pass in op_estimate in opencl
MODIFY
accel/opencl/ops_opencl.py
accel/opencl/ops_opencl.py
@@ -380,7 +380,8 @@ class OpenCLBuffer(GPUBuffer):
#print(conv_src)
conv_prg = CLProgram("matmul", conv_src,
options=tuple(options),
- argdtypes=tuple([None, None, None, None] + [np.int16]*len(conv_args) + [None]*len(ewbufs))
+ argdtypes=tuple([None, None, None, None] + [np.int16]*len(conv_args) + [None]*len(ewbufs)),
+ op_estimate=op_estimate
)
global_work_size = [4, 16, C.cout//4]
@@ -420,7 +421,8 @@ class OpenCLBuffer(GPUBuffer):
#print(conv_src)
conv_prg = CLProgram("image_conv", conv_src,
options=tuple(options),
- argdtypes=tuple([None, None, None] + [np.int16]*len(conv_args) + [None]*len(ewbufs))
+ argdtypes=tuple([None, None, None] + [np.int16]*len(conv_args) + [None]*len(ewbufs)),
+ op_estimate=op_estimate
)
global_work_size = [C.cout//4, (C.ox+NUM_OUTPUTS-1)//NUM_OUTPUTS, C.bs*C.oy]
conv_prg(global_work_size, None, ret.image, x.image, w.image, *conv_args, *[buf.image if 'image2d_t' in typ else buf.cl for typ, (_, buf) in zip(ewtypes, ewbufs)])

pass in op_estimate in opencl