Skip to content

GitLab

"git@developer.sourcefind.cn:yangql/composable_kernel-1.git" did not exist on "4a51d2da9de3524e96f2abed5f843ff9da535db3"
Unverified Commit 12dfba3d authored by Chao Liu's avatar Chao Liu Committed by GitHub
Browse files

revert changes in threadwise copy due to PR #101 (space filling curve used in... 

revert changes in threadwise copy due to PR #101 (space filling curve used in threadwise copy) (#111)
parent ad41aa0e
Expand all Hide whitespace changes
Inline Side-by-side
Showing with 1188 additions and 171 deletions
composable_kernel/include/tensor_operation/threadwise_tensor_slice_transfer_v3r1.hpp
View file @ 12dfba3d
...@@ -5,7 +5,6 @@ ...@@ -5,7 +5,6 @@
#include "tensor_descriptor.hpp" #include "tensor_descriptor.hpp"
#include "tensor_descriptor_helper.hpp" #include "tensor_descriptor_helper.hpp"
#include "static_tensor.hpp" #include "static_tensor.hpp"
#include "tensor_space_filling_curve.hpp"
namespace ck { namespace ck {
...@@ -124,16 +123,73 @@ struct ThreadwiseTensorSliceTransfer_v3r1 ...@@ -124,16 +123,73 @@ struct ThreadwiseTensorSliceTransfer_v3r1
constexpr auto src_scalar_per_access = generate_sequence( constexpr auto src_scalar_per_access = generate_sequence(
detail::lambda_scalar_per_access<SrcVectorDim, SrcScalarPerVector>{}, Number<nDim>{}); detail::lambda_scalar_per_access<SrcVectorDim, SrcScalarPerVector>{}, Number<nDim>{});
using SpaceFillingCurve = SpaceFillingCurve<SliceLengths, constexpr auto src_access_lengths = SliceLengths{} / src_scalar_per_access;
SrcDimAccessOrder,
remove_cv_t<decltype(src_scalar_per_access)>>; constexpr auto src_dim_access_order = SrcDimAccessOrder{};
constexpr auto ordered_src_access_lengths =
container_reorder_given_new2old(src_access_lengths, src_dim_access_order);
// make forward steps
const auto src_forward_steps = generate_tuple(
[&](auto i) {
Index forward_step_idx;
static_for<0, nDim, 1>{}([&](auto j) {
forward_step_idx(j) = (i.value == j.value) ? src_scalar_per_access[i] : 0;
});
// loop over space-filling curve return make_tensor_coordinate_step(src_desc, forward_step_idx);
constexpr auto num_accesses = SpaceFillingCurve::GetNumOfAccess(); },
Number<nDim>{});
// make backward steps
const auto src_backward_steps = generate_tuple(
[&](auto i) {
Index backward_step_idx;
static_for<0, nDim, 1>{}([&](auto j) {
backward_step_idx(j) = (i.value == j.value) ? -src_scalar_per_access[i] : 0;
});
return make_tensor_coordinate_step(src_desc, backward_step_idx);
},
Number<nDim>{});
// loop over tensor and copy // loop over tensor and copy
static_for<0, num_accesses, 1>{}([&](auto idx_1d) { static_ford<decltype(ordered_src_access_lengths)>{}([&](auto ordered_src_access_idx) {
constexpr auto src_data_idx = SpaceFillingCurve::GetIndex(idx_1d); // judge move forward or move backward
constexpr auto forward_sweep = [&]() {
StaticallyIndexedArray<bool, nDim> forward_sweep_;
forward_sweep_(I0) = true;
static_for<1, nDim, 1>{}([&](auto i) {
index_t tmp = ordered_src_access_idx[I0];
static_for<1, i, 1>{}([&](auto j) {
tmp = tmp * ordered_src_access_lengths[j] + ordered_src_access_idx[j];
});
forward_sweep_(i) = tmp % 2 == 0;
});
return forward_sweep_;
}();
// calculate src data index
constexpr auto src_data_idx = [&]() {
Index ordered_idx;
static_for<0, nDim, 1>{}([&](auto i) {
ordered_idx(i) = forward_sweep[i] ? ordered_src_access_idx[i]
: ordered_src_access_lengths[i] - 1 -
ordered_src_access_idx[i];
});
return container_reorder_given_old2new(ordered_idx, src_dim_access_order) *
src_scalar_per_access;
}();
constexpr auto src_data_idx_seq = generate_sequence_v2( constexpr auto src_data_idx_seq = generate_sequence_v2(
[&](auto i) { return Number<src_data_idx[i]>{}; }, Number<src_data_idx.Size()>{}); [&](auto i) { return Number<src_data_idx[i]>{}; }, Number<src_data_idx.Size()>{});
...@@ -162,13 +218,39 @@ struct ThreadwiseTensorSliceTransfer_v3r1 ...@@ -162,13 +218,39 @@ struct ThreadwiseTensorSliceTransfer_v3r1
.template SetAsType<src_vector_t>( .template SetAsType<src_vector_t>(
src_data_idx_seq, src_vector_container.template AsType<src_vector_t>()[I0]); src_data_idx_seq, src_vector_container.template AsType<src_vector_t>()[I0]);
// move coordinate constexpr auto move_on_dim = [&]() constexpr
if constexpr(idx_1d.value != num_accesses - 1)
{ {
constexpr auto forward_step = SpaceFillingCurve::GetForwardStep(idx_1d); StaticallyIndexedArray<bool, nDim> move_on_dim_;
move_tensor_coordinate(
src_desc, src_coord_, make_tensor_coordinate_step(src_desc, forward_step)); static_for<0, nDim, 1>{}([&](auto i) {
move_on_dim_(i) = ordered_src_access_idx[i] < ordered_src_access_lengths[i] - 1;
