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Commit a578ff93 authored by Chao Liu's avatar Chao Liu
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fixed a bug; tested more transformation, no scrach mem

parent c15a3c09
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Showing with 369 additions and 107 deletions
composable_kernel/include/kernel_algorithm/dummy_dynamic_transform_v2.hpp
View file @ a578ff93
......@@ -7,44 +7,44 @@
namespace ck {
template <typename WeiDesc, typename InDesc, typename OutDesc>
__host__ __device__ constexpr auto
map_convolution_into_gemm_v2(const WeiDesc& wei_k_c_y_x_global_desc,
const InDesc& in_n_c_hi_wi_global_desc,
const OutDesc& out_n_k_ho_wo_global_desc,
const MultiIndex<2> conv_strides,
const MultiIndex<2> conv_dilations,
const MultiIndex<2> in_left_pads,
const MultiIndex<2> in_right_pads)
template <typename... Wei, typename... In, typename... Out>
__host__ __device__ constexpr auto map_convolution_into_gemm_fwd_v4r4(
const DynamicTensorDescriptor_v2<Wei...>& wei_k_c_y_x_global_desc,
const DynamicTensorDescriptor_v2<In...>& in_n_c_hi_wi_global_desc,
const DynamicTensorDescriptor_v2<Out...>& out_n_k_ho_wo_global_desc,
const MultiIndex<2> conv_strides,
const MultiIndex<2> conv_dilations,
const MultiIndex<2> in_left_pads,
const MultiIndex<2> in_right_pads)
{
constexpr auto i0 = Number<0>{};
constexpr auto i1 = Number<1>{};
constexpr auto i2 = Number<2>{};
constexpr auto i3 = Number<3>{};
constexpr auto I0 = Number<0>{};
constexpr auto I1 = Number<1>{};
constexpr auto I2 = Number<2>{};
constexpr auto I3 = Number<3>{};
const index_t N = in_n_c_hi_wi_global_desc.GetLength(i0);
const index_t C = in_n_c_hi_wi_global_desc.GetLength(i1);
const index_t K = out_n_k_ho_wo_global_desc.GetLength(i1);
const index_t N = in_n_c_hi_wi_global_desc.GetLength(I0);
const index_t C = in_n_c_hi_wi_global_desc.GetLength(I1);
const index_t K = out_n_k_ho_wo_global_desc.GetLength(I1);
const index_t Y = wei_k_c_y_x_global_desc.GetLength(i2);
const index_t X = wei_k_c_y_x_global_desc.GetLength(i3);
const index_t Y = wei_k_c_y_x_global_desc.GetLength(I2);
const index_t X = wei_k_c_y_x_global_desc.GetLength(I3);
const index_t Hi = in_n_c_hi_wi_global_desc.GetLength(i2);
const index_t Wi = in_n_c_hi_wi_global_desc.GetLength(i3);
const index_t Hi = in_n_c_hi_wi_global_desc.GetLength(I2);
const index_t Wi = in_n_c_hi_wi_global_desc.GetLength(I3);
const index_t Ho = out_n_k_ho_wo_global_desc.GetLength(i2);
const index_t Wo = out_n_k_ho_wo_global_desc.GetLength(i3);
const index_t Ho = out_n_k_ho_wo_global_desc.GetLength(I2);
const index_t Wo = out_n_k_ho_wo_global_desc.GetLength(I3);
const index_t ConvStrideH = conv_strides[i0];
const index_t ConvStrideW = conv_strides[i1];
const index_t ConvStrideH = conv_strides[I0];
const index_t ConvStrideW = conv_strides[I1];
const index_t ConvDilationH = conv_dilations[i0];
const index_t ConvDilationW = conv_dilations[i1];
