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Commit 2a09df0f authored by Bartlomiej Kocot's avatar Bartlomiej Kocot
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Unify backward weight api with forward

parent 23220fe5
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Showing with 212 additions and 239 deletions
client_example/11_grouped_conv_bwd_weight/common.hpp
View file @ 2a09df0f
......@@ -36,17 +36,18 @@ std::size_t GetFlops(ck::index_t G,
ck::index_t N,
ck::index_t K,
ck::index_t C,
const std::array<ck::index_t, NumDimSpatial>& output_spatial_lengths,
const std::array<ck::index_t, NumDimSpatial>& filter_spatial_lengths)
const std::array<ck::index_t, NumDimSpatial>& output_lengths,
const std::array<ck::index_t, NumDimSpatial>& filter_lengths)
{
constexpr index_t spatial_offset = 3;
// 2 * G * N * K * C * <output spatial lengths product> * <filter spatial lengths product>
return static_cast<std::size_t>(2) * G * N * K * C *
std::accumulate(std::begin(output_spatial_lengths),
std::end(output_spatial_lengths),
std::accumulate(std::begin(output_lengths) + spatial_offset,
std::end(output_lengths),
static_cast<std::size_t>(1),
std::multiplies<>()) *
std::accumulate(std::begin(filter_spatial_lengths),
std::end(filter_spatial_lengths),
std::accumulate(std::begin(filter_lengths) + spatial_offset,
std::end(filter_lengths),
static_cast<std::size_t>(1),
std::multiplies<>());
}
......@@ -55,12 +56,13 @@ template <typename InDataType, ck::index_t NumDimSpatial>
std::size_t GetInputByte(ck::index_t G,
ck::index_t N,
ck::index_t C,
const std::array<ck::index_t, NumDimSpatial>& input_spatial_lengths)
const std::array<ck::index_t, NumDimSpatial>& input_lengths)
{
constexpr index_t spatial_offset = 3;
// sizeof(InDataType) * (G * N * C * <input spatial lengths product>) +
return sizeof(InDataType) * (G * N * C *
std::accumulate(std::begin(input_spatial_lengths),
std::end(input_spatial_lengths),
std::accumulate(std::begin(input_lengths) + spatial_offset,
std::end(input_lengths),
static_cast<std::size_t>(1),
std::multiplies<>()));
}
......@@ -69,12 +71,13 @@ template <typename WeiDataType, ck::index_t NumDimSpatial>
std::size_t GetWeightByte(ck::index_t G,
ck::index_t K,
ck::index_t C,
const std::array<ck::index_t, NumDimSpatial>& filter_spatial_lengths)
const std::array<ck::index_t, NumDimSpatial>& filter_lengths)
{
constexpr index_t spatial_offset = 3;
// sizeof(WeiDataType) * (G * K * C * <filter spatial lengths product>) +
return sizeof(WeiDataType) * (G * K * C *
std::accumulate(std::begin(filter_spatial_lengths),
std::end(filter_spatial_lengths),
std::accumulate(std::begin(filter_lengths) + spatial_offset,
std::end(filter_lengths),
static_cast<std::size_t>(1),
std::multiplies<>()));
}
......@@ -83,12 +86,13 @@ template <typename OutDataType, ck::index_t NumDimSpatial>
std::size_t GetOutputByte(ck::index_t G,
ck::index_t N,
ck::index_t K,
const std::array<ck::index_t, NumDimSpatial>& output_spatial_lengths)
const std::array<ck::index_t, NumDimSpatial>& output_lengths)
{
constexpr index_t spatial_offset = 3;
// sizeof(OutDataType) * (G * N * K * <output spatial lengths product>);
return sizeof(OutDataType) * (G * N * K *
std::accumulate(std::begin(output_spatial_lengths),
std::end(output_spatial_lengths),
std::accumulate(std::begin(output_lengths) + spatial_offset,
std::end(output_lengths),
static_cast<std::size_t>(1),
std::multiplies<std::size_t>()));
}
......@@ -105,9 +109,9 @@ bool run_grouped_conv_bwd_weight(
