Add pool3d f16 example

example/48_pool3d_fwd/CMakeLists.txt

+add_example_executable(example_pool3d_fwd_fp16 pool3d_fwd_fp16.cpp)
+

example/48_pool3d_fwd/pool3d_fwd_common.hpp

+// SPDX-License-Identifier: MIT
+// Copyright (c) 2018-2022, Advanced Micro Devices, Inc. All rights reserved.
+#pragma once
+
+#include <iostream>
+
+#include "ck/ck.hpp"
+#include "ck/utility/reduction_enums.hpp"
+#include "ck/utility/reduction_functions_accumulate.hpp"
+#include "ck/tensor_operation/gpu/device/reduction_operator_mapping.hpp"
+#include "ck/tensor_operation/gpu/device/impl/device_pool3d_fwd_ndhwc_ndhwc.hpp"
+#include "ck/tensor_operation/gpu/element/element_wise_operation.hpp"
+
+#include "ck/library/utility/check_err.hpp"
+#include "ck/library/utility/device_memory.hpp"
+#include "ck/library/utility/host_tensor.hpp"
+#include "ck/library/utility/host_tensor_generator.hpp"
+#include "ck/library/utility/literals.hpp"
+
+template <typename InDataType,
+          typename OutDataType,
+          typename AccDataType,
+          typename IndexDataType,
+          ck::ReduceTensorOp ReduceOpId,
+          bool PropagateNan,
+          bool OutputIndex>
+static void pool3d_host_verify(const Tensor<InDataType>& in,
+                               Tensor<OutDataType>& out,
+                               Tensor<IndexDataType>& out_indices,
+                               const std::array<ck::index_t, 3>& window_spatial_lengths,
+                               const std::array<ck::index_t, 3>& window_strides,
+                               const std::array<ck::index_t, 3>& in_left_pads,
+                               const std::array<ck::index_t, 3>& /*in_right_pads*/)
+{
+    const int32_t reduceLength = window_spatial_lengths[0] * window_spatial_lengths[1];
+
+    using ReduceOperation = typename ck::reduce_binary_operator<ReduceOpId>::opType;
+
+    auto elementwise_ops =
+        ck::reduce_unary_operator<ReduceOpId, true, true>::GetElementwiseOperator(reduceLength);
+
+    auto in_elementwise_op  = std::get<0>(elementwise_ops);
+    auto acc_elementwise_op = std::get<1>(elementwise_ops);
+
+    if constexpr(!OutputIndex)
+    {
+        using Accumulation =
+            ck::detail::AccumulateWithNanCheck<PropagateNan, ReduceOperation, AccDataType>;
+
+        auto f_ncdhw = [&](auto n, auto c, auto do_, auto ho, auto wo) {
+            auto accuVal = ReduceOperation::template GetIdentityValue<AccDataType>();
+
+            for(ck::index_t z = 0; z < window_spatial_lengths[0]; ++z)
+            {
+                ck::index_t di = do_ * window_strides[0] + z - in_left_pads[0];
+                for(ck::index_t y = 0; y < window_spatial_lengths[1]; ++y)
+                {
+                    ck::index_t hi = ho * window_strides[1] + y - in_left_pads[1];
+                    for(ck::index_t x = 0; x < window_spatial_lengths[2]; ++x)
+                    {
+                        ck::index_t wi = wo * window_strides[2] + x - in_left_pads[2];
+                        if(di >= 0 && di < static_cast<ck::index_t>(in.mDesc.GetLengths()[2]) &&
+                           hi >= 0 && hi < static_cast<ck::index_t>(in.mDesc.GetLengths()[3]) &&
+                           wi >= 0 && wi < static_cast<ck::index_t>(in.mDesc.GetLengths()[4]))
+                        {
+                            AccDataType currVal = static_cast<AccDataType>(in(n, c, di, hi, wi));
+
+                            in_elementwise_op(currVal, currVal);
+
+                            Accumulation::Calculate(accuVal, currVal);
+                        }
+                    }
+                }
+            }
+
+            acc_elementwise_op(accuVal, accuVal);
+            out(n, c, do_, ho, wo) = accuVal;
+        };
+
+        make_ParallelTensorFunctor(f_ncdhw,
+                                   out.mDesc.GetLengths()[0],
+                                   out.mDesc.GetLengths()[1],
+                                   out.mDesc.GetLengths()[2],
+                                   out.mDesc.GetLengths()[3],
+                                   out.mDesc.GetLengths()[4])(std::thread::hardware_concurrency());
