experiments/STT-tensorflow
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Bump supported op versions to execute quantized(uint8/int8) operations.

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PiperOrigin-RevId: 305939339
Change-Id: I582dca256f134a4d7a8ff69147640fcdab923971
This commit is contained in:
Sachin Joglekar 2020-04-10 13:56:19 -07:00 committed by TensorFlower Gardener
parent 6e840b7020
commit b43ff5b8dd
1 changed files with 16 additions and 16 deletions
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32
tensorflow/lite/delegates/gpu/common/model_builder.cc
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@ -846,7 +846,7 @@ class AddOperationParser : public TFLiteOperationParser {
absl::Status IsSupported(const TfLiteContext* context,
const TfLiteNode* tflite_node,
const TfLiteRegistration* registration) final {
RETURN_IF_ERROR(CheckMaxSupportedOpVersion(registration, 1));
RETURN_IF_ERROR(CheckMaxSupportedOpVersion(registration, 2));
if (tflite_node->inputs->size != 2) {
return absl::UnimplementedError("ADD requires two input tensors.");
}
@ -883,7 +883,7 @@ class ConcatenationOperationParser : public TFLiteOperationParser {
absl::Status IsSupported(const TfLiteContext* context,
const TfLiteNode* tflite_node,
const TfLiteRegistration* registration) final {
RETURN_IF_ERROR(CheckMaxSupportedOpVersion(registration, 1));
RETURN_IF_ERROR(CheckMaxSupportedOpVersion(registration, 2));
// TODO(eignasheva): add proper tensor availability checking
// for (uint32_t idx = 0; idx < tflite_node->inputs->size; ++idx) {
@ -1004,7 +1004,7 @@ class Conv2DOperationParser : public TFLiteOperationParser {
absl::Status IsSupported(const TfLiteContext* context,
const TfLiteNode* tflite_node,
const TfLiteRegistration* registration) final {
RETURN_IF_ERROR(CheckMaxSupportedOpVersion(registration, 2));
RETURN_IF_ERROR(CheckMaxSupportedOpVersion(registration, 3));
RETURN_IF_ERROR(CheckInputsOutputs(context, tflite_node,
/*runtime_inputs=*/1, /*outputs=*/1));
RETURN_IF_ERROR(CheckTensorIsAvailable(context, tflite_node, 1));
@ -1088,7 +1088,7 @@ class DepthwiseConvolutionOperationParser : public TFLiteOperationParser {
absl::Status IsSupported(const TfLiteContext* context,
const TfLiteNode* tflite_node,
const TfLiteRegistration* registration) final {
RETURN_IF_ERROR(CheckMaxSupportedOpVersion(registration, 2));
RETURN_IF_ERROR(CheckMaxSupportedOpVersion(registration, 3));
RETURN_IF_ERROR(CheckInputsOutputs(context, tflite_node,
/*runtime_inputs=*/1, /*outputs=*/1));
RETURN_IF_ERROR(CheckTensorIsAvailable(context, tflite_node, 1));
@ -1243,7 +1243,7 @@ class ElementwiseOperationParser : public TFLiteOperationParser {
absl::Status IsSupported(const TfLiteContext* context,
const TfLiteNode* tflite_node,
const TfLiteRegistration* registration) final {
RETURN_IF_ERROR(CheckMaxSupportedOpVersion(registration, 1));
RETURN_IF_ERROR(CheckMaxSupportedOpVersion(registration, 2));
if (IsOneArgumentOperation()) {
RETURN_IF_ERROR(CheckInputsConstsOutputs(context, tflite_node,
/*runtime_inputs=*/1,
@ -1411,7 +1411,7 @@ class FullyConnectedOperationParser : public TFLiteOperationParser {
absl::Status IsSupported(const TfLiteContext* context,
const TfLiteNode* tflite_node,
const TfLiteRegistration* registration) final {
RETURN_IF_ERROR(CheckMaxSupportedOpVersion(registration, 1));
RETURN_IF_ERROR(CheckMaxSupportedOpVersion(registration, 4));
TfLiteFullyConnectedParams* tf_options = nullptr;
RETURN_IF_ERROR(RetrieveBuiltinData(tflite_node, &tf_options));
if (tf_options->weights_format !=
@ -1614,7 +1614,7 @@ class MulOperationParser : public TFLiteOperationParser {
absl::Status IsSupported(const TfLiteContext* context,
const TfLiteNode* tflite_node,
const TfLiteRegistration* registration) final {
RETURN_IF_ERROR(CheckMaxSupportedOpVersion(registration, 1));
RETURN_IF_ERROR(CheckMaxSupportedOpVersion(registration, 3));
if (tflite_node->inputs->size != 2) {
return absl::UnimplementedError("MUL requires two input tensors.");
}
@ -1774,7 +1774,7 @@ class PadOperationParser : public TFLiteOperationParser {