const ck::index_t N,
const ck::index_t K,
const ck::index_t C,
const std::array<ck::index_t, NumDimSpatial>& input_spatial_lengths,
const std::array<ck::index_t, NumDimSpatial>& filter_spatial_lengths,
const std::array<ck::index_t, NumDimSpatial>& output_spatial_lengths,
const std::array<ck::index_t, NumDimSpatial + 3>& input_lengths,
const std::array<ck::index_t, NumDimSpatial + 3>& filter_lengths,
const std::array<ck::index_t, NumDimSpatial + 3>& output_lengths,
const std::array<ck::index_t, NumDimSpatial + 3>& input_strides,
const std::array<ck::index_t, NumDimSpatial + 3>& weights_strides,
const std::array<ck::index_t, NumDimSpatial + 3>& output_strides,
......@@ -118,9 +122,9 @@ bool run_grouped_conv_bwd_weight(
{
ck::index_t split_k = 2;
SimpleDeviceMem in(GetInputByte<InDataType, NumDimSpatial>(G, N, C, input_spatial_lengths));
SimpleDeviceMem wei(GetWeightByte<WeiDataType, NumDimSpatial>(G, K, C, filter_spatial_lengths));
SimpleDeviceMem out(GetOutputByte<OutDataType, NumDimSpatial>(G, N, K, output_spatial_lengths));
SimpleDeviceMem in(GetInputByte<InDataType, NumDimSpatial>(input_lengths));
SimpleDeviceMem wei(GetWeightByte<WeiDataType, NumDimSpatial>(filter_lengths));
SimpleDeviceMem out(GetOutputByte<OutDataType, NumDimSpatial>(output_lengths));
using DeviceOp = ck::tensor_operation::device::DeviceGroupedConvBwdWeight<NumDimSpatial,
InLayout,
......@@ -144,6 +148,10 @@ bool run_grouped_conv_bwd_weight(
float best_gb_per_sec = 0;
float best_tflops = 0;
std::array<ck::index_t, NDimSpatial + 3> a_g_n_c_wis_lengths{};
std::array<ck::index_t, NDimSpatial + 3> a_g_n_c_wis_strides{};
std::array<ck::index_t, NDimSpatial + 3> b_g_k_c_xs_lengths{};
// profile device operation instances
std::cout << "Run all instances and do timing" << std::endl;
......@@ -153,15 +161,11 @@ bool run_grouped_conv_bwd_weight(
auto argument_ptr = op_ptr->MakeArgumentPointer(in.GetDeviceBuffer(),
wei.GetDeviceBuffer(),
out.GetDeviceBuffer(),
G,
N,
K,
C,
input_spatial_lengths,
filter_spatial_lengths,
output_spatial_lengths,
input_lengths,
input_strides,
filter_lengths,
weights_strides,
output_lengths,
output_strides,
conv_filter_strides,
conv_filter_dilations,
......@@ -178,12 +182,11 @@ bool run_grouped_conv_bwd_weight(
{
float avg_time = invoker_ptr->Run(argument_ptr.get(), StreamConfig{nullptr, true});
std::size_t flop =
GetFlops<NumDimSpatial>(G, N, K, C, output_spatial_lengths, filter_spatial_lengths);
std::size_t flop = GetFlops<NumDimSpatial>(G, N, K, C, output_lengths, filter_lengths);
std::size_t num_bytes =
GetInputByte<InDataType, NumDimSpatial>(G, N, C, input_spatial_lengths) +
GetWeightByte<WeiDataType, NumDimSpatial>(G, K, C, filter_spatial_lengths) +
GetOutputByte<OutDataType, NumDimSpatial>(G, N, K, output_spatial_lengths);
GetInputByte<InDataType, NumDimSpatial>(G, N, C, input_lengths) +
GetWeightByte<WeiDataType, NumDimSpatial>(G, K, C, filter_lengths) +
GetOutputByte<OutDataType, NumDimSpatial>(G, N, K, output_lengths);
float tflops = static_cast<float>(flop) / 1.E9 / avg_time;
float gb_per_sec = num_bytes / 1.E6 / avg_time;
......@@ -223,15 +226,11 @@ bool run_grouped_conv_bwd_weight(
auto argument_ptr = op_ptr->MakeArgumentPointer(in.GetDeviceBuffer(),
wei.GetDeviceBuffer(),
out.GetDeviceBuffer(),
G,
N,
K,
C,
input_spatial_lengths,
filter_spatial_lengths,
output_spatial_lengths,
input_lengths,
input_strides,
filter_lengths,
weights_strides,
output_lengths,
output_strides,
conv_filter_strides,
conv_filter_dilations,
......
