Test passed but still has error

[hanyang1986]

minimize_op = train.minimize(optimizer, Loss)
ERROR: On worker 2:
UndefVarError: py_gradients not defined
#35 at /home/alex/.julia/packages/TensorFlow/gwM1d/src/TensorFlow.jl:183
#116 at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.0/Distributed/src/process_messages.jl:276
run_work_thunk at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.0/Distributed/src/process_messages.jl:56
run_work_thunk at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.0/Distributed/src/process_messages.jl:65
#102 at ./task.jl:259
Stacktrace:
[1] #remotecall_wait#154(::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}, ::Function, ::Function, ::Distributed.Worker) at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.0/Distributed/src/remotecall.jl:421
[2] remotecall_wait(::Function, ::Distributed.Worker) at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.0/Distributed/src/remotecall.jl:412
[3] #remotecall_wait#157(::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{(),Tuple{}}}, ::Function, ::Function, ::Int64) at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.0/Distributed/src/remotecall.jl:433
[4] remotecall_wait(::Function, ::Int64) at /buildworker/worker/package_linux64/build/usr/share/julia/stdlib/v1.0/Distributed/src/remotecall.jl:433
[5] top-level scope at /home/alex/.julia/packages/TensorFlow/gwM1d/src/TensorFlow.jl:182
[6] eval at ./boot.jl:319 [inlined]
[7] eval at ./sysimg.jl:68 [inlined]
[8] add_gradients_py(::Tensor{Float64}, ::Array{Any,1}, ::Nothing) at /home/alex/.julia/packages/TensorFlow/gwM1d/src/core.jl:1548
[9] gradients at /home/alex/.julia/packages/TensorFlow/gwM1d/src/core.jl:1536 [inlined] (repeats 2 times)
[10] compute_gradients(::TensorFlow.train.AdamOptimizer, ::Tensor{Float64}, ::Nothing) at /home/alex/.julia/packages/TensorFlow/gwM1d/src/train.jl:49
[11] #minimize#1(::Nothing, ::Nothing, ::Nothing, ::Function, ::TensorFlow.train.AdamOptimizer, ::Tensor{Float64}) at /home/alex/.julia/packages/TensorFlow/gwM1d/src/train.jl:41
[12] minimize(::TensorFlow.train.AdamOptimizer, ::Tensor{Float64}) at /home/alex/.julia/packages/TensorFlow/gwM1d/src/train.jl:38
[13] top-level scope at none:0

Library Versions

Trying to evaluate ENV["TF_USE_GPU"] but got error: KeyError("TF_USE_GPU")
Trying to evaluate ENV["LIBTENSORFLOW"] but got error: KeyError("LIBTENSORFLOW")

tf_version(kind=:backend) = 1.10.0
tf_version(kind=:python) = 1.10.0
tf_version(kind=:julia) = 0.10.2+

---

Python Status

PyCall.conda = false
Trying to evaluate ENV["PYTHON"] but got error: KeyError("PYTHON")
PyCall.PYTHONHOME = /home/alex/miniconda3:/home/alex/miniconda3
String(read(#= /home/alex/.julia/packages/TensorFlow/gwM1d/src/version.jl:104 =# @cmd("pip --version"))) = pip 18.1 from /home/alex/.local/lib/python3.6/site-packages/pip (python 3.6)

String(read(#= /home/alex/.julia/packages/TensorFlow/gwM1d/src/version.jl:105 =# @cmd("pip3 --version"))) = pip 18.1 from /home/alex/.local/lib/python3.6/site-packages/pip (python 3.6)

---

Julia Status

Julia Version 1.0.3
Commit 099e826241 (2018-12-18 01:34 UTC)
Platform Info:
OS: Linux (x86_64-pc-linux-gnu)
CPU: Intel(R) Core(TM) i5-2410M CPU @ 2.30GHz
WORD_SIZE: 64
LIBM: libopenlibm
LLVM: libLLVM-6.0.0 (ORCJIT, sandybridge)
Environment:
JULIA_EDITOR = atom -a
JULIA_NUM_THREADS = 2
JULIA_LOAD_PATH = @:/tmp/tmp065fxC