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// under a form of NVIDIA software license agreement provided separately to you.
//
// Notice
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// proprietary rights in and to this software and related documentation and
// any modifications thereto. Any use, reproduction, disclosure, or
// distribution of this software and related documentation without an express
// license agreement from NVIDIA Corporation is strictly prohibited.
//
// ALL NVIDIA DESIGN SPECIFICATIONS, CODE ARE PROVIDED "AS IS.". NVIDIA MAKES
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// THE MATERIALS, AND EXPRESSLY DISCLAIMS ALL IMPLIED WARRANTIES OF NONINFRINGEMENT,
// MERCHANTABILITY, AND FITNESS FOR A PARTICULAR PURPOSE.
//
// Information and code furnished is believed to be accurate and reliable.
// However, NVIDIA Corporation assumes no responsibility for the consequences of use of such
// information or for any infringement of patents or other rights of third parties that may
// result from its use. No license is granted by implication or otherwise under any patent
// or patent rights of NVIDIA Corporation. Details are subject to change without notice.
// This code supersedes and replaces all information previously supplied.
// NVIDIA Corporation products are not authorized for use as critical
// components in life support devices or systems without express written approval of
// NVIDIA Corporation.
//
// Copyright (c) 20132017 NVIDIA Corporation. All rights reserved.
#include <cuda.h>
#include <cuda_runtime_api.h>
#include <vector>
#include <limits>
#include <algorithm>
#include "../../core/core.h"
#include "../../core/maths.h"
#include "../../include/NvFlex.h"
#include "../../include/NvFlexExt.h"
#define CudaCheck(x) { cudaError_t err = x; if (err != cudaSuccess) { printf("Cuda error: %d in %s at %s:%d\n", err, #x, __FILE__, __LINE__); assert(0); } }
static const int kNumThreadsPerBlock = 256;
struct NvFlexExtForceFieldCallback
{
NvFlexExtForceFieldCallback(NvFlexSolver* solver) : mSolver(solver)
{
// force fields
mForceFieldsCpu = NULL;
mForceFieldsGpu = NULL;
mMaxForceFields = 0;
mNumForceFields = 0;
}
~NvFlexExtForceFieldCallback()
{
// force fields
CudaCheck(cudaFreeHost(mForceFieldsCpu));
CudaCheck(cudaFree(mForceFieldsGpu));
}
NvFlexExtForceField* mForceFieldsCpu; // pinned host copy for async transfer
NvFlexExtForceField* mForceFieldsGpu; // device copy
int mMaxForceFields;
int mNumForceFields;
NvFlexSolver* mSolver;
};
NvFlexExtForceFieldCallback* NvFlexExtCreateForceFieldCallback(NvFlexSolver* solver)
{
return new NvFlexExtForceFieldCallback(solver);
}
void NvFlexExtDestroyForceFieldCallback(NvFlexExtForceFieldCallback* callback)
{
delete callback;
}
__global__ void UpdateForceFields(int numParticles, const Vec4* __restrict__ positions, Vec4* __restrict__ velocities, const NvFlexExtForceField* __restrict__ forceFields, int numForceFields, float dt)
{
const int i = blockIdx.x*blockDim.x + threadIdx.x;
for (int f = 0; f < numForceFields; f++)
{
const NvFlexExtForceField& forceField = forceFields[f];
if (i < numParticles)
{
const int index = i;
Vec4 p = positions[index];
Vec3 v = Vec3(velocities[index]);
Vec3 localPos = Vec3(p.x, p.y, p.z) - Vec3(forceField.mPosition[0], forceField.mPosition[1], forceField.mPosition[2]);
float length = Length(localPos);
if (length >= forceField.mRadius)
{
continue;
}
Vec3 fieldDir;
if (length > 0.0f)
{
fieldDir = localPos / length;
}
else
{
fieldDir = localPos;
}
// If using linear falloff, scale with distance.
float fieldStrength = forceField.mStrength;
if (forceField.mLinearFalloff)
{
fieldStrength *= (1.0f - (length / forceField.mRadius));
}
// Apply force
Vec3 force = localPos * fieldStrength;
float unitMultiplier;
if (forceField.mMode == eNvFlexExtModeForce)
{
unitMultiplier = dt * p.w; // time/mass
}
else if (forceField.mMode == eNvFlexExtModeImpulse)
{
unitMultiplier = p.w; // 1/mass
}
else if (forceField.mMode == eNvFlexExtModeVelocityChange)
{
unitMultiplier = 1.0f;
}
Vec3 deltaVelocity = fieldDir * fieldStrength * unitMultiplier;
velocities[index] = Vec4(v + deltaVelocity, 0.0f);
}
}
}
void ApplyForceFieldsCallback(NvFlexSolverCallbackParams params)
{
// callbacks always have the correct CUDA device set so we can safely launch kernels without acquiring
NvFlexExtForceFieldCallback* c = (NvFlexExtForceFieldCallback*)params.userData;
if (params.numActive && c->mNumForceFields)
{
const int kNumBlocks = (params.numActive+kNumThreadsPerBlock-1)/kNumThreadsPerBlock;
UpdateForceFields<<<kNumBlocks, kNumThreadsPerBlock>>>(
params.numActive,
(Vec4*)params.particles,
(Vec4*)params.velocities,
c->mForceFieldsGpu,
c->mNumForceFields,
params.dt);
}
}
void NvFlexExtSetForceFields(NvFlexExtForceFieldCallback* c, const NvFlexExtForceField* forceFields, int numForceFields)
{
// re-alloc if necessary
if (numForceFields > c->mMaxForceFields)
{
CudaCheck(cudaFreeHost(c->mForceFieldsCpu));
CudaCheck(cudaMallocHost(&c->mForceFieldsCpu, sizeof(NvFlexExtForceField)*numForceFields));
CudaCheck(cudaFree(c->mForceFieldsGpu));
CudaCheck(cudaMalloc(&c->mForceFieldsGpu, sizeof(NvFlexExtForceField)*numForceFields));
c->mMaxForceFields = numForceFields;
}
c->mNumForceFields = numForceFields;
if (numForceFields > 0)
{
// copy to pinned host memory
memcpy(c->mForceFieldsCpu, forceFields, numForceFields*sizeof(NvFlexExtForceField));
cudaMemcpyKind kind = cudaMemcpyHostToDevice;
CudaCheck(cudaMemcpyAsync(c->mForceFieldsGpu, &c->mForceFieldsCpu[0], numForceFields*sizeof(NvFlexExtForceField), kind, 0));
}
NvFlexSolverCallback callback;
callback.function = ApplyForceFieldsCallback;
callback.userData = c;
// register a callback to calculate the forces at the end of the time-step
NvFlexRegisterSolverCallback(c->mSolver, callback, eNvFlexStageUpdateEnd);
}
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