"Only Reflective padding is supported for Mirror Pad operation.");
}
}
RETURN_IF_ERROR(CheckMaxSupportedOpVersion(registration, 1));
RETURN_IF_ERROR(CheckMaxSupportedOpVersion(registration, 2));
RETURN_IF_ERROR(CheckInputsOutputs(context, tflite_node,
/*runtime_inputs=*/1, /*outputs=*/1));
RETURN_IF_ERROR(CheckTensorIsAvailable(context, tflite_node, 1));
@ -1821,7 +1821,7 @@ class Pooling2DOperationParser : public TFLiteOperationParser {
absl::Status IsSupported(const TfLiteContext* context,
const TfLiteNode* tflite_node,
const TfLiteRegistration* registration) final {
RETURN_IF_ERROR(CheckMaxSupportedOpVersion(registration, 1));
RETURN_IF_ERROR(CheckMaxSupportedOpVersion(registration, 2));
TfLitePoolParams* tf_options = nullptr;
auto status = RetrieveCustomInitialData(tflite_node, &tf_options);
if (status.ok()) { // custom case with indices as a second output
@ -1938,7 +1938,7 @@ class ReLUOperationParser : public TFLiteOperationParser {
absl::Status IsSupported(const TfLiteContext* context,
const TfLiteNode* tflite_node,
const TfLiteRegistration* registration) final {
RETURN_IF_ERROR(CheckMaxSupportedOpVersion(registration, 1));
RETURN_IF_ERROR(CheckMaxSupportedOpVersion(registration, 2));
return absl::OkStatus();
}
@ -2111,7 +2111,7 @@ class SliceOperationParser : public TFLiteOperationParser {
absl::Status IsSupported(const TfLiteContext* context,
const TfLiteNode* tflite_node,
const TfLiteRegistration* registration) final {
RETURN_IF_ERROR(CheckMaxSupportedOpVersion(registration, 1));
RETURN_IF_ERROR(CheckMaxSupportedOpVersion(registration, 2));
return absl::OkStatus();
}
@ -2191,7 +2191,7 @@ class SoftmaxOperationParser : public TFLiteOperationParser {
absl::Status IsSupported(const TfLiteContext* context,
const TfLiteNode* tflite_node,
const TfLiteRegistration* registration) final {
RETURN_IF_ERROR(CheckMaxSupportedOpVersion(registration, 1));
RETURN_IF_ERROR(CheckMaxSupportedOpVersion(registration, 2));
RETURN_IF_ERROR(CheckInputsOutputs(context, tflite_node,
/*runtime_inputs=*/1, /*outputs=*/1));
TfLiteSoftmaxParams* tf_options = nullptr;
@ -2235,7 +2235,7 @@ class SpaceToDepthOperationParser : public TFLiteOperationParser {
absl::Status IsSupported(const TfLiteContext* context,
const TfLiteNode* tflite_node,
const TfLiteRegistration* registration) final {
RETURN_IF_ERROR(CheckMaxSupportedOpVersion(registration, 1));
RETURN_IF_ERROR(CheckMaxSupportedOpVersion(registration, 2));
RETURN_IF_ERROR(CheckInputsOutputs(context, tflite_node,
/*runtime_inputs=*/1, /*outputs=*/1));
// TODO(impjdi): Dims check.
@ -2273,7 +2273,7 @@ class StridedSliceOperationParser : public TFLiteOperationParser {
absl::Status IsSupported(const TfLiteContext* context,
const TfLiteNode* tflite_node,
const TfLiteRegistration* registration) final {
RETURN_IF_ERROR(CheckMaxSupportedOpVersion(registration, 1));
RETURN_IF_ERROR(CheckMaxSupportedOpVersion(registration, 2));
TfLiteStridedSliceParams* tf_options = nullptr;
RETURN_IF_ERROR(RetrieveBuiltinData(tflite_node, &tf_options));
RETURN_IF_ERROR(CheckOptionsSupport(tf_options));
@ -2454,7 +2454,7 @@ class TransposeConvOperationParser : public TFLiteOperationParser {
absl::Status IsSupported(const TfLiteContext* context,
const TfLiteNode* tflite_node,
const TfLiteRegistration* registration) final {
RETURN_IF_ERROR(CheckMaxSupportedOpVersion(registration, 1));
RETURN_IF_ERROR(CheckMaxSupportedOpVersion(registration, 2));
RETURN_IF_ERROR(CheckTensorIsAvailable(context, tflite_node, 1));
TfLiteTransposeConvParams* tf_options = nullptr;
RETURN_IF_ERROR(RetrieveBuiltinData(tflite_node, &tf_options));
@ -2501,7 +2501,7 @@ class TransposeOperationParser : public TFLiteOperationParser {
absl::Status IsSupported(const TfLiteContext* context,
const TfLiteNode* tflite_node,
const TfLiteRegistration* registration) final {
RETURN_IF_ERROR(CheckMaxSupportedOpVersion(registration, 1));
RETURN_IF_ERROR(CheckMaxSupportedOpVersion(registration, 2));
RETURN_IF_ERROR(CheckInputsOutputs(context, tflite_node,
/*runtime_inputs=*/1, /*outputs=*/1));
return absl::OkStatus();