TFX Standard Components Walkthrough Reviews

Tanai A. · Reviewed over 2 years ago

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. · Reviewed over 2 years ago

lab does not work with current notebook settings

Guendalina C. · Reviewed over 2 years ago

Tamás P. · Reviewed over 2 years ago

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. · Reviewed over 2 years ago

Arvindh R. · Reviewed over 2 years ago

--------------------------------------------------------------------------- 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. · Reviewed over 2 years ago

Carl M. · Reviewed over 2 years ago

please update the lab for latest version of tensorflow

Arvindh R. · Reviewed over 2 years ago

Federico F. · Reviewed over 2 years ago

Carl M. · Reviewed over 2 years ago

Mahdieh K. · Reviewed over 2 years ago

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. · Reviewed over 2 years ago

Eduardo J. · Reviewed over 2 years ago

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. · Reviewed over 2 years ago

Marco M. · Reviewed over 2 years ago

Aleksei K. · Reviewed over 2 years ago

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

Ivan R. · Reviewed over 2 years ago

Anas K. · Reviewed over 2 years ago

cluster is not getting created to deploy at task 2

Grishma S. · Reviewed over 2 years ago

Kubeflow was stuck and didnt deploy

Harry B. · Reviewed over 2 years ago

Big issue with resources in US regions, no available pipeline capacity, deploying takes 10 times more than its written on the walkthrough (20 mins instead of 2-3 mins), Jupyterlab wasnt working in a new tab at all and now I will need to waste another 2 hours to finish this lab...

Harry B. · Reviewed over 2 years ago

Rohith S. · Reviewed over 2 years ago

there is an error

Luckkumikanthan L. · Reviewed over 2 years ago