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

minor spelling tweaks

Browse Source
This commit is contained in:
Kazuaki Ishizaki 2020-03-06 21:00:41 +09:00
parent efff893c70
commit 8938220c67
4 changed files with 9 additions and 9 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

2
tensorflow/lite/testing/op_tests/hardswish.py
View File

@ -33,7 +33,7 @@ def _tflite_convert_verify_num_ops(tflite_convert_function, *args, **kwargs):
tflite_model_binary = result[0] tflite_model_binary = result[0]
if not result[0]: if not result[0]:
tf.compat.v1.logging.error(result[1]) # stderr from running tflite_convert. tf.compat.v1.logging.error(result[1]) # stderr from running tflite_convert.
raise RuntimeError("Failed to bulid model: \n\n" + result[1]) raise RuntimeError("Failed to build model: \n\n" + result[1])
interpreter = tf.lite.Interpreter(model_content=tflite_model_binary) interpreter = tf.lite.Interpreter(model_content=tflite_model_binary)
interpreter.allocate_tensors() interpreter.allocate_tensors()
if len(interpreter.get_tensor_details()) != num_ops: if len(interpreter.get_tensor_details()) != num_ops:

2
tensorflow/lite/testing/parse_testdata.cc
View File

@ -63,7 +63,7 @@ std::vector<std::string> ParseLine(const std::string& line) {
} // namespace } // namespace
// Given a `filename`, produce a vector of Examples corresopnding // Given a `filename`, produce a vector of Examples corresponding
// to test cases that can be applied to a tflite model. // to test cases that can be applied to a tflite model.
TfLiteStatus ParseExamples(const char* filename, TfLiteStatus ParseExamples(const char* filename,
std::vector<Example>* examples) { std::vector<Example>* examples) {

4
tensorflow/lite/testing/tf_driver_test.cc
View File

@ -42,7 +42,7 @@ class TestDriver : public TfDriver {
} }
}; };
TEST(TfDriverTest, ReadingAndWrintingValues) { TEST(TfDriverTest, ReadingAndWritingValues) {
TestDriver driver; TestDriver driver;
ASSERT_EQ(driver.WriteAndReadBack(tensorflow::DT_FLOAT, {1, 2, 2}, ASSERT_EQ(driver.WriteAndReadBack(tensorflow::DT_FLOAT, {1, 2, 2},
"0.10,0.20,0.30,0.40"), "0.10,0.20,0.30,0.40"),
@ -55,7 +55,7 @@ TEST(TfDriverTest, ReadingAndWrintingValues) {
"0,1,y,z"); "0,1,y,z");
} }
TEST(TfDriverTest, ReadingAndWrintingValuesStrings) { TEST(TfDriverTest, ReadingAndWritingValuesStrings) {
TestDriver driver; TestDriver driver;
auto set_buffer = [](const std::vector<string>& values, string* buffer) { auto set_buffer = [](const std::vector<string>& values, string* buffer) {

10
tensorflow/lite/testing/zip_test_utils.py
View File

@ -94,7 +94,7 @@ class ExtraTocoOptions(object):
self.allow_custom_ops = False self.allow_custom_ops = False
# Rnn states that are used to support rnn / lstm cells. # Rnn states that are used to support rnn / lstm cells.
self.rnn_states = None self.rnn_states = None
# Split the LSTM inputs from 5 inoputs to 18 inputs for TFLite. # Split the LSTM inputs from 5 inputs to 18 inputs for TFLite.
self.split_tflite_lstm_inputs = None self.split_tflite_lstm_inputs = None
# The inference input type passed to TFLiteConvert. # The inference input type passed to TFLiteConvert.
self.inference_input_type = None self.inference_input_type = None
@ -168,7 +168,7 @@ def write_examples(fp, examples):
Args: Args:
fp: File-like object to write to. fp: File-like object to write to.
examples: Example dictionary consiting of keys "inputs" and "outputs" examples: Example dictionary consisting of keys "inputs" and "outputs"
""" """
def write_tensor(fp, x): def write_tensor(fp, x):
@ -196,7 +196,7 @@ def write_test_cases(fp, model_name, examples):
Args: Args:
fp: File-like object to write to. fp: File-like object to write to.
model_name: Filename where the model was written to, relative to filename. model_name: Filename where the model was written to, relative to filename.
examples: Example dictionary consiting of keys "inputs" and "outputs" examples: Example dictionary consisting of keys "inputs" and "outputs"
""" """
fp.write("load_model: %s\n" % os.path.basename(model_name)) fp.write("load_model: %s\n" % os.path.basename(model_name))
@ -262,8 +262,8 @@ def make_zip_of_tests(options,
expected_tf_failures=0): expected_tf_failures=0):
"""Helper to make a zip file of a bunch of TensorFlow models. """Helper to make a zip file of a bunch of TensorFlow models.
This does a cartestian product of the dictionary of test_parameters and This does a cartesian product of the dictionary of test_parameters and
calls make_graph() for each item in the cartestian product set. calls make_graph() for each item in the cartesian product set.
If the graph is built successfully, then make_test_inputs() is called to If the graph is built successfully, then make_test_inputs() is called to
build expected input/output value pairs. The model is then converted to tflite build expected input/output value pairs. The model is then converted to tflite
with toco, and the examples are serialized with the tflite model into a zip with toco, and the examples are serialized with the tflite model into a zip