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I am not able to train using any dataset. I always get this error when I run python train.py
Traceback (most recent call last):
File "train.py", line 5, in <module>
import nn_utils.network_utils as network_utils
File "/home/n1amr/GRUV/nn_utils/network_utils.py", line 1, in <module>
from keras.models import Sequential
File "/home/n1amr/.pyenv/versions/env_nn/lib/python2.7/site-packages/keras/models.py", line 3, in <module>
import theano
File "/home/n1amr/.pyenv/versions/env_nn/lib/python2.7/site-packages/theano/__init__.py", line 66, in <module>
from theano.compile import (
File "/home/n1amr/.pyenv/versions/env_nn/lib/python2.7/site-packages/theano/compile/__init__.py", line 10, in <module>
from theano.compile.function_module import *
File "/home/n1amr/.pyenv/versions/env_nn/lib/python2.7/site-packages/theano/compile/function_module.py", line 21, in <module>
import theano.compile.mode
File "/home/n1amr/.pyenv/versions/env_nn/lib/python2.7/site-packages/theano/compile/mode.py", line 10, in <module>
import theano.gof.vm
File "/home/n1amr/.pyenv/versions/env_nn/lib/python2.7/site-packages/theano/gof/vm.py", line 662, in <module>
from . import lazylinker_c
File "/home/n1amr/.pyenv/versions/env_nn/lib/python2.7/site-packages/theano/gof/lazylinker_c.py", line 127, in <module>
preargs=args)
File "/home/n1amr/.pyenv/versions/env_nn/lib/python2.7/site-packages/theano/gof/cmodule.py", line 2316, in compile_str
(status, compile_stderr.replace('\n', '. ')))
Exception: Compilation failed (return status=1): /home/n1amr/.pyenv/versions/2.7.12/lib/libpython2.7.a(posixmodule.o): In function `posix_tmpnam':. /home/n1amr/.pyenv/sources/2.7.12/Python-2.7.12/./Modules/posixmodule.c:7631: warning: the use of `tmpnam_r' is dangerous, better use `mkstemp'. /home/n1amr/.pyenv/versions/2.7.12/lib/libpython2.7.a(posixmodule.o): In function `posix_tempnam':. /home/n1amr/.pyenv/sources/2.7.12/Python-2.7.12/./Modules/posixmodule.c:7578: warning: the use of `tempnam' is dangerous, better use `mkstemp'. /usr/bin/ld: /home/n1amr/.pyenv/versions/2.7.12/lib/libpython2.7.a(classobject.o): relocation R_X86_64_PC32 against symbol `_Py_NotImplementedStruct' can not be used when making a shared object; recompile with -fPIC. /usr/bin/ld: final link failed: Bad value. collect2: error: ld returned 1 exit status.
Complete error message:
00001 #include
00002 #include "theano_mod_helper.h"
00003 #include "structmember.h"
00004 #include
00005
00006 #if PY_VERSION_HEX >= 0x03000000
00007 #include "numpy/npy_3kcompat.h"
00008 #define PyCObject_AsVoidPtr NpyCapsule_AsVoidPtr
00009 #define PyCObject_GetDesc NpyCapsule_GetDesc
00010 #define PyCObject_Check NpyCapsule_Check
00011 #endif
00012
00013 #ifndef Py_TYPE
00014 #define Py_TYPE(obj) obj->ob_type
00015 #endif
00016
00017 /**
00018
00019 TODO:
00020 - Check max supported depth of recursion
00021 - CLazyLinker should add context information to errors caught during evaluation. Say what node we were on, add the traceback attached to the node.
00022 - Clear containers of fully-useed intermediate results if allow_gc is 1
00023 - Add timers for profiling
00024 - Add support for profiling space used.
00025
00026
00027 */
00028 static double pytime(const struct timeval * tv)
00029 {
00030 struct timeval t;
00031 if (!tv)
00032 {
00033 tv = &t;
00034 gettimeofday(&t, NULL);
00035 }
00036 return (double) tv->tv_sec + (double) tv->tv_usec / 1000000.0;
00037 }
00038
00039 /**
00040 Helper routine to convert a PyList of integers to a c array of integers.
00041 */
00042 static int unpack_list_of_ssize_t(PyObject * pylist, Py_ssize_t **dst, Py_ssize_t *len,
00043 const char* kwname)
00044 {
00045 Py_ssize_t buflen, *buf;
00046 if (!PyList_Check(pylist))
00047 {
00048 PyErr_Format(PyExc_TypeError, "%s must be list", kwname);
00049 return -1;
00050 }
00051 assert (NULL == *dst);
00052 *len = buflen = PyList_Size(pylist);
00053 *dst = buf = (Py_ssize_t*)calloc(buflen, sizeof(Py_ssize_t));
00054 assert(buf);
00055 for (int ii = 0; ii < buflen; ++ii)
00056 {
00057 PyObject * el_i = PyList_GetItem(pylist, ii);
00058 Py_ssize_t n_i = PyNumber_AsSsize_t(el_i, PyExc_IndexError);
00059 if (PyErr_Occurred())
00060 {
00061 free(buf);
00062 *dst = NULL;
00063 return -1;
00064 }
00065 buf[ii] = n_i;
00066 }
00067 return 0;
00068 }
00069
00070 /**
00071
00072 CLazyLinker
00073
00074
00075 */
00076 typedef struct {
00077 PyObject_HEAD
00078 /* Type-specific fields go here. */
00079 PyObject * nodes; // the python list of nodes
00080 PyObject * thunks; // python list of thunks
00081 PyObject * pre_call_clear; //list of cells to clear on call.
00082 int allow_gc;
00083 Py_ssize_t n_applies;
00084 int n_vars; // number of variables in the graph
00085 int * var_computed; // 1 or 0 for every variable
00086 PyObject ** var_computed_cells;
00087 PyObject ** var_value_cells;
00088 Py_ssize_t **dependencies; // list of vars dependencies for GC
00089 Py_ssize_t *n_dependencies;
00090
00091 Py_ssize_t n_output_vars;
00092 Py_ssize_t * output_vars; // variables that *must* be evaluated by call
00093
00094 int * is_lazy; // 1 or 0 for every thunk
00095
00096 Py_ssize_t * var_owner; // nodes[[var_owner[var_idx]]] is var[var_idx]->owner
00097 int * var_has_owner; // 1 or 0
00098
00099 Py_ssize_t * node_n_inputs;
00100 Py_ssize_t * node_n_outputs;
00101 Py_ssize_t ** node_inputs;
00102 Py_ssize_t ** node_outputs;
00103 Py_ssize_t * node_inputs_outputs_base; // node_inputs and node_outputs point into this
00104 Py_ssize_t * node_n_prereqs;
00105 Py_ssize_t ** node_prereqs;
00106
00107 Py_ssize_t * update_storage; // input cells to update with the last outputs in output_vars
00108 Py_ssize_t n_updates;
00109
00110 void ** thunk_cptr_fn;
00111 void ** thunk_cptr_data;
00112 PyObject * call_times;
00113 PyObject * call_counts;
00114 int do_timing;
00115 int need_update_inputs;
00116 int position_of_error; // -1 for no error, otw the index into `thunks` that failed.
00117 } CLazyLinker;
00118
00119
00120 static void
00121 CLazyLinker_dealloc(PyObject* _self)
00122 {
00123 CLazyLinker* self = (CLazyLinker *) _self;
00124 free(self->thunk_cptr_fn);
00125 free(self->thunk_cptr_data);
00126
00127 free(self->is_lazy);
00128
00129 free(self->update_storage);
00130
00131 if (self->node_n_prereqs)
00132 {
00133 for (int i = 0; i < self->n_applies; ++i)
00134 {
00135 free(self->node_prereqs[i]);
00136 }
00137 }
00138 free(self->node_n_prereqs);
00139 free(self->node_prereqs);
00140 free(self->node_inputs_outputs_base);
00141 free(self->node_n_inputs);
00142 free(self->node_n_outputs);
00143 free(self->node_inputs);
00144 free(self->node_outputs);
00145
00146 if (self->dependencies)
00147 {
00148 for (int i = 0; i < self->n_vars; ++i)
00149 {
00150 free(self->dependencies[i]);
00151 }
00152 free(self->dependencies);
00153 free(self->n_dependencies);
00154 }
00155
00156 free(self->var_owner);
00157 free(self->var_has_owner);
00158 free(self->var_computed);
00159 if (self->var_computed_cells)
00160 {
00161 for (int i = 0; i < self->n_vars; ++i)
00162 {
00163 Py_DECREF(self->var_computed_cells[i]);
00164 Py_DECREF(self->var_value_cells[i]);
00165 }
00166 }
00167 free(self->var_computed_cells);
00168 free(self->var_value_cells);
00169 free(self->output_vars);
00170
00171 Py_XDECREF(self->nodes);
00172 Py_XDECREF(self->thunks);
00173 Py_XDECREF(self->call_times);
00174 Py_XDECREF(self->call_counts);
00175 Py_XDECREF(self->pre_call_clear);
00176 Py_TYPE(self)->tp_free((PyObject*)self);
00177 }
00178 static PyObject *
00179 CLazyLinker_new(PyTypeObject *type, PyObject *args, PyObject *kwds)
00180 {
00181 CLazyLinker *self;
00182
00183 self = (CLazyLinker *)type->tp_alloc(type, 0);
00184 if (self != NULL) {
00185 self->nodes = NULL;
00186 self->thunks = NULL;
00187 self->pre_call_clear = NULL;
00188
00189 self->allow_gc = 1;
00190 self->n_applies = 0;
00191 self->n_vars = 0;
00192 self->var_computed = NULL;
00193 self->var_computed_cells = NULL;
00194 self->var_value_cells = NULL;
00195 self->dependencies = NULL;
00196 self->n_dependencies = NULL;
00197
00198 self->n_output_vars = 0;
00199 self->output_vars = NULL;
00200
00201 self->is_lazy = NULL;
00202
00203 self->var_owner = NULL;
00204 self->var_has_owner = NULL;
00205
00206 self->node_n_inputs = NULL;
00207 self->node_n_outputs = NULL;
00208 self->node_inputs = NULL;
00209 self->node_outputs = NULL;
00210 self->node_inputs_outputs_base = NULL;
00211 self->node_prereqs = NULL;
00212 self->node_n_prereqs = NULL;
00213
00214 self->update_storage = NULL;
00215 self->n_updates = 0;
00216
00217 self->thunk_cptr_data = NULL;
00218 self->thunk_cptr_fn = NULL;
00219 self->call_times = NULL;
00220 self->call_counts = NULL;
00221 self->do_timing = 0;
00222
00223 self->need_update_inputs = 0;
00224 self->position_of_error = -1;
00225 }
00226 return (PyObject *)self;
00227 }
00228
00229 static int
00230 CLazyLinker_init(CLazyLinker *self, PyObject *args, PyObject *kwds)
00231 {
00232 static char *kwlist[] = {
00233 (char*)"nodes",
00234 (char*)"thunks",
00235 (char*)"pre_call_clear",
00236 (char*)"allow_gc",
00237 (char*)"call_counts",
00238 (char*)"call_times",
00239 (char*)"compute_map_list",
00240 (char*)"storage_map_list",
00241 (char*)"base_input_output_list",
00242 (char*)"node_n_inputs",
00243 (char*)"node_n_outputs",
00244 (char*)"node_input_offset",
00245 (char*)"node_output_offset",
00246 (char*)"var_owner",
00247 (char*)"is_lazy_list",
00248 (char*)"output_vars",
00249 (char*)"node_prereqs",
00250 (char*)"node_output_size",
00251 (char*)"update_storage",
00252 (char*)"dependencies",
00253 NULL};
00254
00255 PyObject *compute_map_list=NULL,
00256 *storage_map_list=NULL,
00257 *base_input_output_list=NULL,
00258 *node_n_inputs=NULL,
00259 *node_n_outputs=NULL,
00260 *node_input_offset=NULL,
00261 *node_output_offset=NULL,
00262 *var_owner=NULL,
00263 *is_lazy=NULL,
00264 *output_vars=NULL,
00265 *node_prereqs=NULL,
00266 *node_output_size=NULL,
00267 *update_storage=NULL,
00268 *dependencies=NULL;
00269
00270 assert(!self->nodes);
00271 if (! PyArg_ParseTupleAndKeywords(args, kwds, "OOOiOOOOOOOOOOOOOOOO", kwlist,
00272 &self->nodes,
00273 &self->thunks,
00274 &self->pre_call_clear,
00275 &self->allow_gc,
00276 &self->call_counts,
00277 &self->call_times,
00278 &compute_map_list,
00279 &storage_map_list,
00280 &base_input_output_list,
00281 &node_n_inputs,
00282 &node_n_outputs,
00283 &node_input_offset,
00284 &node_output_offset,
00285 &var_owner,
00286 &is_lazy,
00287 &output_vars,
00288 &node_prereqs,
00289 &node_output_size,
00290 &update_storage,
