# Create the wave object
W = wave.WavePropagator(inpa, src, rec_loc, model_shape,
n_well_rec=n_well_rec,
components=seisout, chpr=0)
# Call the forward modelling
d_obs = W.forward_modeling(model, show=False) # show=True can show the propagation of the wave
Cell In[6], line 7
2 W = wave.WavePropagator(inpa, src, rec_loc, model_shape,
3 n_well_rec=n_well_rec,
4 components=seisout, chpr=0)
6 # Call the forward modelling
----> 7 d_obs = W.forward_modeling(model, show=False) # show=True can show the propagation of the wave
File ~/anaconda3/envs/env3/lib/python3.10/site-packages/PyFWI/wave_propagation.py:898, in WavePropagator.forward_modeling(self, model0, show)
896 self.pml_preparation(model['vp'].max())
897 self.elastic_buffers(model)
--> 898 seismo = self.forward_propagator(model)
899 data = acq.seismic_section(seismo, self.components, shape=self.seismo_shape)
900 return data
File ~/anaconda3/envs/env3/lib/python3.10/site-packages/PyFWI/wave_propagation.py:648, in WavePropagator.forward_propagator(self, model)
642 self.prg.MakeAllZero(self.queue, (self.tnz, self.tnx), None,
643 self.vx_b, self.vz_b,
644 self.taux_b, self.tauz_b, self.tauxz_b
645 )
646 # print(s)
647 # print(coeff)
--> 648 self.__kernel(s, coeff)
650 if self.acq_type == 2:
651 for par in self.seismogram:
File ~/anaconda3/envs/env3/lib/python3.10/site-packages/PyFWI/wave_propagation.py:714, in WavePropagator.__kernel(self, s, coeff)
712 for t in np.arange(self.nt):
713 if t % self.dt_scale == 0:
--> 714 self.__injSrc(t_src, s)
715 # t_src += 1.0
716 print(t)
File ~/anaconda3/envs/env3/lib/python3.10/site-packages/PyFWI/wave_propagation.py:661, in WavePropagator.__injSrc(self, t, s)
656 src_kv_x, src_kv_z, src_kt_x, src_kt_z, src_kt_xz = np.float32(self.src(t))
657 # print(t.astype(np.float32).type)
658 # print(t)
659 # print(type(src_kt_xz))
660 # t = np.float32(t)
--> 661 self.prg.injSrc(self.queue, (self.tnz, self.tnx), None,
662 self.vx_b, self.vz_b,
663 self.taux_b, self.tauz_b, self.tauxz_b,
664 self.seismogramid_vx_b, self.seismogramid_vz_b,
665 self.seismogramid_taux_b, self.seismogramid_tauz_b, self.seismogramid_tauxz_b,
666 self.dxr,
667 self.srcx[s], self.srcz[s],
668 src_kv_x, src_kv_z,
669 src_kt_x, src_kt_z,
670 t
671 )
File ~/anaconda3/envs/env3/lib/python3.10/site-packages/pyopencl/__init__.py:901, in _add_functionality.<locals>.kernel_call(self, queue, global_size, local_size, *args, **kwargs)
895 def kernel_call(self, queue, global_size, local_size, *args, **kwargs):
896 # __call__ can't be overridden directly, so we need this
897 # trampoline hack.
898
899 # Note: This is only used for the generic __call__, before
900 # kernel_set_scalar_arg_dtypes is called.
--> 901 return self._enqueue(self, queue, global_size, local_size, *args, **kwargs)
File <pyopencl invoker for 'injSrc'>:7, in enqueue_knl_injSrc(self, queue, global_size, local_size, arg0, arg1, arg2, arg3, arg4, arg5, arg6, arg7, arg8, arg9, arg10, arg11, arg12, arg13, arg14, arg15, arg16, arg17, global_offset, g_times_l, allow_empty_ndrange, wait_for)
LogicError: clSetKernelArg failed: INVALID_ARG_SIZE - when processing arg#18 (1-based):
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