From c6880467be63d9167936f42e2bbd56a19cf6117f Mon Sep 17 00:00:00 2001
From: Kazuaki Ishizaki <ishizaki@jp.ibm.com>
Date: Wed, 11 Mar 2020 02:31:27 +0900
Subject: [PATCH] minor spelling tweaks
---
tensorflow/lite/experimental/examples/lstm/g3doc/README.md | 2 +-
tensorflow/lite/experimental/examples/lstm/rnn_cell.py | 2 +-
tensorflow/lite/experimental/kernels/hashtable_ops_test.cc | 4 ++--
tensorflow/lite/experimental/objc/apis/TFLInterpreter.h | 4 ++--
tensorflow/lite/experimental/resource/lookup_util.h | 2 +-
tensorflow/lite/experimental/ruy/pack_avx2.cc | 2 +-
tensorflow/lite/experimental/ruy/platform.h | 2 +-
tensorflow/lite/experimental/ruy/test.h | 6 +++---
tensorflow/lite/experimental/ruy/tune.h | 6 +++---
.../tensorflow/lite/support/tensorbuffer/TensorBuffer.java | 2 +-
.../lite/experimental/swift/Sources/Interpreter.swift | 2 +-
.../lite/experimental/swift/Sources/InterpreterError.swift | 2 +-
12 files changed, 18 insertions(+), 18 deletions(-)
diff --git a/tensorflow/lite/experimental/examples/lstm/g3doc/README.md b/tensorflow/lite/experimental/examples/lstm/g3doc/README.md
index 87c37d3541c..7f1d31d808e 100644
--- a/tensorflow/lite/experimental/examples/lstm/g3doc/README.md
+++ b/tensorflow/lite/experimental/examples/lstm/g3doc/README.md
@@ -154,7 +154,7 @@ class MnistLstmModel(object):
"""Build the model using the given configs.
Returns:
- x: The input placehoder tensor.
+ x: The input placeholder tensor.
logits: The logits of the output.
output_class: The prediction.
"""
diff --git a/tensorflow/lite/experimental/examples/lstm/rnn_cell.py b/tensorflow/lite/experimental/examples/lstm/rnn_cell.py
index 5017de9b93b..3d5ebf4946f 100644
--- a/tensorflow/lite/experimental/examples/lstm/rnn_cell.py
+++ b/tensorflow/lite/experimental/examples/lstm/rnn_cell.py
@@ -163,7 +163,7 @@ class TFLiteLSTMCell(rnn_cell_impl.LayerRNNCell):
"""Long short-term memory unit (LSTM) recurrent network cell.
This is used only for TfLite, it provides hints and it also makes the
- variables in the desired for the tflite ops (transposed and seaparated).
+ variables in the desired for the tflite ops (transposed and separated).
The default non-peephole implementation is based on:
diff --git a/tensorflow/lite/experimental/kernels/hashtable_ops_test.cc b/tensorflow/lite/experimental/kernels/hashtable_ops_test.cc
index cb57d464c2a..4e4100b3734 100644
--- a/tensorflow/lite/experimental/kernels/hashtable_ops_test.cc
+++ b/tensorflow/lite/experimental/kernels/hashtable_ops_test.cc
@@ -29,7 +29,7 @@ limitations under the License.
namespace tflite {
-// Forward declaraction for op kernels.
+// Forward declaration for op kernels.
namespace ops {
namespace custom {
@@ -505,7 +505,7 @@ class HashtableGraph {
TestErrorReporter error_reporter_;
};
-// HashtableDefaultGraphTest tests hash table feautres on a basic graph, created
+// HashtableDefaultGraphTest tests hash table features on a basic graph, created
// by the HashtableGraph class.