00291 &dependencies
00292 ))
00293 return -1;
00294 Py_INCREF(self->nodes);
00295 Py_INCREF(self->thunks);
00296 Py_INCREF(self->pre_call_clear);
00297 Py_INCREF(self->call_counts);
00298 Py_INCREF(self->call_times);
00299
00300 Py_ssize_t n_applies = PyList_Size(self->nodes);
00301
00302 self->n_applies = n_applies;
00303 self->n_vars = PyList_Size(var_owner);
00304
00305 if (PyList_Size(self->thunks) != n_applies) return -1;
00306 if (PyList_Size(self->call_counts) != n_applies) return -1;
00307 if (PyList_Size(self->call_times) != n_applies) return -1;
00308
00309 // allocated and initialize thunk_cptr_data and thunk_cptr_fn
00310 if (n_applies)
00311 {
00312 self->thunk_cptr_data = (void**)calloc(n_applies, sizeof(void*));
00313 self->thunk_cptr_fn = (void**)calloc(n_applies, sizeof(void*));
00314 self->is_lazy = (int*)calloc(n_applies, sizeof(int));
00315 self->node_prereqs = (Py_ssize_t**)calloc(n_applies, sizeof(Py_ssize_t*));
00316 self->node_n_prereqs = (Py_ssize_t*)calloc(n_applies, sizeof(Py_ssize_t));
00317 assert(self->node_prereqs);
00318 assert(self->node_n_prereqs);
00319 assert(self->is_lazy);
00320 assert(self->thunk_cptr_fn);
00321 assert(self->thunk_cptr_data);
00322
00323 for (int i = 0; i < n_applies; ++i)
00324 {
00325 PyObject * thunk = PyList_GetItem(self->thunks, i);
00326 //thunk is borrowed
00327 if (PyObject_HasAttrString(thunk, "cthunk"))
00328 {
00329 PyObject * cthunk = PyObject_GetAttrString(thunk, "cthunk");
00330 //new reference
00331 assert (cthunk && PyCObject_Check(cthunk));
00332 self->thunk_cptr_fn[i] = PyCObject_AsVoidPtr(cthunk);
00333 self->thunk_cptr_data[i] = PyCObject_GetDesc(cthunk);
00334 Py_DECREF(cthunk);
00335 // cthunk is kept alive by membership in self->thunks
00336 }
00337
00338 PyObject * el_i = PyList_GetItem(is_lazy, i);
00339 self->is_lazy[i] = PyNumber_AsSsize_t(el_i, NULL);
00340
00341 /* now get the prereqs */
00342 el_i = PyList_GetItem(node_prereqs, i);
00343 assert (PyList_Check(el_i));
00344 self->node_n_prereqs[i] = PyList_Size(el_i);
00345 if (self->node_n_prereqs[i])
00346 {
00347 self->node_prereqs[i] = (Py_ssize_t*)malloc(
00348 PyList_Size(el_i)*sizeof(Py_ssize_t));
00349 for (int j = 0; j < PyList_Size(el_i); ++j)
00350 {
00351 PyObject * el_ij = PyList_GetItem(el_i, j);
00352 Py_ssize_t N = PyNumber_AsSsize_t(el_ij, PyExc_IndexError);
00353 if (PyErr_Occurred())
00354 return -1;
00355 // N < n. variables
00356 assert(N < PyList_Size(var_owner));
00357 self->node_prereqs[i][j] = N;
00358 }
00359 }
00360 }
00361 }
00362 if (PyList_Check(base_input_output_list))
00363 {
00364 Py_ssize_t n_inputs_outputs_base = PyList_Size(base_input_output_list);
00365 self->node_inputs_outputs_base = (Py_ssize_t*)calloc(n_inputs_outputs_base,sizeof(Py_ssize_t));
00366 assert(self->node_inputs_outputs_base);
00367 for (int i = 0; i < n_inputs_outputs_base; ++i)
00368 {
00369 PyObject *el_i = PyList_GetItem(base_input_output_list, i);
00370 Py_ssize_t idx = PyNumber_AsSsize_t(el_i, PyExc_IndexError);
00371 if (PyErr_Occurred()) return -1;
00372 self->node_inputs_outputs_base[i] = idx;
00373 }
00374 self->node_n_inputs = (Py_ssize_t*)calloc(n_applies,sizeof(Py_ssize_t));
00375 assert(self->node_n_inputs);
00376 self->node_n_outputs = (Py_ssize_t*)calloc(n_applies,sizeof(Py_ssize_t));
00377 assert(self->node_n_outputs);
00378 self->node_inputs = (Py_ssize_t**)calloc(n_applies,sizeof(Py_ssize_t*));
00379 assert(self->node_inputs);
00380 self->node_outputs = (Py_ssize_t**)calloc(n_applies,sizeof(Py_ssize_t*));
00381 assert(self->node_outputs);
00382 for (int i = 0; i < n_applies; ++i)
00383 {
00384 Py_ssize_t N;
00385 N = PyNumber_AsSsize_t(PyList_GetItem(node_n_inputs, i),PyExc_IndexError);
00386 if (PyErr_Occurred()) return -1;
00387 assert (N <= n_inputs_outputs_base);
00388 self->node_n_inputs[i] = N;
00389 N = PyNumber_AsSsize_t(PyList_GetItem(node_n_outputs, i),PyExc_IndexError);
00390 if (PyErr_Occurred()) return -1;
00391 assert (N <= n_inputs_outputs_base);
00392 self->node_n_outputs[i] = N;
00393 N = PyNumber_AsSsize_t(PyList_GetItem(node_input_offset, i),PyExc_IndexError);
00394 if (PyErr_Occurred()) return -1;
00395 assert (N <= n_inputs_outputs_base);
00396 self->node_inputs[i] = &self->node_inputs_outputs_base[N];
00397 N = PyNumber_AsSsize_t(PyList_GetItem(node_output_offset, i),PyExc_IndexError);
00398 if (PyErr_Occurred()) return -1;
00399 assert (N <= n_inputs_outputs_base);
00400 self->node_outputs[i] = &self->node_inputs_outputs_base[N];
00401 }
00402 }
00403 else
00404 {
00405 PyErr_SetString(PyExc_TypeError, "base_input_output_list must be list");
00406 return -1;
00407 }
00408
00409 // allocation for var_owner
00410 if (PyList_Check(var_owner))
00411 {
00412 self->var_owner = (Py_ssize_t*)calloc(self->n_vars,sizeof(Py_ssize_t));
00413 self->var_has_owner = (int*)calloc(self->n_vars,sizeof(int));
00414 self->var_computed = (int*)calloc(self->n_vars,sizeof(int));
00415 self->var_computed_cells = (PyObject**)calloc(self->n_vars,sizeof(PyObject*));
00416 self->var_value_cells = (PyObject**)calloc(self->n_vars,sizeof(PyObject*));
00417 for (int i = 0; i < self->n_vars; ++i)
00418 {
00419 PyObject * el_i = PyList_GetItem(var_owner, i);
00420 if (el_i == Py_None)
00421 {
00422 self->var_has_owner[i] = 0;
00423 }
00424 else
00425 {
00426 Py_ssize_t N = PyNumber_AsSsize_t(el_i, PyExc_IndexError);
00427 if (PyErr_Occurred()) return -1;
00428 assert (N <= n_applies);
00429 self->var_owner[i] = N;
00430 self->var_has_owner[i] = 1;
00431 }
00432 self->var_computed_cells[i] = PyList_GetItem(compute_map_list, i);
00433 Py_INCREF(self->var_computed_cells[i]);
00434 self->var_value_cells[i] = PyList_GetItem(storage_map_list, i);
00435 Py_INCREF(self->var_value_cells[i]);
00436 }
00437 }
00438 else
00439 {
00440 PyErr_SetString(PyExc_TypeError, "var_owner must be list");
00441 return -1;
00442 }
00443
00444 if (dependencies != Py_None)
00445 {
00446 self->dependencies = (Py_ssize_t**)calloc(self->n_vars, sizeof(Py_ssize_t *));
00447 self->n_dependencies = (Py_ssize_t*)calloc(self->n_vars, sizeof(Py_ssize_t));
00448 assert(self->dependencies);
00449 assert(self->n_dependencies);
00450
00451 for (int i = 0; i < self->n_vars; ++i)
00452 {
00453 PyObject *tmp = PyList_GetItem(dependencies, i);
00454 // refcounting - tmp is borrowed
00455 if (unpack_list_of_ssize_t(tmp, &self->dependencies[i], &self->n_dependencies[i],
00456 "dependencies"))
00457 return -1;
00458 }
00459 }
00460
00461 if (unpack_list_of_ssize_t(output_vars, &self->output_vars, &self->n_output_vars,
00462 "output_vars"))
00463 return -1;
00464 for (int i = 0; i < self->n_output_vars; ++i)
00465 {
00466 assert(self->output_vars[i] < self->n_vars);
00467 }
00468 if (unpack_list_of_ssize_t(update_storage, &self->update_storage, &self->n_updates,
00469 "updates_storage"))
00470 return -1;
00471 return 0;
00472 }
00473 static void set_position_of_error(CLazyLinker * self, int owner_idx)
00474 {
00475 if (self->position_of_error == -1)
00476 {
00477 self->position_of_error = owner_idx;
00478 }
00479 }
00480 static PyObject * pycall(CLazyLinker * self, Py_ssize_t node_idx, int verbose)
00481 {
00482 // call thunk to see which inputs it wants
00483 PyObject * thunk = PyList_GetItem(self->thunks, node_idx);
00484 // refcounting - thunk is borrowed
00485 PyObject * rval = NULL;
00486 if (self->do_timing)
00487 {
00488 double t0 = pytime(NULL);
00489 if (verbose) fprintf(stderr, "calling via Python (node %i)\n", (int)node_idx);
00490 rval = PyObject_CallObject(thunk, NULL);
00491 if (rval)
00492 {
00493 double t1 = pytime(NULL);
00494 double ti = PyFloat_AsDouble(
00495 PyList_GetItem(self->call_times, node_idx));
00496 PyList_SetItem(self->call_times, node_idx,
00497 PyFloat_FromDouble(t1 - t0 + ti));
00498 PyObject * count = PyList_GetItem(self->call_counts, node_idx);
00499 long icount = PyInt_AsLong(count);
00500 PyList_SetItem(self->call_counts, node_idx,
00501 PyInt_FromLong(icount + 1));
00502 }
00503 }
00504 else
00505 {
00506 if (verbose)
00507 {
00508 fprintf(stderr, "calling via Python (node %i)\n", (int)node_idx);
00509 }
00510 rval = PyObject_CallObject(thunk, NULL);
00511 }
00512 return rval;
00513 }
00514 static int c_call(CLazyLinker * self, Py_ssize_t node_idx, int verbose)
00515 {
00516 void * ptr_addr = self->thunk_cptr_fn[node_idx];
00517 int (*fn)(void*) = (int (*)(void*))(ptr_addr);
00518 if (verbose) fprintf(stderr, "calling non-lazy shortcut (node %i)\n", (int)node_idx);
00519 int err = 0;
00520 if (self->do_timing)
00521 {
00522 double t0 = pytime(NULL);
00523 err = fn(self->thunk_cptr_data[node_idx]);
00524 double t1 = pytime(NULL);
00525 double ti = PyFloat_AsDouble(PyList_GetItem(self->call_times, node_idx));
00526 PyList_SetItem(self->call_times, node_idx, PyFloat_FromDouble(t1 - t0 + ti));
00527 PyObject * count = PyList_GetItem(self->call_counts, node_idx);
00528 long icount = PyInt_AsLong(count);
00529 PyList_SetItem(self->call_counts, node_idx, PyInt_FromLong(icount+1));
00530 }
00531 else
00532 {
00533 err = fn(self->thunk_cptr_data[node_idx]);
00534 }
00535
00536 if (err)
00537 {
00538 // cast the argument to a PyList (as described near line 226 of cc.py)
00539 PyObject * __ERROR = ((PyObject**)self->thunk_cptr_data[node_idx])[0];
00540 assert (PyList_Check(__ERROR));
00541 assert (PyList_Size(__ERROR) == 3);
00542 PyObject * err_type = PyList_GetItem(__ERROR, 0); //stolen ref
00543 PyObject * err_msg = PyList_GetItem(__ERROR, 1); //stolen ref
00544 PyObject * err_trace = PyList_GetItem(__ERROR, 2); //stolen ref
00545 PyList_SET_ITEM(__ERROR, 0, Py_None); Py_INCREF(Py_None); //clobbers old ref
00546 PyList_SET_ITEM(__ERROR, 1, Py_None); Py_INCREF(Py_None); //clobbers old ref
00547 PyList_SET_ITEM(__ERROR, 2, Py_None); Py_INCREF(Py_None); //clobbers old ref
00548
00549 assert(!PyErr_Occurred()); // because CLinker hid the exception in __ERROR aka data
00550 PyErr_Restore(err_type, err_msg, err_trace); //steals refs to args
00551 }
00552 if (err) set_position_of_error(self, node_idx);
00553 return err;
00554 }
00555 static
00556 int lazy_rec_eval(CLazyLinker * self, Py_ssize_t var_idx, PyObject*one, PyObject*zero)
00557 {
00558 PyObject *rval = NULL;
00559 int verbose = 0;
00560 int err = 0;
00561
00562 if (verbose) fprintf(stderr, "lazy_rec computing %i\n", (int)var_idx);
00563
00564 if (self->var_computed[var_idx] || !self->var_has_owner[var_idx])
00565 return 0;
00566
00567 Py_ssize_t owner_idx = self->var_owner[var_idx];
00568
00569 // STEP 1: compute the pre-requirements of the node
00570 // Includes input nodes for non-lazy ops.
