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Rolling v10.6.1

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jomjol
2022-07-24 18:53:25 +02:00
parent 189093d548
commit 0e7c600cf7
209 changed files with 1791 additions and 12917 deletions
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6
code/components/tflite-lib/tensorflow/lite/kernels/internal/reference/hard_swish.h
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@@ -23,9 +23,9 @@ namespace tflite {
namespace reference_ops {
inline int16_t SaturatingLeftShift(int16_t value, int amount) {
int64_t result = static_cast<int64_t>(value) * (1 << amount);
result = std::min<int64_t>(result, std::numeric_limits<int16_t>::max());
result = std::max<int64_t>(result, std::numeric_limits<int16_t>::min());
int32_t result = static_cast<int32_t>(value) * (1 << amount);
result = std::min<int32_t>(result, std::numeric_limits<int16_t>::max());
result = std::max<int32_t>(result, std::numeric_limits<int16_t>::min());
return result;
}

9
code/components/tflite-lib/tensorflow/lite/kernels/internal/runtime_shape.h
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@@ -27,11 +27,6 @@ class RuntimeShape {
public:
RuntimeShape& operator=(RuntimeShape const&) = delete;
// RuntimeShape in TFLM supports up to 5 dimensions.
// The name kMaxSmallSize comes from the same file of the upstream
// tensorflow lite repo and need to be kept the same for max reuse.
static constexpr int kMaxSmallSize = 5;
RuntimeShape() : size_(0) {}
explicit RuntimeShape(int dimensions_count) : size_(dimensions_count) {}
@@ -109,9 +104,11 @@ class RuntimeShape {
sizeof(int32_t) * shape.DimensionsCount());
}
// A maximum of 4 dimensions are supported on TFLM.
static constexpr int kMaxSize = 5;
int32_t size_;
union {
int32_t dims_[kMaxSmallSize];
int32_t dims_[kMaxSize];
};
};

10
code/components/tflite-lib/tensorflow/lite/kernels/internal/types.h
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@@ -974,11 +974,11 @@ struct StridedSliceParams {
int8_t strides_count;
int32_t strides[5];
uint16_t begin_mask;
uint16_t ellipsis_mask;
uint16_t end_mask;
uint16_t new_axis_mask;
uint16_t shrink_axis_mask;
int16_t begin_mask;
int16_t ellipsis_mask;
int16_t end_mask;
int16_t new_axis_mask;
int16_t shrink_axis_mask;
};
struct TanhParams {

2
code/components/tflite-lib/tensorflow/lite/kernels/kernel_util.h
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@@ -308,7 +308,7 @@ TfLiteStatus CalculateShapeForBroadcast(TfLiteContext* context,
const TfLiteTensor* input3,
TfLiteIntArray** output_shape);
// Return the size of given type in bytes. Return 0 in case of string.
// Return the size of given type in bytes. Return 0 in in case of string.
int TfLiteTypeGetSize(TfLiteType type);
// Whether the current platform is mobile (Android or iOS).