const index_t ConvDilationH = conv_dilations[I0];
const index_t ConvDilationW = conv_dilations[I1];
const index_t InLeftPadH = in_left_pads[i0];
const index_t InLeftPadW = in_left_pads[i1];
const index_t InRightPadH = in_right_pads[i0];
const index_t InRightPadW = in_right_pads[i1];
const index_t InLeftPadH = in_left_pads[I0];
const index_t InLeftPadW = in_left_pads[I1];
const index_t InRightPadH = in_right_pads[I0];
const index_t InRightPadW = in_right_pads[I1];
// input tensor
const auto in_n_c_hip_wip_global_desc = transform_dynamic_tensor_descriptor_v2(
......@@ -63,8 +63,8 @@ map_convolution_into_gemm_v2(const WeiDesc& wei_k_c_y_x_global_desc,
make_tuple(Sequence<0>{}, Sequence<1>{}, Sequence<2>{}, Sequence<3>{}),
make_tuple(Sequence<0>{}, Sequence<1>{}, Sequence<2>{}, Sequence<3>{}));
const index_t Hip = in_n_c_hip_wip_global_desc.GetLength(i2);
const index_t Wip = in_n_c_hip_wip_global_desc.GetLength(i3);
const index_t Hip = in_n_c_hip_wip_global_desc.GetLength(I2);
const index_t Wip = in_n_c_hip_wip_global_desc.GetLength(I3);
const auto in_n_c_y_ho_x_wo_global_desc = transform_dynamic_tensor_descriptor_v2(
in_n_c_hip_wip_global_desc,
......@@ -76,16 +76,127 @@ map_convolution_into_gemm_v2(const WeiDesc& wei_k_c_y_x_global_desc,
make_tuple(Sequence<0>{}, Sequence<1>{}, Sequence<2>{}, Sequence<3>{}),
make_tuple(Sequence<0>{}, Sequence<1>{}, Sequence<2, 3>{}, Sequence<4, 5>{}));
const auto in_gemmk_gemmn_global_desc = transform_dynamic_tensor_descriptor_v2(
const auto in_gemmktotal_gemmn_global_desc = transform_dynamic_tensor_descriptor_v2(
in_n_c_y_ho_x_wo_global_desc,
make_tuple(DynamicMerge<3>{make_multi_index(C, Y, X)},
DynamicMerge<3>{make_multi_index(N, Ho, Wo)}),
make_tuple(Sequence<1, 2, 4>{}, Sequence<0, 3, 5>{}),
make_tuple(Sequence<0>{}, Sequence<1>{}));
return make_tuple(in_gemmk_gemmn_global_desc);
const index_t gemmktotal = in_gemmktotal_gemmn_global_desc.GetLength(I0);
const index_t gemmn = in_gemmktotal_gemmn_global_desc.GetLength(I1);
constexpr index_t GemmKPack = 8;
const index_t gemmk = gemmktotal / GemmKPack;
const auto in_gemmk_gemmn_gemmkpack_global_desc = transform_dynamic_tensor_descriptor_v2(
in_gemmktotal_gemmn_global_desc,
make_tuple(DynamicUnMerge<2>{make_multi_index(gemmk, GemmKPack)},
DynamicPassThrough{gemmn}),
make_tuple(Sequence<0>{}, Sequence<1>{}),
make_tuple(Sequence<0, 2>{}, Sequence<1>{}));
static_assert(decltype(in_gemmk_gemmn_gemmkpack_global_desc)::GetNumOfDimension() == 3,
"wrong!");
return make_tuple(in_gemmk_gemmn_gemmkpack_global_desc);
}
#if 0
template <typename... Wei, typename... In, typename... Out>
__host__ __device__ constexpr auto map_convolution_into_gemm_bwd_v4r1(
const DynamicTensorDescriptor_v2<Wei...>& wei_k_c_y_x_global_desc,
const DynamicTensorDescriptor_v2<In...>& in_n_c_hi_wi_global_desc,
const DynamicTensorDescriptor_v2<Out...>& out_n_k_ho_wo_global_desc,
const MultiIndex<2> conv_strides,