00571 for (int i = 0; i < self->node_n_prereqs[owner_idx]; ++i)
00572 {
00573 Py_ssize_t prereq_idx = self->node_prereqs[owner_idx][i];
00574 if (!self->var_computed[prereq_idx])
00575 {
00576 err = lazy_rec_eval(self, prereq_idx, one, zero);
00577 if (err) return err;
00578 }
00579 assert (self->var_computed[prereq_idx]);
00580 }
00581
00582 // STEP 2: compute the node itself
00583 if (self->is_lazy[owner_idx])
00584 {
00585 // update the compute_map cells corresponding to the inputs of this thunk
00586 for (int i = 0; i < self->node_n_inputs[owner_idx]; ++i)
00587 {
00588 int in_idx = self->node_inputs[owner_idx][i];
00589 if (self->var_computed[in_idx])
00590 {
00591 Py_INCREF(one);
00592 err = PyList_SetItem(self->var_computed_cells[in_idx], 0, one);
00593 }
00594 else
00595 {
00596 Py_INCREF(zero);
00597 err = PyList_SetItem(self->var_computed_cells[in_idx], 0, zero);
00598 }
00599 if (err) goto fail;
00600 }
00601
00602 rval = pycall(self, owner_idx, verbose);
00603 // refcounting - rval is new ref
00604 //TODO: to prevent infinite loops
00605 // - consider check that a thunk does not ask for an input that is already computed
00606 if (rval == NULL)
00607 {
00608 assert (PyErr_Occurred());
00609 err = 1;
00610 goto fail;
00611 }
00612
00613 //update the computed-ness of any output cells
00614 for (int i = 0; i < self->node_n_outputs[owner_idx]; ++i)
00615 {
00616 int out_idx = self->node_outputs[owner_idx][i];
00617 PyObject * el_i = PyList_GetItem(self->var_computed_cells[out_idx], 0);
00618 Py_ssize_t N = PyNumber_AsSsize_t(el_i, PyExc_IndexError);
00619 if (PyErr_Occurred())
00620 {
00621 err = -1;
00622 goto pyfail;
00623 }
00624 assert (N==0 || N==1);
00625 self->var_computed[out_idx] = N;
00626 }
00627 if (!self->var_computed[var_idx])
00628 {
00629 /*
00630 * If self is not computed after the call, this means that some
00631 * inputs are needed. Compute the ones on the returned list
00632 * and try to compute the current node again (with recursive call).
00633 * This allows a node to request more nodes more than once before
00634 * finally yielding a result.
00635 */
00636 if (!PyList_Check(rval))
00637 {
00638 //TODO: More helpful error to help find *which node* made this
00639 // bad thunk
00640 PyErr_SetString(PyExc_TypeError,
00641 "lazy thunk should return a list");
00642 err = 1;
00643 goto pyfail;
00644 }
00645
00646 if (!PyList_Size(rval))
00647 {
00648 PyErr_SetString(PyExc_ValueError,
00649 "lazy thunk returned empty list without computing output");
00650 err = 1;
00651 goto pyfail;
00652 }
00653
00654 for (int i = 0; i < PyList_Size(rval); ++i)
00655 {
00656 PyObject * el_i = PyList_GetItem(rval, i);
00657 Py_ssize_t N = PyNumber_AsSsize_t(el_i, PyExc_IndexError);
00658 if (PyErr_Occurred())
00659 {
00660 err = 1;
00661 goto pyfail;
00662 }
00663 assert (N <= self->node_n_inputs[owner_idx]);
00664 Py_ssize_t input_idx = self->node_inputs[owner_idx][N];
00665 err = lazy_rec_eval(self, input_idx, one, zero);
00666 if (err) goto pyfail;
00667 }
00668
00669 Py_DECREF(rval);
00670 /*
00671 * We intentionally skip all the end-of-function processing
00672 * (mark outputs, GC) as it will be performed by the call
00673 * that actually manages to compute the result.
00674 */
00675 return lazy_rec_eval(self, var_idx, one, zero);
00676 }
00677
00678 Py_DECREF(rval);
00679 }
00680 else //owner is not a lazy op. Ensure all intputs are evaluated.
00681 {
00682 // loop over inputs to owner
00683 // call lazy_rec_eval on each one that is not computed.
00684 // if there's an error, pass it up the stack
00685 for (int i = 0; i < self->node_n_inputs[owner_idx]; ++i)
00686 {
00687 Py_ssize_t input_idx = self->node_inputs[owner_idx][i];
00688 if (!self->var_computed[input_idx])
00689 {
00690 err = lazy_rec_eval(self, input_idx, one, zero);
00691 if (err) return err;
00692 }
00693 assert (self->var_computed[input_idx]);
00694 }
00695
00696 // call the thunk for this owner.
00697 if (self->thunk_cptr_fn[owner_idx])
00698 {
00699 err = c_call(self, owner_idx, verbose);
00700 if (err) goto fail;
00701 }
00702 else
00703 {
00704 rval = pycall(self, owner_idx, verbose);
00705 //rval is new ref
00706 if (rval) //pycall returned normally (no exception)
00707 {
00708 if (rval == Py_None)
00709 {
00710 Py_DECREF(rval); //ignore a return of None
00711 }
00712 else if (PyList_Check(rval))
00713 {
00714 PyErr_SetString(PyExc_TypeError,
00715 "non-lazy thunk should return None, not list");
00716 err = 1;
00717 goto pyfail;
00718 }
00719 else // don't know what it returned, but it wasn't right.
00720 {
00721 PyErr_SetObject(PyExc_TypeError, rval);
00722 err = 1;
00723 // We don't release rval since we put it in the error above
00724 goto fail;
00725 }
00726 }
00727 else // pycall returned NULL (internal error)
00728 {
00729 err = 1;
00730 goto fail;
00731 }
00732 }
00733 }
00734
00735 // loop over all outputs and mark them as computed
00736 for (int i = 0; i < self->node_n_outputs[owner_idx]; ++i)
00737 {
00738 self->var_computed[self->node_outputs[owner_idx][i]] = 1;
00739 }
00740
00741 // Free vars that are not needed anymore
00742 if (self->allow_gc)
00743 {
00744 for (int i = 0; i < self->node_n_inputs[owner_idx]; ++i)
00745 {
00746 int cleanup = 1;
00747 Py_ssize_t i_idx = self->node_inputs[owner_idx][i];
00748 if (!self->var_has_owner[i_idx])
00749 continue;
00750
00751 for (int j = 0; j < self->n_output_vars; ++j)
00752 {
00753 if (i_idx == self->output_vars[j])
00754 {
00755 cleanup = 0;
00756 break;
00757 }
00758 }
00759 if (!cleanup) continue;
00760
00761 for (int j = 0; j < self->n_dependencies[i_idx]; ++j)
00762 {
00763 if (!self->var_computed[self->dependencies[i_idx][j]])
00764 {
00765 cleanup = 0;
00766 break;
00767 }
00768 }
00769 if (!cleanup) continue;
00770
00771 Py_INCREF(Py_None);
00772 err = PyList_SetItem(self->var_value_cells[i_idx], 0, Py_None);
00773 //See the Stack gc implementation for why we change it to 2 and not 0.
00774 self->var_computed[i_idx] = 2;
00775 if (err) goto fail;
00776 }
00777 }
00778
00779 return 0;
00780 pyfail:
00781 Py_DECREF(rval);
00782 fail:
00783 set_position_of_error(self, owner_idx);
00784 return err;
00785 }
00786
00787 static PyObject *
00788 CLazyLinker_call(PyObject *_self, PyObject *args, PyObject *kwds)
00789 {
00790 CLazyLinker * self = (CLazyLinker*)_self;
00791 static char *kwlist[] = {
00792 (char *)"time_thunks",
00793 (char *)"n_calls",
00794 (char *)"output_subset",
00795 NULL};
00796 int n_calls=1;
00797 PyObject *output_subset_ptr = NULL;
00798 if (! PyArg_ParseTupleAndKeywords(args, kwds, "|iiO", kwlist,
00799 &self->do_timing,
00800 &n_calls,
00801 &output_subset_ptr))
00802 return NULL;
00803
00804 int err = 0;
00805 // parse an output_subset list
00806 // it is stored as a bool list of length n_output_vars: calculate a var or not
00807 char *output_subset = NULL;
00808 int output_subset_size = -1;
00809 if (output_subset_ptr != NULL)
00810 {
00811 if (! PyList_Check(output_subset_ptr))
00812 {
00813 err = 1;
00814 PyErr_SetString(PyExc_RuntimeError, "Output_subset is not a list");
00815 }
00816 else
00817 {
00818 output_subset_size = PyList_Size(output_subset_ptr);
00819 output_subset = (char*)calloc(self->n_output_vars, sizeof(char));
00820 for (int it = 0; it < output_subset_size; ++it)
00821 {
00822 PyObject *elem = PyList_GetItem(output_subset_ptr, it);
00823 if (! PyInt_Check(elem))
00824 {
00825 err = 1;
00826 PyErr_SetString(PyExc_RuntimeError, "Some elements of output_subset list are not int");
00827 }
00828 output_subset[PyInt_AsLong(elem)] = 1;
00829 }
00830 }
00831 }
00832
00833 self->position_of_error = -1;
00834 // create constants used to fill the var_compute_cells
00835 PyObject * one = PyInt_FromLong(1);
00836 PyObject * zero = PyInt_FromLong(0);
00837
00838 // pre-allocate our return value
00839 Py_INCREF(Py_None);
00840 PyObject * rval = Py_None;
00841 //clear storage of pre_call_clear elements
00842 for (int call_i = 0; call_i < n_calls && (!err); ++call_i)
00843 {
00844 Py_ssize_t n_pre_call_clear = PyList_Size(self->pre_call_clear);
00845 assert(PyList_Check(self->pre_call_clear));
00846 for (int i = 0; i < n_pre_call_clear; ++i)
00847 {
00848 PyObject * el_i = PyList_GetItem(self->pre_call_clear, i);
00849 Py_INCREF(Py_None);
00850 PyList_SetItem(el_i, 0, Py_None);
00851 }
00852 //clear the computed flag out of all non-input vars
00853 for (int i = 0; i < self->n_vars; ++i)
00854 {
00855 self->var_computed[i] = !self->var_has_owner[i];
00856 if (self->var_computed[i])
00857 {
00858 Py_INCREF(one);
00859 PyList_SetItem(self->var_computed_cells[i], 0, one);
00860 }
00861 else
00862 {
00863 Py_INCREF(zero);
00864 PyList_SetItem(self->var_computed_cells[i], 0, zero);
00865 }
00866 }
00867
00868 int first_updated = self->n_output_vars - self->n_updates;
00869 for (int i = 0; i < self->n_output_vars && (!err); ++i)
00870 {
00871 if (i >= first_updated || output_subset == NULL || output_subset[i] == 1)
00872 {
00873 err = lazy_rec_eval(self, self->output_vars[i], one, zero);
00874 }
00875 }
00876
00877 if (!err)
00878 {
00879 // save references to outputs prior to updating storage containers
00880 assert (self->n_output_vars >= self->n_updates);
00881 Py_DECREF(rval);
00882 rval = PyList_New(self->n_output_vars);
00883 for (int i = 0; i < (self->n_output_vars); ++i)
00884 {
00885 Py_ssize_t src = self->output_vars[i];
00886 PyObject * item = PyList_GetItem(self->var_value_cells[src], 0);
00887 if ((output_subset == NULL || output_subset[i]) &&
00888 self->var_computed[src] != 1)
00889 {
00890 err = 1;
00891 PyErr_Format(PyExc_AssertionError,
00892 "The compute map of output %d should contain "
00893 "1 at the end of execution, not %d.",
00894 i, self->var_computed[src]);
00895 break;
00896 }
00897 Py_INCREF(item);
00898 PyList_SetItem(rval, i, item);
00899 }
00900 }
00901
00902 if (!err)
00903 {
00904 // Update the inputs that have an update rule
00905 for (int i = 0; i < self->n_updates; ++i)
00906 {
00907 PyObject* tmp = PyList_GetItem(rval, self->n_output_vars - self->n_updates + i);
00908 Py_INCREF(tmp);
00909 Py_ssize_t dst = self->update_storage[i];
00910 PyList_SetItem(self->var_value_cells[dst], 0, tmp);
00911 }
00912 }
00913 }
00914
00915 /*
00916 Clear everything that is left and not an output. This is needed
00917 for lazy evaluation since the current GC algo is too conservative
00918 with lazy graphs.