example/20_grouped_conv_bwd_weight/run_grouped_conv_bwd_weight_example.inc
View file @ 2a09df0f
......@@ -72,11 +72,11 @@ bool run_grouped_conv_bwd_weight(const ExecutionConfig& config,
// init to 0
wei_device_buf.SetZero();
std::array<ck::index_t, NDimSpatial> input_spatial_lengths{};
std::array<ck::index_t, NDimSpatial> filter_spatial_lengths{};
std::array<ck::index_t, NDimSpatial> output_spatial_lengths{};
std::array<ck::index_t, NDimSpatial + 3> input_lengths{};
std::array<ck::index_t, NDimSpatial + 3> input_strides{};
std::array<ck::index_t, NDimSpatial + 3> filter_lengths{};
std::array<ck::index_t, NDimSpatial + 3> weights_strides{};
std::array<ck::index_t, NDimSpatial + 3> output_lengths{};
std::array<ck::index_t, NDimSpatial + 3> output_strides{};
std::array<ck::index_t, NDimSpatial> conv_filter_strides{};
std::array<ck::index_t, NDimSpatial> conv_filter_dilations{};
......@@ -85,11 +85,11 @@ bool run_grouped_conv_bwd_weight(const ExecutionConfig& config,
auto range_copy = [](const auto& from, auto to) { std::copy(begin(from), end(from), to); };
range_copy(conv_param.input_spatial_lengths_, begin(input_spatial_lengths));
range_copy(conv_param.filter_spatial_lengths_, begin(filter_spatial_lengths));
range_copy(conv_param.output_spatial_lengths_, begin(output_spatial_lengths));
range_copy(in_g_n_c_wis_desc.GetLengths(), begin(input_spatial_lengths));
range_copy(in_g_n_c_wis_desc.GetStrides(), begin(input_strides));
range_copy(wei_g_k_c_xs_desc.GetLengths(), begin(filter_spatial_lengths));
range_copy(wei_g_k_c_xs_desc.GetStrides(), begin(weights_strides));
range_copy(out_g_n_k_wos_desc.GetLengths(), begin(output_spatial_lengths));
range_copy(out_g_n_k_wos_desc.GetStrides(), begin(output_strides));
range_copy(conv_param.conv_filter_strides_, begin(conv_filter_strides));
range_copy(conv_param.conv_filter_dilations_, begin(conv_filter_dilations));
......@@ -102,15 +102,11 @@ bool run_grouped_conv_bwd_weight(const ExecutionConfig& config,
auto argument = conv.MakeArgument(static_cast<InDataType*>(in_device_buf.GetDeviceBuffer()),
static_cast<WeiDataType*>(wei_device_buf.GetDeviceBuffer()),
static_cast<OutDataType*>(out_device_buf.GetDeviceBuffer()),
conv_param.G_,
conv_param.N_,
conv_param.K_,
conv_param.C_,
input_spatial_lengths,
filter_spatial_lengths,
output_spatial_lengths,
input_lengths,
input_strides,
filter_lengths,
weights_strides,
output_lengths,
output_strides,
conv_filter_strides,
conv_filter_dilations,
......
include/ck/tensor_operation/gpu/device/device_grouped_conv_bwd_weight.hpp
View file @ 2a09df0f
......@@ -27,16 +27,12 @@ struct DeviceGroupedConvBwdWeight : public BaseOperator
MakeArgumentPointer(const void* p_in,
void* p_wei,
const void* p_out,
const ck::index_t G,
const ck::index_t N,
const ck::index_t K,
const ck::index_t C,
const std::array<ck::index_t, NDimSpatial>& input_spatial_lengths,
const std::array<ck::index_t, NDimSpatial>& filter_spatial_lengths,
const std::array<ck::index_t, NDimSpatial>& output_spatial_lengths,
const std::array<ck::index_t, NDimSpatial + 3>& input_strides,
const std::array<ck::index_t, NDimSpatial + 3>& weights_strides,
const std::array<ck::index_t, NDimSpatial + 3>& output_strides,
const std::array<index_t, NDimSpatial + 3>& a_g_n_c_wis_lengths, // input
const std::array<index_t, NDimSpatial + 3>& a_g_n_c_wis_strides,
const std::array<index_t, NDimSpatial + 3>& b_g_k_c_xs_lengths, // weight
const std::array<index_t, NDimSpatial + 3>& b_g_k_c_xs_strides,
const std::array<index_t, NDimSpatial + 3>& e_g_n_k_wos_lengths, // output
const std::array<index_t, NDimSpatial + 3>& e_g_n_k_wos_strides,
const std::array<ck::index_t, NDimSpatial>& conv_filter_strides,
const std::array<ck::index_t, NDimSpatial>& conv_filter_dilations,
const std::array<ck::index_t, NDimSpatial>& input_left_pads,
......