const MultiIndex<2> conv_dilations,
const MultiIndex<2> in_left_pads,
const MultiIndex<2> in_right_pads)
{
constexpr auto I0 = Number<0>{};
constexpr auto I1 = Number<1>{};
constexpr auto I2 = Number<2>{};
constexpr auto I3 = Number<3>{};
const index_t N = in_n_c_hi_wi_global_desc.GetLength(I0);
const index_t C = in_n_c_hi_wi_global_desc.GetLength(I1);
const index_t K = out_n_k_ho_wo_global_desc.GetLength(I1);
const index_t Y = wei_k_c_y_x_global_desc.GetLength(I2);
const index_t X = wei_k_c_y_x_global_desc.GetLength(I3);
const index_t Hi = in_n_c_hi_wi_global_desc.GetLength(I2);
const index_t Wi = in_n_c_hi_wi_global_desc.GetLength(I3);
const index_t Ho = out_n_k_ho_wo_global_desc.GetLength(I2);
const index_t Wo = out_n_k_ho_wo_global_desc.GetLength(I3);
const index_t ConvStrideH = conv_strides[I0];
const index_t ConvStrideW = conv_strides[I1];
const index_t ConvDilationH = conv_dilations[I0];
const index_t ConvDilationW = conv_dilations[I1];
const index_t InLeftPadH = in_left_pads[I0];
const index_t InLeftPadW = in_left_pads[I1];
const index_t InRightPadH = in_right_pads[I0];
const index_t InRightPadW = in_right_pads[I1];
#if !CK_EXPERIMENTAL_IMPLICIT_GEMM_BACKWARD_DATA_V4R1_OUTPUT_SKIP_OUT_OF_BOUND_CHECK
constexpr bool out_skip_out_of_bound_check = false;
#else
constexpr bool out_skip_out_of_bound_check = true;
#endif
constexpr auto out_n_k_ydot_htilda_xdot_wtilda_global_desc = transform_tensor_descriptor_v2(
out_n_k_ho_wo_global_desc,
make_tuple(PassThrough{N},
PassThrough{K},
Embed<2>{make_multi_index(YDot, HTilda), make_multi_index(-ConvDilationH / GcdStrideDilationH, 1)},
Embed<2>{make_multi_index(XDot, WTilda), make_multi_index(-ConvDilationW / GcdStrideDilationW, 1)}),
make_tuple(Sequence<0>{}, Sequence<1>{}, Sequence<2>{}, Sequence<3>{}),
make_tuple(Sequence<0>{}, Sequence<1>{}, Sequence<2, 3>{}, Sequence<4, 5>{}));
constexpr auto out_n_k_ydot_htildaslice_xdot_wtildaslice_global_desc =
transform_tensor_descriptor_v2(
out_n_k_ydot_htilda_xdot_wtilda_global_desc,
make_tuple(PassThrough{N},
PassThrough{K},
PassThrough{YDot},
PassThrough{XDot},
Slice<Sequence<HTilda, WTilda>,
Sequence<iHTildaLeft, iWTildaLeft>,
Sequence<iHTildaRight, iWTildaRight>>{}),
make_tuple(
Sequence<0>{}, Sequence<1>{}, Sequence<2>{}, Sequence<4>{}, Sequence<3, 5>{}),
make_tuple(
Sequence<0>{}, Sequence<1>{}, Sequence<2>{}, Sequence<4>{}, Sequence<3, 5>{}));
constexpr auto out_n_k_ydotslice_htildaslice_xdotslice_wtildaslice_global_desc =
transform_tensor_descriptor(
out_n_k_ydot_htildaslice_xdot_wtildaslice_global_desc,
make_tuple(
PassThrough<N>{},
PassThrough<K>{},
PassThrough<HTildaSlice>{},
PassThrough<WTildaSlice>{},
Slice<Sequence<YDot, XDot>, Sequence<0, 0>, Sequence<YDotSlice, XDotSlice>>{}),
make_tuple(
Sequence<0>{}, Sequence<1>{}, Sequence<3>{}, Sequence<5>{}, Sequence<2, 4>{}),
make_tuple(
Sequence<0>{}, Sequence<1>{}, Sequence<3>{}, Sequence<5>{}, Sequence<2, 4>{}));
