Remove warning by warn_float64 when we want the upcast to float64.

theano/gpuarray/blas.py

@@ -50,6 +50,7 @@ class GpuGemv(BlasOp):
         A = as_gpuarray_variable(A, ctx_name)
         x = as_gpuarray_variable(x, ctx_name)
         y = as_gpuarray_variable(y, ctx_name)
+        with theano.configparser.change_flags(warn_float64='ignore'):
             alpha = as_tensor_variable(alpha).astype('float64')
             beta = as_tensor_variable(beta).astype('float64')
 
@@ -162,6 +163,7 @@ class GpuGemm(BlasOp):
         A = as_gpuarray_variable(A, ctx_name)
         B = as_gpuarray_variable(B, ctx_name)
         C = as_gpuarray_variable(C, ctx_name)
+        with theano.configparser.change_flags(warn_float64='ignore'):
             alpha = as_tensor_variable(alpha).astype('float64')
             beta = as_tensor_variable(beta).astype('float64')
         assert alpha.ndim == 0
@@ -242,6 +244,7 @@ class GpuGer(BlasOp):
         A = as_gpuarray_variable(A, ctx_name)
         x = as_gpuarray_variable(x, ctx_name)
         y = as_gpuarray_variable(y, ctx_name)
+        with theano.configparser.change_flags(warn_float64='ignore'):
             alpha = as_tensor_variable(alpha).astype('float64')
         assert alpha.ndim == 0
         assert A.ndim == 2
@@ -380,6 +383,7 @@ class GpuGemmBatch(BlasOp):
         A = as_gpuarray_variable(A, ctx_name)
         B = as_gpuarray_variable(B, ctx_name)
         C = as_gpuarray_variable(C, ctx_name)
+        with theano.configparser.change_flags(warn_float64='ignore'):
             alpha = as_tensor_variable(alpha).astype('float64')
             beta = as_tensor_variable(beta).astype('float64')
         assert alpha.ndim == 0