static_for<i + 1, nDim, 1>{}([&](auto j) {
move_on_dim_(i) &=
ordered_src_access_idx[j] == ordered_src_access_lengths[j] - 1;
});
});
return move_on_dim_;
} }
();
// move src coord
static_for<0, nDim, 1>{}([&](auto i) {
if constexpr(move_on_dim[i])
{
if constexpr(forward_sweep[i])
{
move_tensor_coordinate(
src_desc, src_coord_, src_forward_steps[src_dim_access_order[i]]);
}
else
{
move_tensor_coordinate(
src_desc, src_coord_, src_backward_steps[src_dim_access_order[i]]);
}
}
});
}); });
// move src coordinate back to slice origin (or not) // move src coordinate back to slice origin (or not)
...@@ -292,15 +374,73 @@ struct ThreadwiseTensorSliceTransfer_v3r1 ...@@ -292,15 +374,73 @@ struct ThreadwiseTensorSliceTransfer_v3r1
constexpr auto dst_scalar_per_access = generate_sequence( constexpr auto dst_scalar_per_access = generate_sequence(
detail::lambda_scalar_per_access<DstVectorDim, DstScalarPerVector>{}, Number<nDim>{}); detail::lambda_scalar_per_access<DstVectorDim, DstScalarPerVector>{}, Number<nDim>{});
using SpaceFillingCurve = SpaceFillingCurve<SliceLengths, constexpr auto dst_access_lengths = SliceLengths{} / dst_scalar_per_access;
DstDimAccessOrder,
remove_cv_t<decltype(dst_scalar_per_access)>>; constexpr auto dst_dim_access_order = DstDimAccessOrder{};
constexpr auto ordered_dst_access_lengths =
container_reorder_given_new2old(dst_access_lengths, dst_dim_access_order);
// make forward steps
const auto dst_forward_steps = generate_tuple(
[&](auto i) {
Index forward_step_idx;
static_for<0, nDim, 1>{}([&](auto j) {
forward_step_idx(j) = (i.value == j.value) ? dst_scalar_per_access[i] : 0;
});
return make_tensor_coordinate_step(dst_desc, forward_step_idx);
},
Number<nDim>{});
// make backward steps
const auto dst_backward_steps = generate_tuple(
[&](auto i) {
Index backward_step_idx;
constexpr auto num_accesses = SpaceFillingCurve::GetNumOfAccess(); static_for<0, nDim, 1>{}([&](auto j) {
backward_step_idx(j) = (i.value == j.value) ? -dst_scalar_per_access[i] : 0;
});
return make_tensor_coordinate_step(dst_desc, backward_step_idx);
},
Number<nDim>{});
// loop over tensor and copy // loop over tensor and copy
static_for<0, num_accesses, 1>{}([&](auto idx_1d) { static_ford<decltype(ordered_dst_access_lengths)>{}([&](auto ordered_dst_access_idx) {
constexpr auto dst_data_idx = SpaceFillingCurve::GetIndex(idx_1d); // judge move forward or move backward
constexpr auto forward_sweep = [&]() {
StaticallyIndexedArray<bool, nDim> forward_sweep_;
forward_sweep_(I0) = true;
static_for<1, nDim, 1>{}([&](auto i) {
index_t tmp = ordered_dst_access_idx[I0];
static_for<1, i, 1>{}([&](auto j) {
tmp = tmp * ordered_dst_access_lengths[j] + ordered_dst_access_idx[j];
});
forward_sweep_(i) = tmp % 2 == 0;
});
return forward_sweep_;
}();
// calculate dst data index
constexpr auto dst_data_idx = [&]() {
Index ordered_idx;
static_for<0, nDim, 1>{}([&](auto i) {
ordered_idx(i) = forward_sweep[i] ? ordered_dst_access_idx[i]
: ordered_dst_access_lengths[i] - 1 -
ordered_dst_access_idx[i];
});
return container_reorder_given_old2new(ordered_idx, dst_dim_access_order) *
dst_scalar_per_access;
}();
constexpr auto dst_data_idx_seq = generate_sequence_v2( constexpr auto dst_data_idx_seq = generate_sequence_v2(
[&](auto i) { return Number<dst_data_idx[i]>{}; }, Number<dst_data_idx.Size()>{}); [&](auto i) { return Number<dst_data_idx[i]>{}; }, Number<dst_data_idx.Size()>{});
...@@ -330,13 +470,39 @@ struct ThreadwiseTensorSliceTransfer_v3r1 ...@@ -330,13 +470,39 @@ struct ThreadwiseTensorSliceTransfer_v3r1
is_dst_valid, is_dst_valid,
dst_vector_container.template AsType<dst_vector_t>()[I0]); dst_vector_container.template AsType<dst_vector_t>()[I0]);
// move coordinate constexpr auto move_on_dim = [&]() constexpr
if constexpr(idx_1d.value != num_accesses - 1)
{ {
constexpr auto forward_step = SpaceFillingCurve::GetForwardStep(idx_1d); StaticallyIndexedArray<bool, nDim> move_on_dim_;
move_tensor_coordinate(
dst_desc, dst_coord_, make_tensor_coordinate_step(dst_desc, forward_step)); static_for<0, nDim, 1>{}([&](auto i) {
move_on_dim_(i) = ordered_dst_access_idx[i] < ordered_dst_access_lengths[i] - 1;
static_for<i + 1, nDim, 1>{}([&](auto j) {
move_on_dim_(i) &=
ordered_dst_access_idx[j] == ordered_dst_access_lengths[j] - 1;
});
});
return move_on_dim_;
} }
();
// move dst coord
static_for<0, nDim, 1>{}([&](auto i) {
if constexpr(move_on_dim[i])
{
if constexpr(forward_sweep[i])
{
move_tensor_coordinate(
dst_desc, dst_coord_, dst_forward_steps[dst_dim_access_order[i]]);
}
else
{
move_tensor_coordinate(
