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Unverified Commit 9e33fe70 authored by Jianfeng Yan's avatar Jianfeng Yan Committed by GitHub
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Use Space Filling Curve in Threadwise Copy (#118) 



* fixed a corner case in GetCoordinateResetStep

* clean

* rename num_accesses to num_access
Co-authored-by: default avatarChao Liu <chao.liu2@amd.com>
parent 827301d9
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Showing with 174 additions and 908 deletions
include/ck/tensor_operation/gpu/thread/threadwise_tensor_slice_transfer.hpp
View file @ 9e33fe70
...@@ -4,6 +4,7 @@ ...@@ -4,6 +4,7 @@
#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 {
...@@ -85,16 +86,12 @@ struct ThreadwiseTensorSliceTransfer_v1r3 ...@@ -85,16 +86,12 @@ struct ThreadwiseTensorSliceTransfer_v1r3
dst_coord_ = make_tensor_coordinate(dst_desc, dst_slice_origin_idx); dst_coord_ = make_tensor_coordinate(dst_desc, dst_slice_origin_idx);
} }
template <typename SrcSliceOriginIdx, template <typename SrcSliceOriginIdx, typename SrcBuffer, typename DstBuffer>
typename SrcBuffer,
typename DstBuffer,
typename DstStepHacks>
__device__ void Run(const SrcDesc&, __device__ void Run(const SrcDesc&,
const SrcSliceOriginIdx&, const SrcSliceOriginIdx&,
const SrcBuffer& src_buf, const SrcBuffer& src_buf,
const DstDesc& dst_desc, const DstDesc& dst_desc,
DstBuffer& dst_buf, DstBuffer& dst_buf)
const DstStepHacks& dst_step_hacks)
{ {
static_assert(SrcDesc::IsKnownAtCompileTime(), static_assert(SrcDesc::IsKnownAtCompileTime(),
"wrong! SrcDesc need to known at compile-time"); "wrong! SrcDesc need to known at compile-time");
...@@ -108,9 +105,6 @@ struct ThreadwiseTensorSliceTransfer_v1r3 ...@@ -108,9 +105,6 @@ struct ThreadwiseTensorSliceTransfer_v1r3
constexpr auto src_desc = remove_cvref_t<SrcDesc>{}; constexpr auto src_desc = remove_cvref_t<SrcDesc>{};
constexpr auto src_slice_origin_idx = to_multi_index(SrcSliceOriginIdx{}); constexpr auto src_slice_origin_idx = to_multi_index(SrcSliceOriginIdx{});
constexpr auto I0 = Number<0>{};
constexpr auto I1 = Number<1>{};
// scalar per access on each dim // scalar per access on each dim
// TODO: don't use lambda_scalar_per_access // TODO: don't use lambda_scalar_per_access
constexpr auto dst_scalar_per_access = generate_sequence( constexpr auto dst_scalar_per_access = generate_sequence(
...@@ -119,85 +113,26 @@ struct ThreadwiseTensorSliceTransfer_v1r3 ...@@ -119,85 +113,26 @@ struct ThreadwiseTensorSliceTransfer_v1r3
constexpr auto dst_scalar_step_in_vector = constexpr auto dst_scalar_step_in_vector =
generate_sequence(detail::lambda_scalar_step_in_vector<DstVectorDim>{}, Number<nDim>{}); generate_sequence(detail::lambda_scalar_step_in_vector<DstVectorDim>{}, Number<nDim>{});
constexpr auto access_lengths = SliceLengths{} / dst_scalar_per_access; using SpaceFillingCurve = SpaceFillingCurve<SliceLengths,
DimAccessOrder,
constexpr auto dim_access_order = DimAccessOrder{}; remove_cv_t<decltype(dst_scalar_per_access)>>;
constexpr auto ordered_access_lengths =
container_reorder_given_new2old(access_lengths, 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, dst_step_hacks[I0][i]);
},
Number<nDim>{});
// make backward steps
const auto dst_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) ? -dst_scalar_per_access[i] : 0;
});
return make_tensor_coordinate_step(
dst_desc, backward_step_idx, dst_step_hacks[I1][i]);
},
Number<nDim>{});
// loop over tensor and copy
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_;
}();
// 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_access_idx[i]
: ordered_access_lengths[i] - 1 - ordered_access_idx[i];
});
return container_reorder_given_old2new(ordered_idx, dim_access_order) *
dst_scalar_per_access;
}();
// TODO: Use SpaceFillingCurve::ScalarsPerAccess instread of DstScalarPerVector?
