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46 lines
1.4 KiB
46 lines
1.4 KiB
# distutils: language = c++
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# cython: c_string_encoding=ascii
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import numpy as np
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cimport numpy as cnp
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from libc.string cimport memcpy
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from cereal.visionipc.visionipc cimport cl_mem
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from cereal.visionipc.visionipc_pyx cimport VisionBuf, CLContext as BaseCLContext
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from .commonmodel cimport CL_DEVICE_TYPE_DEFAULT, cl_get_device_id, cl_create_context
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from .commonmodel cimport USE_CPU_RUNTIME, USE_GPU_RUNTIME, USE_DSP_RUNTIME
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from .commonmodel cimport mat3, ModelFrame as cppModelFrame
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class Runtime:
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CPU = USE_CPU_RUNTIME
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GPU = USE_GPU_RUNTIME
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DSP = USE_DSP_RUNTIME
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cdef class CLContext(BaseCLContext):
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def __cinit__(self):
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self.device_id = cl_get_device_id(CL_DEVICE_TYPE_DEFAULT)
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self.context = cl_create_context(self.device_id)
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cdef class CLMem:
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@staticmethod
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cdef create(void * cmem):
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mem = CLMem()
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mem.mem = <cl_mem*> cmem
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return mem
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cdef class ModelFrame:
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cdef cppModelFrame * frame
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def __cinit__(self, CLContext context):
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self.frame = new cppModelFrame(context.device_id, context.context)
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def __dealloc__(self):
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del self.frame
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def prepare(self, VisionBuf buf, float[:] projection, CLMem output):
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cdef mat3 cprojection
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memcpy(cprojection.v, &projection[0], 9*sizeof(float))
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cdef float * data = self.frame.prepare(buf.buf.buf_cl, buf.width, buf.height, buf.stride, buf.uv_offset, cprojection, output.mem)
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if not data:
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return None
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return np.asarray(<cnp.float32_t[:self.frame.buf_size]> data)
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