constexpr auto out_gemmk_gemmn_global_desc = transform_tensor_descriptor(
out_n_k_ydotslice_htildaslice_xdotslice_wtildaslice_global_desc,
make_tuple(Merge<Sequence<K, YDotSlice, XDotSlice>>{},
Merge<Sequence<N, HTildaSlice, WTildaSlice>>{}),
make_tuple(Sequence<1, 2, 4>{}, Sequence<0, 3, 5>{}),
make_tuple(Sequence<0>{}, Sequence<1>{}));
return make_tuple(in_gemmk_gemmn_gemmkpack_global_desc);
}
#endif
template <index_t BlockSize>
struct DummyDynamicTransform_v2_1
{
......@@ -102,13 +213,13 @@ struct DummyDynamicTransform_v2_1
const MultiIndex<2> in_right_pads) const
{
const auto transformed_tensor_descs =
map_convolution_into_gemm_v2(move(wei_k_c_y_x_global_desc),
move(in_n_c_hi_wi_global_desc),
move(out_n_k_ho_wo_global_desc),
conv_strides,
conv_dilations,
in_left_pads,
in_right_pads);
map_convolution_into_gemm(move(wei_k_c_y_x_global_desc),
move(in_n_c_hi_wi_global_desc),
move(out_n_k_ho_wo_global_desc),
conv_strides,
conv_dilations,
in_left_pads,
in_right_pads);
const auto in_gemmk_gemmn_global_desc = transformed_tensor_descs.At(Number<0>{});
......@@ -302,31 +413,42 @@ struct DummyDynamicTransform_v2_1
};
template <index_t BlockSize>
struct DummyDynamicTransform_v2_2
struct DummyDynamicTransform_v2_fwd_v4r4
{
template <typename TransformInDesc>
__device__ void Run(index_t* const __restrict__ p_wei_global,
float* const __restrict__ p_in_global,
float* const __restrict__ p_out_global,
const TransformInDesc in_gemmk_gemmn_global_desc) const
const TransformInDesc in_gemmk_gemmn_gemmkpack_global_desc) const
{
MultiIndex<2> idx;
MultiIndex<3> idx;
// initialize idx
static_for<0, 2, 1>{}([&](auto i) { idx(i) = p_wei_global[get_thread_local_1d_id() + i]; });
static_for<0, 3, 1>{}([&](auto i) { idx(i) = p_wei_global[get_thread_local_1d_id() + i]; });
const index_t niter = p_wei_global[10];
auto in_gemmk_gemmn_coord =
make_dynamic_tensor_coordinate_v2(in_gemmk_gemmn_global_desc, idx);
auto in_gemmk_gemmn_gemmkpack_coord =
make_dynamic_tensor_coordinate_v2(in_gemmk_gemmn_gemmkpack_global_desc, idx);
const auto in_gemmk_gemmn_coord_step = make_dynamic_tensor_coordinate_step_v2(
in_gemmk_gemmn_global_desc, make_multi_index(1, 0));
const auto in_gemmk_gemmn_gemmkpack_coord_step_0_0_1 =
make_dynamic_tensor_coordinate_step_v2(in_gemmk_gemmn_gemmkpack_global_desc,
make_multi_index(0, 0, 1));
const auto in_gemmk_gemmn_gemmkpack_coord_step_0_1_0 =
make_dynamic_tensor_coordinate_step_v2(in_gemmk_gemmn_gemmkpack_global_desc,
make_multi_index(0, 1, 0));
const auto in_gemmk_gemmn_gemmkpack_coord_step_1_0_0 =
make_dynamic_tensor_coordinate_step_v2(in_gemmk_gemmn_gemmkpack_global_desc,
make_multi_index(1, 0, 0));
// move (0, 0, 1)
for(index_t iter = 0; iter < niter; ++iter)
{
move_dynamic_tensor_coordinate_v2(
in_gemmk_gemmn_global_desc, in_gemmk_gemmn_coord, in_gemmk_gemmn_coord_step);
move_dynamic_tensor_coordinate_v2(in_gemmk_gemmn_gemmkpack_global_desc,
in_gemmk_gemmn_gemmkpack_coord,
