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"""
script which assigns a proper device core function based on a flag ('cpu' or 'gpu')
"""
from ccpi.filters.cpu_regularisers import TV_ROF_CPU, TV_FGP_CPU, TV_PD_CPU, TV_SB_CPU, dTV_FGP_CPU, TNV_CPU, NDF_CPU, Diff4th_CPU, TGV_CPU, LLT_ROF_CPU, PATCHSEL_CPU, NLTV_CPU
try:
from ccpi.filters.gpu_regularisers import TV_ROF_GPU, TV_FGP_GPU, TV_SB_GPU, dTV_FGP_GPU, NDF_GPU, Diff4th_GPU, TGV_GPU, LLT_ROF_GPU, PATCHSEL_GPU
gpu_enabled = True
except ImportError:
gpu_enabled = False
from ccpi.filters.cpu_regularisers import NDF_INPAINT_CPU, NVM_INPAINT_CPU
def ROF_TV(inputData, regularisation_parameter, iterations,
time_marching_parameter,tolerance_param,device='cpu'):
if device == 'cpu':
return TV_ROF_CPU(inputData,
regularisation_parameter,
iterations,
time_marching_parameter,
tolerance_param)
elif device == 'gpu' and gpu_enabled:
return TV_ROF_GPU(inputData,
regularisation_parameter,
iterations,
time_marching_parameter,
tolerance_param)
else:
if not gpu_enabled and device == 'gpu':
raise ValueError ('GPU is not available')
raise ValueError('Unknown device {0}. Expecting gpu or cpu'\
.format(device))
def FGP_TV(inputData, regularisation_parameter,iterations,
tolerance_param, methodTV, nonneg, device='cpu'):
if device == 'cpu':
return TV_FGP_CPU(inputData,
regularisation_parameter,
iterations,
tolerance_param,
methodTV,
nonneg)
elif device == 'gpu' and gpu_enabled:
return TV_FGP_GPU(inputData,
regularisation_parameter,
iterations,
tolerance_param,
methodTV,
nonneg)
else:
if not gpu_enabled and device == 'gpu':
raise ValueError ('GPU is not available')
raise ValueError('Unknown device {0}. Expecting gpu or cpu'\
.format(device))
def PD_TV(inputData, regularisation_parameter, iterations,
tolerance_param, methodTV, nonneg, lipschitz_const, tau, device='cpu'):
if device == 'cpu':
return TV_PD_CPU(inputData,
regularisation_parameter,
iterations,
tolerance_param,
methodTV,
nonneg,
lipschitz_const,
tau)
elif device == 'gpu' and gpu_enabled:
return TV_PD_CPU(inputData,
regularisation_parameter,
iterations,
tolerance_param,
methodTV,
nonneg,
lipschitz_const,
tau)
else:
if not gpu_enabled and device == 'gpu':
raise ValueError ('GPU is not available')
raise ValueError('Unknown device {0}. Expecting gpu or cpu'\
.format(device))
def SB_TV(inputData, regularisation_parameter, iterations,
tolerance_param, methodTV, device='cpu'):
if device == 'cpu':
return TV_SB_CPU(inputData,
regularisation_parameter,
iterations,
tolerance_param,
methodTV)
elif device == 'gpu' and gpu_enabled:
return TV_SB_GPU(inputData,
regularisation_parameter,
iterations,
tolerance_param,
methodTV)
else:
if not gpu_enabled and device == 'gpu':
raise ValueError ('GPU is not available')
raise ValueError('Unknown device {0}. Expecting gpu or cpu'\
.format(device))
def LLT_ROF(inputData, regularisation_parameterROF, regularisation_parameterLLT, iterations,
time_marching_parameter, tolerance_param, device='cpu'):
if device == 'cpu':
return LLT_ROF_CPU(inputData, regularisation_parameterROF, regularisation_parameterLLT, iterations, time_marching_parameter, tolerance_param)
elif device == 'gpu' and gpu_enabled:
return LLT_ROF_GPU(inputData, regularisation_parameterROF, regularisation_parameterLLT, iterations, time_marching_parameter, tolerance_param)
else:
if not gpu_enabled and device == 'gpu':
raise ValueError ('GPU is not available')
raise ValueError('Unknown device {0}. Expecting gpu or cpu'\
.format(device))
def TGV(inputData, regularisation_parameter, alpha1, alpha0, iterations,
LipshitzConst, tolerance_param, device='cpu'):
