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TfLite one_hot int8 and unit8 feature support #27422

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Mar 3, 2020
Merged

TfLite one_hot int8 and unit8 feature support #27422

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8 changes: 8 additions & 0 deletions tensorflow/lite/kernels/one_hot.cc
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Original file line number Diff line number Diff line change
Expand Up @@ -128,6 +128,8 @@ TfLiteStatus Prepare(TfLiteContext* context, TfLiteNode* node) {
case kTfLiteInt16:
case kTfLiteInt32:
case kTfLiteInt64:
case kTfLiteInt8:
case kTfLiteUInt8:
case kTfLiteBool:
op_context.output->type = op_context.dtype;
break;
Expand Down Expand Up @@ -172,6 +174,12 @@ TfLiteStatus Eval(TfLiteContext* context, TfLiteNode* node) {
case kTfLiteInt64:
OneHotCompute<int64_t>(op_context);
break;
case kTfLiteInt8:
OneHotCompute<int8_t>(op_context);
break;
case kTfLiteUInt8:
OneHotCompute<uint8_t>(op_context);
break;
case kTfLiteBool:
OneHotCompute<bool>(op_context);
break;
Expand Down
20 changes: 20 additions & 0 deletions tensorflow/lite/kernels/one_hot_test.cc
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Expand Up @@ -83,6 +83,26 @@ TEST(OneHotOpTest, BasicInt) {
EXPECT_THAT(model.GetOutput(), ElementsAreArray({1, 0, 0, 0, 1, 0, 0, 0, 1}));
}

TEST(OneHotOpTest, BasicInt8) {
const int depth = 3;
OneHotOpModel<int8_t> model({3}, depth, TensorType_INT8);
model.SetIndices({0, 1, 2});
model.Invoke();

EXPECT_THAT(model.GetOutputShape(), ElementsAreArray({3, 3}));
EXPECT_THAT(model.GetOutput(), ElementsAreArray({1, 0, 0, 0, 1, 0, 0, 0, 1}));
}

TEST(OneHotOpTest, BasicUint8) {
const int depth = 3;
OneHotOpModel<uint8_t> model({3}, depth, TensorType_UINT8);
model.SetIndices({0, 1, 2});
model.Invoke();

EXPECT_THAT(model.GetOutputShape(), ElementsAreArray({3, 3}));
EXPECT_THAT(model.GetOutput(), ElementsAreArray({1, 0, 0, 0, 1, 0, 0, 0, 1}));
}

TEST(OneHotOpTest, BasicBool) {
const int depth = 3;
OneHotOpModel<bool> model({3}, depth, TensorType_BOOL);
Expand Down