00919 */
00920 if (self->allow_gc && !err)
00921 {
00922 for (Py_ssize_t i = 0; i < self->n_vars; ++i)
00923 {
00924 int do_cleanup = 1;
00925 if (!self->var_has_owner[i] || !self->var_computed[i])
00926 continue;
00927 for (int j = 0; j < self->n_output_vars; ++j)
00928 {
00929 if (i == self->output_vars[j])
00930 {
00931 do_cleanup = 0;
00932 break;
00933 }
00934 }
00935 if (!do_cleanup)
00936 continue;
00937 Py_INCREF(Py_None);
00938 PyList_SetItem(self->var_value_cells[i], 0, Py_None);
00939 }
00940 }
00941 if (output_subset != NULL)
00942 free(output_subset);
00943
00944 Py_DECREF(one);
00945 Py_DECREF(zero);
00946 if (err)
00947 {
00948 Py_DECREF(rval);
00949 return NULL;
00950 }
00951 return rval;
00952 }
00953
00954 #if 0
00955 static PyMethodDef CLazyLinker_methods[] = {
00956 {
00957 //"name", (PyCFunction)CLazyLinker_accept, METH_VARARGS, "Return the name, combining the first and last name"
00958 },
00959 {NULL} /* Sentinel */
00960 };
00961 #endif
00962
00963
00964 static PyObject *
00965 CLazyLinker_get_allow_gc(CLazyLinker *self, void *closure)
00966 {
00967 return PyBool_FromLong(self->allow_gc);
00968 }
00969
00970 static int
00971 CLazyLinker_set_allow_gc(CLazyLinker *self, PyObject *value, void *closure)
00972 {
00973 if(!PyBool_Check(value))
00974 return -1;
00975
00976 if (value == Py_True)
00977 self->allow_gc = true;
00978 else
00979 self->allow_gc = false;
00980 return 0;
00981 }
00982
00983 static PyGetSetDef CLazyLinker_getset[] = {
00984 {(char*)"allow_gc",
00985 (getter)CLazyLinker_get_allow_gc,
00986 (setter)CLazyLinker_set_allow_gc,
00987 (char*)"do this function support allow_gc",
00988 NULL},
00989 {NULL, NULL, NULL, NULL} /* Sentinel */
00990 };
00991 static PyMemberDef CLazyLinker_members[] = {
00992 {(char*)"nodes", T_OBJECT_EX, offsetof(CLazyLinker, nodes), 0,
00993 (char*)"list of nodes"},
00994 {(char*)"thunks", T_OBJECT_EX, offsetof(CLazyLinker, thunks), 0,
00995 (char*)"list of thunks in program"},
00996 {(char*)"call_counts", T_OBJECT_EX, offsetof(CLazyLinker, call_counts), 0,
00997 (char*)"number of calls of each thunk"},
00998 {(char*)"call_times", T_OBJECT_EX, offsetof(CLazyLinker, call_times), 0,
00999 (char*)"total runtime in each thunk"},
01000 {(char*)"position_of_error", T_INT, offsetof(CLazyLinker, position_of_error), 0,
01001 (char*)"position of failed thunk"},
01002 {(char*)"time_thunks", T_INT, offsetof(CLazyLinker, do_timing), 0,
01003 (char*)"bool: nonzero means call will time thunks"},
01004 {(char*)"need_update_inputs", T_INT, offsetof(CLazyLinker, need_update_inputs), 0,
01005 (char*)"bool: nonzero means Function.__call__ must implement update mechanism"},
01006 {NULL} /* Sentinel */
01007 };
01008
01009 static PyTypeObject lazylinker_ext_CLazyLinkerType = {
01010 #if defined(NPY_PY3K)
01011 PyVarObject_HEAD_INIT(NULL, 0)
01012 #else
01013 PyObject_HEAD_INIT(NULL)
01014 0, /*ob_size*/
01015 #endif
01016 "lazylinker_ext.CLazyLinker", /*tp_name*/
01017 sizeof(CLazyLinker), /*tp_basicsize*/
01018 0, /*tp_itemsize*/
01019 CLazyLinker_dealloc, /*tp_dealloc*/
01020 0, /*tp_print*/
01021 0, /*tp_getattr*/
01022 0, /*tp_setattr*/
01023 0, /*tp_compare*/
01024 0, /*tp_repr*/
01025 0, /*tp_as_number*/
01026 0, /*tp_as_sequence*/
01027 0, /*tp_as_mapping*/
01028 0, /*tp_hash */
01029 CLazyLinker_call, /*tp_call*/
01030 0, /*tp_str*/
01031 0, /*tp_getattro*/
01032 0, /*tp_setattro*/
01033 0, /*tp_as_buffer*/
01034 Py_TPFLAGS_DEFAULT|Py_TPFLAGS_BASETYPE, /*tp_flags*/
01035 "CLazyLinker object", /* tp_doc */
01036 0, /* tp_traverse */
01037 0, /* tp_clear */
01038 0, /* tp_richcompare */
01039 0, /* tp_weaklistoffset */
01040 0, /* tp_iter */
01041 0, /* tp_iternext */
01042 0,//CLazyLinker_methods, /* tp_methods */
01043 CLazyLinker_members, /* tp_members */
01044 CLazyLinker_getset, /* tp_getset */
01045 0, /* tp_base */
01046 0, /* tp_dict */
01047 0, /* tp_descr_get */
01048 0, /* tp_descr_set */
01049 0, /* tp_dictoffset */
01050 (initproc)CLazyLinker_init,/* tp_init */
01051 0, /* tp_alloc */
01052 CLazyLinker_new, /* tp_new */
01053 };
01054
01055 static PyObject * get_version(PyObject *dummy, PyObject *args)
01056 {
01057 PyObject *result = PyFloat_FromDouble(0.211);
01058 return result;
01059 }
01060
01061 static PyMethodDef lazylinker_ext_methods[] = {
01062 {"get_version", get_version, METH_VARARGS, "Get extension version."},
01063 {NULL, NULL, 0, NULL} /* Sentinel */
01064 };
01065
01066 #if defined(NPY_PY3K)
01067 static struct PyModuleDef moduledef = {
01068 PyModuleDef_HEAD_INIT,
01069 "lazylinker_ext",
01070 NULL,
01071 -1,
01072 lazylinker_ext_methods,
01073 NULL,
01074 NULL,
01075 NULL,
01076 NULL
01077 };
01078 #endif
01079 #if defined(NPY_PY3K)
01080 #define RETVAL m
01081 PyMODINIT_FUNC
01082 PyInit_lazylinker_ext(void) {
01083 #else
01084 #define RETVAL
01085 PyMODINIT_FUNC
01086 initlazylinker_ext(void)
01087 {
01088 #endif
01089 PyObject* m;
01090
01091 lazylinker_ext_CLazyLinkerType.tp_new = PyType_GenericNew;
01092 if (PyType_Ready(&lazylinker_ext_CLazyLinkerType) < 0)
01093 return RETVAL;
01094 #if defined(NPY_PY3K)
01095 m = PyModule_Create(&moduledef);
01096 #else
01097 m = Py_InitModule3("lazylinker_ext", lazylinker_ext_methods,
01098 "Example module that creates an extension type.");
01099 #endif
01100 Py_INCREF(&lazylinker_ext_CLazyLinkerType);
01101 PyModule_AddObject(m, "CLazyLinker", (PyObject *)&lazylinker_ext_CLazyLinkerType);
01102
01103 return RETVAL;
01104 }
01105
Problem occurred during compilation with the command line below:
/usr/bin/g++ -shared -g -march=ivybridge -mmmx -mno-3dnow -msse -msse2 -msse3 -mssse3 -mno-sse4a -mcx16 -msahf -mno-movbe -maes -mno-sha -mpclmul -mpopcnt -mno-abm -mno-lwp -mno-fma -mno-fma4 -mno-xop -mno-bmi -mno-bmi2 -mno-tbm -mavx -mno-avx2 -msse4.2 -msse4.1 -mno-lzcnt -mno-rtm -mno-hle -mrdrnd -mf16c -mfsgsbase -mno-rdseed -mno-prfchw -mno-adx -mfxsr -mxsave -mxsaveopt -mno-avx512f -mno-avx512er -mno-avx512cd -mno-avx512pf -mno-prefetchwt1 -mno-clflushopt -mno-xsavec -mno-xsaves -mno-avx512dq -mno-avx512bw -mno-avx512vl -mno-avx512ifma -mno-avx512vbmi -mno-clwb -mno-mwaitx -mno-clzero -mno-pku --param l1-cache-size=32 --param l1-cache-line-size=64 --param l2-cache-size=6144 -mtune=ivybridge -DNPY_NO_DEPRECATED_API=NPY_1_7_API_VERSION -m64 -fPIC -I/home/n1amr/.pyenv/versions/2.7.12/lib/python2.7/site-packages/numpy/core/include -I/home/n1amr/.pyenv/versions/2.7.12/include/python2.7 -I/home/n1amr/.pyenv/versions/env_nn/lib/python2.7/site-packages/theano/gof -L/home/n1amr/.pyenv/versions/2.7.12/lib -fvisibility=hidden -o /home/n1amr/.theano/compiledir_Linux-4.10--generic-x86_64-with-debian-stretch-sid-x86_64-2.7.12-64/lazylinker_ext/lazylinker_ext.so /home/n1amr/.theano/compiledir_Linux-4.10--generic-x86_64-with-debian-stretch-sid-x86_64-2.7.12-64/lazylinker_ext/mod.cpp -lpython2.7
===============================
===============================
/home/n1amr/.pyenv/versions/2.7.12/lib/libpython2.7.a(posixmodule.o): In function `posix_tmpnam':
/home/n1amr/.pyenv/sources/2.7.12/Python-2.7.12/./Modules/posixmodule.c:7631: warning: the use of `tmpnam_r' is dangerous, better use `mkstemp'
/home/n1amr/.pyenv/versions/2.7.12/lib/libpython2.7.a(posixmodule.o): In function `posix_tempnam':
/home/n1amr/.pyenv/sources/2.7.12/Python-2.7.12/./Modules/posixmodule.c:7578: warning: the use of `tempnam' is dangerous, better use `mkstemp'
/usr/bin/ld: /home/n1amr/.pyenv/versions/2.7.12/lib/libpython2.7.a(classobject.o): relocation R_X86_64_PC32 against symbol `_Py_NotImplementedStruct' can not be used when making a shared object; recompile with -fPIC
/usr/bin/ld: final link failed: Bad value
collect2: error: ld returned 1 exit status
Traceback (most recent call last):
File "train.py", line 5, in
import nn_utils.network_utils as network_utils
File "/home/n1amr/GRUV/nn_utils/network_utils.py", line 1, in
from keras.models import Sequential
File "/home/n1amr/.pyenv/versions/env_nn/lib/python2.7/site-packages/keras/models.py", line 3, in
import theano
File "/home/n1amr/.pyenv/versions/env_nn/lib/python2.7/site-packages/theano/init.py", line 66, in
from theano.compile import (
File "/home/n1amr/.pyenv/versions/env_nn/lib/python2.7/site-packages/theano/compile/init.py", line 10, in
from theano.compile.function_module import *
File "/home/n1amr/.pyenv/versions/env_nn/lib/python2.7/site-packages/theano/compile/function_module.py", line 21, in
import theano.compile.mode
File "/home/n1amr/.pyenv/versions/env_nn/lib/python2.7/site-packages/theano/compile/mode.py", line 10, in
import theano.gof.vm
File "/home/n1amr/.pyenv/versions/env_nn/lib/python2.7/site-packages/theano/gof/vm.py", line 662, in
from . import lazylinker_c
File "/home/n1amr/.pyenv/versions/env_nn/lib/python2.7/site-packages/theano/gof/lazylinker_c.py", line 127, in
preargs=args)
File "/home/n1amr/.pyenv/versions/env_nn/lib/python2.7/site-packages/theano/gof/cmodule.py", line 2316, in compile_str
(status, compile_stderr.replace('\n', '. ')))
Exception: Compilation failed (return status=1): /home/n1amr/.pyenv/versions/2.7.12/lib/libpython2.7.a(posixmodule.o): In function posix_tmpnam':. /home/n1amr/.pyenv/sources/2.7.12/Python-2.7.12/./Modules/posixmodule.c:7631: warning: the use of tmpnam_r' is dangerous, better use mkstemp'. /home/n1amr/.pyenv/versions/2.7.12/lib/libpython2.7.a(posixmodule.o): In function posix_tempnam':. /home/n1amr/.pyenv/sources/2.7.12/Python-2.7.12/./Modules/posixmodule.c:7578: warning: the use of tempnam' is dangerous, better use mkstemp'. /usr/bin/ld: /home/n1amr/.pyenv/versions/2.7.12/lib/libpython2.7.a(classobject.o): relocation R_X86_64_PC32 against symbol `_Py_NotImplementedStruct' can not be used when making a shared object; recompile with -fPIC. /usr/bin/ld: final link failed: Bad value. collect2: error: ld returned 1 exit status.