if device == 'cpu':
return TGV_CPU(inputData,
regularisation_parameter,
alpha1,
alpha0,
iterations,
LipshitzConst,
tolerance_param)
elif device == 'gpu' and gpu_enabled:
return TGV_GPU(inputData,
regularisation_parameter,
alpha1,
alpha0,
iterations,
LipshitzConst,
tolerance_param)
else:
if not gpu_enabled and device == 'gpu':
raise ValueError ('GPU is not available')
raise ValueError('Unknown device {0}. Expecting gpu or cpu'\
.format(device))
def NDF(inputData, regularisation_parameter, edge_parameter, iterations,
time_marching_parameter, penalty_type, tolerance_param, device='cpu'):
if device == 'cpu':
return NDF_CPU(inputData,
regularisation_parameter,
edge_parameter,
iterations,
time_marching_parameter,
penalty_type,
tolerance_param)
elif device == 'gpu' and gpu_enabled:
return NDF_GPU(inputData,
regularisation_parameter,
edge_parameter,
iterations,
time_marching_parameter,
penalty_type,
tolerance_param)
else:
if not gpu_enabled and device == 'gpu':
raise ValueError ('GPU is not available')
raise ValueError('Unknown device {0}. Expecting gpu or cpu'\
.format(device))
def Diff4th(inputData, regularisation_parameter, edge_parameter, iterations,
time_marching_parameter, tolerance_param, device='cpu'):
if device == 'cpu':
return Diff4th_CPU(inputData,
regularisation_parameter,
edge_parameter,
iterations,
time_marching_parameter,
tolerance_param)
elif device == 'gpu' and gpu_enabled:
return Diff4th_GPU(inputData,
regularisation_parameter,
edge_parameter,
iterations,
time_marching_parameter,
tolerance_param)
else:
if not gpu_enabled and device == 'gpu':
raise ValueError ('GPU is not available')
raise ValueError('Unknown device {0}. Expecting gpu or cpu'\
.format(device))
def FGP_dTV(inputData, refdata, regularisation_parameter, iterations,
tolerance_param, eta_const, methodTV, nonneg, device='cpu'):
if device == 'cpu':
return dTV_FGP_CPU(inputData,
refdata,
regularisation_parameter,
iterations,
tolerance_param,
eta_const,
methodTV,
nonneg)
elif device == 'gpu' and gpu_enabled:
return dTV_FGP_GPU(inputData,
refdata,
regularisation_parameter,
iterations,
tolerance_param,
eta_const,
methodTV,
nonneg)
else:
if not gpu_enabled and device == 'gpu':
raise ValueError ('GPU is not available')
raise ValueError('Unknown device {0}. Expecting gpu or cpu'\
.format(device))
def TNV(inputData, regularisation_parameter, iterations, tolerance_param):
return TNV_CPU(inputData,
regularisation_parameter,
iterations,
tolerance_param)
def PatchSelect(inputData, searchwindow, patchwindow, neighbours, edge_parameter, device='cpu'):
if device == 'cpu':
return PATCHSEL_CPU(inputData,
searchwindow,
patchwindow,
neighbours,
edge_parameter)
elif device == 'gpu' and gpu_enabled:
return PATCHSEL_GPU(inputData,
searchwindow,
patchwindow,
neighbours,
edge_parameter)
else:
if not gpu_enabled and device == 'gpu':
raise ValueError ('GPU is not available')
raise ValueError('Unknown device {0}. Expecting gpu or cpu'\
.format(device))
def NLTV(inputData, H_i, H_j, H_k, Weights, regularisation_parameter, iterations):
return NLTV_CPU(inputData,
H_i,
H_j,
H_k,
Weights,
regularisation_parameter,
iterations)
def NDF_INP(inputData, maskData, regularisation_parameter, edge_parameter, iterations,
time_marching_parameter, penalty_type):
return NDF_INPAINT_CPU(inputData, maskData, regularisation_parameter,
edge_parameter, iterations, time_marching_parameter, penalty_type)
def NVM_INP(inputData, maskData, SW_increment, iterations):
return NVM_INPAINT_CPU(inputData, maskData, SW_increment, iterations)
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