dst_desc, dst_coord_, dst_backward_steps[dst_dim_access_order[i]]);
}
}
});
}); });
// move dst coordinate back to slice origin (or not) // move dst coordinate back to slice origin (or not)
...@@ -356,15 +522,55 @@ struct ThreadwiseTensorSliceTransfer_v3r1 ...@@ -356,15 +522,55 @@ struct ThreadwiseTensorSliceTransfer_v3r1
constexpr auto src_scalar_per_access = generate_sequence( constexpr auto src_scalar_per_access = generate_sequence(
detail::lambda_scalar_per_access<SrcVectorDim, SrcScalarPerVector>{}, Number<nDim>{}); detail::lambda_scalar_per_access<SrcVectorDim, SrcScalarPerVector>{}, Number<nDim>{});
using SpaceFillingCurve = SpaceFillingCurve<SliceLengths, constexpr auto src_access_lengths = SliceLengths{} / src_scalar_per_access;
SrcDimAccessOrder,
remove_cv_t<decltype(src_scalar_per_access)>>; constexpr auto src_dim_access_order = SrcDimAccessOrder{};
constexpr auto ordered_src_access_lengths =
container_reorder_given_new2old(src_access_lengths, src_dim_access_order);
// judge move forward or move backward during the last iteration
constexpr auto forward_sweep = [&]() {
StaticallyIndexedArray<bool, nDim> forward_sweep_;
forward_sweep_(I0) = true;
static_for<1, nDim, 1>{}([&](auto i) {
index_t tmp = ordered_src_access_lengths[I0] - 1;
static_for<1, i, 1>{}([&](auto j) {
tmp = tmp * ordered_src_access_lengths[j] + ordered_src_access_lengths[j] - 1;
});
forward_sweep_(i) = tmp % 2 == 0;
});
return forward_sweep_;
}();
constexpr auto num_accesses = SpaceFillingCurve::GetNumOfAccess(); // calculate src data index after last iteration in RunRead(), if it has not being reset by
constexpr auto reset_step = // RunRead()
SpaceFillingCurve::GetStepBetween(Number<num_accesses - 1>{}, Number<0>{}); constexpr auto src_data_idx = [&]() {
Index ordered_idx;
return reset_step; static_for<0, nDim, 1>{}([&](auto i) {
ordered_idx(i) = forward_sweep[i] ? ordered_src_access_lengths[i] - 1 : 0;
});
return container_reorder_given_old2new(ordered_idx, src_dim_access_order) *
src_scalar_per_access;
}();
//
constexpr auto reset_src_data_step = [&]() {
Index reset_src_data_step_;
static_for<0, nDim, 1>{}([&](auto i) { reset_src_data_step_(i) = -src_data_idx[i]; });
return reset_src_data_step_;
}();
return reset_src_data_step;
} }
__device__ static constexpr auto GetDstCoordinateResetStep() __device__ static constexpr auto GetDstCoordinateResetStep()
...@@ -374,15 +580,55 @@ struct ThreadwiseTensorSliceTransfer_v3r1 ...@@ -374,15 +580,55 @@ struct ThreadwiseTensorSliceTransfer_v3r1
constexpr auto dst_scalar_per_access = generate_sequence( constexpr auto dst_scalar_per_access = generate_sequence(
detail::lambda_scalar_per_access<DstVectorDim, DstScalarPerVector>{}, Number<nDim>{}); detail::lambda_scalar_per_access<DstVectorDim, DstScalarPerVector>{}, Number<nDim>{});
using SpaceFillingCurve = SpaceFillingCurve<SliceLengths, constexpr auto dst_access_lengths = SliceLengths{} / dst_scalar_per_access;
DstDimAccessOrder,
remove_cv_t<decltype(dst_scalar_per_access)>>; constexpr auto dst_dim_access_order = DstDimAccessOrder{};
constexpr auto ordered_dst_access_lengths =
container_reorder_given_new2old(dst_access_lengths, dst_dim_access_order);
// judge move forward or move backward during the last iteration
constexpr auto forward_sweep = [&]() {
StaticallyIndexedArray<bool, nDim> forward_sweep_;
forward_sweep_(I0) = true;
static_for<1, nDim, 1>{}([&](auto i) {
index_t tmp = ordered_dst_access_lengths[I0] - 1;
static_for<1, i, 1>{}([&](auto j) {
tmp = tmp * ordered_dst_access_lengths[j] + ordered_dst_access_lengths[j] - 1;
});
forward_sweep_(i) = tmp % 2 == 0;
});
return forward_sweep_;
}();
// calculate dst data index after last iteration in RunWrite(), if it has not being reset by
// RunWrite()
constexpr auto dst_data_idx = [&]() {
Index ordered_idx;
static_for<0, nDim, 1>{}([&](auto i) {
ordered_idx(i) = forward_sweep[i] ? ordered_dst_access_lengths[i] - 1 : 0;
});
return container_reorder_given_old2new(ordered_idx, dst_dim_access_order) *
dst_scalar_per_access;
}();
//
constexpr auto reset_dst_data_step = [&]() {
Index reset_dst_data_step_;
static_for<0, nDim, 1>{}([&](auto i) { reset_dst_data_step_(i) = -dst_data_idx[i]; });
constexpr auto num_accesses = SpaceFillingCurve::GetNumOfAccess(); return reset_dst_data_step_;
constexpr auto reset_step = }();
SpaceFillingCurve::GetStepBetween(Number<num_accesses - 1>{}, Number<0>{});
return reset_step; return reset_dst_data_step;
} }
// src_slice_origin_step_idx need to be known at compile-time, for performance reason // src_slice_origin_step_idx need to be known at compile-time, for performance reason
......