I am not able to train using any dataset. I always get this error when I run
python train.pyComplete error message:
00001 #include 00002 #include "theano_mod_helper.h" 00003 #include "structmember.h" 00004 #include 00005 00006 #if PY_VERSION_HEX >= 0x03000000 00007 #include "numpy/npy_3kcompat.h" 00008 #define PyCObject_AsVoidPtr NpyCapsule_AsVoidPtr 00009 #define PyCObject_GetDesc NpyCapsule_GetDesc 00010 #define PyCObject_Check NpyCapsule_Check 00011 #endif 00012 00013 #ifndef Py_TYPE 00014 #define Py_TYPE(obj) obj->ob_type 00015 #endif 00016 00017 /** 00018 00019 TODO: 00020 - Check max supported depth of recursion 00021 - CLazyLinker should add context information to errors caught during evaluation. Say what node we were on, add the traceback attached to the node. 00022 - Clear containers of fully-useed intermediate results if allow_gc is 1 00023 - Add timers for profiling 00024 - Add support for profiling space used. 00025 00026 00027 */ 00028 static double pytime(const struct timeval * tv) 00029 { 00030 struct timeval t; 00031 if (!tv) 00032 { 00033 tv = &t; 00034 gettimeofday(&t, NULL); 00035 } 00036 return (double) tv->tv_sec + (double) tv->tv_usec / 1000000.0; 00037 } 00038 00039 /** 00040 Helper routine to convert a PyList of integers to a c array of integers. 00041 */ 00042 static int unpack_list_of_ssize_t(PyObject * pylist, Py_ssize_t **dst, Py_ssize_t *len, 00043 const char* kwname) 00044 { 00045 Py_ssize_t buflen, *buf; 00046 if (!PyList_Check(pylist)) 00047 { 00048 PyErr_Format(PyExc_TypeError, "%s must be list", kwname); 00049 return -1; 00050 } 00051 assert (NULL == *dst); 00052 *len = buflen = PyList_Size(pylist); 00053 *dst = buf = (Py_ssize_t*)calloc(buflen, sizeof(Py_ssize_t)); 00054 assert(buf); 00055 for (int ii = 0; ii < buflen; ++ii) 00056 { 00057 PyObject * el_i = PyList_GetItem(pylist, ii); 00058 Py_ssize_t n_i = PyNumber_AsSsize_t(el_i, PyExc_IndexError); 00059 if (PyErr_Occurred()) 00060 { 00061 free(buf); 00062 *dst = NULL; 00063 return -1; 00064 } 00065 buf[ii] = n_i; 00066 } 00067 return 0; 00068 } 00069 00070 /** 00071 00072 CLazyLinker 00073 00074 00075 */ 00076 typedef struct { 00077 PyObject_HEAD 00078 /* Type-specific fields go here. */ 00079 PyObject * nodes; // the python list of nodes 00080 PyObject * thunks; // python list of thunks 00081 PyObject * pre_call_clear; //list of cells to clear on call. 00082 int allow_gc; 00083 Py_ssize_t n_applies; 00084 int n_vars; // number of variables in the graph 00085 int * var_computed; // 1 or 0 for every variable 00086 PyObject ** var_computed_cells; 00087 PyObject ** var_value_cells; 00088 Py_ssize_t **dependencies; // list of vars dependencies for GC 00089 Py_ssize_t *n_dependencies; 00090 00091 Py_ssize_t n_output_vars; 00092 Py_ssize_t * output_vars; // variables that *must* be evaluated by call 00093 00094 int * is_lazy; // 1 or 0 for every thunk 00095 00096 Py_ssize_t * var_owner; // nodes[[var_owner[var_idx]]] is var[var_idx]->owner 00097 int * var_has_owner; // 1 or 0 00098 00099 Py_ssize_t * node_n_inputs; 00100 Py_ssize_t * node_n_outputs; 00101 Py_ssize_t ** node_inputs; 00102 Py_ssize_t ** node_outputs; 00103 Py_ssize_t * node_inputs_outputs_base; // node_inputs and node_outputs point into this 00104 Py_ssize_t * node_n_prereqs; 00105 Py_ssize_t ** node_prereqs; 00106 00107 Py_ssize_t * update_storage; // input cells to update with the last outputs in output_vars 00108 Py_ssize_t n_updates; 00109 00110 void ** thunk_cptr_fn; 00111 void ** thunk_cptr_data; 00112 PyObject * call_times; 00113 PyObject * call_counts; 00114 int do_timing; 00115 int need_update_inputs; 00116 int position_of_error; // -1 for no error, otw the index into `thunks` that failed. 00117 } CLazyLinker; 00118 00119 00120 static void 00121 CLazyLinker_dealloc(PyObject* _self) 00122 { 00123 CLazyLinker* self = (CLazyLinker *) _self; 00124 free(self->thunk_cptr_fn); 00125 free(self->thunk_cptr_data); 00126 00127 free(self->is_lazy); 00128 00129 free(self->update_storage); 00130 00131 if (self->node_n_prereqs) 00132 { 00133 for (int i = 0; i < self->n_applies; ++i) 00134 { 00135 free(self->node_prereqs[i]); 00136 } 00137 } 00138 free(self->node_n_prereqs); 00139 free(self->node_prereqs); 00140 free(self->node_inputs_outputs_base); 00141 free(self->node_n_inputs); 00142 free(self->node_n_outputs); 00143 free(self->node_inputs); 00144 free(self->node_outputs); 00145 00146 if (self->dependencies) 00147 { 00148 for (int i = 0; i < self->n_vars; ++i) 00149 { 00150 free(self->dependencies[i]); 00151 } 00152 free(self->dependencies); 00153 free(self->n_dependencies); 00154 } 00155 00156 free(self->var_owner); 00157 free(self->var_has_owner); 00158 free(self->var_computed); 00159 if (self->var_computed_cells) 00160 { 00161 for (int i = 0; i < self->n_vars; ++i) 00162 { 00163 Py_DECREF(self->var_computed_cells[i]); 00164 Py_DECREF(self->var_value_cells[i]); 00165 } 00166 } 00167 free(self->var_computed_cells); 00168 free(self->var_value_cells); 00169 free(self->output_vars); 00170 00171 Py_XDECREF(self->nodes); 00172 Py_XDECREF(self->thunks); 00173 Py_XDECREF(self->call_times); 00174 Py_XDECREF(self->call_counts); 00175 Py_XDECREF(self->pre_call_clear); 00176 Py_TYPE(self)->tp_free((PyObject*)self); 00177 } 00178 static PyObject * 00179 CLazyLinker_new(PyTypeObject *type, PyObject *args, PyObject *kwds) 00180 { 00181 CLazyLinker *self; 00182 00183 self = (CLazyLinker *)type->tp_alloc(type, 0); 00184 if (self != NULL) { 00185 self->nodes = NULL; 00186 self->thunks = NULL; 00187 self->pre_call_clear = NULL; 00188 00189 self->allow_gc = 1; 00190 self->n_applies = 0; 00191 self->n_vars = 0; 00192 self->var_computed = NULL; 00193 self->var_computed_cells = NULL; 00194 self->var_value_cells = NULL; 00195 self->dependencies = NULL; 00196 self->n_dependencies = NULL; 00197 00198 self->n_output_vars = 0; 00199 self->output_vars = NULL; 00200 00201 self->is_lazy = NULL; 00202 00203 self->var_owner = NULL; 00204 self->var_has_owner = NULL; 00205 00206 self->node_n_inputs = NULL; 00207 self->node_n_outputs = NULL; 00208 self->node_inputs = NULL; 00209 self->node_outputs = NULL; 00210 self->node_inputs_outputs_base = NULL; 00211 self->node_prereqs = NULL; 00212 self->node_n_prereqs = NULL; 00213 00214 self->update_storage = NULL; 00215 self->n_updates = 0; 00216 00217 self->thunk_cptr_data = NULL; 00218 self->thunk_cptr_fn = NULL; 00219 self->call_times = NULL; 00220 self->call_counts = NULL; 00221 self->do_timing = 0; 00222 00223 self->need_update_inputs = 0; 00224 self->position_of_error = -1; 00225 } 00226 return (PyObject *)self; 00227 } 00228 00229 static int 00230 CLazyLinker_init(CLazyLinker *self, PyObject *args, PyObject *kwds) 00231 { 00232 static char *kwlist[] = { 00233 (char*)"nodes", 00234 (char*)"thunks", 00235 (char*)"pre_call_clear", 00236 (char*)"allow_gc", 00237 (char*)"call_counts", 00238 (char*)"call_times", 00239 (char*)"compute_map_list", 00240 (char*)"storage_map_list", 00241 (char*)"base_input_output_list", 00242 (char*)"node_n_inputs", 00243 (char*)"node_n_outputs", 00244 (char*)"node_input_offset", 00245 (char*)"node_output_offset", 00246 (char*)"var_owner", 00247 (char*)"is_lazy_list", 00248 (char*)"output_vars", 00249 (char*)"node_prereqs", 00250 (char*)"node_output_size", 00251 (char*)"update_storage", 00252 (char*)"dependencies", 00253 NULL}; 00254 00255 PyObject *compute_map_list=NULL, 00256 *storage_map_list=NULL, 00257 *base_input_output_list=NULL, 00258 *node_n_inputs=NULL, 00259 *node_n_outputs=NULL, 00260 *node_input_offset=NULL, 00261 *node_output_offset=NULL, 00262 *var_owner=NULL, 00263 *is_lazy=NULL, 00264 *output_vars=NULL, 00265 *node_prereqs=NULL, 00266 *node_output_size=NULL, 00267 *update_storage=NULL, 00268 *dependencies=NULL; 00269 00270 assert(!self->nodes); 00271 if (! PyArg_ParseTupleAndKeywords(args, kwds, "OOOiOOOOOOOOOOOOOOOO", kwlist, 00272 &self->nodes, 00273 &self->thunks, 00274 &self->pre_call_clear, 00275 &self->allow_gc, 00276 &self->call_counts, 00277 &self->call_times, 00278 &compute_map_list, 00279 &storage_map_list, 00280 &base_input_output_list, 00281 &node_n_inputs, 00282 &node_n_outputs, 00283 &node_input_offset, 00284 &node_output_offset, 00285 &var_owner, 00286 &is_lazy, 00287 &output_vars, 00288 &node_prereqs, 00289 &node_output_size, 00290 &update_storage, 00291 &dependencies 00292 )) 00293 return -1; 00294 Py_INCREF(self->nodes); 00295 Py_INCREF(self->thunks); 00296 Py_INCREF(self->pre_call_clear); 00297 Py_INCREF(self->call_counts); 00298 Py_INCREF(self->call_times); 00299 00300 Py_ssize_t n_applies = PyList_Size(self->nodes); 00301 00302 self->n_applies = n_applies; 00303 self->n_vars = PyList_Size(var_owner); 00304 00305 if (PyList_Size(self->thunks) != n_applies) return -1; 00306 if (PyList_Size(self->call_counts) != n_applies) return -1; 00307 if (PyList_Size(self->call_times) != n_applies) return -1; 00308 00309 // allocated and initialize thunk_cptr_data and thunk_cptr_fn 00310 if (n_applies) 00311 { 00312 self->thunk_cptr_data = (void**)calloc(n_applies, sizeof(void*)); 00313 self->thunk_cptr_fn = (void**)calloc(n_applies, sizeof(void*)); 00314 self->is_lazy = (int*)calloc(n_applies, sizeof(int)); 00315 self->node_prereqs = (Py_ssize_t**)calloc(n_applies, sizeof(Py_ssize_t*)); 00316 self->node_n_prereqs = (Py_ssize_t*)calloc(n_applies, sizeof(Py_ssize_t)); 00317 assert(self->node_prereqs); 00318 assert(self->node_n_prereqs); 00319 assert(self->is_lazy); 00320 assert(self->thunk_cptr_fn); 00321 assert(self->thunk_cptr_data); 00322 00323 for (int i = 0; i < n_applies; ++i) 00324 { 00325 PyObject * thunk = PyList_GetItem(self->thunks, i); 00326 //thunk is borrowed 00327 if (PyObject_HasAttrString(thunk, "cthunk")) 00328 { 00329 PyObject * cthunk = PyObject_GetAttrString(thunk, "cthunk"); 