Why does pyplot display opencl calculation result as black screen?









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I'm writing a mandelbrot set calculation program with OpenCL to learn something about it. But results of calculations is kinda weird. I have a function that calculates set:



def cl_mandelbrot(ray, maxiter, ctx):
program = cl.Program(ctx, """
#pragma OPENCL EXTENSION cl_khr_byte_addressable_store : enable
__kernel void m_brot(__global float2 *arr,
__global ushort *output,
ushort const maxiters)

int gid = get_global_id(0);
float nreal, real = 0;
float imag = 0;
output[gid] = 0;
for(int curiter = 0; curiter < maxiters; curiter++)
nreal = real*real - imag*imag + arr[gid].x;
imag = 2* real*imag + arr[gid].y;
real = nreal;
if (real*real + imag*imag > 4.0f)
output[gid] = curiter;
break;



""").build()

output = np.empty(arr.shape, dtype=np.uint8)

queue = cl.CommandQueue(ctx)
mem_flags = cl.mem_flags

arr_buf = cl.Buffer(ctx, mem_flags.COPY_HOST_PTR | mem_flags.READ_ONLY, hostbuf=ray)
out_buf = cl.Buffer(ctx, mem_flags.WRITE_ONLY, output.nbytes)

program.m_brot(queue, output.shape, None, arr_buf, out_buf, np.uint16(maxiter))
cl.enqueue_copy(queue, output, out_buf).wait()

return output


And function that passes arguments to cl_mandelbrot() function:



def fillarr_gpu(xmax, xmin, ymax, ymin, iter, width, height, ctx):
lx = np.linspace(xmin, xmax, width, dtype=np.float64)
ly = np.linspace(ymin, ymax, height, dtype=np.float64)
c = lx + ly[:, None]*1j
c = np.ravel(c)
print(c[1])
res = cl_mandelbrot(c, iter, ctx)
print(res.size)
res = res.reshape((width, height))
return res


The problem is with these functions.
Here's the result drawen with pyplot










share|improve this question





















  • Show the exact code that generates the plot. Also, assuming res is the array that is plotted, show res.dtype, res.min() and res.max().
    – Warren Weckesser
    Nov 11 at 17:19















up vote
0
down vote

favorite












I'm writing a mandelbrot set calculation program with OpenCL to learn something about it. But results of calculations is kinda weird. I have a function that calculates set:



def cl_mandelbrot(ray, maxiter, ctx):
program = cl.Program(ctx, """
#pragma OPENCL EXTENSION cl_khr_byte_addressable_store : enable
__kernel void m_brot(__global float2 *arr,
__global ushort *output,
ushort const maxiters)

int gid = get_global_id(0);
float nreal, real = 0;
float imag = 0;
output[gid] = 0;
for(int curiter = 0; curiter < maxiters; curiter++)
nreal = real*real - imag*imag + arr[gid].x;
imag = 2* real*imag + arr[gid].y;
real = nreal;
if (real*real + imag*imag > 4.0f)
output[gid] = curiter;
break;



""").build()

output = np.empty(arr.shape, dtype=np.uint8)

queue = cl.CommandQueue(ctx)
mem_flags = cl.mem_flags

arr_buf = cl.Buffer(ctx, mem_flags.COPY_HOST_PTR | mem_flags.READ_ONLY, hostbuf=ray)
out_buf = cl.Buffer(ctx, mem_flags.WRITE_ONLY, output.nbytes)

program.m_brot(queue, output.shape, None, arr_buf, out_buf, np.uint16(maxiter))
cl.enqueue_copy(queue, output, out_buf).wait()

return output


And function that passes arguments to cl_mandelbrot() function:



def fillarr_gpu(xmax, xmin, ymax, ymin, iter, width, height, ctx):
lx = np.linspace(xmin, xmax, width, dtype=np.float64)
ly = np.linspace(ymin, ymax, height, dtype=np.float64)
c = lx + ly[:, None]*1j
c = np.ravel(c)
print(c[1])
res = cl_mandelbrot(c, iter, ctx)
print(res.size)
res = res.reshape((width, height))
return res