static_assert(DstScalarPerVector == SpaceFillingCurve::ScalarPerVector,
"wrong!DstScalarPerVector != SpaceFillingCurve::ScalarPerVector");
typename vector_type_maker<DstData, DstScalarPerVector>::type dst_vector; typename vector_type_maker<DstData, DstScalarPerVector>::type dst_vector;
using dst_vector_t = typename vector_type_maker<DstData, DstScalarPerVector>::type::type;
constexpr auto num_access = SpaceFillingCurve::GetNumOfAccess();
using dst_vector_t = static_for<0, num_access, 1>{}([&](auto idx_1d) {
typename vector_type_maker<DstData, DstScalarPerVector>::type::type; constexpr auto idx_md = SpaceFillingCurve::GetIndex(idx_1d);
// copy data from src_buf into dst_vector // copy data from src_buf into dst_vector
// TODO: It's a hack here to use \p dst_scalar_step_in_vector. Use SpaceFillingCurve?
static_for<0, DstScalarPerVector, 1>{}([&](auto i) { static_for<0, DstScalarPerVector, 1>{}([&](auto i) {
constexpr index_t src_offset = src_desc.CalculateOffset( constexpr index_t src_offset = src_desc.CalculateOffset(
src_slice_origin_idx + dst_data_idx + i * dst_scalar_step_in_vector); src_slice_origin_idx + idx_md + i * dst_scalar_step_in_vector);
SrcData dst_v; SrcData dst_v;
...@@ -212,69 +147,18 @@ struct ThreadwiseTensorSliceTransfer_v1r3 ...@@ -212,69 +147,18 @@ struct ThreadwiseTensorSliceTransfer_v1r3
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
if constexpr(DstInMemOp == InMemoryDataOperationEnum_t::Set) dst_buf.template Update<DstInMemOp, dst_vector_t>(
{
dst_buf.template Set<dst_vector_t>(
dst_coord_.GetOffset(),
is_dst_valid,
dst_vector.template AsType<dst_vector_t>()[Number<0>{}]);
}
else if constexpr(DstInMemOp == InMemoryDataOperationEnum_t::AtomicAdd)
{
dst_buf.template AtomicAdd<dst_vector_t>(
dst_coord_.GetOffset(),
is_dst_valid,
dst_vector.template AsType<dst_vector_t>()[Number<0>{}]);
}
else if constexpr(DstInMemOp == InMemoryDataOperationEnum_t::Add)
{
typename vector_type_maker<DstData, DstScalarPerVector>::type tmp;
tmp.template AsType<dst_vector_t>()(Number<0>{}) =
dst_buf.template Get<dst_vector_t>(dst_coord_.GetOffset(), is_dst_valid);
static_for<0, DstScalarPerVector, 1>{}([&](auto t) {
dst_vector.template AsType<DstData>()(t) += tmp.template AsType<DstData>()[t];
});
dst_buf.template Set<dst_vector_t>(
dst_coord_.GetOffset(), dst_coord_.GetOffset(),
is_dst_valid, is_dst_valid,
dst_vector.template AsType<dst_vector_t>()[Number<0>{}]); dst_vector.template AsType<dst_vector_t>()[Number<0>{}]);
}
constexpr auto move_on_dim = [&]() constexpr if constexpr(idx_1d.value != num_access - 1)
{ {
StaticallyIndexedArray<bool, nDim> move_on_dim_; constexpr auto forward_step = SpaceFillingCurve::GetForwardStep(idx_1d);
static_for<0, nDim, 1>{}([&](auto i) {
move_on_dim_(i) = ordered_access_idx[i] < ordered_access_lengths[i] - 1;
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
static_for<0, nDim, 1>{}([&](auto i) {
if constexpr(move_on_dim[i])
{
if constexpr(forward_sweep[i])
{
move_tensor_coordinate( move_tensor_coordinate(
dst_desc, dst_coord_, dst_forward_steps[dim_access_order[i]]); dst_desc, dst_coord_, make_tensor_coordinate_step(dst_desc, forward_step));
} }
else
{
move_tensor_coordinate(
dst_desc, dst_coord_, dst_backward_steps[dim_access_order[i]]);
}
}
});
}); });
// move dst coordinate back to slice origin (or not) // move dst coordinate back to slice origin (or not)
...@@ -287,82 +171,27 @@ struct ThreadwiseTensorSliceTransfer_v1r3 ...@@ -287,82 +171,27 @@ struct ThreadwiseTensorSliceTransfer_v1r3
} }
} }
template <typename SrcSliceOriginIdx, typename SrcBuffer, typename DstBuffer>
__device__ void Run(const SrcDesc&,
const SrcSliceOriginIdx&,
const SrcBuffer& src_buf,
const DstDesc& dst_desc,
DstBuffer& dst_buf)
{