+    }
+    else
+    {
+        using Accumulation = ck::detail::AccumulateWithIndexAndNanCheck<PropagateNan,
+                                                                        ReduceOperation,
+                                                                        AccDataType,
+                                                                        IndexDataType>;
+
+        auto f_ncdhw = [&](auto n, auto c, auto do_, auto ho, auto wo) {
+            auto accuVal            = ReduceOperation::template GetIdentityValue<AccDataType>();
+            IndexDataType accuIndex = 0;
+
+            for(ck::index_t z = 0; z < window_spatial_lengths[0]; ++z)
+            {
+                ck::index_t di = do_ * window_strides[0] + z - in_left_pads[0];
+                for(ck::index_t y = 0; y < window_spatial_lengths[1]; ++y)
+                {
+                    ck::index_t hi = ho * window_strides[1] + y - in_left_pads[1];
+                    for(ck::index_t x = 0; x < window_spatial_lengths[2]; ++x)
+                    {
+                        ck::index_t wi = wo * window_strides[2] + x - in_left_pads[2];
+                        if(di >= 0 && di < static_cast<ck::index_t>(in.mDesc.GetLengths()[2]) &&
+                           hi >= 0 && hi < static_cast<ck::index_t>(in.mDesc.GetLengths()[3]) &&
+                           wi >= 0 && wi < static_cast<ck::index_t>(in.mDesc.GetLengths()[4]))
+                        {
+                            AccDataType currVal = static_cast<AccDataType>(in(n, c, di, hi, wi));
+                            IndexDataType currIndex =
+                                z * window_spatial_lengths[1] * window_spatial_lengths[2] +
+                                y * window_spatial_lengths[2] + x;
+
+                            in_elementwise_op(currVal, currVal);
+
+                            Accumulation::Calculate(accuVal, currVal, accuIndex, currIndex);
+                        }
+                    }
+                }
+            }
+
+            acc_elementwise_op(accuVal, accuVal);
+
+            out(n, c, do_, ho, wo)         = accuVal;
+            out_indices(n, c, do_, ho, wo) = accuIndex;
+        };
+
+        make_ParallelTensorFunctor(f_ncdhw,
+                                   out.mDesc.GetLengths()[0],
+                                   out.mDesc.GetLengths()[1],
+                                   out.mDesc.GetLengths()[2],
+                                   out.mDesc.GetLengths()[3],
+                                   out.mDesc.GetLengths()[4])(std::thread::hardware_concurrency());
+    };
+}
+
+template <typename InDataType,
+          typename OutDataType,
+          typename AccDataType,
+          typename IndexDataType,
+          typename InLayout,
+          typename OutLayout,
+          ck::ReduceTensorOp ReduceOpId,
+          bool PropagateNan,
+          bool OutputIndex>
+bool pool3d_test(bool do_verification,
+                 bool time_kernel,
+                 ck::index_t N,
+                 ck::index_t C,
+                 ck::index_t Z,
+                 ck::index_t Y,
+                 ck::index_t X,
+                 ck::index_t Di,
+                 ck::index_t Hi,
+                 ck::index_t Wi,
+                 ck::index_t window_stride_d,
+                 ck::index_t window_stride_h,
+                 ck::index_t window_stride_w,
+                 ck::index_t in_left_pad_d,
+                 ck::index_t in_left_pad_h,
+                 ck::index_t in_left_pad_w,
+                 ck::index_t in_right_pad_d,
+                 ck::index_t in_right_pad_h,
+                 ck::index_t in_right_pad_w)
+{
+    using DevicePoolFwdInstance =
+        ck::tensor_operation::device::DevicePool3dFwd_Input_N_Di_Hi_Wi_C_Output_N_Do_Ho_Wo_C<
+            InDataType,  // InDataType
+            OutDataType, // OutDataType
+            AccDataType, // AccDataType
+            ReduceOpId,
+            OutputIndex,
+            64, // BlockSize
+            64, // ReduceMThreadClusterSize
+            1,  // ReduceKThreadClusterSize
+            4,  // ReduceMThreadSliceSize
