| /external/tensorflow/tensorflow/lite/kernels/internal/reference/integer_ops/ |
| mul.h | 25 const int8_t* input1_data, const int8_t* input2_data,
28 const int32 input1_val = params.input1_offset + input1_data[i];
43 const RuntimeShape& input1_shape, const int8_t* input1_data,
52 MulElementwise(flat_size, params, input1_data, input2_data, output_data);
57 const RuntimeShape& input1_shape, const int16* input1_data,
74 F0::FromRaw(input1_data[i]) * F0::FromRaw(input2_data[i]);
87 const int8_t* input1_data,
108 input1_data[SubscriptToIndex(desc1, b, y, x, c)];
|
| add.h | 29 const int8_t* input1_data, const int8_t* input2_data,
38 const int32 input1_val = params.input1_offset + input1_data[i];
61 const RuntimeShape& input1_shape, const int8_t* input1_data,
74 AddElementwise(flat_size, params, input1_data, input2_data, output_data);
79 const int8_t* input1_data,
109 input1_data[SubscriptToIndex(desc1, b, y, x, c)];
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| /external/tensorflow/tensorflow/lite/kernels/internal/reference/ |
| legacy_reference_ops.h | 572 void BroadcastDiv(const T* input1_data, const Dims<4>& input1_dims,
579 BroadcastDiv4DSlow(op_params, DimsToShape(input1_dims), input1_data,
585 inline void Div(const T* input1_data, const Dims<4>& input1_dims,
592 Div(op_params, DimsToShape(input1_dims), input1_data,
2011 Minimum(DimsToShape(input1_dims), input1_data, input2_data, local
2019 Maximum(DimsToShape(input1_dims), input1_data, input2_data, local
2028 MaximumMinimumBroadcast4DSlow(DimsToShape(input1_dims), input1_data, local
2061 Pow(DimsToShape(input1_dims), input1_data, DimsToShape(input2_dims), local
2069 BroadcastPow4DSlow(DimsToShape(input1_dims), input1_data, local
2078 Logical(DimsToShape(input1_dims), input1_data, DimsToShape(input2_dims), local
2088 BroadcastLogical4DSlow(DimsToShape(input1_dims), input1_data, local
2101 BroadcastBinaryFunction(DimsToShape(input1_dims), input1_data, local
2112 BinaryFunction(DimsToShape(input1_dims), input1_data, local
[all...] |
| reference_ops.h | 526 const RuntimeShape& input1_shape, const T* input1_data,
533 input1_data[i] + input2_data[i], params.quantized_activation_min,
539 const RuntimeShape& input1_shape, const float* input1_data,
544 auto x = input1_data[i] + input2_data[i];
569 const uint8* input1_data, const uint8* input2_data,
577 const int32 input1_val = params.input1_offset + input1_data[i];
603 uint8 input1_data, const uint8* input2_data,
610 const int32 input1_val = params.input1_offset + input1_data;
634 const RuntimeShape& input1_shape, const uint8* input1_data,
646 AddElementwise(flat_size, params, input1_data, input2_data, output_data)
[all...] |
| /external/tensorflow/tensorflow/lite/kernels/internal/optimized/ |
| legacy_optimized_ops.h | 1858 Minimum(DimsToShape(input1_dims), input1_data, input2_data, local
1866 Maximum(DimsToShape(input1_dims), input1_data, input2_data, local
[all...] |
| optimized_ops.h | 2973 const uint8* input1_data = local
3367 const uint8* input1_data = local
[all...] |
| /external/tensorflow/tensorflow/contrib/lite/kernels/internal/optimized/ |
| optimized_ops.h | 3086 const uint8* input1_data = local
3443 const uint8* input1_data = local
[all...] |
| /external/tensorflow/tensorflow/lite/toco/graph_transformations/ |
| resolve_constant_binary.cc | 86 const auto& input1_data = input1_array.GetBuffer<InputsDataType>().data; local
133 const auto val1 = input1_data[Offset(input1_shape, input1_indices)];
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