include/ck/tensor_operation/gpu/device/impl/device_grouped_conv_bwd_weight_gnwc_gkxc_gnwk_dl.hpp
View file @ 2a09df0f
......@@ -784,16 +784,12 @@ struct DeviceGroupedConvBwdWeightGnwcGkxcGnwk_Dl
Argument(const InDataType* p_in_grid,
WeiDataType* p_wei_grid,
const OutDataType* p_out_grid,
const ck::index_t G,
const ck::index_t N,
const ck::index_t K,
const ck::index_t C,
const std::array<ck::index_t, NDimSpatial>& input_spatial_lengths,
const std::array<ck::index_t, NDimSpatial>& filter_spatial_lengths,
const std::array<ck::index_t, NDimSpatial>& output_spatial_lengths,
const std::array<ck::index_t, NDimSpatial + 3>& /*input_strides*/,
const std::array<ck::index_t, NDimSpatial + 3>& /*weights_strides*/,
const std::array<ck::index_t, NDimSpatial + 3>& /*output_strides*/,
const std::array<index_t, NDimSpatial + 3>& a_g_n_c_wis_lengths, // input
const std::array<index_t, NDimSpatial + 3>& /*a_g_n_c_wis_strides*/,
const std::array<index_t, NDimSpatial + 3>& b_g_k_c_xs_lengths, // weight
const std::array<index_t, NDimSpatial + 3>& /*b_g_k_c_xs_strides*/,
const std::array<index_t, NDimSpatial + 3>& e_g_n_k_wos_lengths, // output
const std::array<index_t, NDimSpatial + 3>& /*e_g_n_k_wos_strides*/,
const std::array<ck::index_t, NDimSpatial>& conv_filter_strides,
const std::array<ck::index_t, NDimSpatial>& conv_filter_dilations,
const std::array<ck::index_t, NDimSpatial>& input_left_pads,
......@@ -813,27 +809,38 @@ struct DeviceGroupedConvBwdWeightGnwcGkxcGnwk_Dl
a_element_op_{out_element_op},
b_element_op_{wei_element_op},
c_element_op_{in_element_op},
Conv_G_{G},
Conv_N_{N},
Conv_K_{K},
Conv_C_{C},
input_spatial_lengths_{input_spatial_lengths},
filter_spatial_lengths_{filter_spatial_lengths},
output_spatial_lengths_{output_spatial_lengths},
Conv_G_{a_g_n_c_wis_lengths[0]},
Conv_N_{a_g_n_c_wis_lengths[1]},
Conv_K_{b_g_k_c_xs_lengths[1]},
Conv_C_{a_g_n_c_wis_lengths[2]},
input_spatial_lengths_{},
filter_spatial_lengths_{},
output_spatial_lengths_{},
conv_filter_strides_{conv_filter_strides},
conv_filter_dilations_{conv_filter_dilations},
input_left_pads_{input_left_pads},
input_right_pads_{input_right_pads},
k_batch_{split_k}
{
constexpr index_t spatial_offset = 3;
std::copy(begin(a_g_n_c_wis_lengths) + spatial_offset,
end(a_g_n_c_wis_lengths),
begin(input_spatial_lengths_));
std::copy(begin(b_g_k_c_xs_lengths) + spatial_offset,
end(b_g_k_c_xs_lengths),
begin(filter_spatial_lengths_));
std::copy(begin(e_g_n_k_wos_lengths) + spatial_offset,
end(e_g_n_k_wos_lengths),
begin(output_spatial_lengths_));
const auto descs =
DeviceOp::MakeABCGridDescriptor_A_K0_M_K1_B_K0_N_K1_C_M_N<NDimSpatial>(
N,
K,
C,
input_spatial_lengths,
filter_spatial_lengths,
output_spatial_lengths,
Conv_N_,
Conv_K_,
Conv_C_,
input_spatial_lengths_,
filter_spatial_lengths_,
output_spatial_lengths_,
conv_filter_strides,
conv_filter_dilations,
input_left_pads,
......@@ -857,19 +864,19 @@ struct DeviceGroupedConvBwdWeightGnwcGkxcGnwk_Dl
// A/B/C Batch Stride
compute_ptr_offset_of_batch_.BatchStrideA_ =
N * K *
Conv_N_ * Conv_K_ *
std::accumulate(begin(output_spatial_lengths),
end(output_spatial_lengths),
index_t{1},
std::multiplies<>{});
compute_ptr_offset_of_batch_.BatchStrideB_ =
N * C *
Conv_N_ * Conv_C_ *
std::accumulate(begin(input_spatial_lengths),
end(input_spatial_lengths),
index_t{1},
std::multiplies<>{});
compute_ptr_offset_of_batch_.BatchStrideC_ =
K * C *
Conv_K_ * Conv_C_ *
std::accumulate(begin(filter_spatial_lengths),
end(filter_spatial_lengths),
index_t{1},
......@@ -905,9 +912,9 @@ struct DeviceGroupedConvBwdWeightGnwcGkxcGnwk_Dl
const index_t Conv_K_;
const index_t Conv_C_;
const std::array<ck::index_t, NDimSpatial>& input_spatial_lengths_;
const std::array<ck::index_t, NDimSpatial>& filter_spatial_lengths_;
const std::array<ck::index_t, NDimSpatial>& output_spatial_lengths_;
std::array<ck::index_t, NDimSpatial> input_spatial_lengths_;
std::array<ck::index_t, NDimSpatial> filter_spatial_lengths_;
std::array<ck::index_t, NDimSpatial> output_spatial_lengths_;
const std::array<ck::index_t, NDimSpatial>& conv_filter_strides_;
const std::array<ck::index_t, NDimSpatial>& conv_filter_dilations_;
const std::array<ck::index_t, NDimSpatial>& input_left_pads_;
......@@ -1111,41 +1118,34 @@ struct DeviceGroupedConvBwdWeightGnwcGkxcGnwk_Dl