00330 //new reference 00331 assert (cthunk && PyCObject_Check(cthunk)); 00332 self->thunk_cptr_fn[i] = PyCObject_AsVoidPtr(cthunk); 00333 self->thunk_cptr_data[i] = PyCObject_GetDesc(cthunk); 00334 Py_DECREF(cthunk); 00335 // cthunk is kept alive by membership in self->thunks 00336 } 00337 00338 PyObject * el_i = PyList_GetItem(is_lazy, i); 00339 self->is_lazy[i] = PyNumber_AsSsize_t(el_i, NULL); 00340 00341 /* now get the prereqs */ 00342 el_i = PyList_GetItem(node_prereqs, i); 00343 assert (PyList_Check(el_i)); 00344 self->node_n_prereqs[i] = PyList_Size(el_i); 00345 if (self->node_n_prereqs[i]) 00346 { 00347 self->node_prereqs[i] = (Py_ssize_t*)malloc( 00348 PyList_Size(el_i)*sizeof(Py_ssize_t)); 00349 for (int j = 0; j < PyList_Size(el_i); ++j) 00350 { 00351 PyObject * el_ij = PyList_GetItem(el_i, j); 00352 Py_ssize_t N = PyNumber_AsSsize_t(el_ij, PyExc_IndexError); 00353 if (PyErr_Occurred()) 00354 return -1; 00355 // N < n. variables 00356 assert(N < PyList_Size(var_owner)); 00357 self->node_prereqs[i][j] = N; 00358 } 00359 } 00360 } 00361 } 00362 if (PyList_Check(base_input_output_list)) 00363 { 00364 Py_ssize_t n_inputs_outputs_base = PyList_Size(base_input_output_list); 00365 self->node_inputs_outputs_base = (Py_ssize_t*)calloc(n_inputs_outputs_base,sizeof(Py_ssize_t)); 00366 assert(self->node_inputs_outputs_base); 00367 for (int i = 0; i < n_inputs_outputs_base; ++i) 00368 { 00369 PyObject *el_i = PyList_GetItem(base_input_output_list, i); 00370 Py_ssize_t idx = PyNumber_AsSsize_t(el_i, PyExc_IndexError); 00371 if (PyErr_Occurred()) return -1; 00372 self->node_inputs_outputs_base[i] = idx; 00373 } 00374 self->node_n_inputs = (Py_ssize_t*)calloc(n_applies,sizeof(Py_ssize_t)); 00375 assert(self->node_n_inputs); 00376 self->node_n_outputs = (Py_ssize_t*)calloc(n_applies,sizeof(Py_ssize_t)); 00377 assert(self->node_n_outputs); 00378 self->node_inputs = (Py_ssize_t**)calloc(n_applies,sizeof(Py_ssize_t*)); 00379 assert(self->node_inputs); 00380 self->node_outputs = (Py_ssize_t**)calloc(n_applies,sizeof(Py_ssize_t*)); 00381 assert(self->node_outputs); 00382 for (int i = 0; i < n_applies; ++i) 00383 { 00384 Py_ssize_t N; 00385 N = PyNumber_AsSsize_t(PyList_GetItem(node_n_inputs, i),PyExc_IndexError); 00386 if (PyErr_Occurred()) return -1; 00387 assert (N <= n_inputs_outputs_base); 00388 self->node_n_inputs[i] = N; 00389 N = PyNumber_AsSsize_t(PyList_GetItem(node_n_outputs, i),PyExc_IndexError); 00390 if (PyErr_Occurred()) return -1; 00391 assert (N <= n_inputs_outputs_base); 00392 self->node_n_outputs[i] = N; 00393 N = PyNumber_AsSsize_t(PyList_GetItem(node_input_offset, i),PyExc_IndexError); 00394 if (PyErr_Occurred()) return -1; 00395 assert (N <= n_inputs_outputs_base); 00396 self->node_inputs[i] = &self->node_inputs_outputs_base[N]; 00397 N = PyNumber_AsSsize_t(PyList_GetItem(node_output_offset, i),PyExc_IndexError); 00398 if (PyErr_Occurred()) return -1; 00399 assert (N <= n_inputs_outputs_base); 00400 self->node_outputs[i] = &self->node_inputs_outputs_base[N]; 00401 } 00402 } 00403 else 00404 { 00405 PyErr_SetString(PyExc_TypeError, "base_input_output_list must be list"); 00406 return -1; 00407 } 00408 00409 // allocation for var_owner 00410 if (PyList_Check(var_owner)) 00411 { 00412 self->var_owner = (Py_ssize_t*)calloc(self->n_vars,sizeof(Py_ssize_t)); 00413 self->var_has_owner = (int*)calloc(self->n_vars,sizeof(int)); 00414 self->var_computed = (int*)calloc(self->n_vars,sizeof(int)); 00415 self->var_computed_cells = (PyObject**)calloc(self->n_vars,sizeof(PyObject*)); 00416 self->var_value_cells = (PyObject**)calloc(self->n_vars,sizeof(PyObject*)); 00417 for (int i = 0; i < self->n_vars; ++i) 00418 { 00419 PyObject * el_i = PyList_GetItem(var_owner, i); 00420 if (el_i == Py_None) 00421 { 00422 self->var_has_owner[i] = 0; 00423 } 00424 else 00425 { 00426 Py_ssize_t N = PyNumber_AsSsize_t(el_i, PyExc_IndexError); 00427 if (PyErr_Occurred()) return -1; 00428 assert (N <= n_applies); 00429 self->var_owner[i] = N; 00430 self->var_has_owner[i] = 1; 00431 } 00432 self->var_computed_cells[i] = PyList_GetItem(compute_map_list, i); 00433 Py_INCREF(self->var_computed_cells[i]); 00434 self->var_value_cells[i] = PyList_GetItem(storage_map_list, i); 00435 Py_INCREF(self->var_value_cells[i]); 00436 } 00437 } 00438 else 00439 { 00440 PyErr_SetString(PyExc_TypeError, "var_owner must be list"); 00441 return -1; 00442 } 00443 00444 if (dependencies != Py_None) 00445 { 00446 self->dependencies = (Py_ssize_t**)calloc(self->n_vars, sizeof(Py_ssize_t *)); 00447 self->n_dependencies = (Py_ssize_t*)calloc(self->n_vars, sizeof(Py_ssize_t)); 00448 assert(self->dependencies); 00449 assert(self->n_dependencies); 00450 00451 for (int i = 0; i < self->n_vars; ++i) 00452 { 00453 PyObject *tmp = PyList_GetItem(dependencies, i); 00454 // refcounting - tmp is borrowed 00455 if (unpack_list_of_ssize_t(tmp, &self->dependencies[i], &self->n_dependencies[i], 00456 "dependencies")) 00457 return -1; 00458 } 00459 } 00460 00461 if (unpack_list_of_ssize_t(output_vars, &self->output_vars, &self->n_output_vars, 00462 "output_vars")) 00463 return -1; 00464 for (int i = 0; i < self->n_output_vars; ++i) 00465 { 00466 assert(self->output_vars[i] < self->n_vars); 00467 } 00468 if (unpack_list_of_ssize_t(update_storage, &self->update_storage, &self->n_updates, 00469 "updates_storage")) 00470 return -1; 00471 return 0; 00472 } 00473 static void set_position_of_error(CLazyLinker * self, int owner_idx) 00474 { 00475 if (self->position_of_error == -1) 00476 { 00477 self->position_of_error = owner_idx; 00478 } 00479 } 00480 static PyObject * pycall(CLazyLinker * self, Py_ssize_t node_idx, int verbose) 00481 { 00482 // call thunk to see which inputs it wants 00483 PyObject * thunk = PyList_GetItem(self->thunks, node_idx); 00484 // refcounting - thunk is borrowed 00485 PyObject * rval = NULL; 00486 if (self->do_timing) 00487 { 00488 double t0 = pytime(NULL); 00489 if (verbose) fprintf(stderr, "calling via Python (node %i)\n", (int)node_idx); 00490 rval = PyObject_CallObject(thunk, NULL); 00491 if (rval) 00492 { 00493 double t1 = pytime(NULL); 00494 double ti = PyFloat_AsDouble( 00495 PyList_GetItem(self->call_times, node_idx)); 00496 PyList_SetItem(self->call_times, node_idx, 00497 PyFloat_FromDouble(t1 - t0 + ti)); 00498 PyObject * count = PyList_GetItem(self->call_counts, node_idx); 00499 long icount = PyInt_AsLong(count); 00500 PyList_SetItem(self->call_counts, node_idx, 00501 PyInt_FromLong(icount + 1)); 00502 } 00503 } 00504 else 00505 { 00506 if (verbose) 00507 { 00508 fprintf(stderr, "calling via Python (node %i)\n", (int)node_idx); 00509 } 00510 rval = PyObject_CallObject(thunk, NULL); 00511 } 00512 return rval; 00513 } 00514 static int c_call(CLazyLinker * self, Py_ssize_t node_idx, int verbose) 00515 { 00516 void * ptr_addr = self->thunk_cptr_fn[node_idx]; 00517 int (*fn)(void*) = (int (*)(void*))(ptr_addr); 00518 if (verbose) fprintf(stderr, "calling non-lazy shortcut (node %i)\n", (int)node_idx); 00519 int err = 0; 00520 if (self->do_timing) 00521 { 00522 double t0 = pytime(NULL); 00523 err = fn(self->thunk_cptr_data[node_idx]); 00524 double t1 = pytime(NULL); 00525 double ti = PyFloat_AsDouble(PyList_GetItem(self->call_times, node_idx)); 00526 PyList_SetItem(self->call_times, node_idx, PyFloat_FromDouble(t1 - t0 + ti)); 00527 PyObject * count = PyList_GetItem(self->call_counts, node_idx); 00528 long icount = PyInt_AsLong(count); 00529 PyList_SetItem(self->call_counts, node_idx, PyInt_FromLong(icount+1)); 00530 } 00531 else 00532 { 00533 err = fn(self->thunk_cptr_data[node_idx]); 00534 } 00535 00536 if (err) 00537 { 00538 // cast the argument to a PyList (as described near line 226 of cc.py) 00539 PyObject * __ERROR = ((PyObject**)self->thunk_cptr_data[node_idx])[0]; 00540 assert (PyList_Check(__ERROR)); 00541 assert (PyList_Size(__ERROR) == 3); 00542 PyObject * err_type = PyList_GetItem(__ERROR, 0); //stolen ref 00543 PyObject * err_msg = PyList_GetItem(__ERROR, 1); //stolen ref 00544 PyObject * err_trace = PyList_GetItem(__ERROR, 2); //stolen ref 00545 PyList_SET_ITEM(__ERROR, 0, Py_None); Py_INCREF(Py_None); //clobbers old ref 00546 PyList_SET_ITEM(__ERROR, 1, Py_None); Py_INCREF(Py_None); //clobbers old ref 00547 PyList_SET_ITEM(__ERROR, 2, Py_None); Py_INCREF(Py_None); //clobbers old ref 00548 00549 assert(!PyErr_Occurred()); // because CLinker hid the exception in __ERROR aka data 00550 PyErr_Restore(err_type, err_msg, err_trace); //steals refs to args 00551 } 00552 if (err) set_position_of_error(self, node_idx); 00553 return err; 00554 } 00555 static 00556 int lazy_rec_eval(CLazyLinker * self, Py_ssize_t var_idx, PyObject*one, PyObject*zero) 00557 { 00558 PyObject *rval = NULL; 00559 int verbose = 0; 00560 int err = 0; 00561 00562 if (verbose) fprintf(stderr, "lazy_rec computing %i\n", (int)var_idx); 00563 00564 if (self->var_computed[var_idx] || !self->var_has_owner[var_idx]) 00565 return 0; 00566 00567 Py_ssize_t owner_idx = self->var_owner[var_idx]; 00568 00569 // STEP 1: compute the pre-requirements of the node 00570 // Includes input nodes for non-lazy ops. 00571 for (int i = 0; i < self->node_n_prereqs[owner_idx]; ++i) 00572 { 00573 Py_ssize_t prereq_idx = self->node_prereqs[owner_idx][i]; 00574 if (!self->var_computed[prereq_idx]) 00575 { 00576 err = lazy_rec_eval(self, prereq_idx, one, zero); 00577 if (err) return err; 00578 } 00579 assert (self->var_computed[prereq_idx]); 00580 } 00581 00582 // STEP 2: compute the node itself 00583 if (self->is_lazy[owner_idx]) 00584 { 00585 // update the compute_map cells corresponding to the inputs of this thunk 00586 for (int i = 0; i < self->node_n_inputs[owner_idx]; ++i) 00587 { 00588 int in_idx = self->node_inputs[owner_idx][i]; 00589 if (self->var_computed[in_idx]) 00590 { 00591 Py_INCREF(one); 00592 err = PyList_SetItem(self->var_computed_cells[in_idx], 0, one); 00593 } 00594 else 00595 { 00596 Py_INCREF(zero); 00597 err = PyList_SetItem(self->var_computed_cells[in_idx], 0, zero); 00598 } 00599 if (err) goto fail; 00600 } 00601 00602 rval = pycall(self, owner_idx, verbose); 00603 // refcounting - rval is new ref 00604 //TODO: to prevent infinite loops 00605 // - consider check that a thunk does not ask for an input that is already computed 00606 if (rval == NULL) 00607 { 00608 assert (PyErr_Occurred()); 00609 err = 1; 00610 goto fail; 00611 } 00612 00613 //update the computed-ness of any output cells 00614 for (int i = 0; i < self->node_n_outputs[owner_idx]; ++i) 00615 { 00616 int out_idx = self->node_outputs[owner_idx][i]; 00617 PyObject * el_i = PyList_GetItem(self->var_computed_cells[out_idx], 0); 00618 Py_ssize_t N = PyNumber_AsSsize_t(el_i, PyExc_IndexError); 00619 if (PyErr_Occurred()) 00620 { 00621 err = -1; 00622 goto pyfail; 00623 } 00624 assert (N==0 || N==1); 00625 self->var_computed[out_idx] = N; 00626 } 00627 if (!self->var_computed[var_idx]) 00628 { 00629 /* 00630 * If self is not computed after the call, this means that some 00631 * inputs are needed. Compute the ones on the returned list 00632 * and try to compute the current node again (with recursive call). 