constexpr index_t ntransform_dst = remove_cvref_t<DstDesc>::GetNumOfTransform();
constexpr auto zeros = typename uniform_sequence_gen<ntransform_dst, 0>::type{};
constexpr auto dst_step_hacks =
make_tuple(generate_tuple([&](auto) { return zeros; }, Number<nDim>{}),
generate_tuple([&](auto) { return zeros; }, Number<nDim>{}));
Run(SrcDesc{}, SrcSliceOriginIdx{}, src_buf, dst_desc, dst_buf, dst_step_hacks);
}
__device__ static constexpr auto GetDstCoordinateResetStep() __device__ static constexpr auto GetDstCoordinateResetStep()
{ {
constexpr auto I0 = Number<0>{};
// scalar per access on each dim
// TODO: don't use lambda_scalar_per_access
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>{});
constexpr auto access_lengths = SliceLengths{} / dst_scalar_per_access; using SpaceFillingCurve = SpaceFillingCurve<SliceLengths,
DimAccessOrder,
constexpr auto dim_access_order = DimAccessOrder{}; remove_cv_t<decltype(dst_scalar_per_access)>>;
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 dst data index after last iteration in Run(), 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_access_lengths[i] - 1 : 0;
});
return container_reorder_given_old2new(ordered_idx, 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]; });
return reset_dst_data_step_; constexpr auto num_access = SpaceFillingCurve::GetNumOfAccess();
}(); if constexpr(num_access == 0)
{
return typename SpaceFillingCurve::Index{};
}
else
{
constexpr auto reset_step =
SpaceFillingCurve::GetStepBetween(Number<num_access - 1>{}, Number<0>{});
return reset_dst_data_step; return reset_step;
}
} }
// dst_slice_origin_step_idx need to be known at compile-time, for performance reason // dst_slice_origin_step_idx need to be known at compile-time, for performance reason
...@@ -383,7 +212,7 @@ struct ThreadwiseTensorSliceTransfer_v1r3 ...@@ -383,7 +212,7 @@ struct ThreadwiseTensorSliceTransfer_v1r3
private: private:
DstCoord dst_coord_; DstCoord dst_coord_;
const DstElementwiseOperation dst_element_op_; const DstElementwiseOperation dst_element_op_;
}; // namespace ck }; // namespace ThreadwiseTensorSliceTransfer_v1r3
// Assume: // Assume:
// 1. src: // 1. src:
...@@ -428,16 +257,12 @@ struct ThreadwiseTensorSliceTransfer_v2 ...@@ -428,16 +257,12 @@ struct ThreadwiseTensorSliceTransfer_v2
src_coord_ = make_tensor_coordinate(src_desc, src_slice_origin_idx); src_coord_ = make_tensor_coordinate(src_desc, src_slice_origin_idx);
} }
template <typename SrcBuffer, template <typename SrcBuffer, typename DstBuffer, typename DstSliceOriginIdx>
typename DstBuffer,
typename DstSliceOriginIdx,
typename SrcStepHacks>
__device__ void Run(const SrcDesc& src_desc, __device__ void Run(const SrcDesc& src_desc,
const SrcBuffer& src_buf, const SrcBuffer& src_buf,
const DstDesc&, const DstDesc&,
const DstSliceOriginIdx&, const DstSliceOriginIdx&,
DstBuffer& dst_buf, DstBuffer& dst_buf)
const SrcStepHacks& src_step_hacks)
{ {
static_assert(DstDesc::IsKnownAtCompileTime(), static_assert(DstDesc::IsKnownAtCompileTime(),
"wrong! DstDesc need to known at compile-time"); "wrong! DstDesc need to known at compile-time");
...@@ -453,9 +278,6 @@ struct ThreadwiseTensorSliceTransfer_v2 ...@@ -453,9 +278,6 @@ struct ThreadwiseTensorSliceTransfer_v2
constexpr auto dst_desc = remove_cvref_t<DstDesc>{}; constexpr auto dst_desc = remove_cvref_t<DstDesc>{};
constexpr auto dst_slice_origin_idx = DstSliceOriginIdx{}; constexpr auto dst_slice_origin_idx = DstSliceOriginIdx{};
constexpr auto I0 = Number<0>{};
constexpr auto I1 = Number<1>{};
// scalar per access on each dim // scalar per access on each dim
// TODO: don't use lambda_scalar_per_access // TODO: don't use lambda_scalar_per_access
constexpr auto src_scalar_per_access = generate_sequence( constexpr auto src_scalar_per_access = generate_sequence(