The problem is with these functions.
Here's the result drawen with pyplot










share|improve this question





















  • Show the exact code that generates the plot. Also, assuming res is the array that is plotted, show res.dtype, res.min() and res.max().
    – Warren Weckesser
    Nov 11 at 17:19













up vote
0
down vote

favorite









up vote
0
down vote

favorite











I'm writing a mandelbrot set calculation program with OpenCL to learn something about it. But results of calculations is kinda weird. I have a function that calculates set:



def cl_mandelbrot(ray, maxiter, ctx):
program = cl.Program(ctx, """
#pragma OPENCL EXTENSION cl_khr_byte_addressable_store : enable
__kernel void m_brot(__global float2 *arr,
__global ushort *output,
ushort const maxiters)

int gid = get_global_id(0);
float nreal, real = 0;
float imag = 0;
output[gid] = 0;
for(int curiter = 0; curiter < maxiters; curiter++)
nreal = real*real - imag*imag + arr[gid].x;
imag = 2* real*imag + arr[gid].y;
real = nreal;
if (real*real + imag*imag > 4.0f)
output[gid] = curiter;
break;



""").build()

output = np.empty(arr.shape, dtype=np.uint8)

queue = cl.CommandQueue(ctx)
mem_flags = cl.mem_flags

arr_buf = cl.Buffer(ctx, mem_flags.COPY_HOST_PTR | mem_flags.READ_ONLY, hostbuf=ray)
out_buf = cl.Buffer(ctx, mem_flags.WRITE_ONLY, output.nbytes)

program.m_brot(queue, output.shape, None, arr_buf, out_buf, np.uint16(maxiter))
cl.enqueue_copy(queue, output, out_buf).wait()

return output


And function that passes arguments to cl_mandelbrot() function:



def fillarr_gpu(xmax, xmin, ymax, ymin, iter, width, height, ctx):
lx = np.linspace(xmin, xmax, width, dtype=np.float64)
ly = np.linspace(ymin, ymax, height, dtype=np.float64)
c = lx + ly[:, None]*1j
c = np.ravel(c)
print(c[1])
res = cl_mandelbrot(c, iter, ctx)
print(res.size)
res = res.reshape((width, height))
return res


The problem is with these functions.
Here's the result drawen with pyplot










share|improve this question













I'm writing a mandelbrot set calculation program with OpenCL to learn something about it. But results of calculations is kinda weird. I have a function that calculates set:



def cl_mandelbrot(ray, maxiter, ctx):
program = cl.Program(ctx, """
#pragma OPENCL EXTENSION cl_khr_byte_addressable_store : enable
__kernel void m_brot(__global float2 *arr,
__global ushort *output,
ushort const maxiters)

int gid = get_global_id(0);
float nreal, real = 0;
float imag = 0;
output[gid] = 0;
for(int curiter = 0; curiter < maxiters; curiter++)
nreal = real*real - imag*imag + arr[gid].x;
imag = 2* real*imag + arr[gid].y;
real = nreal;
if (real*real + imag*imag > 4.0f)
output[gid] = curiter;
break;



""").build()

output = np.empty(arr.shape, dtype=np.uint8)

queue = cl.CommandQueue(ctx)
mem_flags = cl.mem_flags

arr_buf = cl.Buffer(ctx, mem_flags.COPY_HOST_PTR | mem_flags.READ_ONLY, hostbuf=ray)
out_buf = cl.Buffer(ctx, mem_flags.WRITE_ONLY, output.nbytes)

program.m_brot(queue, output.shape, None, arr_buf, out_buf, np.uint16(maxiter))
cl.enqueue_copy(queue, output, out_buf).wait()

return output


And function that passes arguments to cl_mandelbrot() function:



def fillarr_gpu(xmax, xmin, ymax, ymin, iter, width, height, ctx):
lx = np.linspace(xmin, xmax, width, dtype=np.float64)
ly = np.linspace(ymin, ymax, height, dtype=np.float64)
c = lx + ly[:, None]*1j
c = np.ravel(c)
print(c[1])
res = cl_mandelbrot(c, iter, ctx)
print(res.size)
res = res.reshape((width, height))
return res


The problem is with these functions.
Here's the result drawen with pyplot







python matplotlib opencl pyopencl mandelbrot






share|improve this question













share|improve this question











share|improve this question




share|improve this question










asked Nov 11 at 17:15









DucalisGD

1




1











  • Show the exact code that generates the plot. Also, assuming res is the array that is plotted, show res.dtype, res.min() and res.max().
    – Warren Weckesser
    Nov 11 at 17:19

















  • Show the exact code that generates the plot. Also, assuming res is the array that is plotted, show res.dtype, res.min() and res.max().
    – Warren Weckesser
    Nov 11 at 17:19
















Show the exact code that generates the plot. Also, assuming res is the array that is plotted, show res.dtype, res.min() and res.max().
– Warren Weckesser
Nov 11 at 17:19





Show the exact code that generates the plot. Also, assuming res is the array that is plotted, show res.dtype, res.min() and res.max().
– Warren Weckesser
Nov 11 at 17:19


















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