return IsSupportedArgument(*dynamic_cast<const Argument*>(p_arg));
}
static auto MakeArgument(const InDataType* p_in_grid,
WeiDataType* p_wei_grid,
const OutDataType* p_out_grid,
const ck::index_t G,
const ck::index_t N,
const ck::index_t K,
const ck::index_t C,
const std::array<ck::index_t, NDimSpatial>& input_spatial_lengths,
const std::array<ck::index_t, NDimSpatial>& filter_spatial_lengths,
const std::array<ck::index_t, NDimSpatial>& output_spatial_lengths,
const std::array<ck::index_t, NDimSpatial + 3>& input_strides,
const std::array<ck::index_t, NDimSpatial + 3>& weights_strides,
const std::array<ck::index_t, NDimSpatial + 3>& output_strides,
const std::array<ck::index_t, NDimSpatial>& conv_filter_strides,
const std::array<ck::index_t, NDimSpatial>& conv_filter_dilations,
const std::array<ck::index_t, NDimSpatial>& input_left_pads,
const std::array<ck::index_t, NDimSpatial>& input_right_pads,
InElementwiseOperation in_element_op,
WeiElementwiseOperation wei_element_op,
OutElementwiseOperation out_element_op,
ck::index_t split_k)
static auto
MakeArgument(const InDataType* p_in_grid,
WeiDataType* p_wei_grid,
const OutDataType* p_out_grid,
const std::array<index_t, NDimSpatial + 3>& a_g_n_c_wis_lengths, // input
const std::array<index_t, NDimSpatial + 3>& a_g_n_c_wis_strides,
const std::array<index_t, NDimSpatial + 3>& b_g_k_c_xs_lengths, // weight
const std::array<index_t, NDimSpatial + 3>& b_g_k_c_xs_strides,
const std::array<index_t, NDimSpatial + 3>& e_g_n_k_wos_lengths, // output
const std::array<index_t, NDimSpatial + 3>& e_g_n_k_wos_strides,
const std::array<ck::index_t, NDimSpatial>& conv_filter_strides,
const std::array<ck::index_t, NDimSpatial>& conv_filter_dilations,
const std::array<ck::index_t, NDimSpatial>& input_left_pads,
const std::array<ck::index_t, NDimSpatial>& input_right_pads,
InElementwiseOperation in_element_op,
WeiElementwiseOperation wei_element_op,
OutElementwiseOperation out_element_op,
ck::index_t split_k)
{
return Argument{p_in_grid,
p_wei_grid,
p_out_grid,
G,
N,
K,
C,
input_spatial_lengths,
filter_spatial_lengths,
output_spatial_lengths,
input_strides,
weights_strides,
output_strides,
a_g_n_c_wis_lengths, // input
a_g_n_c_wis_strides,
b_g_k_c_xs_lengths, // weight
b_g_k_c_xs_strides,
e_g_n_k_wos_lengths, // output
e_g_n_k_wos_strides,
conv_filter_strides,
conv_filter_dilations,
input_left_pads,
......@@ -1162,16 +1162,12 @@ struct DeviceGroupedConvBwdWeightGnwcGkxcGnwk_Dl
MakeArgumentPointer(const void* p_in_grid,
void* p_wei_grid,
const void* p_out_grid,
const ck::index_t G,
const ck::index_t N,
const ck::index_t K,
const ck::index_t C,
const std::array<ck::index_t, NDimSpatial>& input_spatial_lengths,
const std::array<ck::index_t, NDimSpatial>& filter_spatial_lengths,
const std::array<ck::index_t, NDimSpatial>& output_spatial_lengths,
const std::array<ck::index_t, NDimSpatial + 3>& input_strides,
const std::array<ck::index_t, NDimSpatial + 3>& weights_strides,
const std::array<ck::index_t, NDimSpatial + 3>& output_strides,
const std::array<index_t, NDimSpatial + 3>& a_g_n_c_wis_lengths, // input
const std::array<index_t, NDimSpatial + 3>& a_g_n_c_wis_strides,
const std::array<index_t, NDimSpatial + 3>& b_g_k_c_xs_lengths, // weight
const std::array<index_t, NDimSpatial + 3>& b_g_k_c_xs_strides,
const std::array<index_t, NDimSpatial + 3>& e_g_n_k_wos_lengths, // output
const std::array<index_t, NDimSpatial + 3>& e_g_n_k_wos_strides,
const std::array<ck::index_t, NDimSpatial>& conv_filter_strides,
const std::array<ck::index_t, NDimSpatial>& conv_filter_dilations,
const std::array<ck::index_t, NDimSpatial>& input_left_pads,
......@@ -1184,16 +1180,12 @@ struct DeviceGroupedConvBwdWeightGnwcGkxcGnwk_Dl
return std::make_unique<Argument>(static_cast<const InDataType*>(p_in_grid),
static_cast<WeiDataType*>(p_wei_grid),
static_cast<const OutDataType*>(p_out_grid),
G,
N,
K,
C,
input_spatial_lengths,
filter_spatial_lengths,
output_spatial_lengths,
input_strides,
weights_strides,
output_strides,
a_g_n_c_wis_lengths, // input
a_g_n_c_wis_strides,
b_g_k_c_xs_lengths, // weight
b_g_k_c_xs_strides,
e_g_n_k_wos_lengths, // output
e_g_n_k_wos_strides,
conv_filter_strides,
conv_filter_dilations,
input_left_pads,
......