+            1,  // ReduceKThreadSliceSize
+            4>; // InSrcOutDstVectorSize
+
+    const ck::index_t Do = (Di + in_left_pad_d + in_right_pad_d - Z) / window_stride_d + 1;
+    const ck::index_t Ho = (Hi + in_left_pad_h + in_right_pad_h - Y) / window_stride_h + 1;
+    const ck::index_t Wo = (Wi + in_left_pad_w + in_right_pad_w - X) / window_stride_w + 1;
+
+    const std::array<ck::index_t, 3> window_spatial_lengths{{Z, Y, X}};
+    const std::array<ck::index_t, 3> window_strides{
+        {window_stride_d, window_stride_h, window_stride_w}};
+    const std::array<ck::index_t, 3> input_left_pads{{in_left_pad_d, in_left_pad_h, in_left_pad_w}};
+    const std::array<ck::index_t, 3> input_right_pads{
+        {in_right_pad_d, in_right_pad_h, in_right_pad_w}};
+
+    // tensor layout
+    auto f_host_tensor_descriptor = [](std::size_t N_,
+                                       std::size_t C_,
+                                       std::size_t D,
+                                       std::size_t H,
+                                       std::size_t W,
+                                       auto layout) {
+        using namespace ck::literals;
+
+        if constexpr(ck::is_same<decltype(layout), ck::tensor_layout::convolution::NCDHW>::value)
+        {
+            return HostTensorDescriptor({N_, C_, D, H, W},
+                                        {C_ * D * H * W, D * H * W, H * W, W, 1_uz});
+        }
+        else if constexpr(ck::is_same<decltype(layout),
+                                      ck::tensor_layout::convolution::NDHWC>::value)
+        {
+            return HostTensorDescriptor({N_, C_, D, H, W},
+                                        {D * C_ * H * W, 1_uz, C_ * H * W, W * C_, C_});
+        }
+    };
+
+    Tensor<InDataType> in_n_c_di_hi_wi(f_host_tensor_descriptor(N, C, Di, Hi, Wi, InLayout{}));
+    Tensor<OutDataType> out_n_c_do_ho_wo_host(
+        f_host_tensor_descriptor(N, C, Do, Ho, Wo, OutLayout{}));
+    Tensor<IndexDataType> out_indices_n_c_do_ho_wo_host(
+        f_host_tensor_descriptor(N, C, Do, Ho, Wo, OutLayout{}));
+    Tensor<OutDataType> out_n_c_do_ho_wo_device(
+        f_host_tensor_descriptor(N, C, Do, Ho, Wo, OutLayout{}));
+    Tensor<IndexDataType> out_indices_n_c_do_ho_wo_device(
+        f_host_tensor_descriptor(N, C, Do, Ho, Wo, OutLayout{}));
+
+    std::cout << "in_n_c_di_hi_wi: " << in_n_c_di_hi_wi.mDesc << std::endl;
+    std::cout << "out_n_c_do_ho_wo: " << out_n_c_do_ho_wo_host.mDesc << std::endl;
+
+    in_n_c_di_hi_wi.GenerateTensorValue(GeneratorTensor_3<InDataType>{-1.0, 1.0});
+
+    DeviceMem in_device_buf(sizeof(InDataType) * in_n_c_di_hi_wi.mDesc.GetElementSpaceSize());
+    DeviceMem out_device_buf(sizeof(OutDataType) *
+                             out_n_c_do_ho_wo_device.mDesc.GetElementSpaceSize());
+    DeviceMem out_indices_device_buf(sizeof(IndexDataType) *
+                                     out_indices_n_c_do_ho_wo_device.mDesc.GetElementSpaceSize());
+
+    in_device_buf.ToDevice(in_n_c_di_hi_wi.mData.data());
+
+    auto pool         = DevicePoolFwdInstance{};
+    auto invoker_ptr  = pool.MakeInvokerPointer();
+    auto argument_ptr = pool.MakeArgumentPointer(
+        static_cast<InDataType*>(in_device_buf.GetDeviceBuffer()),
+        static_cast<OutDataType*>(out_device_buf.GetDeviceBuffer()),
+        static_cast<IndexDataType*>(out_indices_device_buf.GetDeviceBuffer()),
+        N,
+        C,
+        std::array<ck::index_t, 3>{{Di, Hi, Wi}},
+        std::array<ck::index_t, 3>{{Z, Y, X}},
+        std::array<ck::index_t, 3>{{Do, Ho, Wo}},
+        window_strides,
+        input_left_pads,
+        input_right_pads);
+
+    if(!pool.IsSupportedArgument(argument_ptr.get()))
+    {
+        throw std::runtime_error("wrong! device_op with the specified compilation parameters does "
+                                 "not support this problem");
+    }
+
+    float ave_time = invoker_ptr->Run(argument_ptr.get(), StreamConfig{nullptr, time_kernel});
+    std::cout << "Perf: " << ave_time << std::endl;
+
+    bool pass = true;
+
+    if(do_verification)
+    {
+        pool3d_host_verify<InDataType,