template <typename KeyType, typename ValueType>
class HashtableDefaultGraphTest {
diff --git a/tensorflow/lite/experimental/objc/apis/TFLInterpreter.h b/tensorflow/lite/experimental/objc/apis/TFLInterpreter.h
index 3c06a4bc82f..333047cc307 100644
--- a/tensorflow/lite/experimental/objc/apis/TFLInterpreter.h
+++ b/tensorflow/lite/experimental/objc/apis/TFLInterpreter.h
@@ -63,10 +63,10 @@ typedef NS_ENUM(NSUInteger, TFLInterpreterErrorCode) {
/** Failed to allocate memory for tensors. */
TFLInterpreterErrorCodeFailedToAllocateTensors,
- /** Operaton not allowed without allocating memory for tensors first. */
+ /** Operation not allowed without allocating memory for tensors first. */
TFLInterpreterErrorCodeAllocateTensorsRequired,
- /** Operaton not allowed without invoking the interpreter first. */
+ /** Operation not allowed without invoking the interpreter first. */
TFLInterpreterErrorCodeInvokeInterpreterRequired,
};
diff --git a/tensorflow/lite/experimental/resource/lookup_util.h b/tensorflow/lite/experimental/resource/lookup_util.h
index bb2c1c53ce5..3bf53d72481 100644
--- a/tensorflow/lite/experimental/resource/lookup_util.h
+++ b/tensorflow/lite/experimental/resource/lookup_util.h
@@ -39,7 +39,7 @@ class TensorReader {
const T* input_data_;
};
-/// Helper class for accesing TFLite tensor data. This specialized class is for
+/// Helper class for accessing TFLite tensor data. This specialized class is for
/// std::string type.
template <>
class TensorReader<std::string> {
diff --git a/tensorflow/lite/experimental/ruy/pack_avx2.cc b/tensorflow/lite/experimental/ruy/pack_avx2.cc
index 061f9831a84..417eee6ae46 100644
--- a/tensorflow/lite/experimental/ruy/pack_avx2.cc
+++ b/tensorflow/lite/experimental/ruy/pack_avx2.cc
@@ -567,7 +567,7 @@ inline void PackFloatAvx2Packer(const float* src_ptr, const float* zerobuf,
RUY_DCHECK_EQ(PackImplFloatAvx2::Layout::kCols, 8);
RUY_DCHECK_EQ(PackImplFloatAvx2::Layout::kRows, 1);
- // This packing amounts to tranposition of 8x8 blocks.
+ // This packing amounts to transposition of 8x8 blocks.
static constexpr int kPackCols = 8; // Source cols packed together.
static constexpr int kPackRows = 8; // Short input is padded.
diff --git a/tensorflow/lite/experimental/ruy/platform.h b/tensorflow/lite/experimental/ruy/platform.h
index 7121a7a2f38..d86c9576e5c 100644
--- a/tensorflow/lite/experimental/ruy/platform.h
+++ b/tensorflow/lite/experimental/ruy/platform.h
@@ -57,7 +57,7 @@ limitations under the License.
//
// These are mostly sub-selections of architectures.
-// Detect NEON. Explictly avoid emulation, or anything like it, on x86.
+// Detect NEON. Explicitly avoid emulation, or anything like it, on x86.
#if (defined(__ARM_NEON) || defined(__ARM_NEON__)) && !RUY_PLATFORM(X86)
#define RUY_DONOTUSEDIRECTLY_NEON 1
#else
diff --git a/tensorflow/lite/experimental/ruy/test.h b/tensorflow/lite/experimental/ruy/test.h
index 25766c5949a..a7b2ff483b2 100644
--- a/tensorflow/lite/experimental/ruy/test.h
+++ b/tensorflow/lite/experimental/ruy/test.h
@@ -252,7 +252,7 @@ Scalar Parametrized(float param) {
template <typename Scalar>
struct RandomRangeBounds<Scalar, false> {
static Scalar GetMinBound(RandomRange range) {
- static constexpr double offcentredness =
+ static constexpr double offcenteredness =
0.02; // Shift lower limit by about 5 for range of 255.