in_gemmk_gemmn_gemmkpack_coord_step_0_0_1);
// write
float value = 1;
......@@ -337,19 +459,84 @@ struct DummyDynamicTransform_v2_2
AddressSpace::Global,
InMemoryDataOperation::Set,
1,
1>(&value,
0,
true,
1,
p_out_global,
in_gemmk_gemmn_coord.GetOffset(),
#if 0
coordinate_has_valid_offset_assuming_visible_index_is_valid(
in_gemmk_gemmn_global_desc, in_gemmk_gemmn_coord),
1>(
&value,
0,
true,
1,
p_out_global,
in_gemmk_gemmn_gemmkpack_coord.GetOffset(),
#if 1
coordinate_has_valid_offset_assuming_visible_index_is_valid(
in_gemmk_gemmn_gemmkpack_global_desc, in_gemmk_gemmn_gemmkpack_coord),
#else
true,
true,
#endif
in_gemmk_gemmn_global_desc.GetElementSpaceSize());
in_gemmk_gemmn_gemmkpack_global_desc.GetElementSpaceSize());
}
// move (0, 1, 0)
for(index_t iter = 0; iter < niter; ++iter)
{
move_dynamic_tensor_coordinate_v2(in_gemmk_gemmn_gemmkpack_global_desc,
in_gemmk_gemmn_gemmkpack_coord,
in_gemmk_gemmn_gemmkpack_coord_step_0_1_0);
// write
float value = 1;
transfer_data<float,
1,
AddressSpace::Vgpr,
AddressSpace::Global,
InMemoryDataOperation::Set,
1,
1>(
&value,
0,
true,
1,
p_out_global,
in_gemmk_gemmn_gemmkpack_coord.GetOffset(),
#if 1
coordinate_has_valid_offset_assuming_visible_index_is_valid(
in_gemmk_gemmn_gemmkpack_global_desc, in_gemmk_gemmn_gemmkpack_coord),
#else
true,
#endif
in_gemmk_gemmn_gemmkpack_global_desc.GetElementSpaceSize());
}
// move (1, 0, 0)
for(index_t iter = 0; iter < niter; ++iter)
{
move_dynamic_tensor_coordinate_v2(in_gemmk_gemmn_gemmkpack_global_desc,
in_gemmk_gemmn_gemmkpack_coord,
in_gemmk_gemmn_gemmkpack_coord_step_1_0_0);
// write
float value = 1;
transfer_data<float,
1,
AddressSpace::Vgpr,
AddressSpace::Global,
InMemoryDataOperation::Set,
1,
1>(
&value,
0,
true,
1,
p_out_global,
in_gemmk_gemmn_gemmkpack_coord.GetOffset(),
#if 1
coordinate_has_valid_offset_assuming_visible_index_is_valid(
in_gemmk_gemmn_gemmkpack_global_desc, in_gemmk_gemmn_gemmkpack_coord),
#else
true,
#endif
in_gemmk_gemmn_gemmkpack_global_desc.GetElementSpaceSize());
}
}
};
......
composable_kernel/include/tensor_description/dynamic_multi_index_transform.hpp
View file @ a578ff93
......@@ -371,7 +371,7 @@ struct DynamicMerge
__host__ __device__ constexpr DynamicMerge(const LowerIndex& low_lengths)
: low_lengths_{low_lengths},
low_lengths_scan_{container_reverse_exclusive_scan<index_t, NDimLow>(
low_lengths_scan_{container_reverse_exclusive_scan(
low_lengths, math::multiplies<index_t>{}, index_t{1})},
up_lengths_{make_multi_index(
container_reduce(low_lengths, math::multiplies<index_t>(), index_t{1}))}
......@@ -536,7 +536,7 @@ struct DynamicUnMerge
__host__ __device__ constexpr void CalculateLowerIndex(LowIdx& idx_low,
const UpIdx& idx_up) const
{
idx_low(Number<0>{}) = idx_up[Number<NDimUp>{}];
idx_low(Number<0>{}) = idx_up[Number<NDimUp - 1>{}];
static_for<0, NDimUp - 1, 1>{}(
[&](auto i) { idx_low(Number<0>{}) += idx_up[i] * up_lengths_scan_[i]; });
......