composable_kernel/include/tensor_operation/threadwise_tensor_slice_transfer_v6r1.hpp
View file @ 12dfba3d
...@@ -4,7 +4,6 @@ ...@@ -4,7 +4,6 @@
#include "common_header.hpp" #include "common_header.hpp"
#include "tensor_descriptor.hpp" #include "tensor_descriptor.hpp"
#include "tensor_descriptor_helper.hpp" #include "tensor_descriptor_helper.hpp"
#include "tensor_space_filling_curve.hpp"
namespace ck { namespace ck {
...@@ -41,6 +40,9 @@ struct ThreadwiseTensorSliceTransfer_v6r1 ...@@ -41,6 +40,9 @@ struct ThreadwiseTensorSliceTransfer_v6r1
using SrcCoord = decltype(make_tensor_coordinate(SrcDesc{}, Index{})); using SrcCoord = decltype(make_tensor_coordinate(SrcDesc{}, Index{}));
using DstCoord = decltype(make_tensor_coordinate(DstDesc{}, Index{})); using DstCoord = decltype(make_tensor_coordinate(DstDesc{}, Index{}));
using SrcCoordStep = decltype(make_tensor_coordinate_step(SrcDesc{}, Index{}));
using DstCoordStep = decltype(make_tensor_coordinate_step(DstDesc{}, Index{}));
static constexpr auto I0 = Number<0>{}; static constexpr auto I0 = Number<0>{};
__device__ constexpr ThreadwiseTensorSliceTransfer_v6r1(const SrcDesc& src_desc, __device__ constexpr ThreadwiseTensorSliceTransfer_v6r1(const SrcDesc& src_desc,
...@@ -77,14 +79,70 @@ struct ThreadwiseTensorSliceTransfer_v6r1 ...@@ -77,14 +79,70 @@ struct ThreadwiseTensorSliceTransfer_v6r1
constexpr auto scalar_per_access = generate_sequence( constexpr auto scalar_per_access = generate_sequence(
detail::lambda_scalar_per_access<VectorDim, ScalarPerVector>{}, Number<nDim>{}); detail::lambda_scalar_per_access<VectorDim, ScalarPerVector>{}, Number<nDim>{});
using SpaceFillingCurve = SpaceFillingCurve<SliceLengths, constexpr auto access_lengths = SliceLengths{} / scalar_per_access;
DimAccessOrder,
remove_cv_t<decltype(scalar_per_access)>>; constexpr auto dim_access_order = DimAccessOrder{};
constexpr auto ordered_access_lengths =
container_reorder_given_new2old(access_lengths, dim_access_order);
auto make_forward_steps = [&](auto desc) {
return generate_tuple(
[&](auto i) {
Index forward_step_idx;
static_for<0, nDim, 1>{}([&](auto j) {
forward_step_idx(j) = (i.value == j.value) ? scalar_per_access[i] : 0;
});
return make_tensor_coordinate_step(desc, forward_step_idx);
},
Number<nDim>{});
};
auto make_backward_steps = [&](auto desc) {
return generate_tuple(
[&](auto i) {
Index backward_step_idx;
static_for<0, nDim, 1>{}([&](auto j) {
backward_step_idx(j) = (i.value == j.value) ? -scalar_per_access[i] : 0;
});
return make_tensor_coordinate_step(desc, backward_step_idx);
},
Number<nDim>{});
};
// make forward steps
const auto src_forward_steps = make_forward_steps(src_desc);
const auto dst_forward_steps = make_forward_steps(dst_desc);
// make backward steps
const auto src_backward_steps = make_backward_steps(src_desc);
const auto dst_backward_steps = make_backward_steps(dst_desc);
// loop over space-filling curve // loop over slice window
constexpr auto num_accesses = SpaceFillingCurve::GetNumOfAccess(); static_ford<decltype(ordered_access_lengths)>{}([&](auto ordered_access_idx) {
// judge move forward or move backward
constexpr auto forward_sweep = [&]() {
StaticallyIndexedArray<bool, nDim> forward_sweep_;
forward_sweep_(I0) = true;
static_for<1, nDim, 1>{}([&](auto i) {
index_t tmp = ordered_access_idx[I0];
static_for<1, i, 1>{}([&](auto j) {
tmp = tmp * ordered_access_lengths[j] + ordered_access_idx[j];
});
forward_sweep_(i) = tmp % 2 == 0;
});
return forward_sweep_;
}();
static_for<0, num_accesses, 1>{}([&](auto idx_1d) {
using src_vector_type = vector_type_maker_t<SrcData, ScalarPerVector>; using src_vector_type = vector_type_maker_t<SrcData, ScalarPerVector>;
using src_vector_t = typename src_vector_type::type; using src_vector_t = typename src_vector_type::type;
...@@ -110,20 +168,59 @@ struct ThreadwiseTensorSliceTransfer_v6r1 ...@@ -110,20 +168,59 @@ struct ThreadwiseTensorSliceTransfer_v6r1
coordinate_has_valid_offset_assuming_visible_index_is_valid(dst_desc, dst_coord_); coordinate_has_valid_offset_assuming_visible_index_is_valid(dst_desc, dst_coord_);
// copy data from dst_vector into dst_buf // copy data from dst_vector into dst_buf
dst_buf.template Update<DstInMemOp, dst_vector_t>( if constexpr(DstInMemOp == InMemoryDataOperationEnum_t::Set)
dst_coord_.GetOffset(), {
is_dst_valid, dst_buf.template Set<dst_vector_t>(
dst_vector_container.template AsType<dst_vector_t>()[I0]); dst_coord_.GetOffset(),
is_dst_valid,
dst_vector_container.template AsType<dst_vector_t>()[I0]);
}
else if constexpr(DstInMemOp == InMemoryDataOperationEnum_t::AtomicAdd)
{
dst_buf.template AtomicAdd<dst_vector_t>(
dst_coord_.GetOffset(),
is_dst_valid,
dst_vector_container.template AsType<dst_vector_t>()[I0]);
}
// move coordinate constexpr auto move_on_dim = [&]() constexpr
if constexpr(idx_1d.value != num_accesses - 1)
{ {
constexpr auto forward_step = SpaceFillingCurve::GetForwardStep(idx_1d); StaticallyIndexedArray<bool, nDim> move_on_dim_;
move_tensor_coordinate(
src_desc, src_coord_, make_tensor_coordinate_step(src_desc, forward_step)); static_for<0, nDim, 1>{}([&](auto i) {
move_tensor_coordinate( move_on_dim_(i) = ordered_access_idx[i] < ordered_access_lengths[i] - 1;
dst_desc, dst_coord_, make_tensor_coordinate_step(dst_desc, forward_step));
static_for<i + 1, nDim, 1>{}([&](auto j) {
move_on_dim_(i) &= ordered_access_idx[j] == ordered_access_lengths[j] - 1;
});
});
return move_on_dim_;
} }
();
// move coordinate
static_for<0, nDim, 1>{}([&](auto i) {
if constexpr(move_on_dim[i])
{
if constexpr(forward_sweep[i])
{
move_tensor_coordinate(
src_desc, src_coord_, src_forward_steps[dim_access_order[i]]);
move_tensor_coordinate(
dst_desc, dst_coord_, dst_forward_steps[dim_access_order[i]]);
}
else
{
move_tensor_coordinate(
src_desc, src_coord_, src_backward_steps[dim_access_order[i]]);
move_tensor_coordinate(
