/external/tensorflow/tensorflow/lite/kernels/ |
D | add_test.cc | 193 template <TensorType tensor_type, typename integer_dtype> 203 QuantizedAddOpModel m({tensor_type, {1, 2, 2, 1}, -1.0, 1.0}, in QuantizedTestsNoActivation() 204 {tensor_type, {1, 2, 2, 1}, -1.0, 1.0}, in QuantizedTestsNoActivation() 205 {tensor_type, {}, -1.0, 1.0}, in QuantizedTestsNoActivation() 250 template <enum TensorType tensor_type, typename integer_dtype> 260 QuantizedAddOpModel m({tensor_type, {1, 2, 2, 1}, -1.0, 1.0}, in QuantizedTestsActivationRELU_N1_TO_1() 261 {tensor_type, {1, 2, 2, 1}, -1.0, 1.0}, in QuantizedTestsActivationRELU_N1_TO_1() 262 {tensor_type, {}, -1.0, 1.0}, in QuantizedTestsActivationRELU_N1_TO_1() 282 template <enum TensorType tensor_type, typename integer_dtype> 288 QuantizedAddOpModel m({tensor_type, test_shapes[i], -3.0, 3.0}, in QuantizedVariousInputShapes() [all …]
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D | sub_test.cc | 196 template <TensorType tensor_type, typename integer_dtype> 207 QuantizedSubOpModel m({tensor_type, {1, 2, 2, 1}, -1.0, 1.0}, in QuantizedTestsNoActivation() 208 {tensor_type, {1, 2, 2, 1}, -1.0, 1.0}, in QuantizedTestsNoActivation() 209 {tensor_type, {}, -1.0, 1.0}, in QuantizedTestsNoActivation() 229 template <TensorType tensor_type, typename integer_dtype> 239 QuantizedSubOpModel m({tensor_type, {1, 2, 2, 1}, -1.0, 1.0}, in QuantizedTestsActivationRELU_N1_TO_1() 240 {tensor_type, {1, 2, 2, 1}, -1.0, 1.0}, in QuantizedTestsActivationRELU_N1_TO_1() 241 {tensor_type, {}, -1.0, 1.0}, in QuantizedTestsActivationRELU_N1_TO_1() 260 template <TensorType tensor_type, typename integer_dtype> 266 QuantizedSubOpModel m({tensor_type, test_shapes[i], -3.0, 3.0}, in QuantizedVariousInputShapes() [all …]
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D | mul_test.cc | 195 template <TensorType tensor_type, typename integer_dtype> 197 QuantizedMulOpModel m({tensor_type, {1, 2, 2, 1}, -1.0, 1.0}, in NoActivation() 198 {tensor_type, {1, 2, 2, 1}, -1.0, 1.0}, in NoActivation() 199 {tensor_type, {}, -1.0, 1.0}, in NoActivation() 232 template <TensorType tensor_type, typename integer_dtype> 240 {tensor_type, {}, kMinUint8, kMaxUint8}, in NoActivationInt16With8BitOutput() 265 template <TensorType tensor_type, typename integer_dtype> 271 QuantizedMulOpModel m({tensor_type, test_shapes[i], -3.0, 3.0}, in WithBroadcast() 272 {tensor_type, {}, -3.0, 3.0}, // always a scalar in WithBroadcast() 273 {tensor_type, {}, -3.0, 3.0}, in WithBroadcast()
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D | l2norm_test.cc | 29 const TensorType tensor_type, in L2NormOpModel() argument 31 TensorData data = TensorData{tensor_type}; in L2NormOpModel() 32 if (tensor_type != TensorType_FLOAT32) { in L2NormOpModel() 39 if (tensor_type != TensorType_FLOAT32) { in L2NormOpModel()
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D | svdf_test.cc | 206 int rank, TensorType tensor_type) in HybridSVDFOpModel() argument 208 tensor_type, tensor_type) { in HybridSVDFOpModel() 209 tensor_type_ = tensor_type; in HybridSVDFOpModel()
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D | basic_rnn_test.cc | 236 HybridRNNOpModel(int batches, int units, int size, TensorType tensor_type) in HybridRNNOpModel() argument 237 : RNNOpModel(batches, units, size, tensor_type, tensor_type) { in HybridRNNOpModel() 238 tensor_type_ = tensor_type; in HybridRNNOpModel()
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D | unidirectional_sequence_rnn_test.cc | 252 TensorType tensor_type) in HybridUnidirectionalRNNOpModel() argument 254 tensor_type, tensor_type) { in HybridUnidirectionalRNNOpModel() 255 tensor_type_ = tensor_type; in HybridUnidirectionalRNNOpModel()
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D | lstm_test.cc | 276 TensorType tensor_type) in HybridLSTMOpModel() argument 279 proj_clip, input_shapes, tensor_type) { in HybridLSTMOpModel() 280 tensor_type_ = tensor_type; in HybridLSTMOpModel() 1653 TensorType tensor_type) in HybridLayerNormLSTMOpModel() argument 1657 input_shapes, tensor_type) { in HybridLayerNormLSTMOpModel() 1658 tensor_type_ = tensor_type; in HybridLayerNormLSTMOpModel()
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D | unidirectional_sequence_lstm_test.cc | 247 TensorType tensor_type) in HybridUnidirectionalLSTMOpModel() argument 251 cell_clip, proj_clip, input_shapes, tensor_type) { in HybridUnidirectionalLSTMOpModel() 252 tensor_type_ = tensor_type; in HybridUnidirectionalLSTMOpModel()
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/external/tensorflow/tensorflow/lite/python/ |
D | interpreter.py | 130 tensor_type = self._interpreter.TensorType(tensor_index) 133 if not tensor_name or not tensor_type: 140 'dtype': tensor_type,
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/external/tensorflow/tensorflow/core/kernels/ |