...@@ -464,80 +286,19 @@ struct ThreadwiseTensorSliceTransfer_v2 ...@@ -464,80 +286,19 @@ struct ThreadwiseTensorSliceTransfer_v2
constexpr auto src_scalar_step_in_vector = constexpr auto src_scalar_step_in_vector =
generate_sequence(detail::lambda_scalar_step_in_vector<SrcVectorDim>{}, Number<nDim>{}); generate_sequence(detail::lambda_scalar_step_in_vector<SrcVectorDim>{}, Number<nDim>{});
constexpr auto access_lengths = SliceLengths{} / src_scalar_per_access; using SpaceFillingCurve = SpaceFillingCurve<SliceLengths,
DimAccessOrder,
constexpr auto dim_access_order = DimAccessOrder{}; remove_cv_t<decltype(src_scalar_per_access)>>;
constexpr auto ordered_access_lengths =
container_reorder_given_new2old(access_lengths, 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;
});
return make_tensor_coordinate_step(
src_desc, forward_step_idx, src_step_hacks[I0][i]);
},
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, src_step_hacks[I1][i]);
},
Number<nDim>{});
// loop over tensor and copy // loop over tensor and copy
static_ford<decltype(ordered_access_lengths)>{}([&](auto ordered_access_idx) { constexpr auto num_access = SpaceFillingCurve::GetNumOfAccess();
// 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_;
}();
// 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_access_idx[i]
: ordered_access_lengths[i] - 1 - ordered_access_idx[i];
});
return container_reorder_given_old2new(ordered_idx, dim_access_order) *
src_scalar_per_access;
}();
static_for<0, num_access, 1>{}([&](auto idx_1d) {
typename vector_type_maker<SrcData, SrcScalarPerVector>::type src_vector; typename vector_type_maker<SrcData, SrcScalarPerVector>::type src_vector;
using src_vector_t = using src_vector_t =
typename vector_type_maker<SrcData, SrcScalarPerVector>::type::type; typename vector_type_maker<SrcData, SrcScalarPerVector>::type::type;
constexpr auto src_data_idx = SpaceFillingCurve::GetIndex(idx_1d);
const bool is_src_valid = const bool is_src_valid =
coordinate_has_valid_offset_assuming_visible_index_is_valid(src_desc, src_coord_); coordinate_has_valid_offset_assuming_visible_index_is_valid(src_desc, src_coord_);
...@@ -555,38 +316,13 @@ struct ThreadwiseTensorSliceTransfer_v2 ...@@ -555,38 +316,13 @@ struct ThreadwiseTensorSliceTransfer_v2
dst_buf(Number<dst_offset>{}) = src_vector.template AsType<SrcData>()[i]; dst_buf(Number<dst_offset>{}) = src_vector.template AsType<SrcData>()[i];
}); });
constexpr auto move_on_dim = [&]() constexpr if constexpr(idx_1d.value != num_access - 1)
{ {
StaticallyIndexedArray<bool, nDim> move_on_dim_; constexpr auto forward_step = SpaceFillingCurve::GetForwardStep(idx_1d);
static_for<0, nDim, 1>{}([&](auto i) {
move_on_dim_(i) = ordered_access_idx[i] < ordered_access_lengths[i] - 1;
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
static_for<0, nDim, 1>{}([&](auto i) {
if constexpr(move_on_dim[i])
{
if constexpr(forward_sweep[i])
{
move_tensor_coordinate( move_tensor_coordinate(
src_desc, src_coord_, src_forward_steps[dim_access_order[i]]); src_desc, src_coord_, make_tensor_coordinate_step(src_desc, forward_step));
} }
else
{
move_tensor_coordinate(
src_desc, src_coord_, src_backward_steps[dim_access_order[i]]);
}
}
});
}); });
// move src coordinate back to slice origin (or not) // move src coordinate back to slice origin (or not)
...@@ -599,82 +335,27 @@ struct ThreadwiseTensorSliceTransfer_v2 ...@@ -599,82 +335,27 @@ struct ThreadwiseTensorSliceTransfer_v2
} }
} }
template <typename SrcBuffer, typename DstBuffer, typename DstSliceOriginIdx>
__device__ void Run(const SrcDesc& src_desc,
const SrcBuffer& src_buf,
const DstDesc&,
const DstSliceOriginIdx&,
DstBuffer& dst_buf)
{
constexpr index_t ntransform_src = SrcDesc::GetNumOfTransform();
