Opinie (TFX Standard Components Walkthrough)

Could not get python imports to work

Abdul Z. · Sprawdzono ponad 2 lata temu

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

Paul M. · Sprawdzono ponad 2 lata temu

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

Tamás P. · Sprawdzono ponad 2 lata temu

Dariusz Ł. · Sprawdzono ponad 2 lata temu

Codes not running or compatible to latest versions

suvojyoti c. · Sprawdzono ponad 2 lata temu

Tanai A. · Sprawdzono ponad 2 lata temu

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. · Sprawdzono ponad 2 lata temu

lab does not work with current notebook settings

Guendalina C. · Sprawdzono ponad 2 lata temu

Tamás P. · Sprawdzono ponad 2 lata temu

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. · Sprawdzono ponad 2 lata temu

Arvindh R. · Sprawdzono ponad 2 lata temu

--------------------------------------------------------------------------- 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. · Sprawdzono ponad 2 lata temu

Carl M. · Sprawdzono ponad 2 lata temu

please update the lab for latest version of tensorflow

Arvindh R. · Sprawdzono ponad 2 lata temu

Federico F. · Sprawdzono ponad 2 lata temu

Carl M. · Sprawdzono ponad 2 lata temu

Mahdieh K. · Sprawdzono ponad 2 lata temu

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. · Sprawdzono ponad 2 lata temu

Eduardo J. · Sprawdzono ponad 2 lata temu

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. · Sprawdzono ponad 2 lata temu

Marco M. · Sprawdzono ponad 2 lata temu

Aleksei K. · Sprawdzono ponad 2 lata temu

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

Ivan R. · Sprawdzono ponad 2 lata temu

Anas K. · Sprawdzono ponad 2 lata temu