/AliOS-Things-master/components/ai_agent/src/engine/tflite-micro/tensorflow/lite/experimental/examples/unity/TensorFlowLitePlugin/Assets/TensorFlowLite/Examples/HelloTFLite/Scripts/ |
A D | HelloTFLite.cs | 32 public float[] inputs; field in HelloTFLite 65 if (inputs == null) { in Update() 69 if (outputs == null || outputs.Length != inputs.Length) { in Update() 70 interpreter.ResizeInputTensor(0, new int[]{inputs.Length}); in Update() 72 outputs = new float[inputs.Length]; in Update() 76 interpreter.SetInputTensorData(0, inputs); in Update() 84 ArrayToString(inputs), in Update()
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/AliOS-Things-master/components/ai_agent/src/engine/tflite-micro/tensorflow/lite/experimental/kernels/ |
A D | ctc_beam_search_decoder.cc | 65 const TfLiteTensor* inputs; in Prepare() local 67 GetInputSafe(context, node, kInputsTensor, &inputs)); in Prepare() 68 TF_LITE_ENSURE_EQ(context, NumDimensions(inputs), 3); in Prepare() 70 TF_LITE_ENSURE_EQ(context, inputs->type, kTfLiteFloat32); in Prepare() 71 const int batch_size = SizeOfDimension(inputs, 1); in Prepare() 178 const TfLiteTensor* inputs; in Eval() local 180 GetInputSafe(context, node, kInputsTensor, &inputs)); in Eval() 187 const int max_time = SizeOfDimension(inputs, 0); in Eval() 188 const int batch_size = SizeOfDimension(inputs, 1); in Eval() 189 const int num_classes = SizeOfDimension(inputs, 2); in Eval() [all …]
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A D | ctc_beam_search_decoder_test.cc | 67 int inputs() { return inputs_; } in inputs() function in tflite::ops::experimental::__anon1f9a7b500111::CTCBeamSearchDecoderOpModel 99 m.PopulateTensor<float>(m.inputs(), in TEST() 126 m.inputs(), in TEST() 158 m.inputs(), in TEST() 197 m.inputs(), in TEST()
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/AliOS-Things-master/components/ai_agent/src/engine/tflite-micro/tensorflow/lite/ |
A D | interpreter.h | 116 TfLiteStatus SetInputs(std::vector<int> inputs); 137 TfLiteStatus AddNodeWithParameters(const std::vector<int>& inputs, 210 const std::vector<int>& inputs() const { return primary_subgraph().inputs(); } in inputs() function 215 return context_->tensors[inputs()[index]].name; in GetInputName() 314 if (sig_def.method_name == method_name) return sig_def.inputs; in signature_inputs() 360 TfLiteTensor* input_tensor(size_t index) { return tensor(inputs()[index]); } in input_tensor() 365 return tensor(inputs()[index]); in input_tensor() 372 return typed_tensor<T>(inputs()[index]); in typed_input_tensor() 379 return typed_tensor<T>(inputs()[index]); in typed_input_tensor() 675 std::map<std::string, uint32_t> inputs; member [all …]
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A D | interpreter_test_util.h | 53 const std::map<std::string, uint32_t>& inputs, in BuildSignature() argument 56 signature.inputs = inputs; in BuildSignature()
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/AliOS-Things-master/components/ai_agent/src/engine/tflite-micro/tensorflow/lite/micro/kernels/ |
A D | concatenation.cc | 58 for (int i = 0; i < node->inputs->size; ++i) { in GetAllInputTensorShapes() 80 for (int i = 0; i < node->inputs->size; ++i) { in GetAllInputTensorData() 93 GetShapesPointers(inputs_shape, node->inputs->size, inputs_shape_ptr); in EvalUnquantized() 113 GetShapesPointers(inputs_shape, node->inputs->size, inputs_shape_ptr); in EvalQuantizedUInt8() 188 data->params.inputs_count = node->inputs->size; in Prepare() 194 data->params.inputs_count = node->inputs->size; in Prepare() 198 context, node->inputs->size * sizeof(float))); in Prepare() 202 context, node->inputs->size * sizeof(int32_t))); in Prepare() 206 for (int i = 0; i < node->inputs->size; ++i) { in Prepare()
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/AliOS-Things-master/components/ai_agent/src/engine/tflite-micro/tensorflow/lite/experimental/mlir/testing/op_tests/ |