dst_desc, dst_coord_, dst_backward_steps[dim_access_order[i]]);
}
}
});
}); });
// move coordinate back to slice origin (or not) // move coordinate back to slice origin (or not)
...@@ -146,18 +243,59 @@ struct ThreadwiseTensorSliceTransfer_v6r1 ...@@ -146,18 +243,59 @@ struct ThreadwiseTensorSliceTransfer_v6r1
__device__ static constexpr auto GetCoordinateResetStep() __device__ static constexpr auto GetCoordinateResetStep()
{ {
// scalar per access on each dim
// TODO: don't use lambda_scalar_per_access
constexpr auto scalar_per_access = generate_sequence( constexpr auto scalar_per_access = generate_sequence(
detail::lambda_scalar_per_access<VectorDim, ScalarPerVector>{}, Number<nDim>{}); detail::lambda_scalar_per_access<VectorDim, ScalarPerVector>{}, Number<nDim>{});
using SpaceFillingCurve = SpaceFillingCurve<SliceLengths, constexpr auto access_lengths = SliceLengths{} / scalar_per_access;
DimAccessOrder,
remove_cv_t<decltype(scalar_per_access)>>; constexpr auto dim_access_order = DimAccessOrder{};
constexpr auto ordered_access_lengths =
container_reorder_given_new2old(access_lengths, dim_access_order);
// judge move forward or move backward during the last iteration
constexpr auto forward_sweep = [&]() {
StaticallyIndexedArray<bool, nDim> forward_sweep_;
forward_sweep_(I0) = true;
static_for<1, nDim, 1>{}([&](auto i) {
index_t tmp = ordered_access_lengths[I0] - 1;
static_for<1, i, 1>{}([&](auto j) {
tmp = tmp * ordered_access_lengths[j] + ordered_access_lengths[j] - 1;
});
forward_sweep_(i) = tmp % 2 == 0;
});
return forward_sweep_;
}();
// calculate data index after last iteration in Run(), if it has not being reset
constexpr auto data_idx = [&]() {
Index ordered_idx;
static_for<0, nDim, 1>{}([&](auto i) {
ordered_idx(i) = forward_sweep[i] ? ordered_access_lengths[i] - 1 : 0;
});
return container_reorder_given_old2new(ordered_idx, dim_access_order) *
scalar_per_access;
}();
//
constexpr auto reset_data_step = [&]() {
Index reset_data_step_;
static_for<0, nDim, 1>{}([&](auto i) { reset_data_step_(i) = -data_idx[i]; });
constexpr auto num_accesses = SpaceFillingCurve::GetNumOfAccess(); return reset_data_step_;
constexpr auto reset_step = }();
SpaceFillingCurve::GetStepBetween(Number<num_accesses - 1>{}, Number<0>{});
return reset_step; return reset_data_step;
} }
// src_slice_origin_step_idx need to be known at compile-time, for performance reason // src_slice_origin_step_idx need to be known at compile-time, for performance reason
...@@ -194,7 +332,7 @@ struct ThreadwiseTensorSliceTransfer_v6r1 ...@@ -194,7 +332,7 @@ struct ThreadwiseTensorSliceTransfer_v6r1
SrcCoord src_coord_; SrcCoord src_coord_;
DstCoord dst_coord_; DstCoord dst_coord_;
const ElementwiseOperation element_op_; const ElementwiseOperation element_op_;
}; // namespace ck };
} // namespace ck } // namespace ck
#endif #endif
composable_kernel/include/tensor_operation/threadwise_tensor_slice_transfer_v6r2.hpp
View file @ 12dfba3d
...@@ -4,7 +4,6 @@ ...@@ -4,7 +4,6 @@
#include "common_header.hpp" #include "common_header.hpp"
#include "tensor_descriptor.hpp" #include "tensor_descriptor.hpp"
#include "tensor_descriptor_helper.hpp" #include "tensor_descriptor_helper.hpp"
#include "tensor_space_filling_curve.hpp"
namespace ck { namespace ck {
...@@ -45,6 +44,10 @@ struct ThreadwiseTensorSliceTransfer_v6r2 ...@@ -45,6 +44,10 @@ struct ThreadwiseTensorSliceTransfer_v6r2
using Src1Coord = decltype(make_tensor_coordinate(Src1Desc{}, Index{})); using Src1Coord = decltype(make_tensor_coordinate(Src1Desc{}, Index{}));
using DstCoord = decltype(make_tensor_coordinate(DstDesc{}, Index{})); using DstCoord = decltype(make_tensor_coordinate(DstDesc{}, Index{}));
using Src0CoordStep = decltype(make_tensor_coordinate_step(Src0Desc{}, Index{}));
using Src1CoordStep = decltype(make_tensor_coordinate_step(Src1Desc{}, Index{}));
using DstCoordStep = decltype(make_tensor_coordinate_step(DstDesc{}, Index{}));
static constexpr auto I0 = Number<0>{}; static constexpr auto I0 = Number<0>{};
__device__ constexpr ThreadwiseTensorSliceTransfer_v6r2(const Src0Desc& src0_desc, __device__ constexpr ThreadwiseTensorSliceTransfer_v6r2(const Src0Desc& src0_desc,
...@@ -93,14 +96,72 @@ struct ThreadwiseTensorSliceTransfer_v6r2 ...@@ -93,14 +96,72 @@ struct ThreadwiseTensorSliceTransfer_v6r2
constexpr auto scalar_per_access = generate_sequence( constexpr auto scalar_per_access = generate_sequence(
detail::lambda_scalar_per_access<VectorDim, ScalarPerVector>{}, Number<nDim>{}); detail::lambda_scalar_per_access<VectorDim, ScalarPerVector>{}, Number<nDim>{});
using SpaceFillingCurve = SpaceFillingCurve<SliceLengths, constexpr auto access_lengths = SliceLengths{} / scalar_per_access;
DimAccessOrder,
remove_cv_t<decltype(scalar_per_access)>>; constexpr auto dim_access_order = DimAccessOrder{};
constexpr auto ordered_access_lengths =
container_reorder_given_new2old(access_lengths, dim_access_order);
auto make_forward_steps = [&](auto desc) {
return generate_tuple(
[&](auto i) {
Index forward_step_idx;
static_for<0, nDim, 1>{}([&](auto j) {
forward_step_idx(j) = (i.value == j.value) ? scalar_per_access[i] : 0;
});
return make_tensor_coordinate_step(desc, forward_step_idx);
},
Number<nDim>{});
};
auto make_backward_steps = [&](auto desc) {
return generate_tuple(
[&](auto i) {
Index backward_step_idx;
static_for<0, nDim, 1>{}([&](auto j) {
backward_step_idx(j) = (i.value == j.value) ? -scalar_per_access[i] : 0;
});
return make_tensor_coordinate_step(desc, backward_step_idx);
},
Number<nDim>{});
};
// make forward steps
const auto src0_forward_steps = make_forward_steps(src0_desc);
const auto src1_forward_steps = make_forward_steps(src1_desc);
const auto dst_forward_steps = make_forward_steps(dst_desc);
// make backward steps
const auto src0_backward_steps = make_backward_steps(src0_desc);
const auto src1_backward_steps = make_backward_steps(src1_desc);
