我正在尝试运行以下模型,但在编译过程中失败:
import numpy as np
import pymc3 as pm
def sample_data(G=1, K=2):
# mean proportion ([0,1]) for each g
p_g = np.random.beta(2, 2, size=G)
# concentration around each p_g
c_g = np.random.lognormal(mean=0.5, sigma=1, size=G)
# reparameterization for standard Beta(a,b)
a_g = c_g * p_g / np.sqrt(p_g**2 + (1.-p_g)**2)
b_g = c_g*(1.-p_g) / np.sqrt(p_g**2 + (1.-p_g)**2)
# for each p_g, sample K proportions
p_gk = np.random.beta(a_g[:, np.newaxis], b_g[:, np.newaxis], size=(G, K))
return p_gk
# Data size
G = 3
K = 5
# obtain a G x K array of proportions p_gk in [0,1]
data = sample_data(G, K)
with pm.Model() as m:
# Parameters
p_g = pm.Beta('p_g', 1., 1., shape=G)
sd_g = pm.HalfNormal('sd_g', sd=1., shape=G)
# Observed proportions
p_gk = pm.Beta('p_gk', mu=p_g, sd=sd_g, shape=(G, K), observed=data)
trace = pm.sample(2000)
有这些错误:
Exception: ("Compilation failed (return status=1):
/Users/mfansler/.theano/compiledir_Darwin-17.6.0-x86_64-i386-64bit-i386-3.6.3-64/tmpr58gulp2/mod.cpp:400:27:
error: non-constant-expression cannot be narrowed from type 'npy_intp' (aka 'long') to 'int' in initializer list [-Wc++11-narrowing].
int init_totals[2] = {V3_n0, V3_n1};.
^~~~~.
/Users/mfansler/.theano/compiledir_Darwin-17.6.0-x86_64-i386-64bit-i386-3.6.3-64/tmpr58gulp2/mod.cpp:400:27:
note: insert an explicit cast to silence this issue.
int init_totals[2] = {V3_n0, V3_n1};.
^~~~~.
static_cast<int>( ).
/Users/mfansler/.theano/compiledir_Darwin-17.6.0-x86_64-i386-64bit-i386-3.6.3-64/tmpr58gulp2/mod.cpp:400:34:
error: non-constant-expression cannot be narrowed from type 'npy_intp' (aka 'long') to 'int' in initializer list [-Wc++11-narrowing].
int init_totals[2] = {V3_n0, V3_n1};.
^~~~~.
/Users/mfansler/.theano/compiledir_Darwin-17.6.0-x86_64-i386-64bit-i386-3.6.3-64/tmpr58gulp2/mod.cpp:400:34:
note: insert an explicit cast to silence this issue.
int init_totals[2] = {V3_n0, V3_n1};.
^~~~~.
static_cast<int>( ).
/Users/mfansler/.theano/compiledir_Darwin-17.6.0-x86_64-i386-64bit-i386-3.6.3-64/tmpr58gulp2/mod.cpp:412:9:
error: non-constant-expression cannot be narrowed from type 'ssize_t' (aka 'long') to 'int' in initializer list [-Wc++11-narrowing].
V3_stride0, V3_stride1, .
^~~~~~~~~~.
/Users/mfansler/.theano/compiledir_Darwin-17.6.0-x86_64-i386-64bit-i386-3.6.3-64/tmpr58gulp2/mod.cpp:412:9:
note: insert an explicit cast to silence this issue.
V3_stride0, V3_stride1, .
^~~~~~~~~~.
static_cast<int>( ).
/Users/mfansler/.theano/compiledir_Darwin-17.6.0-x86_64-i386-64bit-i386-3.6.3-64/tmpr58gulp2/mod.cpp:412:21:
error: non-constant-expression cannot be narrowed from type 'ssize_t' (aka 'long') to 'int' in initializer list [-Wc++11-narrowing].
V3_stride0, V3_stride1, .
^~~~~~~~~~.
/Users/mfansler/.theano/compiledir_Darwin-17.6.0-x86_64-i386-64bit-i386-3.6.3-64/tmpr58gulp2/mod.cpp:412:21:
note: insert an explicit cast to silence this issue.
V3_stride0, V3_stride1, .
^~~~~~~~~~.
static_cast<int>( ).
/Users/mfansler/.theano/compiledir_Darwin-17.6.0-x86_64-i386-64bit-i386-3.6.3-64/tmpr58gulp2/mod.cpp:413:1:
error: non-constant-expression cannot be narrowed from type 'ssize_t' (aka 'long') to 'int' in initializer list [-Wc++11-narrowing].
V1_stride0, V1_stride1.
^~~~~~~~~~.
/Users/mfansler/.theano/compiledir_Darwin-17.6.0-x86_64-i386-64bit-i386-3.6.3-64/tmpr58gulp2/mod.cpp:413:1:
note: insert an explicit cast to silence this issue.
V1_stride0, V1_stride1.
^~~~~~~~~~.
static_cast<int>( ).
/Users/mfansler/.theano/compiledir_Darwin-17.6.0-x86_64-i386-64bit-i386-3.6.3-64/tmpr58gulp2/mod.cpp:413:13:
error: non-constant-expression cannot be narrowed from type 'ssize_t' (aka 'long') to 'int' in initializer list [-Wc++11-narrowing].
V1_stride0, V1_stride1.
^~~~~~~~~~.
/Users/mfansler/.theano/compiledir_Darwin-17.6.0-x86_64-i386-64bit-i386-3.6.3-64/tmpr58gulp2/mod.cpp:413:13:
note: insert an explicit cast to silence this issue.
V1_stride0, V1_stride1.
^~~~~~~~~~.
static_cast<int>( ).
6 errors generated.. ", '[Elemwise{log,no_inplace}(TensorConstant{[[0.297343..76841722]]})]')
我是 PyMC3 的新手。运行现有 PyMC3 示例时,我没有看到这些错误。我怀疑我看到这些是因为我使用的是多维格式(即,(G,K)
),因为我还没有看到其他人使用这种格式(我可能是在强加我对 Stan 的熟悉程度)。
一般来说,我很难理解如何实现具有多个维度的多级模型。
知道是什么导致了我看到的错误吗?
版本
- 蟒蛇3.6.3
- numpy 1.14.5
- Theano 1.0.2
- pymc3 3.4.1
- Mac OS 10.13.5
更新
我在 HPC 节点(CentOS 7)上安装了相同的软件包版本(通过conda
),并且能够运行@colcarroll 建议的模型的修改版本。然而,在我的 OS X 机器上,我仍然看到上面指出的 Theano 编译错误,即使模型发生了变化。这可能是个clang
问题吗?可以指定 Theano 使用的编译器吗?