make_keras_dictnet_model.py:40: UserWarning: Update yourConv2Dcall to the Keras 2 API:Conv2D(64, (5, 5), weights=[array([[[..., input_shape=(1, 32, 10..., activation="relu", padding="same") input_shape=(1, img_rows, img_cols),activation='relu',border_mode='same')) Traceback (most recent call last): File "make_keras_dictnet_model.py", line 40, in <module> input_shape=(1, img_rows, img_cols),activation='relu',border_mode='same')) File "C:\Users\GleeTrees\Anaconda3\envs\wild\lib\site-packages\keras\engine\sequential.py", line 165, in add layer(x) File "C:\Users\GleeTrees\Anaconda3\envs\wild\lib\site-packages\keras\engine\base_layer.py", line 431, in __call__ self.build(unpack_singleton(input_shapes)) File "C:\Users\GleeTrees\Anaconda3\envs\wild\lib\site-packages\keras\layers\convolutional.py", line 141, in build constraint=self.kernel_constraint) File "C:\Users\GleeTrees\Anaconda3\envs\wild\lib\site-packages\keras\legacy\interfaces.py", line 91, in wrapper return func(*args, **kwargs) File "C:\Users\GleeTrees\Anaconda3\envs\wild\lib\site-packages\keras\engine\base_layer.py", line 249, in add_weight weight = K.variable(initializer(shape), File "C:\Users\GleeTrees\Anaconda3\envs\wild\lib\site-packages\keras\initializers.py", line 218, in __call__ dtype=dtype, seed=self.seed) File "C:\Users\GleeTrees\Anaconda3\envs\wild\lib\site-packages\keras\backend\theano_backend.py", line 2630, in random_uniform return rng.uniform(shape, low=minval, high=maxval, dtype=dtype) File "C:\Users\GleeTrees\Anaconda3\envs\wild\lib\site-packages\theano\sandbox\rng_mrg.py", line 872, in uniform rstates = self.get_substream_rstates(nstreams, dtype) File "C:\Users\GleeTrees\Anaconda3\envs\wild\lib\site-packages\theano\configparser.py", line 117, in res return f(*args, **kwargs) File "C:\Users\GleeTrees\Anaconda3\envs\wild\lib\site-packages\theano\sandbox\rng_mrg.py", line 779, in get_substream_rstates multMatVect(rval[0], A1p72, M1, A2p72, M2) File "C:\Users\GleeTrees\Anaconda3\envs\wild\lib\site-packages\theano\sandbox\rng_mrg.py", line 62, in multMatVect [A_sym, s_sym, m_sym, A2_sym, s2_sym, m2_sym], o, profile=False) File "C:\Users\GleeTrees\Anaconda3\envs\wild\lib\site-packages\theano\compile\function.py", line 317, in function output_keys=output_keys) File "C:\Users\GleeTrees\Anaconda3\envs\wild\lib\site-packages\theano\compile\pfunc.py", line 486, in pfunc output_keys=output_keys) File "C:\Users\GleeTrees\Anaconda3\envs\wild\lib\site-packages\theano\compile\function_module.py", line 1841, in orig_function fn = m.create(defaults) File "C:\Users\GleeTrees\Anaconda3\envs\wild\lib\site-packages\theano\compile\function_module.py", line 1715, in create input_storage=input_storage_lists, storage_map=storage_map) File "C:\Users\GleeTrees\Anaconda3\envs\wild\lib\site-packages\theano\gof\link.py", line 699, in make_thunk storage_map=storage_map)[:3] File "C:\Users\GleeTrees\Anaconda3\envs\wild\lib\site-packages\theano\gof\vm.py", line 1091, in make_all impl=impl)) File "C:\Users\GleeTrees\Anaconda3\envs\wild\lib\site-packages\theano\gof\op.py", line 955, in make_thunk no_recycling) File "C:\Users\GleeTrees\Anaconda3\envs\wild\lib\site-packages\theano\gof\op.py", line 858, in make_c_thunk output_storage=node_output_storage) File "C:\Users\GleeTrees\Anaconda3\envs\wild\lib\site-packages\theano\gof\cc.py", line 1217, in make_thunk keep_lock=keep_lock) File "C:\Users\GleeTrees\Anaconda3\envs\wild\lib\site-packages\theano\gof\cc.py", line 1157, in __compile__ keep_lock=keep_lock) File "C:\Users\GleeTrees\Anaconda3\envs\wild\lib\site-packages\theano\gof\cc.py", line 1609, in cthunk_factory key = self.cmodule_key() File "C:\Users\GleeTrees\Anaconda3\envs\wild\lib\site-packages\theano\gof\cc.py", line 1300, in cmodule_key c_compiler=self.c_compiler(), File "C:\Users\GleeTrees\Anaconda3\envs\wild\lib\site-packages\theano\gof\cc.py", line 1379, in cmodule_key_ np.core.multiarray._get_ndarray_c_version()) AttributeError: ('The following error happened while compiling the node', DotModulo(A, s, m, A2, s2, m2), '\n', "module 'numpy.core.multiarray' has no attribute '_get_ndarray_c_version'")
Hi I have the following issue after override the class and methods.
