experiments/STT-tensorflow
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fix typos in cc dir

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This commit is contained in:
Dmitry Volodin 2020-10-28 23:10:33 +03:00
parent 018ad69342
commit 1311da2e89
4 changed files with 7 additions and 7 deletions
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4
tensorflow/cc/experimental/base/public/tensor.h
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@ -76,7 +76,7 @@ class Tensor {
// unknown rank. // unknown rank.
int dims() const; int dims() const;
// Returns the number of elements in in demension `d`. // Returns the number of elements in dimension `d`.
// REQUIRES: `0 <= d < dims()` // REQUIRES: `0 <= d < dims()`
int64_t dim_size(int d) const; int64_t dim_size(int d) const;
@ -154,7 +154,7 @@ inline Tensor Tensor::FromBuffer(TF_DataType dtype,
// 1. Only a function pointer is sent across the C API (&DeleterFunction) // 1. Only a function pointer is sent across the C API (&DeleterFunction)
// 2. DeleterFunction is defined in the same build artifact that constructed // 2. DeleterFunction is defined in the same build artifact that constructed
// the std::function (so there isn't confusion about std::function ABI). // the std::function (so there isn't confusion about std::function ABI).
// Note that 2. is satisifed by the fact that this is a header-only API, where // Note that 2. is satisfied by the fact that this is a header-only API, where
// the function implementations are inline. // the function implementations are inline.
DeleterStruct* deleter_struct = new DeleterStruct{deleter}; DeleterStruct* deleter_struct = new DeleterStruct{deleter};

2
tensorflow/cc/gradients/nn_grad.cc
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@ -67,7 +67,7 @@ bool IsZero(const Scope& scope, const Output& grad) {
// mat: A 2-D tensor of dimension [D0, D1] // mat: A 2-D tensor of dimension [D0, D1]
// //
// Returns: // Returns:
// A tensor of dimension [D0, D1], the result fo vec * mat. // A tensor of dimension [D0, D1], the result for vec * mat.
Output BroadcastMul(const Scope& scope, const Output& vec, const Output& mat) { Output BroadcastMul(const Scope& scope, const Output& vec, const Output& mat) {
auto reshaped = ExpandDims(scope, vec, -1); auto reshaped = ExpandDims(scope, vec, -1);
return Multiply(scope, reshaped, mat); return Multiply(scope, reshaped, mat);

2
tensorflow/cc/saved_model/experimental/public/saved_model_api.h
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@ -84,7 +84,7 @@ class SavedModelAPI {
SignatureDefFunction* GetSignatureDefFunction( SignatureDefFunction* GetSignatureDefFunction(
const std::string& function_path, Status* status); const std::string& function_path, Status* status);
// Lists all Conrete Functions available from the SavedModel. // Lists all Concrete Functions available from the SavedModel.
std::vector<ConcreteFunction*> ListFunctions(); std::vector<ConcreteFunction*> ListFunctions();
// SavedModelAPI is movable, but not copyable. // SavedModelAPI is movable, but not copyable.

6
tensorflow/cc/tools/freeze_saved_model_test.cc
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@ -138,7 +138,7 @@ class FreezeTest : public ::testing::Test {
} }
TF_ASSERT_OK(scope.ToGraphDef(&graph_def)); TF_ASSERT_OK(scope.ToGraphDef(&graph_def));
// "c" isnt dependent on the variable, so nothing should be frozen. // "c" isn't dependent on the variable, so nothing should be frozen.
TF_ASSERT_OK(AddGraphDefWithOutputsToSavedModelBundle( TF_ASSERT_OK(AddGraphDefWithOutputsToSavedModelBundle(
graph_def, {"c:0"}, "assign", &saved_model_bundle)); graph_def, {"c:0"}, "assign", &saved_model_bundle));
@ -183,7 +183,7 @@ class FreezeTest : public ::testing::Test {
} }
Output c = ops::Mul(scope.WithOpName("c"), a, read_var); Output c = ops::Mul(scope.WithOpName("c"), a, read_var);
TF_ASSERT_OK(scope.ToGraphDef(&graph_def)); TF_ASSERT_OK(scope.ToGraphDef(&graph_def));
// "c" isnt dependent on the variable, so nothing should be frozen. // "c" isn't dependent on the variable, so nothing should be frozen.
TF_ASSERT_OK(AddGraphDefWithOutputsToSavedModelBundle( TF_ASSERT_OK(AddGraphDefWithOutputsToSavedModelBundle(
graph_def, {"c:0"}, "assign", &saved_model_bundle)); graph_def, {"c:0"}, "assign", &saved_model_bundle));
@ -244,7 +244,7 @@ class FreezeTest : public ::testing::Test {
Output c = ops::Mul(scope.WithOpName("c"), a, read_var); Output c = ops::Mul(scope.WithOpName("c"), a, read_var);
TF_ASSERT_OK(scope.ToGraphDef(&graph_def)); TF_ASSERT_OK(scope.ToGraphDef(&graph_def));
// "c" isnt dependent on the variable, so nothing should be frozen. // "c" isn't dependent on the variable, so nothing should be frozen.
TF_ASSERT_OK(AddGraphDefWithOutputsToSavedModelBundle( TF_ASSERT_OK(AddGraphDefWithOutputsToSavedModelBundle(
graph_def, {"c:0"}, "assign", &saved_model_bundle)); graph_def, {"c:0"}, "assign", &saved_model_bundle));