OpenGrok
Home
Sort by relevance
Sort by last modified time
Full Search
Definition
Symbol
File Path
History
|
|
Help
Searched
refs:TensorData
(Results
1 - 16
of
16
) sorted by null
/external/tensorflow/tensorflow/contrib/lite/kernels/
mean_test.cc
51
MeanOpConstModel(const
TensorData
& input, const
TensorData
& output,
66
MeanOpDynamicModel(const
TensorData
& input, const
TensorData
& output,
67
const
TensorData
& axis, bool keep_dims) {
depthwise_conv_test.cc
31
BaseDepthwiseConvolutionOpModel(const
TensorData
& input,
32
const
TensorData
& filter,
33
const
TensorData
& output) {
45
TensorData
bias{TensorType_INT32, {bias_size}, 0, 0, bias_scale};
test_util.h
79
struct
TensorData
{
115
int AddInput(TensorType type) { return AddInput(
TensorData
{type}); }
116
int AddInput(const
TensorData
& t);
126
int AddOutput(TensorType type) { return AddOutput(
TensorData
{type}); }
127
int AddOutput(const
TensorData
& t);
210
int AddTensor(
TensorData
t, std::initializer_list<int> data);
212
std::map<int,
TensorData
> tensor_data_;
squeeze_test.cc
29
BaseSqueezeOpModel(const
TensorData
& input, const
TensorData
& output,
mul_test.cc
28
BaseMulOpModel(const
TensorData
& input1, const
TensorData
& input2,
29
const
TensorData
& output,
pooling_test.cc
31
BasePoolingOpModel(BuiltinOperator type, const
TensorData
& input,
33
const
TensorData
& output) {
conv_test.cc
46
TfLiteRegistration* registration, const
TensorData
& input,
47
const
TensorData
& filter, const
TensorData
& output, int stride_width = 2,
61
TensorData
bias{TensorType_INT32, {bias_size}, 0, 0, bias_scale};
exp_test.cc
28
ExpOpModel(const
TensorData
& input, const TensorType& output) {
test_util.cc
52
int SingleOpModel::AddTensor(
TensorData
t, std::initializer_list<int> data) {
105
int SingleOpModel::AddInput(const
TensorData
& t) {
114
int id = AddTensor(
TensorData
{type, shape}, data);
125
int SingleOpModel::AddOutput(const
TensorData
& t) {
space_to_depth_test.cc
29
SpaceToDepthOpModel(const
TensorData
& tensor_data, int block_size) {
add_test.cc
28
BaseAddOpModel(const
TensorData
& input1, const
TensorData
& input2,
29
const
TensorData
& output,
fully_connected_test.cc
122
BaseFullyConnectedOpModel(int units, int batches, const
TensorData
& input,
123
const
TensorData
& output = {TensorType_FLOAT32})
142
TensorData
bias{TensorType_INT32, {units_}, 0, 0, bias_scale};
resize_bilinear_test.cc
28
ResizeBilinearOpModel(const
TensorData
& input,
split_test.cc
30
SplitOpModel(const
TensorData
& input, int num_splits,
activations_test.cc
31
BaseActivationsOpModel(BuiltinOperator type,
TensorData
input) {
43
BaseActivationsOpModel(float softmax_beta,
TensorData
input) {
concatenation_test.cc
31
BaseConcatenationOpModel(const
TensorData
& input_template, int axis,
Completed in 332 milliseconds