constexpr auto zeros = typename uniform_sequence_gen<ntransform_src, 0>::type{};
constexpr auto src_step_hacks =
make_tuple(generate_tuple([&](auto) { return zeros; }, Number<nDim>{}),
generate_tuple([&](auto) { return zeros; }, Number<nDim>{}));
Run(src_desc, src_buf, DstDesc{}, DstSliceOriginIdx{}, dst_buf, src_step_hacks);
}
__device__ static constexpr auto GetSrcCoordinateResetStep() __device__ static constexpr auto GetSrcCoordinateResetStep()
{ {
constexpr auto I0 = Number<0>{};
// scalar per access on each dim
// TODO: don't use lambda_scalar_per_access
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>{});
constexpr auto access_lengths = SliceLengths{} / src_scalar_per_access; using SpaceFillingCurve = SpaceFillingCurve<SliceLengths,
DimAccessOrder,
constexpr auto dim_access_order = DimAccessOrder{}; remove_cv_t<decltype(src_scalar_per_access)>>;
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 src data index after last iteration in Run(), if it has not being reset by
// RunWrite()
constexpr auto src_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) *
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]; }); constexpr auto num_access = SpaceFillingCurve::GetNumOfAccess();
if constexpr(num_access == 0)
return reset_src_data_step_; {
}(); return typename SpaceFillingCurve::Index{};
}
else
{
constexpr auto reset_step =
SpaceFillingCurve::GetStepBetween(Number<num_access - 1>{}, Number<0>{});
return reset_src_data_step; return reset_step;
}
} }
// dst_slice_origin_step_idx need to be known at compile-time, for performance reason // dst_slice_origin_step_idx need to be known at compile-time, for performance reason
......
include/ck/tensor_operation/gpu/thread/threadwise_tensor_slice_transfer_v6r1.hpp
View file @ 9e33fe70
...@@ -4,6 +4,7 @@ ...@@ -4,6 +4,7 @@
#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 {
...@@ -40,9 +41,6 @@ struct ThreadwiseTensorSliceTransfer_v6r1 ...@@ -40,9 +41,6 @@ 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,
...@@ -79,70 +77,14 @@ struct ThreadwiseTensorSliceTransfer_v6r1 ...@@ -79,70 +77,14 @@ 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>{});
constexpr auto access_lengths = SliceLengths{} / scalar_per_access; using SpaceFillingCurve = SpaceFillingCurve<SliceLengths,
DimAccessOrder,
constexpr auto dim_access_order = DimAccessOrder{}; remove_cv_t<decltype(scalar_per_access)>>;
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 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
}(); constexpr auto num_access = SpaceFillingCurve::GetNumOfAccess();
static_for<0, num_access, 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;
...@@ -168,59 +110,20 @@ struct ThreadwiseTensorSliceTransfer_v6r1 ...@@ -168,59 +110,20 @@ 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
if constexpr(DstInMemOp == InMemoryDataOperationEnum_t::Set) dst_buf.template Update<DstInMemOp, dst_vector_t>(
{
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(), dst_coord_.GetOffset(),
is_dst_valid, is_dst_valid,
dst_vector_container.template AsType<dst_vector_t>()[I0]); dst_vector_container.template AsType<dst_vector_t>()[I0]);
}
constexpr auto move_on_dim = [&]() constexpr
{
StaticallyIndexedArray<bool, nDim> move_on_dim_;
static_for<0, nDim, 1>{}([&](auto i) {
move_on_dim_(i) = ordered_access_idx[i] < ordered_access_lengths[i] - 1;
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 // move coordinate
static_for<0, nDim, 1>{}([&](auto i) { if constexpr(idx_1d.value != num_access - 1)
if constexpr(move_on_dim[i])
{
if constexpr(forward_sweep[i])
{ {
constexpr auto forward_step = SpaceFillingCurve::GetForwardStep(idx_1d);
move_tensor_coordinate( move_tensor_coordinate(
