Merge pull request #7817 from reyoung/feature/rename_is_compile_gpu_to_is_compiled_with_cuda

Rename is_compile_gpu to is_compiled_with_cuda

paddle/pybind/pybind.cc

@@ -53,7 +53,7 @@ static size_t UniqueIntegerGenerator(const std::string &prefix) {
   return generators[prefix].fetch_add(1);
 }
 
-bool IsCompileGPU() {
+bool IsCompiledWithCUDA() {
 #ifndef PADDLE_WITH_CUDA
   return false;
 #else
@@ -431,7 +431,7 @@ All parameter, weight, gradient are variables in Paddle.
   m.def("init_glog", framework::InitGLOG);
   m.def("init_devices", &framework::InitDevices);
 
-  m.def("is_compile_gpu", IsCompileGPU);
+  m.def("is_compiled_with_cuda", IsCompiledWithCUDA);
 
   m.def("set_feed_variable", framework::SetFeedVariable);
   m.def("get_fetch_variable", framework::GetFetchVariable);

python/paddle/v2/fluid/__init__.py

@@ -89,7 +89,7 @@ def __bootstrap__():
     read_env_flags = [
         'use_pinned_memory', 'check_nan_inf', 'do_memory_benchmark'
     ]
-    if core.is_compile_gpu():
+    if core.is_compiled_with_cuda():
         read_env_flags += ['fraction_of_gpu_memory_to_use', 'op_sync']
     core.init_gflags([sys.argv[0]] +
                      ["--tryfromenv=" + ",".join(read_env_flags)])

python/paddle/v2/fluid/tests/op_test.py

@@ -334,7 +334,7 @@ class OpTest(unittest.TestCase):
 
     def check_output(self, atol=1e-5):
         places = [core.CPUPlace()]
-        if core.is_compile_gpu() and core.op_support_gpu(self.op_type):
+        if core.is_compiled_with_cuda() and core.op_support_gpu(self.op_type):
             places.append(core.CUDAPlace(0))
         for place in places:
             self.check_output_with_place(place, atol)
@@ -367,7 +367,7 @@ class OpTest(unittest.TestCase):
                    max_relative_error=0.005,
                    user_defined_grads=None):
         places = [core.CPUPlace()]
-        if core.is_compile_gpu() and core.op_support_gpu(self.op_type):
+        if core.is_compiled_with_cuda() and core.op_support_gpu(self.op_type):
             places.append(core.CUDAPlace(0))
         for place in places:
             self.check_grad_with_place(place, inputs_to_check, output_names,

python/paddle/v2/fluid/tests/test_adagrad_op.py

@@ -180,7 +180,7 @@ class TestSparseAdagradOp(unittest.TestCase):
 
     def test_sparse_adagrad(self):
         places = [core.CPUPlace()]
-        if core.is_compile_gpu():
+        if core.is_compiled_with_cuda():
             places.append(core.CUDAPlace(0))
         for place in places:
             self.check_with_place(place)

python/paddle/v2/fluid/tests/test_adam_op.py

@@ -305,7 +305,7 @@ class TestSparseAdamOp(unittest.TestCase):
 
     def test_sparse_sgd(self):
         places = [core.CPUPlace()]
-        if core.is_compile_gpu():
+        if core.is_compiled_with_cuda():
             places.append(core.CUDAPlace(0))
         for place in places:
             self.check_with_place(place)

python/paddle/v2/fluid/tests/test_batch_norm_op.py

@@ -352,7 +352,7 @@ class TestBatchNormOp(OpTest):
             print "op test backward passed: ", str(place), data_layout
 
         places = [core.CPUPlace()]
-        if core.is_compile_gpu() and core.op_support_gpu("batch_norm"):
+        if core.is_compiled_with_cuda() and core.op_support_gpu("batch_norm"):
             places.append(core.CUDAPlace(0))
 
         for place in places:

python/paddle/v2/fluid/tests/test_gaussian_random_op.py

@@ -33,7 +33,7 @@ class TestGaussianRandomOp(unittest.TestCase):
         self.gaussian_random_test(place=fluid.CPUPlace())
 