const auto dst_backward_steps = make_backward_steps(dst_desc);
constexpr auto num_accesses = SpaceFillingCurve::GetNumOfAccess(); // loop over slice window
static_ford<decltype(ordered_access_lengths)>{}([&](auto ordered_access_idx) {
// judge move forward or move backward
constexpr auto forward_sweep = [&]() {
StaticallyIndexedArray<bool, nDim> forward_sweep_;
forward_sweep_(I0) = true;
static_for<1, nDim, 1>{}([&](auto i) {
index_t tmp = ordered_access_idx[I0];
static_for<1, i, 1>{}([&](auto j) {
tmp = tmp * ordered_access_lengths[j] + ordered_access_idx[j];
});
forward_sweep_(i) = tmp % 2 == 0;
});
return forward_sweep_;
}();
// loop over space-filling curve
static_for<0, num_accesses, 1>{}([&](auto idx_1d) {
using src0_vector_type = vector_type_maker_t<Src0Data, ScalarPerVector>; using src0_vector_type = vector_type_maker_t<Src0Data, ScalarPerVector>;
using src0_vector_t = typename src0_vector_type::type; using src0_vector_t = typename src0_vector_type::type;
...@@ -136,22 +197,65 @@ struct ThreadwiseTensorSliceTransfer_v6r2 ...@@ -136,22 +197,65 @@ struct ThreadwiseTensorSliceTransfer_v6r2
coordinate_has_valid_offset_assuming_visible_index_is_valid(dst_desc, dst_coord_); coordinate_has_valid_offset_assuming_visible_index_is_valid(dst_desc, dst_coord_);
// copy data from dst_vector into dst_buf // copy data from dst_vector into dst_buf
dst_buf.template Update<DstInMemOp, dst_vector_t>( if constexpr(DstInMemOp == InMemoryDataOperationEnum_t::Set)
dst_coord_.GetOffset(), {
is_dst_valid, dst_buf.template Set<dst_vector_t>(
dst_vector_container.template AsType<dst_vector_t>()[I0]); dst_coord_.GetOffset(),
is_dst_valid,
dst_vector_container.template AsType<dst_vector_t>()[I0]);
}
else if constexpr(DstInMemOp == InMemoryDataOperationEnum_t::AtomicAdd)
{
dst_buf.template AtomicAdd<dst_vector_t>(
dst_coord_.GetOffset(),
is_dst_valid,
dst_vector_container.template AsType<dst_vector_t>()[I0]);
}
// move coordinate constexpr auto move_on_dim = [&]() constexpr
if constexpr(idx_1d.value != num_accesses - 1)
{ {
constexpr auto forward_step = SpaceFillingCurve::GetForwardStep(idx_1d); StaticallyIndexedArray<bool, nDim> move_on_dim_;
move_tensor_coordinate(
src0_desc, src0_coord_, make_tensor_coordinate_step(src0_desc, forward_step)); static_for<0, nDim, 1>{}([&](auto i) {
move_tensor_coordinate( move_on_dim_(i) = ordered_access_idx[i] < ordered_access_lengths[i] - 1;
src1_desc, src1_coord_, make_tensor_coordinate_step(src1_desc, forward_step));
move_tensor_coordinate( static_for<i + 1, nDim, 1>{}([&](auto j) {
dst_desc, dst_coord_, make_tensor_coordinate_step(dst_desc, forward_step)); move_on_dim_(i) &= ordered_access_idx[j] == ordered_access_lengths[j] - 1;
});
});
return move_on_dim_;
} }
();
// move coordinate
static_for<0, nDim, 1>{}([&](auto i) {
if constexpr(move_on_dim[i])
{
if constexpr(forward_sweep[i])
{
move_tensor_coordinate(
src0_desc, src0_coord_, src0_forward_steps[dim_access_order[i]]);
move_tensor_coordinate(
src1_desc, src1_coord_, src1_forward_steps[dim_access_order[i]]);
move_tensor_coordinate(
dst_desc, dst_coord_, dst_forward_steps[dim_access_order[i]]);
}
else
{
move_tensor_coordinate(
src0_desc, src0_coord_, src0_backward_steps[dim_access_order[i]]);
move_tensor_coordinate(
src1_desc, src1_coord_, src1_backward_steps[dim_access_order[i]]);
move_tensor_coordinate(
dst_desc, dst_coord_, dst_backward_steps[dim_access_order[i]]);
}
}
});
}); });
// move coordinate back to slice origin (or not) // move coordinate back to slice origin (or not)
...@@ -182,18 +286,59 @@ struct ThreadwiseTensorSliceTransfer_v6r2 ...@@ -182,18 +286,59 @@ struct ThreadwiseTensorSliceTransfer_v6r2
__device__ static constexpr auto GetCoordinateResetStep() __device__ static constexpr auto GetCoordinateResetStep()
{ {
// scalar per access on each dim
// TODO: don't use lambda_scalar_per_access
constexpr auto scalar_per_access = generate_sequence( constexpr auto scalar_per_access = generate_sequence(
detail::lambda_scalar_per_access<VectorDim, ScalarPerVector>{}, Number<nDim>{}); detail::lambda_scalar_per_access<VectorDim, ScalarPerVector>{}, Number<nDim>{});
using SpaceFillingCurve = SpaceFillingCurve<SliceLengths, constexpr auto access_lengths = SliceLengths{} / scalar_per_access;
DimAccessOrder,
remove_cv_t<decltype(scalar_per_access)>>; constexpr auto dim_access_order = DimAccessOrder{};
constexpr auto ordered_access_lengths =
container_reorder_given_new2old(access_lengths, dim_access_order);
// judge move forward or move backward during the last iteration
constexpr auto forward_sweep = [&]() {
StaticallyIndexedArray<bool, nDim> forward_sweep_;
forward_sweep_(I0) = true;
static_for<1, nDim, 1>{}([&](auto i) {
index_t tmp = ordered_access_lengths[I0] - 1;
static_for<1, i, 1>{}([&](auto j) {
tmp = tmp * ordered_access_lengths[j] + ordered_access_lengths[j] - 1;
});
forward_sweep_(i) = tmp % 2 == 0;
});
return forward_sweep_;
}();
// calculate data index after last iteration in Run(), if it has not being reset
constexpr auto data_idx = [&]() {
Index ordered_idx;
static_for<0, nDim, 1>{}([&](auto i) {
ordered_idx(i) = forward_sweep[i] ? ordered_access_lengths[i] - 1 : 0;
});
return container_reorder_given_old2new(ordered_idx, dim_access_order) *
scalar_per_access;
}();
//
constexpr auto reset_data_step = [&]() {
Index reset_data_step_;
static_for<0, nDim, 1>{}([&](auto i) { reset_data_step_(i) = -data_idx[i]; });
constexpr auto num_accesses = SpaceFillingCurve::GetNumOfAccess(); return reset_data_step_;
constexpr auto reset_step = }();
SpaceFillingCurve::GetStepBetween(Number<num_accesses - 1>{}, Number<0>{});
return reset_step; return reset_data_step;
} }
// src_slice_origin_step_idx need to be known at compile-time, for performance reason // src_slice_origin_step_idx need to be known at compile-time, for performance reason
......