src_desc, src_coord_, src_forward_steps[dim_access_order[i]]); src_desc, src_coord_, make_tensor_coordinate_step(src_desc, forward_step));
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( move_tensor_coordinate(
dst_desc, dst_coord_, dst_backward_steps[dim_access_order[i]]); dst_desc, dst_coord_, make_tensor_coordinate_step(dst_desc, forward_step));
} }
}
});
}); });
// move coordinate back to slice origin (or not) // move coordinate back to slice origin (or not)
...@@ -243,59 +146,25 @@ struct ThreadwiseTensorSliceTransfer_v6r1 ...@@ -243,59 +146,25 @@ 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>{});
constexpr auto access_lengths = SliceLengths{} / scalar_per_access; using SpaceFillingCurve = SpaceFillingCurve<SliceLengths,
DimAccessOrder,
constexpr auto dim_access_order = DimAccessOrder{}; remove_cv_t<decltype(scalar_per_access)>>;
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) { constexpr auto num_access = SpaceFillingCurve::GetNumOfAccess();
index_t tmp = ordered_access_lengths[I0] - 1; if constexpr(num_access == 0)
{
static_for<1, i, 1>{}([&](auto j) { return typename SpaceFillingCurve::Index{};
tmp = tmp * ordered_access_lengths[j] + ordered_access_lengths[j] - 1; }
}); else
{
forward_sweep_(i) = tmp % 2 == 0; constexpr auto reset_step =
}); SpaceFillingCurve::GetStepBetween(Number<num_access - 1>{}, Number<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]; });
return reset_data_step_;
}();
return reset_data_step; return reset_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
...@@ -332,7 +201,7 @@ struct ThreadwiseTensorSliceTransfer_v6r1 ...@@ -332,7 +201,7 @@ 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
include/ck/tensor_operation/gpu/thread/threadwise_tensor_slice_transfer_v6r2.hpp
View file @ 9e33fe70
...@@ -4,6 +4,7 @@ ...@@ -4,6 +4,7 @@
#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 {
...@@ -44,10 +45,6 @@ struct ThreadwiseTensorSliceTransfer_v6r2 ...@@ -44,10 +45,6 @@ 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,
...@@ -96,72 +93,14 @@ struct ThreadwiseTensorSliceTransfer_v6r2 ...@@ -96,72 +93,14 @@ 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>{});
constexpr auto access_lengths = SliceLengths{} / scalar_per_access; using SpaceFillingCurve = SpaceFillingCurve<SliceLengths,
DimAccessOrder,
constexpr auto dim_access_order = DimAccessOrder{}; remove_cv_t<decltype(scalar_per_access)>>;
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);
// 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_; constexpr auto num_access = SpaceFillingCurve::GetNumOfAccess();
}();
// loop over space-filling curve
static_for<0, num_access, 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;
...@@ -197,66 +136,23 @@ struct ThreadwiseTensorSliceTransfer_v6r2 ...@@ -197,66 +136,23 @@ 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
if constexpr(DstInMemOp == InMemoryDataOperationEnum_t::Set) dst_buf.template Update<DstInMemOp, dst_vector_t>(
{
dst_buf.template Set<dst_vector_t>(
dst_coord_.GetOffset(), dst_coord_.GetOffset(),
is_dst_valid, is_dst_valid,
dst_vector_container.template AsType<dst_vector_t>()[I0]); 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]);
}
constexpr auto move_on_dim = [&]() constexpr
{
StaticallyIndexedArray<bool, nDim> move_on_dim_;
static_for<0, nDim, 1>{}([&](auto i) {
move_on_dim_(i) = ordered_access_idx[i] < ordered_access_lengths[i] - 1;
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 // move coordinate
static_for<0, nDim, 1>{}([&](auto i) { if constexpr(idx_1d.value != num_access - 1)
if constexpr(move_on_dim[i])
{
if constexpr(forward_sweep[i])
{ {
constexpr auto forward_step = SpaceFillingCurve::GetForwardStep(idx_1d);
move_tensor_coordinate( move_tensor_coordinate(