00633 * This allows a node to request more nodes more than once before 00634 * finally yielding a result. 00635 */ 00636 if (!PyList_Check(rval)) 00637 { 00638 //TODO: More helpful error to help find *which node* made this 00639 // bad thunk 00640 PyErr_SetString(PyExc_TypeError, 00641 "lazy thunk should return a list"); 00642 err = 1; 00643 goto pyfail; 00644 } 00645 00646 if (!PyList_Size(rval)) 00647 { 00648 PyErr_SetString(PyExc_ValueError, 00649 "lazy thunk returned empty list without computing output"); 00650 err = 1; 00651 goto pyfail; 00652 } 00653 00654 for (int i = 0; i < PyList_Size(rval); ++i) 00655 { 00656 PyObject * el_i = PyList_GetItem(rval, i); 00657 Py_ssize_t N = PyNumber_AsSsize_t(el_i, PyExc_IndexError); 00658 if (PyErr_Occurred()) 00659 { 00660 err = 1; 00661 goto pyfail; 00662 } 00663 assert (N <= self->node_n_inputs[owner_idx]); 00664 Py_ssize_t input_idx = self->node_inputs[owner_idx][N]; 00665 err = lazy_rec_eval(self, input_idx, one, zero); 00666 if (err) goto pyfail; 00667 } 00668 00669 Py_DECREF(rval); 00670 /* 00671 * We intentionally skip all the end-of-function processing 00672 * (mark outputs, GC) as it will be performed by the call 00673 * that actually manages to compute the result. 00674 */ 00675 return lazy_rec_eval(self, var_idx, one, zero); 00676 } 00677 00678 Py_DECREF(rval); 00679 } 00680 else //owner is not a lazy op. Ensure all intputs are evaluated. 00681 { 00682 // loop over inputs to owner 00683 // call lazy_rec_eval on each one that is not computed. 00684 // if there's an error, pass it up the stack 00685 for (int i = 0; i < self->node_n_inputs[owner_idx]; ++i) 00686 { 00687 Py_ssize_t input_idx = self->node_inputs[owner_idx][i]; 00688 if (!self->var_computed[input_idx]) 00689 { 00690 err = lazy_rec_eval(self, input_idx, one, zero); 00691 if (err) return err; 00692 } 00693 assert (self->var_computed[input_idx]); 00694 } 00695 00696 // call the thunk for this owner. 00697 if (self->thunk_cptr_fn[owner_idx]) 00698 { 00699 err = c_call(self, owner_idx, verbose); 00700 if (err) goto fail; 00701 } 00702 else 00703 { 00704 rval = pycall(self, owner_idx, verbose); 00705 //rval is new ref 00706 if (rval) //pycall returned normally (no exception) 00707 { 00708 if (rval == Py_None) 00709 { 00710 Py_DECREF(rval); //ignore a return of None 00711 } 00712 else if (PyList_Check(rval)) 00713 { 00714 PyErr_SetString(PyExc_TypeError, 00715 "non-lazy thunk should return None, not list"); 00716 err = 1; 00717 goto pyfail; 00718 } 00719 else // don't know what it returned, but it wasn't right. 00720 { 00721 PyErr_SetObject(PyExc_TypeError, rval); 00722 err = 1; 00723 // We don't release rval since we put it in the error above 00724 goto fail; 00725 } 00726 } 00727 else // pycall returned NULL (internal error) 00728 { 00729 err = 1; 00730 goto fail; 00731 } 00732 } 00733 } 00734 00735 // loop over all outputs and mark them as computed 00736 for (int i = 0; i < self->node_n_outputs[owner_idx]; ++i) 00737 { 00738 self->var_computed[self->node_outputs[owner_idx][i]] = 1; 00739 } 00740 00741 // Free vars that are not needed anymore 00742 if (self->allow_gc) 00743 { 00744 for (int i = 0; i < self->node_n_inputs[owner_idx]; ++i) 00745 { 00746 int cleanup = 1; 00747 Py_ssize_t i_idx = self->node_inputs[owner_idx][i]; 00748 if (!self->var_has_owner[i_idx]) 00749 continue; 00750 00751 for (int j = 0; j < self->n_output_vars; ++j) 00752 { 00753 if (i_idx == self->output_vars[j]) 00754 { 00755 cleanup = 0; 00756 break; 00757 } 00758 } 00759 if (!cleanup) continue; 00760 00761 for (int j = 0; j < self->n_dependencies[i_idx]; ++j) 00762 { 00763 if (!self->var_computed[self->dependencies[i_idx][j]]) 00764 { 00765 cleanup = 0; 00766 break; 00767 } 00768 } 00769 if (!cleanup) continue; 00770 00771 Py_INCREF(Py_None); 00772 err = PyList_SetItem(self->var_value_cells[i_idx], 0, Py_None); 00773 //See the Stack gc implementation for why we change it to 2 and not 0. 00774 self->var_computed[i_idx] = 2; 00775 if (err) goto fail; 00776 } 00777 } 00778 00779 return 0; 00780 pyfail: 00781 Py_DECREF(rval); 00782 fail: 00783 set_position_of_error(self, owner_idx); 00784 return err; 00785 } 00786 00787 static PyObject * 00788 CLazyLinker_call(PyObject *_self, PyObject *args, PyObject *kwds) 00789 { 00790 CLazyLinker * self = (CLazyLinker*)_self; 00791 static char *kwlist[] = { 00792 (char *)"time_thunks", 00793 (char *)"n_calls", 00794 (char *)"output_subset", 00795 NULL}; 00796 int n_calls=1; 00797 PyObject *output_subset_ptr = NULL; 00798 if (! PyArg_ParseTupleAndKeywords(args, kwds, "|iiO", kwlist, 00799 &self->do_timing, 00800 &n_calls, 00801 &output_subset_ptr)) 00802 return NULL; 00803 00804 int err = 0; 00805 // parse an output_subset list 00806 // it is stored as a bool list of length n_output_vars: calculate a var or not 00807 char *output_subset = NULL; 00808 int output_subset_size = -1; 00809 if (output_subset_ptr != NULL) 00810 { 00811 if (! PyList_Check(output_subset_ptr)) 00812 { 00813 err = 1; 00814 PyErr_SetString(PyExc_RuntimeError, "Output_subset is not a list"); 00815 } 00816 else 00817 { 00818 output_subset_size = PyList_Size(output_subset_ptr); 00819 output_subset = (char*)calloc(self->n_output_vars, sizeof(char)); 00820 for (int it = 0; it < output_subset_size; ++it) 00821 { 00822 PyObject *elem = PyList_GetItem(output_subset_ptr, it); 00823 if (! PyInt_Check(elem)) 00824 { 00825 err = 1; 00826 PyErr_SetString(PyExc_RuntimeError, "Some elements of output_subset list are not int"); 00827 } 00828 output_subset[PyInt_AsLong(elem)] = 1; 00829 } 00830 } 00831 } 00832 00833 self->position_of_error = -1; 00834 // create constants used to fill the var_compute_cells 00835 PyObject * one = PyInt_FromLong(1); 00836 PyObject * zero = PyInt_FromLong(0); 00837 00838 // pre-allocate our return value 00839 Py_INCREF(Py_None); 00840 PyObject * rval = Py_None; 00841 //clear storage of pre_call_clear elements 00842 for (int call_i = 0; call_i < n_calls && (!err); ++call_i) 00843 { 00844 Py_ssize_t n_pre_call_clear = PyList_Size(self->pre_call_clear); 00845 assert(PyList_Check(self->pre_call_clear)); 00846 for (int i = 0; i < n_pre_call_clear; ++i) 00847 { 00848 PyObject * el_i = PyList_GetItem(self->pre_call_clear, i); 00849 Py_INCREF(Py_None); 00850 PyList_SetItem(el_i, 0, Py_None); 00851 } 00852 //clear the computed flag out of all non-input vars 00853 for (int i = 0; i < self->n_vars; ++i) 00854 { 00855 self->var_computed[i] = !self->var_has_owner[i]; 00856 if (self->var_computed[i]) 00857 { 00858 Py_INCREF(one); 00859 PyList_SetItem(self->var_computed_cells[i], 0, one); 00860 } 00861 else 00862 { 00863 Py_INCREF(zero); 00864 PyList_SetItem(self->var_computed_cells[i], 0, zero); 00865 } 00866 } 00867 00868 int first_updated = self->n_output_vars - self->n_updates; 00869 for (int i = 0; i < self->n_output_vars && (!err); ++i) 00870 { 00871 if (i >= first_updated || output_subset == NULL || output_subset[i] == 1) 00872 { 00873 err = lazy_rec_eval(self, self->output_vars[i], one, zero); 00874 } 00875 } 00876 00877 if (!err) 00878 { 00879 // save references to outputs prior to updating storage containers 00880 assert (self->n_output_vars >= self->n_updates); 00881 Py_DECREF(rval); 00882 rval = PyList_New(self->n_output_vars); 00883 for (int i = 0; i < (self->n_output_vars); ++i) 00884 { 00885 Py_ssize_t src = self->output_vars[i]; 00886 PyObject * item = PyList_GetItem(self->var_value_cells[src], 0); 00887 if ((output_subset == NULL || output_subset[i]) && 00888 self->var_computed[src] != 1) 00889 { 00890 err = 1; 00891 PyErr_Format(PyExc_AssertionError, 00892 "The compute map of output %d should contain " 00893 "1 at the end of execution, not %d.", 00894 i, self->var_computed[src]); 00895 break; 00896 } 00897 Py_INCREF(item); 00898 PyList_SetItem(rval, i, item); 00899 } 00900 } 00901 00902 if (!err) 00903 { 00904 // Update the inputs that have an update rule 00905 for (int i = 0; i < self->n_updates; ++i) 00906 { 00907 PyObject* tmp = PyList_GetItem(rval, self->n_output_vars - self->n_updates + i); 00908 Py_INCREF(tmp); 00909 Py_ssize_t dst = self->update_storage[i]; 00910 PyList_SetItem(self->var_value_cells[dst], 0, tmp); 00911 } 00912 } 00913 } 00914 00915 /* 00916 Clear everything that is left and not an output. This is needed 00917 for lazy evaluation since the current GC algo is too conservative 00918 with lazy graphs. 