Conda list:
# Name Version Build Channel _tflow_select 2.3.0 mkl absl-py 0.7.1 py37_0 astor 0.7.1 py37_0 blas 1.0 mkl ca-certificates 2019.1.23 0 certifi 2019.3.9 py37_0 gast 0.2.2 py37_0 grpcio 1.16.1 py37h351948d_1 h5py 2.9.0 py37h5e291fa_0 hdf5 1.10.4 h7ebc959_0 icc_rt 2019.0.0 h0cc432a_1 intel-openmp 2019.3 203 keras 2.2.4 0 keras-applications 1.0.7 py_0 keras-base 2.2.4 py37_0 keras-preprocessing 1.0.9 py_0 libgpuarray 0.7.6 hfa6e2cd_0 libmklml 2019.0.3 0 libprotobuf 3.7.1 h7bd577a_0 libpython 2.1 py37_0 m2w64-binutils 2.25.1 5 m2w64-bzip2 1.0.6 6 m2w64-crt-git 5.0.0.4636.2595836 2 m2w64-gcc 5.3.0 6 m2w64-gcc-ada 5.3.0 6 m2w64-gcc-fortran 5.3.0 6 m2w64-gcc-libgfortran 5.3.0 6 m2w64-gcc-libs 5.3.0 7 m2w64-gcc-libs-core 5.3.0 7 m2w64-gcc-objc 5.3.0 6 m2w64-gmp 6.1.0 2 m2w64-headers-git 5.0.0.4636.c0ad18a 2 m2w64-isl 0.16.1 2 m2w64-libiconv 1.14 6 m2w64-libmangle-git 5.0.0.4509.2e5a9a2 2 m2w64-libwinpthread-git 5.0.0.4634.697f757 2 m2w64-make 4.1.2351.a80a8b8 2 m2w64-mpc 1.0.3 3 m2w64-mpfr 3.1.4 4 m2w64-pkg-config 0.29.1 2 m2w64-toolchain 5.3.0 7 m2w64-tools-git 5.0.0.4592.90b8472 2 m2w64-windows-default-manifest 6.4 3 m2w64-winpthreads-git 5.0.0.4634.697f757 2 m2w64-zlib 1.2.8 10 mako 1.0.9 py37_0 markdown 3.1 py37_0 markupsafe 1.1.1 py37he774522_0 mingw 4.7 1 mkl 2019.3 203 mkl-service 1.1.2 py37hb782905_5 mkl_fft 1.0.12 py37h14836fe_0 mkl_random 1.0.2 py37h343c172_0 mock 2.0.0 py37_0 msys2-conda-epoch 20160418 1 nose 1.3.7 py37_2 numpy 1.16.3 py37h19fb1c0_0 numpy-base 1.16.3 py37hc3f5095_0 openssl 1.1.1b he774522_1 pbr 5.1.3 py_0 pip 19.1.1 py37_0 protobuf 3.7.1 py37h33f27b4_0 pygpu 0.7.6 py37h452e1ab_0 pyreadline 2.1 py37_1 python 3.7.3 h8c8aaf0_1 pyyaml 5.1 py37he774522_0 scipy 1.2.1 py37h29ff71c_0 setuptools 41.0.1 py37_0 six 1.12.0 py37_0 sqlite 3.28.0 he774522_0 tensorboard 1.13.1 py37h33f27b4_0 tensorflow 1.13.1 mkl_py37h9463c59_0 tensorflow-base 1.13.1 mkl_py37hcaf7020_0 tensorflow-estimator 1.13.0 py_0 termcolor 1.1.0 py37_1 theano 1.0.4+11.gbb2daf975 pypi_0 pypi vc 14.1 h0510ff6_4 vs2015_runtime 14.15.26706 h3a45250_4 werkzeug 0.15.2 py_0 wheel 0.33.4 py37_0 wincertstore 0.2 py37_0 yaml 0.1.7 hc54c509_2 zlib 1.2.11 h62dcd97_3make_keras_dictnet_model.py:40: UserWarning: Update yourConv2Dcall to the Keras 2 API:Conv2D(64, (5, 5), weights=[array([[[..., input_shape=(1, 32, 10..., activation="relu", padding="same")input_shape=(1, img_rows, img_cols),activation='relu',border_mode='same')) Traceback (most recent call last): File "make_keras_dictnet_model.py", line 40, in <module> input_shape=(1, img_rows, img_cols),activation='relu',border_mode='same')) File "C:\Users\GleeTrees\Anaconda3\envs\wild\lib\site-packages\keras\engine\sequential.py", line 165, in add layer(x) File "C:\Users\GleeTrees\Anaconda3\envs\wild\lib\site-packages\keras\engine\base_layer.py", line 431, in __call__ self.build(unpack_singleton(input_shapes)) File "C:\Users\GleeTrees\Anaconda3\envs\wild\lib\site-packages\keras\layers\convolutional.py", line 141, in build constraint=self.kernel_constraint) File "C:\Users\GleeTrees\Anaconda3\envs\wild\lib\site-packages\keras\legacy\interfaces.py", line 91, in wrapper return