include/ck/tensor_operation/gpu/device/impl/device_grouped_conv_bwd_weight_xdl_cshuffle.hpp
View file @ 2a09df0f
......@@ -1011,16 +1011,12 @@ struct DeviceGroupedConvBwdWeight_Xdl_CShuffle
Argument(const InDataType* p_in_grid,
WeiDataType* p_wei_grid,
const OutDataType* p_out_grid,
const ck::index_t G,
const ck::index_t N,
const ck::index_t K,
const ck::index_t C,
const std::array<ck::index_t, NDimSpatial>& input_spatial_lengths,
const std::array<ck::index_t, NDimSpatial>& filter_spatial_lengths,
const std::array<ck::index_t, NDimSpatial>& output_spatial_lengths,
const std::array<ck::index_t, NDimSpatial + 3>& input_strides,
const std::array<ck::index_t, NDimSpatial + 3>& weights_strides,
const std::array<ck::index_t, NDimSpatial + 3>& output_strides,
const std::array<index_t, NDimSpatial + 3>& a_g_n_c_wis_lengths, // input
const std::array<index_t, NDimSpatial + 3>& a_g_n_c_wis_strides,
const std::array<index_t, NDimSpatial + 3>& b_g_k_c_xs_lengths, // weight
const std::array<index_t, NDimSpatial + 3>& b_g_k_c_xs_strides,
const std::array<index_t, NDimSpatial + 3>& e_g_n_k_wos_lengths, // output
const std::array<index_t, NDimSpatial + 3>& e_g_n_k_wos_strides,
const std::array<ck::index_t, NDimSpatial>& conv_filter_strides,
const std::array<ck::index_t, NDimSpatial>& conv_filter_dilations,
const std::array<ck::index_t, NDimSpatial>& input_left_pads,
......@@ -1045,28 +1041,40 @@ struct DeviceGroupedConvBwdWeight_Xdl_CShuffle
a_element_op_{out_element_op},
b_element_op_{in_element_op},
c_element_op_{wei_element_op},
Conv_G_{G},
Conv_N_{N},
Conv_K_{K},
Conv_C_{C},
output_spatial_lengths_{output_spatial_lengths},
filter_spatial_lengths_{filter_spatial_lengths},
Conv_G_{a_g_n_c_wis_lengths[0]},
Conv_N_{a_g_n_c_wis_lengths[1]},
Conv_K_{b_g_k_c_xs_lengths[1]},
Conv_C_{a_g_n_c_wis_lengths[2]},
input_spatial_lengths_{},
filter_spatial_lengths_{},
output_spatial_lengths_{},
conv_filter_strides_{conv_filter_strides},
input_left_pads_{input_left_pads},
input_right_pads_{input_right_pads},
k_batch_{split_k}
{
constexpr index_t spatial_offset = 3;
std::copy(begin(a_g_n_c_wis_lengths) + spatial_offset,
end(a_g_n_c_wis_lengths),
begin(input_spatial_lengths_));
std::copy(begin(b_g_k_c_xs_lengths) + spatial_offset,
end(b_g_k_c_xs_lengths),
begin(filter_spatial_lengths_));
std::copy(begin(e_g_n_k_wos_lengths) + spatial_offset,
end(e_g_n_k_wos_lengths),
begin(output_spatial_lengths_));
const auto descs =
DeviceOp::MakeABCGridDescriptor_A_K0_M_K1_B_K0_N_K1_C_M_N<NDimSpatial>(
N,
K,
C,
input_spatial_lengths,
filter_spatial_lengths,
output_spatial_lengths,
input_strides,
weights_strides,
output_strides,
Conv_N_,
Conv_K_,
Conv_C_,
input_spatial_lengths_,
filter_spatial_lengths_,
output_spatial_lengths_,
a_g_n_c_wis_strides,
b_g_k_c_xs_strides,
e_g_n_k_wos_strides,
conv_filter_strides,
conv_filter_dilations,
input_left_pads,
......@@ -1081,12 +1089,12 @@ struct DeviceGroupedConvBwdWeight_Xdl_CShuffle
GridwiseGemm::MakeCBlockClusterAdaptor(c_grid_desc_m_n_, M01, N01, k_batch_);
// A/B/C Batch Stride
compute_ptr_offset_of_batch_.BatchStrideA_ = output_strides[0];
compute_ptr_offset_of_batch_.BatchStrideB_ = input_strides[0];
compute_ptr_offset_of_batch_.BatchStrideA_ = e_g_n_k_wos_strides[0];
compute_ptr_offset_of_batch_.BatchStrideB_ = a_g_n_c_wis_strides[0];
compute_ptr_offset_of_batch_.BatchStrideC_ =
K * C *
std::accumulate(begin(filter_spatial_lengths),
end(filter_spatial_lengths),
Conv_K_ * Conv_C_ *
std::accumulate(begin(filter_spatial_lengths_),
end(filter_spatial_lengths_),
index_t{1},
std::multiplies<>{});
......@@ -1125,8 +1133,9 @@ struct DeviceGroupedConvBwdWeight_Xdl_CShuffle