A D | batchmatmul.py | 80 def build_inputs(parameters, sess, inputs, outputs): argument 92 outputs, feed_dict=dict(zip(inputs, [input0_value]))) 100 outputs, feed_dict=dict(zip(inputs, [input0_value, input1_value])))
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A D | softplus.py | 45 def build_inputs(parameters, sess, inputs, outputs): argument 53 return values, sess.run(outputs, feed_dict=dict(zip(inputs, values)))
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A D | real.py | 44 def build_inputs(parameters, sess, inputs, outputs): argument 51 outputs, feed_dict=dict(zip(inputs, [input_values])))
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A D | imag.py | 44 def build_inputs(parameters, sess, inputs, outputs): argument 51 outputs, feed_dict=dict(zip(inputs, [input_values])))
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A D | reciprocal.py | 46 def build_inputs(parameters, sess, inputs, outputs): argument 51 outputs, feed_dict=dict(zip(inputs, input_values)))
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A D | rfft.py | 45 def build_inputs(parameters, sess, inputs, outputs): argument 49 outputs, feed_dict=dict(zip(inputs, [input_value])))
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A D | rfft2d.py | 48 def build_inputs(parameters, sess, inputs, outputs): argument 52 outputs, feed_dict=dict(zip(inputs, [input_value])))
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A D | tensor_list_length.py | 49 def build_inputs(parameters, sess, inputs, outputs): argument 53 return [data], sess.run(outputs, feed_dict=dict(zip(inputs, [data])))
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A D | broadcast_to.py | 60 def build_inputs(parameters, sess, inputs, outputs): argument 65 outputs, feed_dict=dict(zip(inputs, input_values)))
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A D | complex_abs.py | 49 def build_inputs(parameters, sess, inputs, outputs): argument 56 outputs, feed_dict=dict(zip(inputs, [input_values])))
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A D | cumsum.py | 49 def build_inputs(parameters, sess, inputs, outputs): argument 51 return [input1], sess.run(outputs, feed_dict=dict(zip(inputs, [input1])))
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A D | segment_sum.py | 49 def build_inputs(parameters, sess, inputs, outputs): argument 52 return [data], sess.run(outputs, feed_dict=dict(zip(inputs, [data])))
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A D | stft.py | 51 def build_inputs(parameters, sess, inputs, outputs): argument 55 outputs, feed_dict=dict(zip(inputs, [input_value])))
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A D | tensor_list_concat.py | 50 def build_inputs(parameters, sess, inputs, outputs): argument 54 return [data], sess.run(outputs, feed_dict=dict(zip(inputs, [data])))
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A D | tensor_list_get_item.py | 51 def build_inputs(parameters, sess, inputs, outputs): argument 55 return [data], sess.run(outputs, feed_dict=dict(zip(inputs, [data])))
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A D | control_dep.py | 47 def build_inputs(parameters, sess, inputs, outputs): argument 50 outputs, feed_dict=dict(zip(inputs, [input_values])))
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A D | tensor_list_resize.py | 53 def build_inputs(parameters, sess, inputs, outputs): argument 57 return [data], sess.run(outputs, feed_dict=dict(zip(inputs, [data])))
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A D | conv3d.py | 59 def build_inputs(parameters, sess, inputs, outputs): argument 72 return values, sess.run(outputs, feed_dict=dict(zip(inputs, values)))
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/AliOS-Things-master/components/ai_agent/src/engine/tflite-micro/tensorflow/lite/micro/ |
A D | micro_interpreter.h | 74 return model_->subgraphs()->Get(0)->inputs()->size(); in inputs_size() 76 const flatbuffers::Vector<int32_t>& inputs() const { in inputs() function 77 return *model_->subgraphs()->Get(0)->inputs(); in inputs()
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