def __init__(self, context, queue):
""" Constructor.
@param context OpenCL context where apply.
@param queue OpenCL command queue.
"""
self.context = context
self.queue = queue
self.program = clUtils.loadProgram(context,
clUtils.path() + "/lsqr.cl")
# Create OpenCL objects as null objects, that we will generate
# at the first iteration
self.A = None
self.b = None
self.x0 = None
self.x = None
self.r = None
# Create some useful operators
self.dot_c_vec = ElementwiseKernel(context, "float c, float *v",
"v[i] *= c")
self.copy_vec = ElementwiseKernel(context, "float* out, float *in",
"out[i] = in[i]")
self.linear_comb = ElementwiseKernel(
context, "float* z,"
"float a, float *x, "
"float b, float *y", "z[i] = a*x[i] + b*y[i]")
self.prod = ElementwiseKernel(context, "float *z,"
"float *x, float *y", "z[i] = x[i]*y[i]")
def __init__(self, context, queue): """ Constructor. @param context OpenCL context where apply. @param queue OpenCL command queue. """ self.context = context self.queue = queue self.program = clUtils.loadProgram(context, clUtils.path() + "/lsqr.cl") # Create OpenCL objects as null objects, that we will generate # at the first iteration self.A = None self.b = None self.x0 = None self.x = None self.r = None # Create some useful operators self.dot_c_vec = ElementwiseKernel(context, "float c, float *v", "v[i] *= c") self.copy_vec = ElementwiseKernel(context, "float* out, float *in", "out[i] = in[i]") self.linear_comb = ElementwiseKernel(context, "float* z," "float a, float *x, " "float b, float *y", "z[i] = a*x[i] + b*y[i]") self.prod = ElementwiseKernel(context, "float *z," "float *x, float *y", "z[i] = x[i]*y[i]")
def __init__(self, context, queue): """ Constructor. @param context OpenCL context where apply. @param queue OpenCL command queue. """ self.context = context self.queue = queue self.program = clUtils.loadProgram(context, clUtils.path() + "/lsqr.cl") # Create OpenCL objects as null objects, that we will generate # at the first iteration self.A = None self.B = None self.X0 = None self.X = None self.R = None # Create dot operator self.dot = ReductionKernel(context, np.float32, neutral="0", reduce_expr="a+b", map_expr="x[i]*y[i]", arguments="__global float *x, __global float *y") self.dot_c_vec = ElementwiseKernel(context, "float c, float *v", "v[i] *= c") self.copy_vec = ElementwiseKernel(context, "float* out, float *in", "out[i] = in[i]") self.linear_comb = ElementwiseKernel(context, "float* z," "float a, float *x, " "float b, float *y", "z[i] = a*x[i] + b*y[i]") self.prod = ElementwiseKernel(context, "float* z," "float *x, float *y", "z[i] = x[i]*y[i]")
def __init__(self, context, queue): """ Constructor. @param context OpenCL context where apply. @param queue OpenCL command queue. """ self.context = context self.queue = queue self.program = clUtils.loadProgram(context, clUtils.path() + "/jacobi.cl") # Create OpenCL objects as null objects, that we will generate # at the first iteration self.A = None self.B = None self.X0 = None self.X = None self.R = None self.x = None self.n = 0
def __init__(self, context=None, queue=None): """ Constructor. @param context OpenCL context where apply. @param queue OpenCL command queue. """ self.context = context self.queue = queue self.program = clUtils.loadProgram(context, clUtils.path() + "/matrixGen.cl") # Create OpenCL objects as null objects, that we will generate # at the first iteration self.A = None self.B = None self.dB = None self.pos = None self.area = None self.normal = None self.p = None self.gradp = None
def __init__(self, context, queue): """ Constructor. @param context OpenCL context where apply. @param queue OpenCL command queue. """ self.context = context self.queue = queue self.program = clUtils.loadProgram(context, clUtils.path() + "/minres.cl") # Create OpenCL objects as null objects, that we will generate # at the first iteration self.A = None self.B = None self.X0 = None self.X = None self.R = None # Create dot operator self.dot = ReductionKernel(context, np.float32, neutral="0", reduce_expr="a+b", map_expr="x[i]*y[i]", arguments="__global float *x, __global float *y")
def __init__(self, context, queue):
""" Constructor.
@param context OpenCL context where apply.
@param queue OpenCL command queue.
"""
self.context = context
self.queue = queue
self.program = clUtils.loadProgram(context,
clUtils.path() + "/jacobi.cl")
# Create OpenCL objects as null objects, that we will generate
# at the first iteration
self.A = None
self.B = None
self.X0 = None
self.X = None
self.x = None
# Create dot operator
self.dot = ReductionKernel(
context,
np.float32,
neutral="0",
reduce_expr="a+b",
map_expr="x[i]*y[i]",
arguments="__global float *x, __global float *y")