src0_desc, src0_coord_, src0_forward_steps[dim_access_order[i]]); src0_desc, src0_coord_, make_tensor_coordinate_step(src0_desc, forward_step));
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( move_tensor_coordinate(
src1_desc, src1_coord_, src1_backward_steps[dim_access_order[i]]); src1_desc, src1_coord_, make_tensor_coordinate_step(src1_desc, forward_step));
move_tensor_coordinate( move_tensor_coordinate(
dst_desc, dst_coord_, dst_backward_steps[dim_access_order[i]]); dst_desc, dst_coord_, make_tensor_coordinate_step(dst_desc, forward_step));
}
} }
}); });
});
// move coordinate back to slice origin (or not) // move coordinate back to slice origin (or not)
if constexpr(Src0ResetCoordinateAfterRun) if constexpr(Src0ResetCoordinateAfterRun)
...@@ -286,59 +182,25 @@ struct ThreadwiseTensorSliceTransfer_v6r2 ...@@ -286,59 +182,25 @@ 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>{});
constexpr auto access_lengths = SliceLengths{} / scalar_per_access; using SpaceFillingCurve = SpaceFillingCurve<SliceLengths,
DimAccessOrder,
constexpr auto dim_access_order = DimAccessOrder{}; remove_cv_t<decltype(scalar_per_access)>>;
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) { constexpr auto num_access = SpaceFillingCurve::GetNumOfAccess();
index_t tmp = ordered_access_lengths[I0] - 1; if constexpr(num_access == 0)
{
static_for<1, i, 1>{}([&](auto j) { return typename SpaceFillingCurve::Index{};
tmp = tmp * ordered_access_lengths[j] + ordered_access_lengths[j] - 1; }
}); else
{
forward_sweep_(i) = tmp % 2 == 0; constexpr auto reset_step =
}); SpaceFillingCurve::GetStepBetween(Number<num_access - 1>{}, Number<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]; });
return reset_data_step_;
}();
return reset_data_step; return reset_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
......
include/ck/tensor_operation/gpu/thread/threadwise_tensor_slice_transfer_v6r3.hpp
View file @ 9e33fe70
...@@ -4,6 +4,7 @@ ...@@ -4,6 +4,7 @@
#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 {
...@@ -48,11 +49,6 @@ struct ThreadwiseTensorSliceTransfer_v6r3 ...@@ -48,11 +49,6 @@ 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,
...@@ -112,74 +108,14 @@ struct ThreadwiseTensorSliceTransfer_v6r3 ...@@ -112,74 +108,14 @@ 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>{});
constexpr auto access_lengths = SliceLengths{} / scalar_per_access; using SpaceFillingCurve = SpaceFillingCurve<SliceLengths,
DimAccessOrder,
constexpr auto dim_access_order = DimAccessOrder{}; remove_cv_t<decltype(scalar_per_access)>>;
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); constexpr auto num_access = SpaceFillingCurve::GetNumOfAccess();
},
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);
// 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_access, 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;
...@@ -224,73 +160,25 @@ struct ThreadwiseTensorSliceTransfer_v6r3 ...@@ -224,73 +160,25 @@ 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_);
// copy data from dst_vector into dst_buf dst_buf.template Update<DstInMemOp, dst_vector_t>(
if constexpr(DstInMemOp == InMemoryDataOperationEnum_t::Set)
{
dst_buf.template Set<dst_vector_t>(
dst_coord_.GetOffset(), dst_coord_.GetOffset(),
is_dst_valid, is_dst_valid,
dst_vector_container.template AsType<dst_vector_t>()[I0]); 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]);
}
constexpr auto move_on_dim = [&]() constexpr
{
StaticallyIndexedArray<bool, nDim> move_on_dim_;
static_for<0, nDim, 1>{}([&](auto i) {
move_on_dim_(i) = ordered_access_idx[i] < ordered_access_lengths[i] - 1;
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 // move coordinate
static_for<0, nDim, 1>{}([&](auto i) { if constexpr(idx_1d.value != num_access - 1)
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