D | load_and_remap_matrix_op.cc | 137 DataType tensor_type; in Compute() local 140 old_tensor_name, &tensor_type, &tensor_shape)); in Compute() 141 OP_REQUIRES(context, tensor_type == DT_FLOAT, in Compute() 144 DataTypeString(tensor_type), " instead of expected type ", in Compute()
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/external/tensorflow/tensorflow/python/client/ |
D | session.py | 140 tensor_type, argument 186 if issubclass(conversion_function[0], tensor_type): 188 tensor_type) 190 _REGISTERED_EXPANSIONS.insert(0, (tensor_type, fetch_function, feed_function, 268 for tensor_type, fetch_fn, _, _ in _REGISTERED_EXPANSIONS: 269 if isinstance(fetch, tensor_type): 1011 for tensor_type, _, _, feed_fn in _REGISTERED_EXPANSIONS: 1012 if isinstance(feed, tensor_type): 1068 for tensor_type, _, feed_fn, _ in _REGISTERED_EXPANSIONS: 1069 if isinstance(feed, tensor_type):
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/external/tensorflow/tensorflow/python/kernel_tests/ |
D | array_ops_test.py | 497 def __init__(self, test, x, tensor_type=dtypes.int32, check_type_infer=True): argument 498 self.x_np = np.array(x).astype(tensor_type.as_numpy_dtype) 499 if tensor_type.is_bool: 502 if tensor_type.is_complex: 505 self.x = constant_op.constant(self.x_np, dtype=tensor_type) 560 for tensor_type in STRIDED_SLICE_TYPES: 563 self, StridedSliceChecker.REF_TENSOR, tensor_type=tensor_type) 581 checker2 = StridedSliceChecker(self, 5, tensor_type=tensor_type) 1029 def __init__(self, test, x, tensor_type=dtypes.float32, use_resource=False): argument 1030 self.tensor_type = tensor_type [all …]
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/external/tensorflow/tensorflow/lite/toco/tflite/ |
D | types.cc | 112 ArrayDataType DataType::Deserialize(int tensor_type) { in Deserialize() argument 113 switch (::tflite::TensorType(tensor_type)) { in Deserialize() 131 LOG(FATAL) << "Unhandled tensor type '" << tensor_type << "'."; in Deserialize()
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D | types.h | 27 static ArrayDataType Deserialize(int tensor_type);
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/external/tensorflow/tensorflow/lite/core/api/ |
D | flatbuffer_conversions.cc | 56 TfLiteStatus ConvertTensorType(TensorType tensor_type, TfLiteType* type, in ConvertTensorType() argument 58 switch (tensor_type) { in ConvertTensorType() 88 EnumNameTensorType(tensor_type), tensor_type); in ConvertTensorType()
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D | flatbuffer_conversions.h | 63 TfLiteStatus ConvertTensorType(TensorType tensor_type, TfLiteType* type,
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/external/tensorflow/tensorflow/python/ops/ |
D | io_ops.py | 75 def _restore_slice(file_pattern, tensor_name, shape_and_slice, tensor_type, argument 93 base_type = dtypes.as_dtype(tensor_type).base_dtype
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/external/tensorflow/tensorflow/core/distributed_runtime/ |
D | cluster_function_library_runtime_test.cc | 149 key: "tensor_type" in TEST_F() 190 key: "tensor_type" in TEST_F()
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/external/tensorflow/tensorflow/contrib/bigtable/python/ops/ |
D | bigtable_api.py | 478 for tensor_type in nest.flatten( 480 if tensor_type != dtypes.string:
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/external/tensorflow/tensorflow/python/util/ |
D | util.cc | 279 PyObject* tensor_type = GetRegisteredType("Tensor"); in IsTensorHelper() local 280 if (TF_PREDICT_FALSE(tensor_type == nullptr)) { in IsTensorHelper() 289 return PyObject_IsInstance(to_check, tensor_type); in IsTensorHelper()
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/external/tensorflow/tensorflow/compiler/tf2tensorrt/kernels/ |
D | trt_engine_op.cc | 149 auto tensor_type = tensor_ptr->dtype(); in GetTensorAddress() local 150 switch (tensor_type) { in GetTensorAddress() 155 LOG(ERROR) << "Unsupported Data type " << DataTypeString(tensor_type); in GetTensorAddress()
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/external/tensorflow/tensorflow/contrib/mpi_collectives/ |
D | mpi_message.proto | 37 DataType tensor_type = 3; field
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/external/tensorflow/tensorflow/lite/delegates/nnapi/ |
D | nnapi_delegate.cc | 419 TfLiteType tensor_type = tensor->type; in AddTensor() local 420 if (hybrid_op && (tensor_type == kTfLiteUInt8)) { in AddTensor() 423 tensor_type = kTfLiteInt8; in AddTensor() 425 switch (tensor_type) { in AddTensor()
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/external/tensorflow/tensorflow/python/framework/ |
D | ops.py | 177 def register_dense_tensor_like_type(tensor_type): argument 190 if not isinstance(tensor_type.name, property): 192 tensor_type.__name__) 195 tensor_type.__name__) 197 if not isinstance(tensor_type.dtype, property): 199 tensor_type.__name__) 202 tensor_type.__name__) 207 _TENSOR_LIKE_TYPES = tuple(list(_TENSOR_LIKE_TYPES) + [tensor_type])
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