switch (range) {
case RandomRange::kGeneral:
@@ -262,8 +262,8 @@ struct RandomRangeBounds<Scalar, false> {
case RandomRange::kOffCenterAvoidMinValue:
return 1 + std::numeric_limits<Scalar>::lowest() +
static_cast<Scalar>(
- offcentredness * std::numeric_limits<Scalar>::max() -
- offcentredness *
+ offcenteredness * std::numeric_limits<Scalar>::max() -
+ offcenteredness *
(std::numeric_limits<Scalar>::lowest() + 1));
case RandomRange::kReasonableSrcZeroPoint:
return std::numeric_limits<Scalar>::lowest();
diff --git a/tensorflow/lite/experimental/ruy/tune.h b/tensorflow/lite/experimental/ruy/tune.h
index c6257781402..be38ca3fab0 100644
--- a/tensorflow/lite/experimental/ruy/tune.h
+++ b/tensorflow/lite/experimental/ruy/tune.h
@@ -129,16 +129,16 @@ class TuningResolver {
// access to that.
friend class TuneTool;
// Actually runs a nano-benchmark, producing a real number called 'ratio'
- // whose meaning is generally opaque / implemenation defined. Typically,
+ // whose meaning is generally opaque / implementation defined. Typically,
// this would be the ratio between the latencies of two different
// pieces of asm code differing only by the ordering of instructions,
// revealing whether the CPU cares about such ordering details.
- // An implemenation may just return a dummy value if it is not based on
+ // An implementation may just return a dummy value if it is not based on
// such nanobenchmarking / ratio evaluation.
float EvalRatio();
// Empirically determined threshold on ratio values delineating
// out-of-order (ratios closer to 1) from in-order (ratios farther from 1).
- // An implemenation may just return a dummy value if it is not based on
+ // An implementation may just return a dummy value if it is not based on
// such nanobenchmarking / ratio evaluation.
float ThresholdRatio();
// Perform the tuning resolution now. That may typically use EvalRatio and
diff --git a/tensorflow/lite/experimental/support/java/src/java/org/tensorflow/lite/support/tensorbuffer/TensorBuffer.java b/tensorflow/lite/experimental/support/java/src/java/org/tensorflow/lite/support/tensorbuffer/TensorBuffer.java
index ea6a085a3bc..6a9311c81aa 100644
--- a/tensorflow/lite/experimental/support/java/src/java/org/tensorflow/lite/support/tensorbuffer/TensorBuffer.java
+++ b/tensorflow/lite/experimental/support/java/src/java/org/tensorflow/lite/support/tensorbuffer/TensorBuffer.java
@@ -363,7 +363,7 @@ public abstract class TensorBuffer {
return true;
}
- // This shape refers to a multidimentional array.
+ // This shape refers to a multidimensional array.
for (int s : shape) {
// All elements in shape should be non-negative.
if (s < 0) {
diff --git a/tensorflow/lite/experimental/swift/Sources/Interpreter.swift b/tensorflow/lite/experimental/swift/Sources/Interpreter.swift
index 680d8918547..b83c36c4e1d 100644
--- a/tensorflow/lite/experimental/swift/Sources/Interpreter.swift
+++ b/tensorflow/lite/experimental/swift/Sources/Interpreter.swift
@@ -270,7 +270,7 @@ extension Interpreter {
}
}
-/// A type alias for `Interpreter.Options` to support backwards compatiblity with the deprecated
+/// A type alias for `Interpreter.Options` to support backwards compatibility with the deprecated
/// `InterpreterOptions` struct.
@available(*, deprecated, renamed: "Interpreter.Options")
public typealias InterpreterOptions = Interpreter.Options
diff --git a/tensorflow/lite/experimental/swift/Sources/InterpreterError.swift b/tensorflow/lite/experimental/swift/Sources/InterpreterError.swift
index f6372614483..1e21ec52405 100644
--- a/tensorflow/lite/experimental/swift/Sources/InterpreterError.swift
+++ b/tensorflow/lite/experimental/swift/Sources/InterpreterError.swift
@@ -44,7 +44,7 @@ extension InterpreterError: LocalizedError {
case .failedToCreateInterpreter:
return "Failed to create the interpreter."
case .failedToResizeInputTensor(let index):
- return "Failed to resize input tesnor at index \(index)."
+ return "Failed to resize input tensor at index \(index)."
case .failedToCopyDataToInputTensor:
return "Failed to copy data to input tensor."
case .failedToAllocateTensors: