minor spelling tweaks
diff --git a/tensorflow/compiler/mlir/g3doc/tfl_ops.md b/tensorflow/compiler/mlir/g3doc/tfl_ops.md
index 1ca745e..d2ae435 100644
--- a/tensorflow/compiler/mlir/g3doc/tfl_ops.md
+++ b/tensorflow/compiler/mlir/g3doc/tfl_ops.md
@@ -1217,7 +1217,7 @@
### Description:
-Computes element-wise softmax activiations with the following formula
+Computes element-wise softmax activations with the following formula
exp(input) / tf.reduce_sum(exp(input * beta), dim)
diff --git a/tensorflow/compiler/mlir/tensorflow/ir/tf_generated_ops.td b/tensorflow/compiler/mlir/tensorflow/ir/tf_generated_ops.td
index 8fc3ce2..a0b201c 100644
--- a/tensorflow/compiler/mlir/tensorflow/ir/tf_generated_ops.td
+++ b/tensorflow/compiler/mlir/tensorflow/ir/tf_generated_ops.td
@@ -3033,7 +3033,7 @@
quantized range.
It determines the scale from one of input_min and input_max, then updates the
-other one to maximize the respresentable range.
+other one to maximize the representable range.
e.g.
diff --git a/tensorflow/core/api_def/base_api/api_def_QuantizeAndDequantizeV2.pbtxt b/tensorflow/core/api_def/base_api/api_def_QuantizeAndDequantizeV2.pbtxt
index eebdcbf..1830e14 100644
--- a/tensorflow/core/api_def/base_api/api_def_QuantizeAndDequantizeV2.pbtxt
+++ b/tensorflow/core/api_def/base_api/api_def_QuantizeAndDequantizeV2.pbtxt
@@ -103,7 +103,7 @@
quantized range.
It determines the scale from one of input_min and input_max, then updates the
-other one to maximize the respresentable range.
+other one to maximize the representable range.
e.g.
diff --git a/tensorflow/core/profiler/g3doc/options.md b/tensorflow/core/profiler/g3doc/options.md
index 8c4b45d..0668813 100644
--- a/tensorflow/core/profiler/g3doc/options.md
+++ b/tensorflow/core/profiler/g3doc/options.md
@@ -100,7 +100,7 @@
`-order_by`: Order the results by [name|depth|bytes|peak_bytes|residual_bytes|output_bytes|micros|accelerator_micros|cpu_micros|params|float_ops|occurrence]
-`-account_type_regexes`: Account and display the nodes whose types match one of the type regexes specified. tfprof allow user to define extra operation types for graph nodes through tensorflow.tfprof.OpLogProto proto. regexes are comma-sperated.
+`-account_type_regexes`: Account and display the nodes whose types match one of the type regexes specified. tfprof allow user to define extra operation types for graph nodes through tensorflow.tfprof.OpLogProto proto. regexes are comma-separated.
`-start_name_regexes`: Show node starting from the node that matches the regexes, recursively. regexes are comma-separated.
diff --git a/tensorflow/core/profiler/g3doc/profile_model_architecture.md b/tensorflow/core/profiler/g3doc/profile_model_architecture.md
index 4ccd43c..2fb3d84 100644
--- a/tensorflow/core/profiler/g3doc/profile_model_architecture.md
+++ b/tensorflow/core/profiler/g3doc/profile_model_architecture.md
@@ -63,7 +63,7 @@
run_count.
```python
-# To profile float opertions in commandline, you need to pass --graph_path
+# To profile float operations in commandline, you need to pass --graph_path
# and --op_log_path.
tfprof> scope -min_float_ops 1 -select float_ops -account_displayed_op_only
node name | # float_ops
diff --git a/tensorflow/go/op/wrappers.go b/tensorflow/go/op/wrappers.go
index 75a20af..f1b2f3e 100644
--- a/tensorflow/go/op/wrappers.go
+++ b/tensorflow/go/op/wrappers.go
@@ -643,7 +643,7 @@
// quantized range.
//
// It determines the scale from one of input_min and input_max, then updates the
-// other one to maximize the respresentable range.
+// other one to maximize the representable range.
//
// e.g.
