p_dout;
ignore = p_din;
ignore = dout_n_k_wos_lengths;
ignore = dout_n_k_wos_strides;
ignore = din_n_k_wos_length;
ignore = din_n_k_wos_strides;
ignore = window_lengths;
ignore = window_strides;
ignore = window_dilations;
ignore = input_left_pads;
ignore = input_right_pads;
std::vector<ck::index_t> Tildes(NDimSpatial);
for(int i = 0; i < NDimSpatial; ++i)
{
int GcdStrideDilation = math::gcd(window_strides[i], window_dilations[i]);
Tildes[i] = window_strides[i] / GcdStrideDilation;
num_reduce_ *= Tildes[i];
}
for(index_t i_ztilde = 0; i_ztilde < Tildes[0]; ++i_ztilde)
{
for(index_t i_ytilde = 0; i_ytilde < Tildes[1]; ++i_ytilde)
{
for(index_t i_xtilde = 0; i_xtilde < Tildes[2]; ++i_xtilde)
{
// check slice is valid
const auto ZDotSlice =
math::integer_divide_ceil(window_lengths[0] - i_ztilde, Tildes[0]);
const auto YDotSlice =
math::integer_divide_ceil(window_lengths[1] - i_ytilde, Tildes[1]);
const auto XDotSlice =
math::integer_divide_ceil(window_lengths[2] - i_xtilde, Tildes[2]);
if(ZDotSlice * YDotSlice * XDotSlice <= 0)
{
continue;
}
}
}
}
}
// pointer
const DOutDataType* p_dout_grid_;
DInDataType* p_din_grid_;
int num_reduce_;
};
struct Invoker : public BaseInvoker
......@@ -60,27 +385,25 @@ struct DeviceAvgPool3dBwdImpl : public DeviceAvgPoolBwd<DOutDataType, DInDataTyp
void* p_din,
std::vector<ck::index_t> dout_n_k_wos_lengths,
std::vector<ck::index_t> din_n_k_wos_length,
std::vector<ck::index_t> window_k_c_xs_lengths,
std::vector<ck::index_t> dout_n_k_wos_strides,
std::vector<ck::index_t> din_n_k_wos_strides,
std::vector<ck::index_t> window_lengths,
std::vector<ck::index_t> window_strides,
std::vector<ck::index_t> window_dilations,
std::vector<ck::index_t> input_left_pads,
std::vector<ck::index_t> input_right_pads) override
{
ignore = p_dout;
ignore = p_din;
ignore = dout_n_k_wos_lengths;
ignore = dout_n_k_wos_strides;
ignore = din_n_k_wos_length;
ignore = din_n_k_wos_strides;
ignore = window_k_c_xs_lengths;
ignore = window_strides;
ignore = window_dilations;
ignore = input_left_pads;
ignore = input_right_pads;
return std::make_unique<Argument>();
return std::make_unique<Argument>(static_cast<const DOutDataType*>(p_dout),
static_cast<DInDataType*>(p_din),
dout_n_k_wos_lengths,
din_n_k_wos_length,
dout_n_k_wos_strides,
din_n_k_wos_strides,
window_lengths,
window_strides,
window_dilations,
input_left_pads,
input_right_pads);
}
std::unique_ptr<BaseInvoker> MakeInvokerPointer() override
......
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