{ {
constexpr auto forward_step = SpaceFillingCurve::GetForwardStep(idx_1d);
move_tensor_coordinate( move_tensor_coordinate(
src0_desc, src0_coord_, src0_backward_steps[dim_access_order[i]]); src0_desc, src0_coord_, make_tensor_coordinate_step(src0_desc, forward_step));
move_tensor_coordinate( move_tensor_coordinate(
src1_desc, src1_coord_, src1_backward_steps[dim_access_order[i]]); src1_desc, src1_coord_, make_tensor_coordinate_step(src1_desc, forward_step));
move_tensor_coordinate( move_tensor_coordinate(
src2_desc, src2_coord_, src2_backward_steps[dim_access_order[i]]); src2_desc, src2_coord_, make_tensor_coordinate_step(src2_desc, forward_step));
move_tensor_coordinate( move_tensor_coordinate(
dst_desc, dst_coord_, dst_backward_steps[dim_access_order[i]]); dst_desc, dst_coord_, make_tensor_coordinate_step(dst_desc, forward_step));
}
} }
}); });
});
// move coordinate back to slice origin (or not) // move coordinate back to slice origin (or not)
if constexpr(Src0ResetCoordinateAfterRun) if constexpr(Src0ResetCoordinateAfterRun)
...@@ -328,59 +216,25 @@ struct ThreadwiseTensorSliceTransfer_v6r3 ...@@ -328,59 +216,25 @@ 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>{});
constexpr auto access_lengths = SliceLengths{} / scalar_per_access; using SpaceFillingCurve = SpaceFillingCurve<SliceLengths,
DimAccessOrder,
constexpr auto dim_access_order = DimAccessOrder{}; remove_cv_t<decltype(scalar_per_access)>>;
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; constexpr auto num_access = SpaceFillingCurve::GetNumOfAccess();
if constexpr(num_access == 0)
static_for<1, nDim, 1>{}([&](auto i) { {
index_t tmp = ordered_access_lengths[I0] - 1; return typename SpaceFillingCurve::Index{};
}
static_for<1, i, 1>{}([&](auto j) { else
tmp = tmp * ordered_access_lengths[j] + ordered_access_lengths[j] - 1; {
}); constexpr auto reset_step =
SpaceFillingCurve::GetStepBetween(Number<num_access - 1>{}, Number<0>{});
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]; });
return reset_data_step_;
}();
return reset_data_step; return reset_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
......
test/space_filling_curve/space_filling_curve.cpp
View file @ 9e33fe70
...@@ -95,13 +95,13 @@ void traverse_using_space_filling_curve() ...@@ -95,13 +95,13 @@ void traverse_using_space_filling_curve()
make_tuple(12, 2, 6), make_tuple(12, 2, 6),
make_tuple(12, 0, 6)); make_tuple(12, 0, 6));
constexpr index_t num_accesses = SpaceFillingCurve::GetNumOfAccess(); constexpr index_t num_access = SpaceFillingCurve::GetNumOfAccess();
static_assert(num_accesses == reduce_on_sequence(TensorLengths{} / ScalarsPerAccess{}, static_assert(num_access == reduce_on_sequence(TensorLengths{} / ScalarsPerAccess{},
math::multiplies{}, math::multiplies{},
Number<1>{})); Number<1>{}));
static_for<1, num_accesses, 1>{}([&](auto i) { static_for<1, num_access, 1>{}([&](auto i) {
constexpr auto idx_curr = SpaceFillingCurve::GetIndex(i); constexpr auto idx_curr = SpaceFillingCurve::GetIndex(i);
static_assert(idx_curr[I0] == expected[i][I0]); static_assert(idx_curr[I0] == expected[i][I0]);
...@@ -115,7 +115,7 @@ void traverse_using_space_filling_curve() ...@@ -115,7 +115,7 @@ void traverse_using_space_filling_curve()
static_assert(backward_step[I2] == expected_step[I2]); static_assert(backward_step[I2] == expected_step[I2]);
}); });
static_for<0, num_accesses - 1, 1>{}([&](auto i) { static_for<0, num_access - 1, 1>{}([&](auto i) {
constexpr auto idx_curr = SpaceFillingCurve::GetIndex(i); constexpr auto idx_curr = SpaceFillingCurve::GetIndex(i);
static_assert(idx_curr[I0] == expected[i][I0]); static_assert(idx_curr[I0] == expected[i][I0]);
......
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