//
diff --git a/tensorflow/lite/experimental/examples/lstm/g3doc/README.md b/tensorflow/lite/experimental/examples/lstm/g3doc/README.md
index 63873fd..20179d1 100644
--- a/tensorflow/lite/experimental/examples/lstm/g3doc/README.md
+++ b/tensorflow/lite/experimental/examples/lstm/g3doc/README.md
@@ -316,7 +316,7 @@
'--use_post_training_quantize',
action='store_true',
default=True,
- help='Whether or not to use post_training_quatize.')
+ help='Whether or not to use post_training_quantize.')
parsed_flags, _ = parser.parse_known_args()
train_and_export(parsed_flags)
diff --git a/tensorflow/lite/experimental/micro/examples/micro_speech/apollo3/README.md b/tensorflow/lite/experimental/micro/examples/micro_speech/apollo3/README.md
index 10be9f1..be291c8 100644
--- a/tensorflow/lite/experimental/micro/examples/micro_speech/apollo3/README.md
+++ b/tensorflow/lite/experimental/micro/examples/micro_speech/apollo3/README.md
@@ -42,7 +42,7 @@
* cmsis_power.txt: the magnitude squared of the DFT
* cmsis_power_avg.txt: the 6-bin average of the magnitude squared of
the DFT
- * Run both verisons of the 1KHz pre-processor test and then compare.
+ * Run both versons of the 1KHz pre-processor test and then compare.
* These files can be plotted with "python compare\_1k.py"
* Also prints out the number of cycles the code took to execute (using the
DWT->CYCCNT register)
@@ -60,7 +60,7 @@
* micro_power.txt: the magnitude squared of the DFT
* micro_power_avg.txt: the 6-bin average of the magnitude squared of
the DFT
- * Run both verisons of the 1KHz pre-processor test and then compare.
+ * Run both versons of the 1KHz pre-processor test and then compare.
* These files can be plotted with "python compare\_1k.py"
* Also prints out the number of cycles the code took to execute (using the
DWT->CYCCNT register)
@@ -79,7 +79,7 @@
is the same: a 1 kHz sinusoid.
* **get\_yesno\_data.cmd**: A GDB command file that runs preprocessor_test
(where TARGET=apollo3evb) and dumps the calculated data for the "yes" and
- "no" input wavfeorms to text files
+ "no" input waveforms to text files
* **\_main.c**: Point of entry for the micro_speech test
* **preprocessor_1k.cc**: A version of preprocessor.cc where a 1 kHz sinusoid
is provided as input to the preprocessor
diff --git a/tensorflow/lite/experimental/micro/tools/make/targets/ecm3531/README.md b/tensorflow/lite/experimental/micro/tools/make/targets/ecm3531/README.md
index 3e339fe..a92fc83 100644
--- a/tensorflow/lite/experimental/micro/tools/make/targets/ecm3531/README.md
+++ b/tensorflow/lite/experimental/micro/tools/make/targets/ecm3531/README.md
@@ -4,6 +4,6 @@
CONTACT INFORMATION:
Contact info@etacompute.com for more information on obtaining the Eta Compute
-SDK and evalution board.
+SDK and evaluation board.
www.etacompute.com
diff --git a/tensorflow/lite/g3doc/models/image_classification/android.md b/tensorflow/lite/g3doc/models/image_classification/android.md
index 51e354e..05fbffd 100644
--- a/tensorflow/lite/g3doc/models/image_classification/android.md
+++ b/tensorflow/lite/g3doc/models/image_classification/android.md
@@ -186,7 +186,7 @@
The output of the inference is stored in a byte array `labelProbArray`, which is
allocated in the subclass's constructor. It consists of a single outer element,
-containing one innner element for each label in the classification model.
+containing one inner element for each label in the classification model.
To run inference, we call `run()` on the interpreter instance, passing the input
and output buffers as arguments.
diff --git a/tensorflow/lite/g3doc/performance/delegates.md b/tensorflow/lite/g3doc/performance/delegates.md
index b1ccb9e..bf4a86a 100644
--- a/tensorflow/lite/g3doc/performance/delegates.md
+++ b/tensorflow/lite/g3doc/performance/delegates.md
@@ -81,7 +81,7 @@
};
// Create the TfLiteRegistration for the Kernel node which will replace
-// the subrgaph in the main TfLite graph.
+// the subgraph in the main TfLite graph.
TfLiteRegistration GetMyDelegateNodeRegistration() {
// This is the registration for the Delegate Node that gets added to
// the TFLite graph instead of the subGraph it replaces.
