experiments/STT-tensorflow
1
0
Fork 0
Code Issues Pull Requests Projects Releases Wiki Activity

Fix typos (#12195)

Browse Source
This commit is contained in:
Taehoon Lee 2017-08-11 09:42:14 +09:00 committed by Rasmus Munk Larsen
parent ab96f41fb4
commit 08bbfa187f
6 changed files with 11 additions and 11 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

12
tensorflow/contrib/cudnn_rnn/python/kernel_tests/cudnn_rnn_ops_test.py
View File

@ -286,14 +286,14 @@ class CudnnRNNTestSaveRestore(TensorFlowTestCase):
save_path = os.path.join(self.get_temp_dir(),
"save-restore-variable-test")
saver = saver_lib.Saver(write_version=saver_pb2.SaverDef.V2)
# Passing graph explictly, otherwise an old sess would be reused.
# Passing graph explicitly, otherwise an old sess would be reused.
with self.test_session(
use_gpu=True, graph=ops.get_default_graph()) as sess:
sess.run(variables.global_variables_initializer())
params_v = sess.run(params)
val = saver.save(sess, save_path)
self.assertEqual(save_path, val)
# Passing graph explictly, otherwise an old sess would be reused.
# Passing graph explicitly, otherwise an old sess would be reused.
with self.test_session(
use_gpu=True, graph=ops.get_default_graph()) as sess:
reset_params = state_ops.assign(
@ -328,14 +328,14 @@ class CudnnRNNTestSaveRestore(TensorFlowTestCase):
save_path = os.path.join(self.get_temp_dir(),
"save-restore-variable-test")
saver = saver_lib.Saver(write_version=saver_pb2.SaverDef.V2)
# Passing graph explictly, otherwise an old sess would be reused.
# Passing graph explicitly, otherwise an old sess would be reused.
with self.test_session(
use_gpu=True, graph=ops.get_default_graph()) as sess:
sess.run(variables.global_variables_initializer())
params_v = sess.run(param_vars)
val = saver.save(sess, save_path)
self.assertEqual(save_path, val)
# Passing graph explictly, otherwise an old sess would be reused.
# Passing graph explicitly, otherwise an old sess would be reused.
with self.test_session(
use_gpu=True, graph=ops.get_default_graph()) as sess:
reset_params = [
@ -398,14 +398,14 @@ class CudnnRNNTestSaveRestore(TensorFlowTestCase):
params=params,
is_training=False)
total_sum = sum(map(math_ops.reduce_sum, outputs))
# Passing graph explictly, otherwise an old sess would be reused.
# Passing graph explicitly, otherwise an old sess would be reused.
with self.test_session(
use_gpu=True, graph=ops.get_default_graph()) as sess:
sess.run(variables.global_variables_initializer())
total_sum_v = sess.run(total_sum)
val = saver.save(sess, save_path)
self.assertEqual(save_path, val)
# Passing graph explictly, otherwise an old sess would be reused.
# Passing graph explicitly, otherwise an old sess would be reused.
with self.test_session(
use_gpu=True, graph=ops.get_default_graph()) as sess:
reset_params = state_ops.assign(

2
tensorflow/contrib/mpi/mpi_utils.cc
View File

@ -61,7 +61,7 @@ void MPIUtils::InitMPI() {
MPI_CHECK(MPI_Comm_size(MPI_COMM_WORLD, &number_of_procs));
MPI_CHECK(MPI_Get_processor_name(my_host_name, &len));
fprintf(stderr,
"MPI Environment initialised. Process id: %d Total processes: %d "
"MPI Environment initialized. Process id: %d Total processes: %d "
"|| Hostname: %s \n",
proc_id, number_of_procs, my_host_name);
}

2
tensorflow/core/common_runtime/simple_placer.cc
View File

@ -682,7 +682,7 @@ Status SimplePlacer::Run() {
int dst_root_id = colocation_graph.FindRoot(dst->id());
auto& src_root = colocation_graph.members_[src_root_id];
auto& dst_root = colocation_graph.members_[dst_root_id];
// If both the source node and this node have paritally
// If both the source node and this node have partially
// specified a device, then 'node's device should be
// cleared: the reference edge forces 'node' to be on the
// same device as the source node.

2
tensorflow/core/protobuf/rewriter_config.proto
View File

@ -30,7 +30,7 @@ message RewriterConfig {
// Fold constants (default is OFF)
Toggle constant_folding = 3;
// If true, don't remove unecessary ops from the graph
// If true, don't remove unnecessary ops from the graph
bool disable_model_pruning = 2;
enum MemOptType {

2
tensorflow/python/framework/function.py
View File

@ -584,7 +584,7 @@ class _FuncGraph(ops.Graph):
_FuncGraph overrides ops.Graph's create_op() so that we can keep
track of all inputs into every op created inside the function. If
any input is from other graphs, we keep track of it in self.capture
and substitue the input with a place holder.
and substitute the input with a place holder.
Each captured input's corresponding place holder is converted into a
function argument and the caller passes in the captured tensor.

2
tensorflow/tools/docker/parameterized_docker_build.sh
View File

@ -13,7 +13,7 @@
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
# Paramterized build and test for TensorFlow Docker images.
# Parameterized build and test for TensorFlow Docker images.
#
# Usage:
# parameterized_docker_build.sh