composable_kernel/include/tensor_description/dynamic_tensor_descriptor_v2.hpp
View file @ a578ff93
......@@ -445,7 +445,8 @@ make_dynamic_tensor_coordinate_v2(const TensorDesc& tensor_desc, const VisibleIn
idx_hidden_pick_visible = idx_visible;
// calculate hidden index
static_for<ntransform - 1, -1, -1>{}([&tensor_desc, &idx_hidden](auto itran) {
static_for<ntransform, 0, -1>{}([&tensor_desc, &idx_hidden](auto itran_p1) {
auto itran = itran_p1 - Number<1>{};
const auto& tran = tensor_desc.GetTransforms().At(itran);
constexpr auto dims_low = TensorDesc::GetLowerDimensionIdss().At(itran);
constexpr auto dims_up = TensorDesc::GetUpperDimensionIdss().At(itran);
......
composable_kernel/include/utility/array_helper.hpp
View file @ a578ff93
......@@ -112,11 +112,17 @@ container_reverse_exclusive_scan(const Array<TData, NSize>& x, Reduce f, TData i
return y;
}
template <typename TData, index_t NSize, typename Reduce>
__host__ __device__ constexpr auto container_reverse_exclusive_scan(
const StaticallyIndexedArray<TData, NSize>& x, Reduce f, TData init)
// Here should use StaticallyIndexedArray<TData, NSize>, instead of Tuple<Xs...>,
// although the former is the alias of the latter. This is because compiler cannot
// infer the NSize if using StaticallyIndexedArray<TData, NSize>
// TODO: how to fix this?
template <typename... Xs, typename Reduce, typename TData>
__host__ __device__ constexpr auto
container_reverse_exclusive_scan(const Tuple<Xs...>& x, Reduce f, TData init)
{
StaticallyIndexedArray<TData, NSize> y;
constexpr index_t NSize = sizeof...(Xs);
Tuple<Xs...> y;
TData r = init;
......@@ -130,11 +136,13 @@ __host__ __device__ constexpr auto container_reverse_exclusive_scan(
return y;
}
template <typename TData, index_t NSize, typename Reduce>
__host__ __device__ constexpr auto container_reverse_inclusive_scan(
const StaticallyIndexedArray<TData, NSize>& x, Reduce f, TData init)
template <typename... Xs, typename Reduce, typename TData>
__host__ __device__ constexpr auto
container_reverse_inclusive_scan(const Tuple<Xs...>& x, Reduce f, TData init)
{
StaticallyIndexedArray<TData, NSize> y;
constexpr index_t NSize = sizeof...(Xs);
Tuple<Xs...> y;
TData r = init;
......
composable_kernel/include/utility/config.amd.hpp.in
View file @ a578ff93
......@@ -9,7 +9,7 @@
#define CK_UNSIGNED_INDEX_TYPE 0
// multi index
#define CK_USE_DYNAMICALLY_INDEXED_MULTI_INDEX 1
#define CK_USE_DYNAMICALLY_INDEXED_MULTI_INDEX 0
// device backend
#define CK_DEVICE_BACKEND_AMD 1
......
composable_kernel/include/utility/print.hpp
View file @ a578ff93
......@@ -14,6 +14,7 @@ __host__ __device__ void print_array(const char* s, T a)
using data_type = decltype(a.At(Number<0>{}));
constexpr index_t nsize = a.Size();
#if 0
if constexpr(is_same<data_type, uint32_t>{})
{
printf("%s size %u, {", s, nsize);
......@@ -32,6 +33,11 @@ __host__ __device__ void print_array(const char* s, T a)
static_for<0, nsize, 1>{}([&a](auto i) constexpr { printf("%d, ", bool{a[i]}); });
printf("}\n");
}
#else
printf("%s size %d, {", s, nsize);
static_for<0, nsize, 1>{}([&a](auto i) constexpr { printf("%d, ", int32_t{a[i]}); });
printf("}\n");
#endif
}
template <typename T>
......@@ -40,6 +46,7 @@ __host__ __device__ void print_array_v2(const char* s, T a)
using data_type = decltype(a.At(Number<0>{}));
constexpr index_t nsize = a.Size();
#if 0
if constexpr(is_same<data_type, uint32_t>{})
{
printf("%s size %u, {", s, nsize);
......@@ -52,6 +59,11 @@ __host__ __device__ void print_array_v2(const char* s, T a)
static_for<0, nsize, 1>{}([&a](auto i) constexpr { printf("[%d] %d, ", i.value, a[i]); });
printf("}\n");
}
#else
printf("%s size %d, {", s, nsize);
static_for<0, nsize, 1>{}([&a](auto i) constexpr { printf("[%d] %d, ", i.value, a[i]); });
printf("}\n");
#endif
}
} // namespace ck
......
