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Commit a39126ab authored by Peter Eastman's avatar Peter Eastman
Browse files

Fixed compilation warnings under Windows

parent 53539843
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Showing with 41 additions and 41 deletions
platforms/cuda/src/CudaKernels.cpp
View file @ a39126ab
......@@ -130,12 +130,12 @@ void CudaUpdateStateDataKernel::setPositions(ContextImpl& context, const std::ve
for (int i = 0; i < numParticles; ++i) {
float4& pos = (*gpu->psPosq4)[i];
const Vec3& p = positions[order[i]];
pos.x = p[0];
pos.y = p[1];
pos.z = p[2];
pos.x = (float) p[0];
pos.y = (float) p[1];
pos.z = (float) p[2];
}
gpu->psPosq4->Upload();
for (int i = 0; i < gpu->posCellOffsets.size(); i++)
for (int i = 0; i < (int) gpu->posCellOffsets.size(); i++)
gpu->posCellOffsets[i] = make_int3(0, 0, 0);
}
......@@ -158,9 +158,9 @@ void CudaUpdateStateDataKernel::setVelocities(ContextImpl& context, const std::v
for (int i = 0; i < numParticles; ++i) {
float4& vel = (*gpu->psVelm4)[i];
const Vec3& v = velocities[order[i]];
vel.x = v[0];
vel.y = v[1];
vel.z = v[2];
vel.x = (float) v[0];
vel.y = (float) v[1];
vel.z = (float) v[2];
}
gpu->psVelm4->Upload();
}
......@@ -392,7 +392,7 @@ void CudaCalcNonbondedForceKernel::initialize(const System& system, const Nonbon
gpuSetPeriodicBoxSize(gpu, (float)boxVectors[0][0], (float)boxVectors[1][1], (float)boxVectors[2][2]);
CudaNonbondedMethod method = NO_CUTOFF;
if (force.getNonbondedMethod() != NonbondedForce::NoCutoff) {
gpuSetNonbondedCutoff(gpu, (float)force.getCutoffDistance(), force.getReactionFieldDielectric());
gpuSetNonbondedCutoff(gpu, (float) force.getCutoffDistance(), (float) force.getReactionFieldDielectric());
method = CUTOFF;
}
if (force.getNonbondedMethod() == NonbondedForce::CutoffPeriodic) {
......@@ -576,7 +576,7 @@ void CudaCalcGBVIForceKernel::initialize(const System& system, const GBVIForce&
vector<float> gammas(numParticles);
for (int i = 0; i < numParticles; i++) {
double charge, particleRadius, gamma, bornRadiusScaleFactor;
double charge, particleRadius, gamma;
force.getParticleParameters(i, charge, particleRadius, gamma );
particle[i] = i;
radius[i] = (float) particleRadius;
......
platforms/cuda/src/kernels/bbsort.cu
View file @ a39126ab
......@@ -189,8 +189,8 @@ void bbSortBody(T* dData,int size,int listOrder/*,float sliceStep,int sliceSize,
evaluateDisorder(dData,size,maxValue,minValue,listOrder);
}
float sliceStep =(50.0*((double)(maxValue-minValue)/(double)size));
int sliceSize = (maxValue-minValue)/sliceStep + 10;
float sliceStep = (float) (50.0*((double)(maxValue-minValue)/(double)size));
int sliceSize = (int) ((maxValue-minValue)/sliceStep + 10);
int blockCount;
......
