Replace theano.tensor alias T with tt in theano.misc

theano/misc/burn_gpu.py

@@ -7,7 +7,8 @@ GPU power consumption then gemm call.
 import numpy as np
 
 import theano
-import theano.tensor as T
+import theano.tensor as tt
+
 from theano.gpuarray import dnn
 from theano.tensor.nnet.abstract_conv import get_conv_output_shape
 
@@ -17,9 +18,9 @@ def burn():
     img_shp = [sz, sz, sz, sz]
     kern_shp = [sz // 2, sz, 3, 3]
     out_shp = get_conv_output_shape(img_shp, kern_shp, "valid", (1, 1))
-    img = T.tensor4("img")
-    kern = T.tensor4("kern")
-    out = T.tensor4("out")
+    img = tt.tensor4("img")
+    kern = tt.tensor4("kern")
+    out = tt.tensor4("out")
 
     def rand(shp):
         return np.random.rand(*shp).astype(theano.config.floatX)

theano/misc/check_blas.py

@@ -10,11 +10,12 @@
 import os
 import sys
 import time
-from optparse import OptionParser
 
 import numpy as np
 import theano
-import theano.tensor as T
+import theano.tensor as tt
+
+from optparse import OptionParser
 
 
 def execute(execute=True, verbose=True, M=2000, N=2000, K=2000, iters=10, order="C"):
@@ -52,7 +53,7 @@ def execute(execute=True, verbose=True, M=2000, N=2000, K=2000, iters=10, order=
     a = theano.shared(np.ones((M, N), dtype=theano.config.floatX, order=order))
     b = theano.shared(np.ones((N, K), dtype=theano.config.floatX, order=order))
     c = theano.shared(np.ones((M, K), dtype=theano.config.floatX, order=order))
-    f = theano.function([], updates=[(c, 0.4 * c + 0.8 * T.dot(a, b))])
+    f = theano.function([], updates=[(c, 0.4 * c + 0.8 * tt.dot(a, b))])
 
     if any([x.op.__class__.__name__ == "Gemm" for x in f.maker.fgraph.toposort()]):
         c_impl = [

theano/misc/elemwise_time_test.py

-from optparse import OptionParser
 import sys
 import time
 
 import numpy as np
 
 import theano
-import theano.tensor as T
+import theano.tensor as tt
+
+from optparse import OptionParser
 
 
 parser = OptionParser(
@@ -42,11 +43,11 @@ def evalTime(f, v, script=False, loops=1000):
 
 
 def ElemwiseOpTime(N, script=False, loops=1000):
-    x = T.vector("x")
+    x = tt.vector("x")
     np.random.seed(1235)
     v = np.random.random(N).astype(theano.config.floatX)
     f = theano.function([x], 2 * x + x * x)
-    f1 = theano.function([x], T.tanh(x))
+    f1 = theano.function([x], tt.tanh(x))
     if not script:
         if theano.config.openmp:
             print("With openmp:")