composable_kernel/include/tensor_operation/threadwise_tensor_slice_transfer_v6r3.hpp
View file @ 12dfba3d
...@@ -4,7 +4,6 @@ ...@@ -4,7 +4,6 @@
#include "common_header.hpp" #include "common_header.hpp"
#include "tensor_descriptor.hpp" #include "tensor_descriptor.hpp"
#include "tensor_descriptor_helper.hpp" #include "tensor_descriptor_helper.hpp"
#include "tensor_space_filling_curve.hpp"
namespace ck { namespace ck {
...@@ -49,6 +48,11 @@ struct ThreadwiseTensorSliceTransfer_v6r3 ...@@ -49,6 +48,11 @@ struct ThreadwiseTensorSliceTransfer_v6r3
using Src2Coord = decltype(make_tensor_coordinate(Src2Desc{}, Index{})); using Src2Coord = decltype(make_tensor_coordinate(Src2Desc{}, Index{}));
using DstCoord = decltype(make_tensor_coordinate(DstDesc{}, Index{})); using DstCoord = decltype(make_tensor_coordinate(DstDesc{}, Index{}));
using Src0CoordStep = decltype(make_tensor_coordinate_step(Src0Desc{}, Index{}));
using Src1CoordStep = decltype(make_tensor_coordinate_step(Src1Desc{}, Index{}));
using Src2CoordStep = decltype(make_tensor_coordinate_step(Src2Desc{}, Index{}));
using DstCoordStep = decltype(make_tensor_coordinate_step(DstDesc{}, Index{}));
static constexpr auto I0 = Number<0>{}; static constexpr auto I0 = Number<0>{};
__device__ constexpr ThreadwiseTensorSliceTransfer_v6r3(const Src0Desc& src0_desc, __device__ constexpr ThreadwiseTensorSliceTransfer_v6r3(const Src0Desc& src0_desc,
...@@ -108,14 +112,74 @@ struct ThreadwiseTensorSliceTransfer_v6r3 ...@@ -108,14 +112,74 @@ struct ThreadwiseTensorSliceTransfer_v6r3
constexpr auto scalar_per_access = generate_sequence( constexpr auto scalar_per_access = generate_sequence(
detail::lambda_scalar_per_access<VectorDim, ScalarPerVector>{}, Number<nDim>{}); detail::lambda_scalar_per_access<VectorDim, ScalarPerVector>{}, Number<nDim>{});
using SpaceFillingCurve = SpaceFillingCurve<SliceLengths, constexpr auto access_lengths = SliceLengths{} / scalar_per_access;
DimAccessOrder,
remove_cv_t<decltype(scalar_per_access)>>; constexpr auto dim_access_order = DimAccessOrder{};
constexpr auto ordered_access_lengths =
container_reorder_given_new2old(access_lengths, dim_access_order);
auto make_forward_steps = [&](auto desc) {
return generate_tuple(
[&](auto i) {
Index forward_step_idx;
static_for<0, nDim, 1>{}([&](auto j) {
forward_step_idx(j) = (i.value == j.value) ? scalar_per_access[i] : 0;
});
return make_tensor_coordinate_step(desc, forward_step_idx);
},
Number<nDim>{});
};
auto make_backward_steps = [&](auto desc) {
return generate_tuple(
[&](auto i) {
Index backward_step_idx;
static_for<0, nDim, 1>{}([&](auto j) {
backward_step_idx(j) = (i.value == j.value) ? -scalar_per_access[i] : 0;
});
return make_tensor_coordinate_step(desc, backward_step_idx);
},
Number<nDim>{});
};
// make forward steps
const auto src0_forward_steps = make_forward_steps(src0_desc);
const auto src1_forward_steps = make_forward_steps(src1_desc);
const auto src2_forward_steps = make_forward_steps(src2_desc);
const auto dst_forward_steps = make_forward_steps(dst_desc);
// make backward steps
const auto src0_backward_steps = make_backward_steps(src0_desc);
const auto src1_backward_steps = make_backward_steps(src1_desc);
const auto src2_backward_steps = make_backward_steps(src2_desc);
const auto dst_backward_steps = make_backward_steps(dst_desc);
constexpr auto num_accesses = SpaceFillingCurve::GetNumOfAccess(); // loop over slice window
static_ford<decltype(ordered_access_lengths)>{}([&](auto ordered_access_idx) {
// judge move forward or move backward
constexpr auto forward_sweep = [&]() {
StaticallyIndexedArray<bool, nDim> forward_sweep_;
forward_sweep_(I0) = true;
static_for<1, nDim, 1>{}([&](auto i) {
index_t tmp = ordered_access_idx[I0];
static_for<1, i, 1>{}([&](auto j) {
tmp = tmp * ordered_access_lengths[j] + ordered_access_idx[j];
});
forward_sweep_(i) = tmp % 2 == 0;
});
return forward_sweep_;
}();
// loop over space-filling curve
static_for<0, num_accesses, 1>{}([&](auto idx_1d) {
using src0_vector_type = vector_type_maker_t<Src0Data, ScalarPerVector>; using src0_vector_type = vector_type_maker_t<Src0Data, ScalarPerVector>;
using src0_vector_t = typename src0_vector_type::type; using src0_vector_t = typename src0_vector_type::type;
...@@ -160,24 +224,72 @@ struct ThreadwiseTensorSliceTransfer_v6r3 ...@@ -160,24 +224,72 @@ struct ThreadwiseTensorSliceTransfer_v6r3
const bool is_dst_valid = const bool is_dst_valid =
coordinate_has_valid_offset_assuming_visible_index_is_valid(dst_desc, dst_coord_); coordinate_has_valid_offset_assuming_visible_index_is_valid(dst_desc, dst_coord_);
dst_buf.template Update<DstInMemOp, dst_vector_t>( // copy data from dst_vector into dst_buf
dst_coord_.GetOffset(), if constexpr(DstInMemOp == InMemoryDataOperationEnum_t::Set)