platforms/cuda/src/kernels/gpu.cpp
View file @ a39126ab
......@@ -148,14 +148,14 @@ static Expression<SIZE> createExpression(gpuContext gpu, const string& expressio
throw OpenMMException("Expression contains too many operations: "+expression);
exp.length = program.getNumOperations();
exp.stackSize = program.getStackSize();
if (exp.stackSize > maxStackSize)
if (exp.stackSize > (int) maxStackSize)
maxStackSize = exp.stackSize;
for (int i = 0; i < program.getNumOperations(); i++) {
const Operation& op = program.getOperation(i);
switch (op.getId()) {
case Operation::CONSTANT:
exp.op[i] = CONSTANT;
exp.arg[i] = dynamic_cast<const Operation::Constant*>(&op)->getValue();
exp.arg[i] = (float) dynamic_cast<const Operation::Constant*>(&op)->getValue();
break;
case Operation::VARIABLE:
if (variables.size() > 0 && op.getName() == variables[0])
......@@ -178,18 +178,18 @@ static Expression<SIZE> createExpression(gpuContext gpu, const string& expressio
exp.op[i] = VARIABLE8;
else {
int j;
for (j = 0; j < globalParamNames.size() && op.getName() != globalParamNames[j]; j++);
for (j = 0; j < (int) globalParamNames.size() && op.getName() != globalParamNames[j]; j++);
if (j == globalParamNames.size())
throw OpenMMException("Unknown variable '"+op.getName()+"' in expression: "+expression);
exp.op[i] = GLOBAL;
exp.arg[i] = j;
exp.arg[i] = (float) j;
}
break;
case Operation::CUSTOM:
exp.op[i] = dynamic_cast<const Operation::Custom*>(&op)->getDerivOrder()[0] == 0 ? CUSTOM : CUSTOM_DERIV;
for (int j = 0; j < MAX_TABULATED_FUNCTIONS; j++)
if (op.getName() == gpu->tabulatedFunctions[j].name) {
exp.arg[i] = j;
exp.arg[i] = (float) j;
break;
}
break;
......@@ -276,15 +276,15 @@ static Expression<SIZE> createExpression(gpuContext gpu, const string& expressio
break;
case Operation::ADD_CONSTANT:
exp.op[i] = ADD_CONSTANT;
exp.arg[i] = dynamic_cast<const Operation::AddConstant*>(&op)->getValue();
exp.arg[i] = (float) dynamic_cast<const Operation::AddConstant*>(&op)->getValue();
break;
case Operation::MULTIPLY_CONSTANT:
exp.op[i] = MULTIPLY_CONSTANT;
exp.arg[i] = dynamic_cast<const Operation::MultiplyConstant*>(&op)->getValue();
exp.arg[i] = (float) dynamic_cast<const Operation::MultiplyConstant*>(&op)->getValue();
break;
case Operation::POWER_CONSTANT:
exp.op[i] = POWER_CONSTANT;
exp.arg[i] = dynamic_cast<const Operation::PowerConstant*>(&op)->getValue();
exp.arg[i] = (float) dynamic_cast<const Operation::PowerConstant*>(&op)->getValue();
break;
}
}
......@@ -540,11 +540,11 @@ void gpuSetLJ14Parameters(gpuContext gpu, float epsfac, float fudge, const vecto
extern "C" void setExclusions(gpuContext gpu, const vector<vector<int> >& exclusions) {
if (gpu->exclusions.size() > 0) {
bool ok = (exclusions.size() == gpu->exclusions.size());
for (int i = 0; i < exclusions.size() && ok; i++) {
for (int i = 0; i < (int) exclusions.size() && ok; i++) {
if (exclusions[i].size() != gpu->exclusions[i].size())
ok = false;
else {
for (int j = 0; j < exclusions[i].size(); j++)
for (int j = 0; j < (int) exclusions[i].size(); j++)
if (find(gpu->exclusions[i].begin(), gpu->exclusions[i].end(), exclusions[i][j]) == gpu->exclusions[i].end())
ok = false;
}
......@@ -638,16 +638,16 @@ void gpuSetTabulatedFunction(gpuContext gpu, int index, const string& name, cons
for (int i = 0; i < (int) values.size()-1; i++) {
float4 c;
if (interpolating) {
c.x = padded[i+1];
c.y = 0.5*(-padded[i]+padded[i+2]);
c.z = 0.5*(2.0*padded[i]-5.0*padded[i+1]+4.0*padded[i+2]-padded[i+3]);
c.w = 0.5*(-padded[i]+3.0*padded[i+1]-3.0*padded[i+2]+padded[i+3]);
c.x = (float) padded[i+1];
c.y = (float) (0.5*(-padded[i]+padded[i+2]));
c.z = (float) (0.5*(2.0*padded[i]-5.0*padded[i+1]+4.0*padded[i+2]-padded[i+3]));
c.w = (float) (0.5*(-padded[i]+3.0*padded[i+1]-3.0*padded[i+2]+padded[i+3]));
}
