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Add client example of grouped conv2d forward (data type: fp16) (#488)

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* Rename example folder for GroupedConvFwdMultipleD

* Unify example codes

* Change target names

* Add fp16 example for multiple d instance

* Re-format common.hpp

* Add interface 'DeviceGroupedConvFwd'

* Use simpler interface

* Move common conv params out

* Rename conv fwd client example folder

* Add missing include directive

* Update grouped conv instance implementations

* Simplify ckProfiler (grouped conv forward)

* Use GroupedConvFwd to implement client example

* Use greater groupe count in example

* Add custom target to group examples

* Add extra tag param to instance factory function

* Use tag to differentiate factory functions

* Add missing tag argument for factory function

* Remove inheritance relationship

* Remove no-longer used include directive

* Add license in front of file
This commit is contained in:
Po Yen Chen
2022-11-10 09:01:58 +08:00
committed by GitHub
parent 38470e0497
commit f49803101e
26 changed files with 1078 additions and 2533 deletions
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43
include/ck/tensor_operation/gpu/device/device_grouped_conv_fwd.hpp
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@@ -14,39 +14,38 @@ namespace device {
// Convolution Forward:
// input : input image A[G, N, C, Hi, Wi],
// input : weight B[G, K, C, Y, X],
// input : D0[G, N, K, Ho, Wo], D1[G, N, K, Ho, Wo], ...
// output : output image E[G, N, K, Ho, Wo]
// C = a_op(A) * b_op(B)
// E = cde_op(C, D0, D1, ...)
template <index_t NDimSpatial,
typename ALayout,
typename BLayout,
typename CLayout,
typename ADataType,
typename BDataType,
typename CDataType,
typename AElementwiseOperation,
typename BElementwiseOperation,
typename CElementwiseOperation>
typename InLayout,
typename WeiLayout,
typename OutLayout,
typename InDataType,
typename WeiDataType,
typename OutDataType,
typename InElementwiseOperation,
typename WeiElementwiseOperation,
typename OutElementwiseOperation>
struct DeviceGroupedConvFwd : public BaseOperator
{
virtual std::unique_ptr<BaseArgument>
MakeArgumentPointer(const void* p_a, // input image
const void* p_b, // weight
void* p_c, // output image
const std::array<index_t, NDimSpatial + 3>& a_g_n_c_wis_lengths,
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,
const std::array<index_t, NDimSpatial + 3>& b_g_k_c_xs_strides,
const std::array<index_t, NDimSpatial + 3>& c_g_n_k_wos_lengths,
const std::array<index_t, NDimSpatial + 3>& c_g_n_k_wos_strides,
MakeArgumentPointer(const void* p_in, // input image
const void* p_wei, // weight
void* p_out, // output image
const std::array<index_t, NDimSpatial + 3>& in_g_n_c_wis_lengths,
const std::array<index_t, NDimSpatial + 3>& in_g_n_c_wis_strides,
const std::array<index_t, NDimSpatial + 3>& wei_g_k_c_xs_lengths,
const std::array<index_t, NDimSpatial + 3>& wei_g_k_c_xs_strides,
const std::array<index_t, NDimSpatial + 3>& out_g_n_k_wos_lengths,
const std::array<index_t, NDimSpatial + 3>& out_g_n_k_wos_strides,
const std::array<index_t, NDimSpatial>& conv_filter_strides,
const std::array<index_t, NDimSpatial>& conv_filter_dilations,
const std::array<index_t, NDimSpatial>& input_left_pads,
const std::array<index_t, NDimSpatial>& input_right_pads,
const AElementwiseOperation& a_element_op,
const BElementwiseOperation& b_element_op,
const CElementwiseOperation& c_element_op) = 0;
const InElementwiseOperation& in_element_op,
const WeiElementwiseOperation& wei_element_op,
const OutElementwiseOperation& out_element_op) = 0;
virtual std::unique_ptr<BaseInvoker> MakeInvokerPointer() = 0;
};