Hope I do you use the trans parameter? Do you use Python 3? Make sure to pass the trans parameter as a srting.
Le mer. 12 avr. 2017 14:06, Peter St. John <[email protected]> a écrit : > This is partly related to #5844 > <https://github.com/Theano/Theano/issues/5844>, but I'm getting errors > when using theano's gpu_solve method: > > Here's the program I'm trying to get to work: > > import numpy as np > > import theano > from theano import tensor > import theano.tensor.slinalg as slinalg > > floatX = theano.config.floatX > > from theano.gpuarray.linalg import GpuCusolverSolve > > np.random.seed(0) > A_val = np.random.randn(10, 5, 5).astype(floatX) > b_val = np.random.randn(10, 5, 1).astype(floatX) > > x_np = np.linalg.solve(A_val, b_val) > > A = tensor.ftensor3() > A.tag.test_value = A_val > b = tensor.ftensor3() > b.tag.test_value = b_val > > x, _ = theano.scan( > lambda Ai, bi: slinalg.solve(Ai, bi), > sequences=[A, b]) > > fn = theano.function([A, b], [x]) > x_theano = fn(A_val, b_val) > > assert np.allclose(x_theano, x_np) > > > When I run it on the CPU, everything works 'fine', except for some minor > complaints: > $ THEANO_FLAGS=device=cpu python gpu_solve_test.py > /home/pstjohn/miniconda3/envs/pymc3/lib/python3.6/site-packages/nose_parameterized/__init__.py:7: > UserWarning: The 'nose-parameterized' package has been renamed > 'parameterized'. For the two step migration instructions, see: > https://github.com/wolever/parameterized#migrating-from-nose-parameterized-to-parameterized > (set NOSE_PARAMETERIZED_NO_WARN=1 to suppress this warning) > "The 'nose-parameterized' package has been renamed 'parameterized'. " > Can not use cuDNN on context None: cannot compile with cuDNN. We got this > error: > b'/tmp/try_flags_13i_4vht.c:4:19: fatal error: cudnn.h: No such file or > directory\n #include <cudnn.h>\n ^\ncompilation > terminated.\n' > Mapped name None to device cuda: Tesla K40c (0000:04:00.0) > > > But on the GPU, the linear solve fails: > $ THEANO_FLAGS=device=cuda0 python gpu_solve_test.py > Can not use cuDNN on context None: cannot compile with cuDNN. We got this > error: > b'/tmp/try_flags_o6g40qsx.c:4:19: fatal error: cudnn.h: No such file or > directory\n #include <cudnn.h>\n ^\ncompilation > terminated.\n' > Mapped name None to device cuda0: Tesla K40c (0000:04:00.0) > /home/pstjohn/miniconda3/envs/pymc3/lib/python3.6/site-packages/nose_parameterized/__init__.py:7: > UserWarning: The 'nose-parameterized' package has been renamed > 'parameterized'. For the two step migration instructions, see: > https://github.com/wolever/parameterized#migrating-from-nose-parameterized-to-parameterized > (set NOSE_PARAMETERIZED_NO_WARN=1 to suppress this warning) > "The 'nose-parameterized' package has been renamed 'parameterized'. " > Traceback (most recent call last): > File "theano/scan_module/scan_perform.pyx", line 397, in > theano.scan_module.scan_perform.perform > (/home/pstjohn/.theano/compiledir_Linux-4.4--generic-x86_64-with-debian-stretch-sid-x86_64-3.6.1-64/scan_perform/mod.cpp:4490) > File "/home/pstjohn/Packages/Theano/theano/gof/op.py", line 888, in rval > r = p(n, [x[0] for x in i], o) > File "/home/pstjohn/Packages/Theano/theano/gpuarray/linalg.py", line > 208, in perform > pivots_ptr, b_ptr, ldb, dev_info_ptr) > File > "/home/pstjohn/miniconda3/envs/pymc3/lib/python3.6/site-packages/skcuda/cusolver.py", > line 637, in cusolverDnSgetrs > trans = trans.encode('ascii') > AttributeError: 'int' object has no attribute 'encode' > > During handling of the above exception, another