experiments/STT-tensorflow
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Extract a function for parsing operator LEAKY_RELU

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Extract the parsing out of a switch statement case to create a
standalone function which can be called by the micro op resolver.

PR step 1 for issue #46161
This commit is contained in:
ddavis-2015 2021-01-03 19:00:46 -08:00
parent ca7c72bbbd
commit 9087aeff6b
2 changed files with 24 additions and 10 deletions
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30
tensorflow/lite/core/api/flatbuffer_conversions.cc
View File

@ -245,6 +245,10 @@ TfLiteStatus ParseOpDataTfLite(const Operator* op, BuiltinOperator op_type,
return ParsePool(op, error_reporter, allocator, builtin_data); return ParsePool(op, error_reporter, allocator, builtin_data);
} }
case BuiltinOperator_LEAKY_RELU: {
return ParseLeakyRelu(op, error_reporter, allocator, builtin_data);
}
case BuiltinOperator_LESS: { case BuiltinOperator_LESS: {
return ParseLess(op, error_reporter, allocator, builtin_data); return ParseLess(op, error_reporter, allocator, builtin_data);
} }
@ -674,16 +678,6 @@ TfLiteStatus ParseOpDataTfLite(const Operator* op, BuiltinOperator op_type,
*builtin_data = params.release(); *builtin_data = params.release();
return kTfLiteOk; return kTfLiteOk;
} }
case BuiltinOperator_LEAKY_RELU: {
auto params = safe_allocator.Allocate<TfLiteLeakyReluParams>();
TF_LITE_ENSURE(error_reporter, params != nullptr);
if (const auto* leaky_relu_params =
op->builtin_options_as_LeakyReluOptions()) {
params->alpha = leaky_relu_params->alpha();
}
*builtin_data = params.release();
return kTfLiteOk;
}
case BuiltinOperator_MIRROR_PAD: { case BuiltinOperator_MIRROR_PAD: {
auto params = safe_allocator.Allocate<TfLiteMirrorPaddingParams>(); auto params = safe_allocator.Allocate<TfLiteMirrorPaddingParams>();
TF_LITE_ENSURE(error_reporter, params != nullptr); TF_LITE_ENSURE(error_reporter, params != nullptr);
@ -1247,6 +1241,22 @@ TfLiteStatus ParseL2Normalization(const Operator* op,
return kTfLiteOk; return kTfLiteOk;
} }
TfLiteStatus ParseLeakyRelu(const Operator* op, ErrorReporter* error_reporter,
BuiltinDataAllocator* allocator,
void** builtin_data) {
CheckParsePointerParams(op, error_reporter, allocator, builtin_data);
SafeBuiltinDataAllocator safe_allocator(allocator);
auto params = safe_allocator.Allocate<TfLiteLeakyReluParams>();
TF_LITE_ENSURE(error_reporter, params != nullptr);
if (const auto* leaky_relu_params =
op->builtin_options_as_LeakyReluOptions()) {
params->alpha = leaky_relu_params->alpha();
}
*builtin_data = params.release();
return kTfLiteOk;
}
// We have this parse function instead of directly returning kTfLiteOk from the // We have this parse function instead of directly returning kTfLiteOk from the
// switch-case in ParseOpData because this function is used as part of the // switch-case in ParseOpData because this function is used as part of the
// selective registration for the OpResolver implementation in micro. // selective registration for the OpResolver implementation in micro.

4
tensorflow/lite/core/api/flatbuffer_conversions.h
View File

@ -148,6 +148,10 @@ TfLiteStatus ParseL2Normalization(const Operator* op,
BuiltinDataAllocator* allocator, BuiltinDataAllocator* allocator,
void** builtin_data); void** builtin_data);
TfLiteStatus ParseLeakyRelu(const Operator* op, ErrorReporter* error_reporter,
BuiltinDataAllocator* allocator,
void** builtin_data);
TfLiteStatus ParseLess(const Operator* op, ErrorReporter* error_reporter, TfLiteStatus ParseLess(const Operator* op, ErrorReporter* error_reporter,
BuiltinDataAllocator* allocator, void** builtin_data); BuiltinDataAllocator* allocator, void** builtin_data);