is_dst_valid, {
dst_vector_container.template AsType<dst_vector_t>()[I0]); dst_buf.template Set<dst_vector_t>(
dst_coord_.GetOffset(),
is_dst_valid,
dst_vector_container.template AsType<dst_vector_t>()[I0]);
}
else if constexpr(DstInMemOp == InMemoryDataOperationEnum_t::AtomicAdd)
{
dst_buf.template AtomicAdd<dst_vector_t>(
dst_coord_.GetOffset(),
is_dst_valid,
dst_vector_container.template AsType<dst_vector_t>()[I0]);
}
// move coordinate constexpr auto move_on_dim = [&]() constexpr
if constexpr(idx_1d.value != num_accesses - 1)
{ {
constexpr auto forward_step = SpaceFillingCurve::GetForwardStep(idx_1d); StaticallyIndexedArray<bool, nDim> move_on_dim_;
move_tensor_coordinate(
src0_desc, src0_coord_, make_tensor_coordinate_step(src0_desc, forward_step)); static_for<0, nDim, 1>{}([&](auto i) {
move_tensor_coordinate( move_on_dim_(i) = ordered_access_idx[i] < ordered_access_lengths[i] - 1;
src1_desc, src1_coord_, make_tensor_coordinate_step(src1_desc, forward_step));
move_tensor_coordinate( static_for<i + 1, nDim, 1>{}([&](auto j) {
src2_desc, src2_coord_, make_tensor_coordinate_step(src2_desc, forward_step)); move_on_dim_(i) &= ordered_access_idx[j] == ordered_access_lengths[j] - 1;
move_tensor_coordinate( });
dst_desc, dst_coord_, make_tensor_coordinate_step(dst_desc, forward_step)); });
return move_on_dim_;
} }
();
// move coordinate
static_for<0, nDim, 1>{}([&](auto i) {
if constexpr(move_on_dim[i])
{
if constexpr(forward_sweep[i])
{
move_tensor_coordinate(
src0_desc, src0_coord_, src0_forward_steps[dim_access_order[i]]);
move_tensor_coordinate(
src1_desc, src1_coord_, src1_forward_steps[dim_access_order[i]]);
move_tensor_coordinate(
src2_desc, src2_coord_, src2_forward_steps[dim_access_order[i]]);
move_tensor_coordinate(
dst_desc, dst_coord_, dst_forward_steps[dim_access_order[i]]);
}
else
{
move_tensor_coordinate(
src0_desc, src0_coord_, src0_backward_steps[dim_access_order[i]]);
move_tensor_coordinate(
src1_desc, src1_coord_, src1_backward_steps[dim_access_order[i]]);
move_tensor_coordinate(
src2_desc, src2_coord_, src2_backward_steps[dim_access_order[i]]);
move_tensor_coordinate(
dst_desc, dst_coord_, dst_backward_steps[dim_access_order[i]]);
}
}
});
}); });
// move coordinate back to slice origin (or not) // move coordinate back to slice origin (or not)
...@@ -216,18 +328,59 @@ struct ThreadwiseTensorSliceTransfer_v6r3 ...@@ -216,18 +328,59 @@ struct ThreadwiseTensorSliceTransfer_v6r3
__device__ static constexpr auto GetCoordinateResetStep() __device__ static constexpr auto GetCoordinateResetStep()
{ {
// scalar per access on each dim
// TODO: don't use lambda_scalar_per_access
constexpr auto scalar_per_access = generate_sequence( constexpr auto scalar_per_access = generate_sequence(
detail::lambda_scalar_per_access<VectorDim, ScalarPerVector>{}, Number<nDim>{}); detail::lambda_scalar_per_access<VectorDim, ScalarPerVector>{}, Number<nDim>{});
using SpaceFillingCurve = SpaceFillingCurve<SliceLengths, constexpr auto access_lengths = SliceLengths{} / scalar_per_access;
DimAccessOrder,
remove_cv_t<decltype(scalar_per_access)>>; constexpr auto dim_access_order = DimAccessOrder{};
constexpr auto ordered_access_lengths =
container_reorder_given_new2old(access_lengths, dim_access_order);
// judge move forward or move backward during the last iteration
constexpr auto forward_sweep = [&]() {
StaticallyIndexedArray<bool, nDim> forward_sweep_;
forward_sweep_(I0) = true;
static_for<1, nDim, 1>{}([&](auto i) {
index_t tmp = ordered_access_lengths[I0] - 1;
static_for<1, i, 1>{}([&](auto j) {
tmp = tmp * ordered_access_lengths[j] + ordered_access_lengths[j] - 1;
});
forward_sweep_(i) = tmp % 2 == 0;
});
return forward_sweep_;
}();
// calculate data index after last iteration in Run(), if it has not being reset
constexpr auto data_idx = [&]() {
Index ordered_idx;
static_for<0, nDim, 1>{}([&](auto i) {
ordered_idx(i) = forward_sweep[i] ? ordered_access_lengths[i] - 1 : 0;
});
return container_reorder_given_old2new(ordered_idx, dim_access_order) *
scalar_per_access;
}();
//
constexpr auto reset_data_step = [&]() {
Index reset_data_step_;
static_for<0, nDim, 1>{}([&](auto i) { reset_data_step_(i) = -data_idx[i]; });
constexpr auto num_accesses = SpaceFillingCurve::GetNumOfAccess(); return reset_data_step_;
constexpr auto reset_step = }();
SpaceFillingCurve::GetStepBetween(Number<num_accesses - 1>{}, Number<0>{});
return reset_step; return reset_data_step;
} }
// src_slice_origin_step_idx need to be known at compile-time, for performance reason // src_slice_origin_step_idx need to be known at compile-time, for performance reason
......
Markdown is supported
0% or .
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment