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Add Int32 and Int64 value support to SplitV. #28376

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merged 1 commit into from Jun 27, 2019
Merged

Add Int32 and Int64 value support to SplitV. #28376

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12 changes: 11 additions & 1 deletion tensorflow/lite/kernels/split_v.cc
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Expand Up @@ -126,7 +126,9 @@ TfLiteStatus Prepare(TfLiteContext* context, TfLiteNode* node) {
auto input_type = op_context.input->type;
TF_LITE_ENSURE(context, input_type == kTfLiteFloat32 ||
input_type == kTfLiteUInt8 ||
input_type == kTfLiteInt16);
input_type == kTfLiteInt16 ||
input_type == kTfLiteInt32 ||
input_type == kTfLiteInt64);
for (int i = 0; i < NumOutputs(node); ++i) {
GetOutput(context, node, i)->type = input_type;
}
Expand Down Expand Up @@ -182,6 +184,14 @@ TfLiteStatus Eval(TfLiteContext* context, TfLiteNode* node) {
TF_LITE_SPLIT_V(int16_t);
break;
}
case kTfLiteInt32: {
TF_LITE_SPLIT_V(int32_t);
break;
}
case kTfLiteInt64: {
TF_LITE_SPLIT_V(int64_t);
break;
}
default:
context->ReportError(context, "Type %s currently not supported.",
TfLiteTypeGetName(op_context.input->type));
Expand Down
28 changes: 28 additions & 0 deletions tensorflow/lite/kernels/split_v_test.cc
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Expand Up @@ -200,6 +200,34 @@ TEST(SplitVOpTest, TwoDimensionalInt16) {
{{1, 2, 3}, {4, 5, 6}, {7, 8, 9, 10, 11, 12}});
}

TEST(SplitVOpTest, TwoDimensionalInt32) {
// Input shape: {4, 3}
// size_splits: {1, 1, 2}
// axis: 0
// We should have 3 outpus with shapes respectively:
// output 1 : {1, 3}
// output 2 : {1, 3}
// output 3 : {2, 3}
Check<int32_t, TensorType_INT32>(
/*axis=*/0, {4, 3}, {3}, {{1, 3}, {1, 3}, {2, 3}},
{1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}, {1, 1, 2},
{{1, 2, 3}, {4, 5, 6}, {7, 8, 9, 10, 11, 12}});
}

TEST(SplitVOpTest, TwoDimensionalInt64) {
// Input shape: {4, 3}
// size_splits: {1, 1, 2}
// axis: 0
// We should have 3 outpus with shapes respectively:
// output 1 : {1, 3}
// output 2 : {1, 3}
// output 3 : {2, 3}
Check<int64_t, TensorType_INT64>(
/*axis=*/0, {4, 3}, {3}, {{1, 3}, {1, 3}, {2, 3}},
{1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12}, {1, 1, 2},
{{1, 2, 3}, {4, 5, 6}, {7, 8, 9, 10, 11, 12}});
}

} // namespace
} // namespace tflite

Expand Down