else {
c.x = (padded[i]+4.0*padded[i+1]+padded[i+2])/6.0;
c.y = (-3.0*padded[i]+3.0*padded[i+2])/6.0;
c.z = (3.0*padded[i]-6.0*padded[i+1]+3.0*padded[i+2])/6.0;
c.w = (-padded[i]+3.0*padded[i+1]-3.0*padded[i+2]+padded[i+3])/6.0;
c.x = (float) ((padded[i]+4.0*padded[i+1]+padded[i+2])/6.0);
c.y = (float) ((-3.0*padded[i]+3.0*padded[i+2])/6.0);
c.z = (float) ((3.0*padded[i]-6.0*padded[i+1]+3.0*padded[i+2])/6.0);
c.w = (float) ((-padded[i]+3.0*padded[i+1]-3.0*padded[i+2]+padded[i+3])/6.0);
}
(*coeff)[i] = c;
}
......@@ -677,18 +677,18 @@ void gpuSetCustomBondParameters(gpuContext gpu, const vector<int>& bondAtom1, co
(*gpu->psCustomBondID)[i].z = forceBufferCounter[bondAtom1[i]]++;
(*gpu->psCustomBondID)[i].w = forceBufferCounter[bondAtom2[i]]++;
if (bondParams[i].size() > 0)
(*gpu->psCustomBondParams)[i].x = bondParams[i][0];
(*gpu->psCustomBondParams)[i].x = (float) bondParams[i][0];
if (bondParams[i].size() > 1)
(*gpu->psCustomBondParams)[i].y = bondParams[i][1];
(*gpu->psCustomBondParams)[i].y = (float) bondParams[i][1];
if (bondParams[i].size() > 2)
(*gpu->psCustomBondParams)[i].z = bondParams[i][2];
(*gpu->psCustomBondParams)[i].z = (float) bondParams[i][2];
if (bondParams[i].size() > 3)
(*gpu->psCustomBondParams)[i].w = bondParams[i][3];
(*gpu->psCustomBondParams)[i].w = (float) bondParams[i][3];
}
gpu->psCustomBondID->Upload();
gpu->psCustomBondParams->Upload();
for (int i = 0; i < (int) forceBufferCounter.size(); i++)
if (forceBufferCounter[i] > gpu->pOutputBufferCounter[i])
if (forceBufferCounter[i] > (int) gpu->pOutputBufferCounter[i])
gpu->pOutputBufferCounter[i] = forceBufferCounter[i];
// Create the Expressions.
......@@ -720,13 +720,13 @@ void gpuSetCustomExternalParameters(gpuContext gpu, const vector<int>& atomIndex
for (int i = 0; i < (int) atomIndex.size(); i++) {
(*gpu->psCustomExternalID)[i] = atomIndex[i];
if (atomParams[i].size() > 0)
(*gpu->psCustomExternalParams)[i].x = atomParams[i][0];
(*gpu->psCustomExternalParams)[i].x = (float) atomParams[i][0];
if (atomParams[i].size() > 1)
(*gpu->psCustomExternalParams)[i].y = atomParams[i][1];
(*gpu->psCustomExternalParams)[i].y = (float) atomParams[i][1];
if (atomParams[i].size() > 2)
(*gpu->psCustomExternalParams)[i].z = atomParams[i][2];
(*gpu->psCustomExternalParams)[i].z = (float) atomParams[i][2];
if (atomParams[i].size() > 3)
(*gpu->psCustomExternalParams)[i].w = atomParams[i][3];
(*gpu->psCustomExternalParams)[i].w = (float) atomParams[i][3];
}
gpu->psCustomExternalID->Upload();
gpu->psCustomExternalParams->Upload();
......@@ -834,7 +834,7 @@ static void tabulateErfc(gpuContext gpu)
gpu->psTabulatedErfc = new CUDAStream<float>(tableSize, 1, "TabulatedErfc");
gpu->sim.pTabulatedErfc = gpu->psTabulatedErfc->_pDevData;
for (int i = 0; i < tableSize; ++i)
(*gpu->psTabulatedErfc)[i] = erfc(i*(gpu->sim.alphaEwald*gpu->sim.nonbondedCutoff)/tableSize);
(*gpu->psTabulatedErfc)[i] = (float) erfc(i*(gpu->sim.alphaEwald*gpu->sim.nonbondedCutoff)/tableSize);
gpu->psTabulatedErfc->Upload();
}
......@@ -996,7 +996,7 @@ void gpuSetGBVIParameters(gpuContext gpu, float innerDielectric, float solventDi
{
(*gpu->psGBVIData)[i].x = radius[i];
(*gpu->psGBVIData)[i].y = scaledRadii[i];
(*gpu->psGBVIData)[i].z = tau*gamma[i];
(*gpu->psGBVIData)[i].z = (float) (tau*gamma[i]);
(*gpu->psGBVIData)[i].w = 1.0f;
(*gpu->psObcData)[i].x = radius[i];
......
platforms/cuda/src/kernels/kCalculatePME.cu
View file @ a39126ab
......@@ -89,7 +89,7 @@ inline __host__ __device__ float4 operator*(float4 a, float4 b)
}
inline __host__ __device__ float4 make_float4(int3 a)
{
return make_float4(a.x, a.y, a.z, 0);
return make_float4((float) a.x, (float) a.y, (float) a.z, 0);
}
__global__ void kUpdateGridIndexAndFraction_kernel()
......
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