Tutorial sobre os componentes padrão do TFX avaliações

Could not get python imports to work

Abdul Z. · Revisado há over 2 years

it still doesn't work! Now Jupiterlab won't open.

Paul M. · Revisado há over 2 years

The lab is not compatible with python 3 anymore... the lab can not be completed

Tamás P. · Revisado há over 2 years

Dariusz Ł. · Revisado há over 2 years

Codes not running or compatible to latest versions

suvojyoti c. · Revisado há over 2 years

Tanai A. · Revisado há over 2 years

Error on `pip install tensorflow_model_analysis` gcc: build/src.linux-x86_64-3.10/numpy/core/src/multiarray/scalartypes.c numpy/core/src/multiarray/scalartypes.c.src: In function ‘float_arrtype_hash’: numpy/core/src/multiarray/scalartypes.c.src:2967:27: error: incompatible type for argument 1 of ‘_Py_HashDouble’ 2967 | return _Py_HashDouble((double) PyArrayScalar_VAL(obj, @name@)); In file included from /opt/conda/include/python3.10/Python.h:77, from numpy/core/src/multiarray/scalartypes.c.src:3: /opt/conda/include/python3.10/pyhash.h:10:38: note: expected ‘PyObject *’ {aka ‘struct _object *’} but argument is of type ‘double’ 10 | PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double); | ^~~~~~~~~~ numpy/core/src/multiarray/scalartypes.c.src:2967:12: error: too few arguments to function ‘_Py_HashDouble’ 2967 | return _Py_HashDouble((double) PyArrayScalar_VAL(obj, @name@)); | ^~~~~~~~~~~~~~ In file included from /opt/conda/include/python3.10/Python.h:77, from numpy/core/src/multiarray/scalartypes.c.src:3: /opt/conda/include/python3.10/pyhash.h:10:23: note: declared here 10 | PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double); | ^~~~~~~~~~~~~~ numpy/core/src/multiarray/scalartypes.c.src: In function ‘cfloat_arrtype_hash’: numpy/core/src/multiarray/scalartypes.c.src:2975:31: error: incompatible type for argument 1 of ‘_Py_HashDouble’ 2975 | hashreal = _Py_HashDouble((double) | ^~~~~~~~ | | | double 2976 | PyArrayScalar_VAL(obj, C@name@).real); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /opt/conda/include/python3.10/Python.h:77, from numpy/core/src/multiarray/scalartypes.c.src:3: /opt/conda/include/python3.10/pyhash.h:10:38: note: expected ‘PyObject *’ {aka ‘struct _object *’} but argument is of type ‘double’ 10 | PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double); | ^~~~~~~~~~ numpy/core/src/multiarray/scalartypes.c.src:2975:16: error: too few arguments to function ‘_Py_HashDouble’ 2975 | hashreal = _Py_HashDouble((double) | ^~~~~~~~~~~~~~ In file included from /opt/conda/include/python3.10/Python.h:77, from numpy/core/src/multiarray/scalartypes.c.src:3: /opt/conda/include/python3.10/pyhash.h:10:23: note: declared here 10 | PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double); | ^~~~~~~~~~~~~~ numpy/core/src/multiarray/scalartypes.c.src:2981:31: error: incompatible type for argument 1 of ‘_Py_HashDouble’ 2981 | hashimag = _Py_HashDouble((double) | ^~~~~~~~ | | | double 2982 | PyArrayScalar_VAL(obj, C@name@).imag); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /opt/conda/include/python3.10/Python.h:77, from numpy/core/src/multiarray/scalartypes.c.src:3: /opt/conda/include/python3.10/pyhash.h:10:38: note: expected ‘PyObject *’ {aka ‘struct _object *’} but argument is of type ‘double’ 10 | PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double); | ^~~~~~~~~~ numpy/core/src/multiarray/scalartypes.c.src:2981:16: error: too few arguments to function ‘_Py_HashDouble’ 2981 | hashimag = _Py_HashDouble((double) | ^~~~~~~~~~~~~~ In file included from /opt/conda/include/python3.10/Python.h:77, from numpy/core/src/multiarray/scalartypes.c.src:3: /opt/conda/include/python3.10/pyhash.h:10:23: note: declared here 10 | PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double); | ^~~~~~~~~~~~~~ numpy/core/src/multiarray/scalartypes.c.src: In function ‘longdouble_arrtype_hash’: numpy/core/src/multiarray/scalartypes.c.src:2967:27: error: incompatible type for argument 1 of ‘_Py_HashDouble’ 2967 | return _Py_HashDouble((double) PyArrayScalar_VAL(obj, @name@)); In file included from /opt/conda/include/python3.10/Python.h:77, from numpy/core/src/multiarray/scalartypes.c.src:3: /opt/conda/include/python3.10/pyhash.h:10:38: note: expected ‘PyObject *’ {aka ‘struct _object *’} but argument is of type ‘double’ 10 | PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double); | ^~~~~~~~~~ numpy/core/src/multiarray/scalartypes.c.src:2967:12: error: too few arguments to function ‘_Py_HashDouble’ 2967 | return _Py_HashDouble((double) PyArrayScalar_VAL(obj, @name@)); | ^~~~~~~~~~~~~~ In file included from /opt/conda/include/python3.10/Python.h:77, from numpy/core/src/multiarray/scalartypes.c.src:3: /opt/conda/include/python3.10/pyhash.h:10:23: note: declared here 10 | PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double); | ^~~~~~~~~~~~~~ numpy/core/src/multiarray/scalartypes.c.src: In function ‘clongdouble_arrtype_hash’: numpy/core/src/multiarray/scalartypes.c.src:2975:31: error: incompatible type for argument 1 of ‘_Py_HashDouble’ 2975 | hashreal = _Py_HashDouble((double) | ^~~~~~~~ | | | double 2976 | PyArrayScalar_VAL(obj, C@name@).real); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /opt/conda/include/python3.10/Python.h:77, from numpy/core/src/multiarray/scalartypes.c.src:3: /opt/conda/include/python3.10/pyhash.h:10:38: note: expected ‘PyObject *’ {aka ‘struct _object *’} but argument is of type ‘double’ 10 | PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double); | ^~~~~~~~~~ numpy/core/src/multiarray/scalartypes.c.src:2975:16: error: too few arguments to function ‘_Py_HashDouble’ 2975 | hashreal = _Py_HashDouble((double) | ^~~~~~~~~~~~~~ In file included from /opt/conda/include/python3.10/Python.h:77, from