func(*args, **kwargs) File "C:\Users\GleeTrees\Anaconda3\envs\wild\lib\site-packages\keras\engine\base_layer.py", line 249, in add_weight weight = K.variable(initializer(shape), File "C:\Users\GleeTrees\Anaconda3\envs\wild\lib\site-packages\keras\initializers.py", line 218, in __call__ dtype=dtype, seed=self.seed) File "C:\Users\GleeTrees\Anaconda3\envs\wild\lib\site-packages\keras\backend\theano_backend.py", line 2630, in random_uniform return rng.uniform(shape, low=minval, high=maxval, dtype=dtype) File "C:\Users\GleeTrees\Anaconda3\envs\wild\lib\site-packages\theano\sandbox\rng_mrg.py", line 872, in uniform rstates = self.get_substream_rstates(nstreams, dtype) File "C:\Users\GleeTrees\Anaconda3\envs\wild\lib\site-packages\theano\configparser.py", line 117, in res return f(*args, **kwargs) File "C:\Users\GleeTrees\Anaconda3\envs\wild\lib\site-packages\theano\sandbox\rng_mrg.py", line 779, in get_substream_rstates multMatVect(rval[0], A1p72, M1, A2p72, M2) File "C:\Users\GleeTrees\Anaconda3\envs\wild\lib\site-packages\theano\sandbox\rng_mrg.py", line 62, in multMatVect [A_sym, s_sym, m_sym, A2_sym, s2_sym, m2_sym], o, profile=False) File "C:\Users\GleeTrees\Anaconda3\envs\wild\lib\site-packages\theano\compile\function.py", line 317, in function output_keys=output_keys) File "C:\Users\GleeTrees\Anaconda3\envs\wild\lib\site-packages\theano\compile\pfunc.py", line 486, in pfunc output_keys=output_keys) File "C:\Users\GleeTrees\Anaconda3\envs\wild\lib\site-packages\theano\compile\function_module.py", line 1841, in orig_function fn = m.create(defaults) File "C:\Users\GleeTrees\Anaconda3\envs\wild\lib\site-packages\theano\compile\function_module.py", line 1715, in create input_storage=input_storage_lists, storage_map=storage_map) File "C:\Users\GleeTrees\Anaconda3\envs\wild\lib\site-packages\theano\gof\link.py", line 699, in make_thunk storage_map=storage_map)[:3] File "C:\Users\GleeTrees\Anaconda3\envs\wild\lib\site-packages\theano\gof\vm.py", line 1091, in make_all impl=impl)) File "C:\Users\GleeTrees\Anaconda3\envs\wild\lib\site-packages\theano\gof\op.py", line 955, in make_thunk no_recycling) File "C:\Users\GleeTrees\Anaconda3\envs\wild\lib\site-packages\theano\gof\op.py", line 858, in make_c_thunk output_storage=node_output_storage) File "C:\Users\GleeTrees\Anaconda3\envs\wild\lib\site-packages\theano\gof\cc.py", line 1217, in make_thunk keep_lock=keep_lock) File "C:\Users\GleeTrees\Anaconda3\envs\wild\lib\site-packages\theano\gof\cc.py", line 1157, in __compile__ keep_lock=keep_lock) File "C:\Users\GleeTrees\Anaconda3\envs\wild\lib\site-packages\theano\gof\cc.py", line 1609, in cthunk_factory key = self.cmodule_key() File "C:\Users\GleeTrees\Anaconda3\envs\wild\lib\site-packages\theano\gof\cc.py", line 1300, in cmodule_key c_compiler=self.c_compiler(), File "C:\Users\GleeTrees\Anaconda3\envs\wild\lib\site-packages\theano\gof\cc.py", line 1379, in cmodule_key_ np.core.multiarray._get_ndarray_c_version()) AttributeError: ('The following error happened while compiling the node', DotModulo(A, s, m, A2, s2, m2), '\n', "module 'numpy.core.multiarray' has no attribute '_get_ndarray_c_version'")