+                           OutDataType,
+                           AccDataType,
+                           IndexDataType,
+                           ReduceOpId,
+                           PropagateNan,
+                           OutputIndex>(in_n_c_di_hi_wi,
+                                        out_n_c_do_ho_wo_host,
+                                        out_indices_n_c_do_ho_wo_host,
+                                        window_spatial_lengths,
+                                        window_strides,
+                                        input_left_pads,
+                                        input_right_pads);
+
+        out_device_buf.FromDevice(out_n_c_do_ho_wo_device.mData.data());
+
+        pass = pass && ck::utils::check_err(out_n_c_do_ho_wo_device, out_n_c_do_ho_wo_host);
+
+        if constexpr(OutputIndex)
+        {
+            out_indices_device_buf.FromDevice(out_indices_n_c_do_ho_wo_device.mData.data());
+
+            pass = pass && ck::utils::check_err(out_indices_n_c_do_ho_wo_device,
+                                                out_indices_n_c_do_ho_wo_host);
+        };
+    }
+
+    return (pass);
+};

example/48_pool3d_fwd/pool3d_fwd_fp16.cpp

+// SPDX-License-Identifier: MIT
+// Copyright (c) 2018-2022, Advanced Micro Devices, Inc. All rights reserved.
+
+#include <iostream>
+#include <cstdlib>
+
+#include "ck/ck.hpp"
+#include "ck/tensor_operation/gpu/device/tensor_layout.hpp"
+#include "ck/utility/reduction_enums.hpp"
+
+#include "pool3d_fwd_common.hpp"
+
+using InDataType  = ck::half_t;
+using OutDataType = ck::half_t;
+using AccDataType = float;
+
+using IndexDataType = int32_t;
+
+using InLayout  = ck::tensor_layout::convolution::NDHWC;
+using OutLayout = ck::tensor_layout::convolution::NDHWC;
+
+#if 1
+static constexpr auto ReduceOpId = ck::ReduceTensorOp::MAX;
+#else
+static constexpr auto ReduceOpId = ck::ReduceTensorOp::AVG;
+#endif
+
+static constexpr bool OutputIndex  = false;
+static constexpr bool PropagateNan = false;
+
+int main()
+{
+    bool do_verification = true;
+    bool time_kernel     = false;
+
+    // Pool shape
+    ck::index_t N               = 2;
+    ck::index_t C               = 32;
+    ck::index_t Z               = 3;
+    ck::index_t Y               = 3;
+    ck::index_t X               = 3;
+    ck::index_t Di              = 31;
+    ck::index_t Hi              = 31;
+    ck::index_t Wi              = 31;
+    ck::index_t window_stride_d = 2;
+    ck::index_t window_stride_h = 2;
+    ck::index_t window_stride_w = 2;
+    ck::index_t in_left_pad_d   = 1;
+    ck::index_t in_left_pad_h   = 1;
+    ck::index_t in_left_pad_w   = 1;
+    ck::index_t in_right_pad_d  = 1;
+    ck::index_t in_right_pad_h  = 1;
+    ck::index_t in_right_pad_w  = 1;
+
+    bool pass = pool3d_test<InDataType,
+                            OutDataType,
+                            AccDataType,
+                            IndexDataType,
+                            InLayout,
+                            OutLayout,
+                            ReduceOpId,
+                            PropagateNan,
+                            OutputIndex>(do_verification,
+                                         time_kernel,
+                                         N,
+                                         C,
+                                         Z,
+                                         Y,
+                                         X,
+                                         Di,
+                                         Hi,
+                                         Wi,
+                                         window_stride_d,
+                                         window_stride_h,
+                                         window_stride_w,
+                                         in_left_pad_d,
+                                         in_left_pad_h,
+                                         in_left_pad_w,
+                                         in_right_pad_d,
+                                         in_right_pad_h,
+                                         in_right_pad_w);
+
+    return (pass ? 0 : 1);
+}