00919 */ 00920 if (self->allow_gc && !err) 00921 { 00922 for (Py_ssize_t i = 0; i < self->n_vars; ++i) 00923 { 00924 int do_cleanup = 1; 00925 if (!self->var_has_owner[i] || !self->var_computed[i]) 00926 continue; 00927 for (int j = 0; j < self->n_output_vars; ++j) 00928 { 00929 if (i == self->output_vars[j]) 00930 { 00931 do_cleanup = 0; 00932 break; 00933 } 00934 } 00935 if (!do_cleanup) 00936 continue; 00937 Py_INCREF(Py_None); 00938 PyList_SetItem(self->var_value_cells[i], 0, Py_None); 00939 } 00940 } 00941 if (output_subset != NULL) 00942 free(output_subset); 00943 00944 Py_DECREF(one); 00945 Py_DECREF(zero); 00946 if (err) 00947 { 00948 Py_DECREF(rval); 00949 return NULL; 00950 } 00951 return rval; 00952 } 00953 00954 #if 0 00955 static PyMethodDef CLazyLinker_methods[] = { 00956 { 00957 //"name", (PyCFunction)CLazyLinker_accept, METH_VARARGS, "Return the name, combining the first and last name" 00958 }, 00959 {NULL} /* Sentinel */ 00960 }; 00961 #endif 00962 00963 00964 static PyObject * 00965 CLazyLinker_get_allow_gc(CLazyLinker *self, void *closure) 00966 { 00967 return PyBool_FromLong(self->allow_gc); 00968 } 00969 00970 static int 00971 CLazyLinker_set_allow_gc(CLazyLinker *self, PyObject *value, void *closure) 00972 { 00973 if(!PyBool_Check(value)) 00974 return -1; 00975 00976 if (value == Py_True) 00977 self->allow_gc = true; 00978 else 00979 self->allow_gc = false; 00980 return 0; 00981 } 00982 00983 static PyGetSetDef CLazyLinker_getset[] = { 00984 {(char*)"allow_gc", 00985 (getter)CLazyLinker_get_allow_gc, 00986 (setter)CLazyLinker_set_allow_gc, 00987 (char*)"do this function support allow_gc", 00988 NULL}, 00989 {NULL, NULL, NULL, NULL} /* Sentinel */ 00990 }; 00991 static PyMemberDef CLazyLinker_members[] = { 00992 {(char*)"nodes", T_OBJECT_EX, offsetof(CLazyLinker, nodes), 0, 00993 (char*)"list of nodes"}, 00994 {(char*)"thunks", T_OBJECT_EX, offsetof(CLazyLinker, thunks), 0, 00995 (char*)"list of thunks in program"}, 00996 {(char*)"call_counts", T_OBJECT_EX, offsetof(CLazyLinker, call_counts), 0, 00997 (char*)"number of calls of each thunk"}, 00998 {(char*)"call_times", T_OBJECT_EX, offsetof(CLazyLinker, call_times), 0, 00999 (char*)"total runtime in each thunk"}, 01000 {(char*)"position_of_error", T_INT, offsetof(CLazyLinker, position_of_error), 0, 01001 (char*)"position of failed thunk"}, 01002 {(char*)"time_thunks", T_INT, offsetof(CLazyLinker, do_timing), 0, 01003 (char*)"bool: nonzero means call will time thunks"}, 01004 {(char*)"need_update_inputs", T_INT, offsetof(CLazyLinker, need_update_inputs), 0, 01005 (char*)"bool: nonzero means Function.__call__ must implement update mechanism"}, 01006 {NULL} /* Sentinel */ 01007 }; 01008 01009 static PyTypeObject lazylinker_ext_CLazyLinkerType = { 01010 #if defined(NPY_PY3K) 01011 PyVarObject_HEAD_INIT(NULL, 0) 01012 #else 01013 PyObject_HEAD_INIT(NULL) 01014 0, /*ob_size*/ 01015 #endif 01016 "lazylinker_ext.CLazyLinker", /*tp_name*/ 01017 sizeof(CLazyLinker), /*tp_basicsize*/ 01018 0, /*tp_itemsize*/ 01019 CLazyLinker_dealloc, /*tp_dealloc*/ 01020 0, /*tp_print*/ 01021 0, /*tp_getattr*/ 01022 0, /*tp_setattr*/ 01023 0, /*tp_compare*/ 01024 0, /*tp_repr*/ 01025 0, /*tp_as_number*/ 01026 0, /*tp_as_sequence*/ 01027 0, /*tp_as_mapping*/ 01028 0, /*tp_hash */ 01029 CLazyLinker_call, /*tp_call*/ 01030 0, /*tp_str*/ 01031 0, /*tp_getattro*/ 01032 0, /*tp_setattro*/ 01033 0, /*tp_as_buffer*/ 01034 Py_TPFLAGS_DEFAULT|Py_TPFLAGS_BASETYPE, /*tp_flags*/ 01035 "CLazyLinker object", /* tp_doc */ 01036 0, /* tp_traverse */ 01037 0, /* tp_clear */ 01038 0, /* tp_richcompare */ 01039 0, /* tp_weaklistoffset */ 01040 0, /* tp_iter */ 01041 0, /* tp_iternext */ 01042 0,//CLazyLinker_methods, /* tp_methods */ 01043 CLazyLinker_members, /* tp_members */ 01044 CLazyLinker_getset, /* tp_getset */ 01045 0, /* tp_base */ 01046 0, /* tp_dict */ 01047 0, /* tp_descr_get */ 01048 0, /* tp_descr_set */ 01049 0, /* tp_dictoffset */ 01050 (initproc)CLazyLinker_init,/* tp_init */ 01051 0, /* tp_alloc */ 01052 CLazyLinker_new, /* tp_new */ 01053 }; 01054 01055 static PyObject * get_version(PyObject *dummy, PyObject *args) 01056 { 01057 PyObject *result = PyFloat_FromDouble(0.211); 01058 return result; 01059 } 01060 01061 static PyMethodDef lazylinker_ext_methods[] = { 01062 {"get_version", get_version, METH_VARARGS, "Get extension version."}, 01063 {NULL, NULL, 0, NULL} /* Sentinel */ 01064 }; 01065 01066 #if defined(NPY_PY3K) 01067 static struct PyModuleDef moduledef = { 01068 PyModuleDef_HEAD_INIT, 01069 "lazylinker_ext", 01070 NULL, 01071 -1, 01072 lazylinker_ext_methods, 01073 NULL, 01074 NULL, 01075 NULL, 01076 NULL 01077 }; 01078 #endif 01079 #if defined(NPY_PY3K) 01080 #define RETVAL m 01081 PyMODINIT_FUNC 01082 PyInit_lazylinker_ext(void) { 01083 #else 01084 #define RETVAL 01085 PyMODINIT_FUNC 01086 initlazylinker_ext(void) 01087 { 01088 #endif 01089 PyObject* m; 01090 01091 lazylinker_ext_CLazyLinkerType.tp_new = PyType_GenericNew; 01092 if (PyType_Ready(&lazylinker_ext_CLazyLinkerType) < 0) 01093 return RETVAL; 01094 #if defined(NPY_PY3K) 01095 m = PyModule_Create(&moduledef); 01096 #else 01097 m = Py_InitModule3("lazylinker_ext", lazylinker_ext_methods, 01098 "Example module that creates an extension type."); 01099 #endif 01100 Py_INCREF(&lazylinker_ext_CLazyLinkerType); 01101 PyModule_AddObject(m, "CLazyLinker", (PyObject *)&lazylinker_ext_CLazyLinkerType); 01102 01103 return RETVAL; 01104 } 01105 Problem occurred during compilation with the command line below: /usr/bin/g++ -shared -g -march=ivybridge -mmmx -mno-3dnow -msse -msse2 -msse3 -mssse3 -mno-sse4a -mcx16 -msahf -mno-movbe -maes -mno-sha -mpclmul -mpopcnt -mno-abm -mno-lwp -mno-fma -mno-fma4 -mno-xop -mno-bmi -mno-bmi2 -mno-tbm -mavx -mno-avx2 -msse4.2 -msse4.1 -mno-lzcnt -mno-rtm -mno-hle -mrdrnd -mf16c -mfsgsbase -mno-rdseed -mno-prfchw -mno-adx -mfxsr -mxsave -mxsaveopt -mno-avx512f -mno-avx512er -mno-avx512cd -mno-avx512pf -mno-prefetchwt1 -mno-clflushopt -mno-xsavec -mno-xsaves -mno-avx512dq -mno-avx512bw -mno-avx512vl -mno-avx512ifma -mno-avx512vbmi -mno-clwb -mno-mwaitx -mno-clzero -mno-pku --param l1-cache-size=32 --param l1-cache-line-size=64 --param l2-cache-size=6144 -mtune=ivybridge -DNPY_NO_DEPRECATED_API=NPY_1_7_API_VERSION -m64 -fPIC -I/home/n1amr/.pyenv/versions/2.7.12/lib/python2.7/site-packages/numpy/core/include -I/home/n1amr/.pyenv/versions/2.7.12/include/python2.7 -I/home/n1amr/.pyenv/versions/env_nn/lib/python2.7/site-packages/theano/gof -L/home/n1amr/.pyenv/versions/2.7.12/lib -fvisibility=hidden -o /home/n1amr/.theano/compiledir_Linux-4.10--generic-x86_64-with-debian-stretch-sid-x86_64-2.7.12-64/lazylinker_ext/lazylinker_ext.so /home/n1amr/.theano/compiledir_Linux-4.10--generic-x86_64-with-debian-stretch-sid-x86_64-2.7.12-64/lazylinker_ext/mod.cpp -lpython2.7 =============================== =============================== /home/n1amr/.pyenv/versions/2.7.12/lib/libpython2.7.a(posixmodule.o): In function `posix_tmpnam': /home/n1amr/.pyenv/sources/2.7.12/Python-2.7.12/./Modules/posixmodule.c:7631: warning: the use of `tmpnam_r' is dangerous, better use `mkstemp' /home/n1amr/.pyenv/versions/2.7.12/lib/libpython2.7.a(posixmodule.o): In function `posix_tempnam': /home/n1amr/.pyenv/sources/2.7.12/Python-2.7.12/./Modules/posixmodule.c:7578: warning: the use of `tempnam' is dangerous, better use `mkstemp' /usr/bin/ld: /home/n1amr/.pyenv/versions/2.7.12/lib/libpython2.7.a(classobject.o): relocation R_X86_64_PC32 against symbol `_Py_NotImplementedStruct' can not be used when making a shared object; recompile with -fPIC /usr/bin/ld: final link failed: Bad value collect2: error: ld returned 1 exit statusTraceback (most recent call last):
File "train.py", line 5, in
import nn_utils.network_utils as network_utils
File "/home/n1amr/GRUV/nn_utils/network_utils.py", line 1, in
from keras.models import Sequential
File "/home/n1amr/.pyenv/versions/env_nn/lib/python2.7/site-packages/keras/models.py", line 3, in
import theano
File "/home/n1amr/.pyenv/versions/env_nn/lib/python2.7/site-packages/theano/init.py", line 66, in
from theano.compile import (
File "/home/n1amr/.pyenv/versions/env_nn/lib/python2.7/site-packages/theano/compile/init.py", line 10, in
from theano.compile.function_module import *
File "/home/n1amr/.pyenv/versions/env_nn/lib/python2.7/site-packages/theano/compile/function_module.py", line 21, in
import theano.compile.mode
File "/home/n1amr/.pyenv/versions/env_nn/lib/python2.7/site-packages/theano/compile/mode.py", line 10, in
import theano.gof.vm
File "/home/n1amr/.pyenv/versions/env_nn/lib/python2.7/site-packages/theano/gof/vm.py", line 662, in
from . import lazylinker_c
File "/home/n1amr/.pyenv/versions/env_nn/lib/python2.7/site-packages/theano/gof/lazylinker_c.py", line 127, in
preargs=args)
File "/home/n1amr/.pyenv/versions/env_nn/lib/python2.7/site-packages/theano/gof/cmodule.py", line 2316, in compile_str
(status, compile_stderr.replace('\n', '. ')))
Exception: Compilation failed (return status=1): /home/n1amr/.pyenv/versions/2.7.12/lib/libpython2.7.a(posixmodule.o): In function
posix_tmpnam':. /home/n1amr/.pyenv/sources/2.7.12/Python-2.7.12/./Modules/posixmodule.c:7631: warning: the use oftmpnam_r' is dangerous, better usemkstemp'. /home/n1amr/.pyenv/versions/2.7.12/lib/libpython2.7.a(posixmodule.o): In functionposix_tempnam':. /home/n1amr/.pyenv/sources/2.7.12/Python-2.7.12/./Modules/posixmodule.c:7578: warning: the use oftempnam' is dangerous, better usemkstemp'. /usr/bin/ld: /home/n1amr/.pyenv/versions/2.7.12/lib/libpython2.7.a(classobject.o): relocation R_X86_64_PC32 against symbol `_Py_NotImplementedStruct' can not be used when making a shared object; recompile with -fPIC. /usr/bin/ld: final link failed: Bad value. collect2: error: ld returned 1 exit status.Packages versions:
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