driver/include/device_dummy_dynamic_transform_v2.hpp
View file @ a578ff93
......@@ -40,36 +40,89 @@ void device_dummy_dynamic_transform_v2(InDesc,
const auto in_left_pads = to_multi_index(InLeftPads{});
const auto in_right_pads = to_multi_index(InRightPads{});
const auto tensor_descs = map_convolution_into_gemm_v2(wei_kcyx_desc,
in_nchw_desc,
out_nkhw_desc,
conv_strides,
conv_dilations,
in_left_pads,
in_right_pads);
const auto tensor_descs = map_convolution_into_gemm_fwd_v4r4(wei_kcyx_desc,
in_nchw_desc,
out_nkhw_desc,
conv_strides,
conv_dilations,
in_left_pads,
in_right_pads);
const auto in_gemmk_gemmn_global_desc = tensor_descs.At(Number<0>{});
const auto in_gemmk_gemmn_gemmkpack_global_desc = tensor_descs.At(Number<0>{});
// test on cpu
{
auto in_gemmk_gemmn_coord =
make_dynamic_tensor_coordinate_v2(in_gemmk_gemmn_global_desc, make_multi_index(0, 0));
auto in_gemmk_gemmn_gemmkpack_coord = make_dynamic_tensor_coordinate_v2(
in_gemmk_gemmn_gemmkpack_global_desc, make_multi_index(0, 0, 0));
const auto in_gemmk_gemmn_coord_step = make_dynamic_tensor_coordinate_step_v2(
in_gemmk_gemmn_global_desc, make_multi_index(1, 0));
const auto in_gemmk_gemmn_gemmkpack_coord_step_0_0_1 =
make_dynamic_tensor_coordinate_step_v2(in_gemmk_gemmn_gemmkpack_global_desc,
make_multi_index(0, 0, 1));
print_array("do_tansforms: ", in_gemmk_gemmn_coord_step.do_transforms_);
print_array_v2("do_tansforms 0 0 1: ",
in_gemmk_gemmn_gemmkpack_coord_step_0_0_1.do_transforms_);
for(index_t iter = 0; iter < 10; ++iter)
{
printf("iter %d\n", iter);
print_array("idx: ", in_gemmk_gemmn_coord.GetIndex());
print_array("hidden idx: ", in_gemmk_gemmn_coord.GetHiddenIndex());
printf("offset: %d\n", in_gemmk_gemmn_coord.GetOffset());
print_array_v2("idx: ", in_gemmk_gemmn_gemmkpack_coord.GetIndex());
print_array_v2("hidden idx: ", in_gemmk_gemmn_gemmkpack_coord.GetHiddenIndex());
printf("offset: %d\n", in_gemmk_gemmn_gemmkpack_coord.GetOffset());
printf("\n");
move_dynamic_tensor_coordinate_v2(
in_gemmk_gemmn_global_desc, in_gemmk_gemmn_coord, in_gemmk_gemmn_coord_step);
move_dynamic_tensor_coordinate_v2(in_gemmk_gemmn_gemmkpack_global_desc,
in_gemmk_gemmn_gemmkpack_coord,
in_gemmk_gemmn_gemmkpack_coord_step_0_0_1);
}
}
{
auto in_gemmk_gemmn_gemmkpack_coord = make_dynamic_tensor_coordinate_v2(
in_gemmk_gemmn_gemmkpack_global_desc, make_multi_index(0, 0, 0));
const auto in_gemmk_gemmn_gemmkpack_coord_step_0_1_0 =
make_dynamic_tensor_coordinate_step_v2(in_gemmk_gemmn_gemmkpack_global_desc,
make_multi_index(0, 1, 0));
print_array_v2("do_tansforms 0 1 0: ",
in_gemmk_gemmn_gemmkpack_coord_step_0_1_0.do_transforms_);
for(index_t iter = 0; iter < 10; ++iter)
{
printf("iter %d\n", iter);