numpy/core/src/multiarray/scalartypes.c.src:3: /opt/conda/include/python3.10/pyhash.h:10:23: note: declared here 10 | PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double); | ^~~~~~~~~~~~~~ numpy/core/src/multiarray/scalartypes.c.src:2981:31: error: incompatible type for argument 1 of ‘_Py_HashDouble’ 2981 | hashimag = _Py_HashDouble((double) | ^~~~~~~~ | | | double 2982 | PyArrayScalar_VAL(obj, C@name@).imag); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /opt/conda/include/python3.10/Python.h:77, from numpy/core/src/multiarray/scalartypes.c.src:3: /opt/conda/include/python3.10/pyhash.h:10:38: note: expected ‘PyObject *’ {aka ‘struct _object *’} but argument is of type ‘double’ 10 | PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double); | ^~~~~~~~~~ numpy/core/src/multiarray/scalartypes.c.src:2981:16: error: too few arguments to function ‘_Py_HashDouble’ 2981 | hashimag = _Py_HashDouble((double) | ^~~~~~~~~~~~~~ In file included from /opt/conda/include/python3.10/Python.h:77, from numpy/core/src/multiarray/scalartypes.c.src:3: /opt/conda/include/python3.10/pyhash.h:10:23: note: declared here 10 | PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double); | ^~~~~~~~~~~~~~ numpy/core/src/multiarray/scalartypes.c.src: In function ‘half_arrtype_hash’: numpy/core/src/multiarray/scalartypes.c.src:2997:27: error: incompatible type for argument 1 of ‘_Py_HashDouble’ 2997 | return _Py_HashDouble(npy_half_to_double(PyArrayScalar_VAL(obj, Half))); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ | | | double In file included from /opt/conda/include/python3.10/Python.h:77, from numpy/core/src/multiarray/scalartypes.c.src:3: /opt/conda/include/python3.10/pyhash.h:10:38: note: expected ‘PyObject *’ {aka ‘struct _object *’} but argument is of type ‘double’ 10 | PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double); | ^~~~~~~~~~ numpy/core/src/multiarray/scalartypes.c.src:2997:12: error: too few arguments to function ‘_Py_HashDouble’ 2997 | return _Py_HashDouble(npy_half_to_double(PyArrayScalar_VAL(obj, Half))); | ^~~~~~~~~~~~~~ In file included from /opt/conda/include/python3.10/Python.h:77, from numpy/core/src/multiarray/scalartypes.c.src:3: /opt/conda/include/python3.10/pyhash.h:10:23: note: declared here 10 | PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double); | ^~~~~~~~~~~~~~ numpy/core/src/multiarray/scalartypes.c.src: In function ‘longdouble_arrtype_hash’: numpy/core/src/multiarray/scalartypes.c.src:2968:1: warning: control reaches end of non-void function [-Wreturn-type] 2968 | } | ^ numpy/core/src/multiarray/scalartypes.c.src: In function ‘float_arrtype_hash’: numpy/core/src/multiarray/scalartypes.c.src:2968:1: warning: control reaches end of non-void function [-Wreturn-type] 2968 | } | ^ numpy/core/src/multiarray/scalartypes.c.src: In function ‘half_arrtype_hash’: numpy/core/src/multiarray/scalartypes.c.src:2998:1: warning: control reaches end of non-void function [-Wreturn-type] 2998 | } | ^ gcc: numpy/core/src/multiarray/scalarapi.c gcc: numpy/core/src/multiarray/vdot.c gcc: numpy/core/src/multiarray/nditer_pywrap.c gcc: numpy/core/src/umath/umathmodule.c gcc: build/src.linux-x86_64-3.10/numpy/core/src/umath/clip.c gcc: numpy/core/src/umath/reduction.c gcc: build/src.linux-x86_64-3.10/numpy/core/src/umath/loops.c gcc: numpy/core/src/umath/override.c gcc: numpy/core/src/umath/ufunc_object.c gcc: numpy/core/src/npymath/npy_math.c gcc: build/src.linux-x86_64-3.10/numpy/core/src/npymath/ieee754.c gcc: build/src.linux-x86_64-3.10/numpy/core/src/npymath/npy_math_complex.c gcc: numpy/core/src/npymath/halffloat.c gcc: numpy/core/src/common/array_assign.c gcc: numpy/core/src/common/mem_overlap.c gcc: numpy/core/src/umath/extobj.c gcc: numpy/core/src/common/npy_longdouble.c gcc: build/src.linux-x86_64-3.10/numpy/core/src/umath/scalarmath.c gcc: numpy/core/src/common/ucsnarrow.c gcc: numpy/core/src/common/ufunc_override.c gcc: numpy/core/src/common/numpyos.c gcc: build/src.linux-x86_64-3.10/numpy/core/src/common/npy_cpu_features.c gcc: numpy/core/src/umath/ufunc_type_resolution.c gcc: numpy/core/src/multiarray/mapping.c gcc: numpy/core/src/multiarray/methods.c gcc: build/src.linux-x86_64-3.10/numpy/core/src/umath/matmul.c error: Command "gcc -pthread -B /opt/conda/compiler_compat -Wno-unused-result -Wsign-compare -DNDEBUG -fwrapv -O2 -Wall -fPIC -O2 -isystem /opt/conda/include -fPIC -O2 -isystem /opt/conda/include -fPIC -DNPY_INTERNAL_BUILD=1 -DHAVE_NPY_CONFIG_H=1 -D_FILE_OFFSET_BITS=64 -D_LARGEFILE_SOURCE=1 -D_LARGEFILE64_SOURCE=1 -Ibuild/src.linux-x86_64-3.10/numpy/core/src/umath -Ibuild/src.linux-x86_64-3.10/numpy/core/src/npymath -Ibuild/src.linux-x86_64-3.10/numpy/core/src/common -Inumpy/core/include -Ibuild/src.linux-x86_64-3.10/numpy/core/include/numpy -Inumpy/core/src/common -Inumpy/core/src -Inumpy/core -Inumpy/core/src/npymath -Inumpy/core/src/multiarray -Inumpy/core/src/umath -Inumpy/core/src/npysort -I/opt/conda/include/python3.10 -Ibuild/src.linux-x86_64-3.10/numpy/core/src/common -Ibuild/src.linux-x86_64-3.10/numpy/core/src/npymath -c build/src.linux-x86_64-3.10/numpy/core/src/multiarray/scalartypes.c -o build/temp.linux-x86_64-3.10/build/src.linux-x86_64-3.10/numpy/core/src/multiarray/scalartypes.o -MMD -MF build/temp.linux-x86_64-3.10/build/src.linux-x86_64-3.10/numpy/core/src/multiarray/scalartypes.o.d" failed with exit status 1 [end of output] note: This error originates from a subprocess, and is likely not a problem with pip. ERROR: Failed building wheel for numpy Failed to build numpy ERROR: Could not build wheels for numpy, which is required to install pyproject.toml-based projects [end of output] note: This error originates from a subprocess, and is likely not a problem with pip.