const index_t Conv_N_;
const index_t Conv_K_;
const index_t Conv_C_;
const std::array<ck::index_t, NDimSpatial>& output_spatial_lengths_;
const std::array<ck::index_t, NDimSpatial>& filter_spatial_lengths_;
std::array<ck::index_t, NDimSpatial> input_spatial_lengths_;
std::array<ck::index_t, NDimSpatial> filter_spatial_lengths_;
std::array<ck::index_t, NDimSpatial> output_spatial_lengths_;
const std::array<ck::index_t, NDimSpatial>& conv_filter_strides_;
const std::array<ck::index_t, NDimSpatial>& input_left_pads_;
const std::array<ck::index_t, NDimSpatial>& input_right_pads_;
......@@ -1301,41 +1310,34 @@ struct DeviceGroupedConvBwdWeight_Xdl_CShuffle
return IsSupportedArgument(*dynamic_cast<const Argument*>(p_arg));
}
static auto MakeArgument(const InDataType* p_in_grid,
WeiDataType* p_wei_grid,
const OutDataType* p_out_grid,
const ck::index_t G,
const ck::index_t N,
const ck::index_t K,
const ck::index_t C,
const std::array<ck::index_t, NDimSpatial>& input_spatial_lengths,
const std::array<ck::index_t, NDimSpatial>& filter_spatial_lengths,
const std::array<ck::index_t, NDimSpatial>& output_spatial_lengths,
const std::array<ck::index_t, NDimSpatial + 3>& input_strides,
const std::array<ck::index_t, NDimSpatial + 3>& weights_strides,
const std::array<ck::index_t, NDimSpatial + 3>& output_strides,
const std::array<ck::index_t, NDimSpatial>& conv_filter_strides,
const std::array<ck::index_t, NDimSpatial>& conv_filter_dilations,
const std::array<ck::index_t, NDimSpatial>& input_left_pads,
const std::array<ck::index_t, NDimSpatial>& input_right_pads,
InElementwiseOperation in_element_op,
WeiElementwiseOperation wei_element_op,
OutElementwiseOperation out_element_op,
const ck::index_t split_k)
static auto
MakeArgument(const InDataType* p_in_grid,
WeiDataType* p_wei_grid,
const OutDataType* p_out_grid,
const std::array<index_t, NDimSpatial + 3>& a_g_n_c_wis_lengths, // input
const std::array<index_t, NDimSpatial + 3>& a_g_n_c_wis_strides,
const std::array<index_t, NDimSpatial + 3>& b_g_k_c_xs_lengths, // weight
const std::array<index_t, NDimSpatial + 3>& b_g_k_c_xs_strides,
const std::array<index_t, NDimSpatial + 3>& e_g_n_k_wos_lengths, // output
const std::array<index_t, NDimSpatial + 3>& e_g_n_k_wos_strides,
const std::array<ck::index_t, NDimSpatial>& conv_filter_strides,
const std::array<ck::index_t, NDimSpatial>& conv_filter_dilations,
const std::array<ck::index_t, NDimSpatial>& input_left_pads,
const std::array<ck::index_t, NDimSpatial>& input_right_pads,
InElementwiseOperation in_element_op,
WeiElementwiseOperation wei_element_op,
OutElementwiseOperation out_element_op,
const ck::index_t split_k)
{
return Argument{p_in_grid,
p_wei_grid,
p_out_grid,
G,
N,
K,
C,
input_spatial_lengths,
filter_spatial_lengths,
output_spatial_lengths,
input_strides,
weights_strides,
output_strides,
a_g_n_c_wis_lengths, // input
a_g_n_c_wis_strides,
b_g_k_c_xs_lengths, // weight
b_g_k_c_xs_strides,
e_g_n_k_wos_lengths, // output
e_g_n_k_wos_strides,
conv_filter_strides,
conv_filter_dilations,
input_left_pads,
......@@ -1354,16 +1356,12 @@ struct DeviceGroupedConvBwdWeight_Xdl_CShuffle
MakeArgumentPointer(const void* p_in_grid,
void* p_wei_grid,
const void* p_out_grid,
const ck::index_t G,
const ck::index_t N,
const ck::index_t K,
const ck::index_t C,
const std::array<ck::index_t, NDimSpatial>& input_spatial_lengths,
const std::array<ck::index_t, NDimSpatial>& filter_spatial_lengths,
const std::array<ck::index_t, NDimSpatial>& output_spatial_lengths,
const std::array<ck::index_t, NDimSpatial + 3>& input_strides,
const std::array<ck::index_t, NDimSpatial + 3>& weights_strides,
