I'm trying to convert from a tensor to a numpy array, but whenever I do, I get an error
python: /home/mobile/Downloads/CUV/src/cuv/basics/tensor.hpp:1138: bool cuv::tensor<V, M, L>::copy_memory(const cuv::tensor<V, _M, _L>&, bool, cudaStream_t) [with OM = cuv::dev_memory_space; OL = cuv::row_major; V = float; M = cuv::host_memory_space; L = cuv::row_major; cudaStream_t = CUstream_st*]: Assertion `m_memory.get()' failed.
Aborted (core dumped)
Even when it is quite simple such as the example1.py:
import cuv_python as cp
import numpy as np
h = np.zeros((1,256)) # create numpy matrix
d = cp.dev_tensor_float(h) # constructs by copying numpy_array
h2 = np.zeros((1,256)).copy("F") # create numpy matrix
d2 = cp.dev_tensor_float_cm(h2) # creates dev_tensor_float_cm (column-major float) object
cp.fill(d,1) # terse form
cp.apply_nullary_functor(d,cp.nullary_functor.FILL,1) # verbose form
h=d.np # pull and convert to numpy
print type(h)
assert(np.sum(h) == 256)
assert(cp.sum(d) == 256)
d.dealloc() # explicitly deallocate memory (optional)
I don't have any problems with the C++ examples but whenever a program runs into something such as h=d.np I get that assertion failed error. Any ideas?
I'm trying to convert from a tensor to a numpy array, but whenever I do, I get an error
python: /home/mobile/Downloads/CUV/src/cuv/basics/tensor.hpp:1138: bool cuv::tensor<V, M, L>::copy_memory(const cuv::tensor<V, _M, _L>&, bool, cudaStream_t) [with OM = cuv::dev_memory_space; OL = cuv::row_major; V = float; M = cuv::host_memory_space; L = cuv::row_major; cudaStream_t = CUstream_st*]: Assertion `m_memory.get()' failed.
Aborted (core dumped)
Even when it is quite simple such as the example1.py:
import cuv_python as cp
import numpy as np
h = np.zeros((1,256)) # create numpy matrix
d = cp.dev_tensor_float(h) # constructs by copying numpy_array
h2 = np.zeros((1,256)).copy("F") # create numpy matrix
d2 = cp.dev_tensor_float_cm(h2) # creates dev_tensor_float_cm (column-major float) object
cp.fill(d,1) # terse form
cp.apply_nullary_functor(d,cp.nullary_functor.FILL,1) # verbose form
h=d.np # pull and convert to numpy
print type(h)
assert(np.sum(h) == 256)
assert(cp.sum(d) == 256)
d.dealloc() # explicitly deallocate memory (optional)
I don't have any problems with the C++ examples but whenever a program runs into something such as h=d.np I get that assertion failed error. Any ideas?