ChengCheng T. · Revisado há over 2 years

lab does not work with current notebook settings

Guendalina C. · Revisado há over 2 years

Tamás P. · Revisado há over 2 years

Faulty instructions, there is no AI Platform, there is no create instance on Vertex AI Pipelines page. Tensorflow data validation library is not installed and installing permission is denied.

Arslan A. · Revisado há over 2 years

Arvindh R. · Revisado há over 2 years

--------------------------------------------------------------------------- ModuleNotFoundError Traceback (most recent call last) Cell In[1], line 7 4 import time 6 import tensorflow as tf ----> 7 import tensorflow_data_validation as tfdv

Skandarajan R. · Revisado há over 2 years

Carl M. · Revisado há over 2 years

please update the lab for latest version of tensorflow

Arvindh R. · Revisado há over 2 years

Federico F. · Revisado há over 2 years

Carl M. · Revisado há over 2 years

Mahdieh K. · Revisado há over 2 years

it still doesn't work! After 45 minutes received this error: Error encountered while creating a cluster. Please try again or select an existing cluster. Failure Reason: Error while creating the new cluster - Error: Cluster not in running state

Paul M. · Revisado há over 2 years

Eduardo J. · Revisado há over 2 years

I coul not create any pipeline it gave me an error. I spent 2 hours waiting for the cluster to be created and no success

Niloofar M. · Revisado há over 2 years

Marco M. · Revisado há over 2 years

Aleksei K. · Revisado há over 2 years

Doesn't work the deploy of kubeflow pipelines. Creating "custer-1" in zone "us-central1-a" doesm't finish

Ivan R. · Revisado há over 2 years

Anas K. · Revisado há over 2 years