const std::array<ck::index_t, NDimSpatial + 3>& output_strides,
const std::array<index_t, NDimSpatial + 3>& a_g_n_c_wis_lengths, // input
const std::array<index_t, NDimSpatial + 3>& a_g_n_c_wis_strides,
const std::array<index_t, NDimSpatial + 3>& b_g_k_c_xs_lengths, // weight
const std::array<index_t, NDimSpatial + 3>& b_g_k_c_xs_strides,
const std::array<index_t, NDimSpatial + 3>& e_g_n_k_wos_lengths, // output
const std::array<index_t, NDimSpatial + 3>& e_g_n_k_wos_strides,
const std::array<ck::index_t, NDimSpatial>& conv_filter_strides,
const std::array<ck::index_t, NDimSpatial>& conv_filter_dilations,
const std::array<ck::index_t, NDimSpatial>& input_left_pads,
......@@ -1376,16 +1374,12 @@ struct DeviceGroupedConvBwdWeight_Xdl_CShuffle
return std::make_unique<Argument>(static_cast<const InDataType*>(p_in_grid),
static_cast<WeiDataType*>(p_wei_grid),
static_cast<const OutDataType*>(p_out_grid),
G,
N,
K,
C,
input_spatial_lengths,
filter_spatial_lengths,
output_spatial_lengths,
input_strides,
weights_strides,
output_strides,
a_g_n_c_wis_lengths, // input
a_g_n_c_wis_strides,
b_g_k_c_xs_lengths, // weight
b_g_k_c_xs_strides,
e_g_n_k_wos_lengths, // output
e_g_n_k_wos_strides,
conv_filter_strides,
conv_filter_dilations,
input_left_pads,
......
profiler/include/profiler/profile_grouped_conv_bwd_weight_impl.hpp
View file @ 2a09df0f
......@@ -136,9 +136,9 @@ bool profile_grouped_conv_bwd_weight_impl(int do_verification,
// profile device Conv instances
bool all_pass = true;
std::array<ck::index_t, NDimSpatial> input_spatial_lengths{};
std::array<ck::index_t, NDimSpatial> filter_spatial_lengths{};
std::array<ck::index_t, NDimSpatial> output_spatial_lengths{};
std::array<ck::index_t, NDimSpatial + 3> input_lengths{};
std::array<ck::index_t, NDimSpatial + 3> filter_lengths{};
std::array<ck::index_t, NDimSpatial + 3> output_lengths{};
std::array<ck::index_t, NDimSpatial + 3> input_strides{};
std::array<ck::index_t, NDimSpatial + 3> weights_strides{};
std::array<ck::index_t, NDimSpatial + 3> output_strides{};
......@@ -149,11 +149,11 @@ bool profile_grouped_conv_bwd_weight_impl(int do_verification,
auto range_copy = [](const auto& from, auto to) { std::copy(begin(from), end(from), to); };
range_copy(conv_param.input_spatial_lengths_, begin(input_spatial_lengths));
range_copy(conv_param.filter_spatial_lengths_, begin(filter_spatial_lengths));
range_copy(conv_param.output_spatial_lengths_, begin(output_spatial_lengths));
range_copy(in_g_n_c_wis_desc.GetLengths(), begin(input_lengths));
range_copy(in_g_n_c_wis_desc.GetStrides(), begin(input_strides));
range_copy(wei_g_k_c_xs_desc.GetLengths(), begin(filter_lengths));
range_copy(wei_g_k_c_xs_desc.GetStrides(), begin(weights_strides));
range_copy(out_g_n_k_wos_desc.GetLengths(), begin(output_lengths));
range_copy(out_g_n_k_wos_desc.GetStrides(), begin(output_strides));
range_copy(conv_param.conv_filter_strides_, begin(conv_filter_strides));
range_copy(conv_param.conv_filter_dilations_, begin(conv_filter_dilations));
......@@ -166,15 +166,11 @@ bool profile_grouped_conv_bwd_weight_impl(int do_verification,
op_ptr->MakeArgumentPointer(static_cast<InDataType*>(in_device_buf.GetDeviceBuffer()),
static_cast<WeiDataType*>(wei_device_buf.GetDeviceBuffer()),
static_cast<OutDataType*>(out_device_buf.GetDeviceBuffer()),
conv_param.G_,
conv_param.N_,
conv_param.K_,
conv_param.C_,
input_spatial_lengths,
filter_spatial_lengths,
output_spatial_lengths,
input_lengths,
input_strides,
filter_lengths,
weights_strides,
output_lengths,
output_strides,
conv_filter_strides,
conv_filter_dilations,
......
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