print_array_v2("idx: ", in_gemmk_gemmn_gemmkpack_coord.GetIndex());
print_array_v2("hidden idx: ", in_gemmk_gemmn_gemmkpack_coord.GetHiddenIndex());
printf("offset: %d\n", in_gemmk_gemmn_gemmkpack_coord.GetOffset());
printf("\n");
move_dynamic_tensor_coordinate_v2(in_gemmk_gemmn_gemmkpack_global_desc,
in_gemmk_gemmn_gemmkpack_coord,
in_gemmk_gemmn_gemmkpack_coord_step_0_1_0);
}
}
{
auto in_gemmk_gemmn_gemmkpack_coord = make_dynamic_tensor_coordinate_v2(
in_gemmk_gemmn_gemmkpack_global_desc, make_multi_index(0, 0, 0));
const auto in_gemmk_gemmn_gemmkpack_coord_step_1_0_0 =
make_dynamic_tensor_coordinate_step_v2(in_gemmk_gemmn_gemmkpack_global_desc,
make_multi_index(1, 0, 0));
print_array_v2("do_tansforms 1 0 0: ",
in_gemmk_gemmn_gemmkpack_coord_step_1_0_0.do_transforms_);
for(index_t iter = 0; iter < 10; ++iter)
{
printf("iter %d\n", iter);
print_array_v2("idx: ", in_gemmk_gemmn_gemmkpack_coord.GetIndex());
print_array_v2("hidden idx: ", in_gemmk_gemmn_gemmkpack_coord.GetHiddenIndex());
printf("offset: %d\n", in_gemmk_gemmn_gemmkpack_coord.GetOffset());
printf("\n");
move_dynamic_tensor_coordinate_v2(in_gemmk_gemmn_gemmkpack_global_desc,
in_gemmk_gemmn_gemmkpack_coord,
in_gemmk_gemmn_gemmkpack_coord_step_1_0_0);
}
}
......@@ -123,19 +176,20 @@ void device_dummy_dynamic_transform_v2(InDesc,
in_left_pads,
in_right_pads);
#else
launch_kernel(run_gridwise_operation<DummyDynamicTransform_v2_2<BlockSize>,
index_t* const,
float* const,
float* const,
const decltype(in_gemmk_gemmn_global_desc)>,
dim3(GridSize),
dim3(BlockSize),
0,
0,
static_cast<index_t*>(wei_kcyx_device_buf.GetDeviceBuffer()),
static_cast<float*>(in_nchw_device_buf.GetDeviceBuffer()),
static_cast<float*>(out_nkhw_device_buf.GetDeviceBuffer()),
in_gemmk_gemmn_global_desc);
launch_kernel(
run_gridwise_operation<DummyDynamicTransform_v2_fwd_v4r4<BlockSize>,
index_t* const,
float* const,
float* const,
const decltype(in_gemmk_gemmn_gemmkpack_global_desc)>,
dim3(GridSize),
dim3(BlockSize),
0,
0,
static_cast<index_t*>(wei_kcyx_device_buf.GetDeviceBuffer()),
static_cast<float*>(in_nchw_device_buf.GetDeviceBuffer()),
static_cast<float*>(out_nkhw_device_buf.GetDeviceBuffer()),
in_gemmk_gemmn_gemmkpack_global_desc);
#endif
}
}
......
driver/src/conv_driver.cpp
View file @ a578ff93
......@@ -549,7 +549,7 @@ int main(int argc, char* argv[])
#endif
}
#if 1
#if 0
device_convolution_implicit_gemm_v4r1_nchw_kcyx_nkhw(in_nchw_desc,
in_nchw,
wei_kcyx_desc,
......@@ -573,7 +573,7 @@ int main(int argc, char* argv[])
LeftPads{},
RightPads{},
nrepeat);
#elif 1
#elif 0
device_dummy_static_transform(in_nchw_desc,
in_nchw,
wei_kcyx_desc,
......
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