exception occurred: > > Traceback (most recent call last): > File "/home/pstjohn/Packages/Theano/theano/compile/function_module.py", > line 884, in __call__ > self.fn() if output_subset is None else\ > File "/home/pstjohn/Packages/Theano/theano/scan_module/scan_op.py", line > 963, in rval > r = p(n, [x[0] for x in i], o) > File "/home/pstjohn/Packages/Theano/theano/scan_module/scan_op.py", line > 952, in p > self, node) > File "theano/scan_module/scan_perform.pyx", line 405, in > theano.scan_module.scan_perform.perform > (/home/pstjohn/.theano/compiledir_Linux-4.4--generic-x86_64-with-debian-stretch-sid-x86_64-3.6.1-64/scan_perform/mod.cpp:4606) > File "/home/pstjohn/Packages/Theano/theano/gof/link.py", line 325, in > raise_with_op > reraise(exc_type, exc_value, exc_trace) > File > "/home/pstjohn/miniconda3/envs/pymc3/lib/python3.6/site-packages/six.py", > line 685, in reraise > raise value.with_traceback(tb) > File "theano/scan_module/scan_perform.pyx", line 397, in > theano.scan_module.scan_perform.perform > (/home/pstjohn/.theano/compiledir_Linux-4.4--generic-x86_64-with-debian-stretch-sid-x86_64-3.6.1-64/scan_perform/mod.cpp:4490) > File "/home/pstjohn/Packages/Theano/theano/gof/op.py", line 888, in rval > r = p(n, [x[0] for x in i], o) > File "/home/pstjohn/Packages/Theano/theano/gpuarray/linalg.py", line > 208, in perform > pivots_ptr, b_ptr, ldb, dev_info_ptr) > File > "/home/pstjohn/miniconda3/envs/pymc3/lib/python3.6/site-packages/skcuda/cusolver.py", > line 637, in cusolverDnSgetrs > trans = trans.encode('ascii') > AttributeError: 'int' object has no attribute 'encode' > Apply node that caused the error: GpuCusolverSolve{A_structure='general', > trans='N', inplace=False}(GpuContiguous.0, GpuContiguous.0) > Toposort index: 2 > Inputs types: [GpuArrayType<None>(float32, matrix), > GpuArrayType<None>(float32, matrix)] > Inputs shapes: [(5, 5), (5, 1)] > Inputs strides: [(20, 4), (4, 4)] > Inputs values: ['not shown', gpuarray.array([[ 0.52106488], > [-0.57578796], > [ 0.14195317], > [-0.31932843], > [ 0.69153875]], dtype=float32)] > Outputs clients: [['output']] > > HINT: Re-running with most Theano optimization disabled could give you a > back-trace of when this node was created. This can be done with by setting > the Theano flag 'optimizer=fast_compile'. If that does not work, Theano > optimizations can be disabled with 'optimizer=None'. > HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and > storage map footprint of this apply node. > > During handling of the above exception, another exception occurred: > > Traceback (most recent call last): > File "gpu_solve_test.py", line 27, in <module> > x_theano = fn(A_val, b_val) > File "/home/pstjohn/Packages/Theano/theano/compile/function_module.py", > line 898, in __call__ > storage_map=getattr(self.fn, 'storage_map', None)) > File "/home/pstjohn/Packages/Theano/theano/gof/link.py", line 325, in > raise_with_op > reraise(exc_type, exc_value, exc_trace) > File > "/home/pstjohn/miniconda3/envs/pymc3/lib/python3.6/site-packages/six.py", > line 685, in reraise > raise value.with_traceback(tb) > File "/home/pstjohn/Packages/Theano/theano/compile/function_module.py", > line 884, in __call__ > self.fn() if output_subset is None else\ > File "/home/pstjohn/Packages/Theano/theano/scan_module/scan_op.py", line > 963, in rval > r = p(n, [x[0] for x in i], o) > File "/home/pstjohn/Packages/Theano/theano/scan_module/scan_op.py", line > 952, in p > self, node) > File "theano/scan_module/scan_perform.pyx", line 405, in > theano.scan_module.scan_perform.perform > (/home/pstjohn/.theano/compiledir_Linux-4.4--generic-x86_64-with-debian-stretch-sid-x86_64-3.6.1-64/scan_perform/mod.cpp:4606) > File "/home/pstjohn/Packages/Theano/theano/gof/link.py", line 325, in > raise_with_op > reraise(exc_type, exc_value, exc_trace) > File > "/home/pstjohn/miniconda3/envs/pymc3/lib/python3.6/site-packages/six.py", > line 685, in reraise > raise value.with_traceback(tb) > File "theano/scan_module/scan_perform.pyx", line 397, in > theano.scan_module.scan_perform.perform > (/home/pstjohn/.theano/compiledir_Linux-4.4--generic-x86_64-with-debian-stretch-sid-x86_64-3.6.1-64/scan_perform/mod.cpp:4490) > File "/home/pstjohn/Packages/Theano/theano/gof/op.py", line 888, in rval > r = p(n, [x[0] for x in i], o) > File "/home/pstjohn/Packages/Theano/theano/gpuarray/linalg.py", line > 208, in perform > pivots_ptr, b_ptr, ldb, dev_info_ptr) > File > "/home/pstjohn/miniconda3/envs/pymc3/lib/python3.6/site-packages/skcuda/cusolver.py", > line 637, in cusolverDnSgetrs > trans = trans.encode('ascii') > AttributeError: 'int' object has no attribute 'encode' > Apply node that caused the error: GpuCusolverSolve{A_structure='general', > trans='N', inplace=False}(GpuContiguous.0, GpuContiguous.0) > Toposort index: 2 > Inputs types: [GpuArrayType<None>(float32, matrix), > GpuArrayType<None>(float32, matrix)] > Inputs shapes: [(5, 5), (5, 1)] > Inputs strides: [(20, 4), (4, 4)] > Inputs values: ['not shown', gpuarray.array([[ 0.52106488], > [-0.57578796], > [ 0.14195317], > [-0.31932843], > [ 0.69153875]], dtype=float32)] > Outputs clients: [['output']] > > HINT: Re-running with most Theano optimization disabled could give you a > back-trace of when this node was created. This can be done with by setting > the Theano flag 'optimizer=fast_compile'. If that does not work, Theano > optimizations can be disabled with 'optimizer=None'. > HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and > storage map footprint of this apply node. > Apply node that caused the error: > for{gpu,scan_fn}(Elemwise{minimum,no_inplace}.0, > GpuSubtensor{int64:int64:int8}.0, GpuSubtensor{int64:int64:int8}.0, > Elemwise{minimum,no_inplace}.0) > Toposort index: 20 > Inputs types: [TensorType(int64, scalar), GpuArrayType<None>(float32, 3D), > GpuArrayType<None>(float32, 3D), TensorType(int64, scalar)] > Inputs shapes: [(), (10, 5, 5), (10, 5, 1), ()] > Inputs strides: [(), (100, 20, 4), (20, 4, 4), ()] > Inputs values: [array(10), 'not shown', 'not shown', array(10)] > Outputs clients: [[HostFromGpu(gpuarray)(for{gpu,scan_fn}.0)]] > > HINT: Re-running with most Theano optimization disabled could give you a > back-trace of when this node was created. This can be done with by setting > the Theano flag 'optimizer=fast_compile'. If that does not work, Theano > optimizations can be disabled with 'optimizer=None'. > HINT: Use the Theano flag 'exception_verbosity=high' for a debugprint and > storage map footprint of this apply node. > > > Is there a separate issue from the 'trans' error from using scan? > > -- > > --- > You received this message because you are subscribed to the Google Groups > "theano-users" group. > To unsubscribe from this group and stop receiving emails from it, send an > email to [email protected]. > For more options, visit https://groups.google.com/d/optout. > -- --- You received this message because you are subscribed to the Google Groups "theano-users" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. For more options, visit https://groups.google.com/d/optout.