     def test_gpu(self):
-        if core.is_compile_gpu():
+        if core.is_compiled_with_cuda():
             self.gaussian_random_test(place=fluid.CUDAPlace(0))
 
     def gaussian_random_test(self, place):

python/paddle/v2/fluid/tests/test_normalization_wrapper.py

@@ -46,7 +46,7 @@ class TestNormalization(unittest.TestCase):
         """Run the test program.
         """
         places = [core.CPUPlace()]
-        if core.is_compile_gpu():
+        if core.is_compiled_with_cuda():
             places.append(core.CUDAPlace(0))
 
         for place in places:

python/paddle/v2/fluid/tests/test_op_support_gpu.py

@@ -18,7 +18,8 @@ import paddle.v2.fluid.core as core
 
 class TestOpSupportGPU(unittest.TestCase):
     def test_case(self):
-        self.assertEqual(core.is_compile_gpu(), core.op_support_gpu("sum"))
+        self.assertEqual(core.is_compiled_with_cuda(),
+                         core.op_support_gpu("sum"))
 
 
 if __name__ == '__main__':

python/paddle/v2/fluid/tests/test_parallel_op.py

@@ -53,7 +53,7 @@ class BaseParallelForTest(unittest.TestCase):
             fetch=fetch,
             place=cpu,
             use_parallel=True)
-        if fluid.core.is_compile_gpu():
+        if fluid.core.is_compiled_with_cuda():
             gpu = fluid.CUDAPlace(0)
             result_gpu = self._run_test_impl_(
                 callback=callback,

python/paddle/v2/fluid/tests/test_profiler.py

@@ -23,7 +23,7 @@ import paddle.v2.fluid.core as core
 
 class TestProfiler(unittest.TestCase):
     def test_nvprof(self):
-        if not fluid.core.is_compile_gpu():
+        if not fluid.core.is_compiled_with_cuda():
             return
         epoc = 8
         dshape = [4, 3, 28, 28]
@@ -42,7 +42,7 @@ class TestProfiler(unittest.TestCase):
         os.remove(output_file)
 
     def net_profiler(self, state):
-        if state == 'GPU' and not core.is_compile_gpu():
+        if state == 'GPU' and not core.is_compiled_with_cuda():
             return
         startup_program = fluid.Program()
         main_program = fluid.Program()

python/paddle/v2/fluid/tests/test_reorder_lod_tensor.py

@@ -45,7 +45,7 @@ class TestReorderLoDTensor(unittest.TestCase):
         outputs = []
         input_grads = []
         places = [core.CPUPlace()]
-        if core.is_compile_gpu():
+        if core.is_compiled_with_cuda():
             places.append(core.CUDAPlace(0))
         for place in places:
             self.set_inputs(place)

python/paddle/v2/fluid/tests/test_sgd_op.py

@@ -91,7 +91,7 @@ class TestSparseSGDOp(unittest.TestCase):
 
     def test_sparse_sgd(self):
         places = [core.CPUPlace()]
-        if core.is_compile_gpu():
+        if core.is_compiled_with_cuda():
             places.append(core.CUDAPlace(0))
         for place in places:
             self.check_with_place(place)

python/paddle/v2/fluid/tests/test_split_selected_rows_op.py

@@ -21,7 +21,7 @@ from paddle.v2.fluid.op import Operator
 class TestSpliteSelectedRows(unittest.TestCase):
     def get_places(self):
         places = [core.CPUPlace()]
-        if core.is_compile_gpu():
+        if core.is_compiled_with_cuda():
             places.append(core.CUDAPlace(0))
         return places
 

python/paddle/v2/fluid/tests/test_uniform_random_op.py

@@ -36,7 +36,7 @@ class TestUniformRandomOp(unittest.TestCase):
         self.uniform_random_test(place=core.CPUPlace())
 
     def test_gpu(self):
-        if core.is_compile_gpu():
+        if core.is_compiled_with_cuda():
             self.uniform_random_test(place=core.CUDAPlace(0))
 
     def uniform_random_test(self, place):