/external/tensorflow/tensorflow/lite/toco/graph_transformations/ |
D | resolve_constant_concatenation.cc | 36 void CopyTensorSegments(const std::vector<Array*>& input_arrays, in CopyTensorSegments() argument 40 for (Array* input_array : input_arrays) { in CopyTensorSegments() 52 CHECK(!input_arrays.empty()); in CopyTensorSegments() 55 input_arrays[0]->GetBuffer<A>().data.size() / array_copy_size[0]; in CopyTensorSegments() 59 src_ptr.reserve(input_arrays.size()); in CopyTensorSegments() 60 for (Array* input_array : input_arrays) { in CopyTensorSegments() 67 for (size_t i = 0; i < input_arrays.size(); i++) { in CopyTensorSegments() 79 void ConcatenateTensorBuffers(const std::vector<Array*>& input_arrays, in ConcatenateTensorBuffers() argument 88 std::vector<int> array_copy_size(input_arrays.size()); in ConcatenateTensorBuffers() 90 for (Array* input_array : input_arrays) { in ConcatenateTensorBuffers() [all …]
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/external/tensorflow/tensorflow/lite/python/ |
D | convert_saved_model_test.py | 84 input_arrays=None, argument 96 input_arrays=input_arrays, 144 self._convertSavedModel(saved_model_dir, input_arrays=["invalid-input"]) 151 saved_model_dir, input_arrays=["Placeholder", "invalid-input"]) 160 input_arrays=["Placeholder"], 172 input_arrays=["Placeholder"], 184 saved_model_dir=saved_model_dir, input_arrays=["inputB", "inputA"]) 198 input_arrays=["inputA"], 207 saved_model_dir=saved_model_dir, input_arrays=["inputA"])
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D | tflite_convert.py | 123 input_arrays = _parse_array(flags.input_arrays) 130 input_shapes = dict(list(zip(input_arrays, input_shapes_list))) 134 "input_arrays": input_arrays, 184 input_arrays = converter.get_input_arrays() 194 if ((not flags.input_arrays and len(input_arrays) > 1) or 195 (len(input_arrays) != len(quant_stats))): 202 "values.".format(",".join(input_arrays))) 203 converter.quantized_input_stats = dict(list(zip(input_arrays, quant_stats))) 334 if flags.graph_def_file and (not flags.input_arrays or 340 if not flags.input_arrays: [all …]
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D | lite.py | 1890 input_arrays=None, argument 1916 if input_arrays or output_arrays: 1943 if input_arrays: 1944 input_tensors = _get_tensors_from_tensor_names(sess.graph, input_arrays) 2261 input_arrays, argument 2328 sess.graph, input_arrays) 2337 if set(input_arrays) != set(input_shapes.keys()): 2342 (name, input_shapes[name]) for name in input_arrays 2354 input_arrays=None, argument 2390 result = _freeze_saved_model(saved_model_dir, input_arrays, input_shapes, [all …]
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D | convert_saved_model.py | 159 def freeze_saved_model(saved_model_dir, input_arrays, input_shapes, argument 206 in_tensors = _get_tensors(graph, inputs, input_arrays)
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/external/tensorflow/tensorflow/lite/testing/ |
D | toco_convert.py | 32 input_arrays, argument 58 " --input_arrays=%s" % ",".join(input_arrays) + 101 input_arrays = [x[0] for x in input_tensors] 113 graphdef_file.name, input_arrays, output_tensors, input_shapes) 169 input_arrays=input_arrays,
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/external/tensorflow/tensorflow/compiler/mlir/tensorflow/translate/ |
D | tf_mlir_translate.cc | 46 const std::vector<std::string>& input_arrays, in GraphdefToMlirImport() argument 69 TF_RETURN_IF_ERROR(ParseInputArrayInfo(input_arrays, input_dtypes, in GraphdefToMlirImport() 104 const std::vector<std::string>& input_arrays, in GraphdefToMlirTranslateFunction() argument 113 input, debug_info_file, input_arrays, input_dtypes, input_shapes, in GraphdefToMlirTranslateFunction() 125 absl::string_view input_arrays, absl::string_view input_dtypes, in GraphdefToMlirTranslateFunction() argument 135 TF_RETURN_IF_ERROR(ParseNodeNames(input_arrays, input_array_vector)); in GraphdefToMlirTranslateFunction() 234 const std::vector<std::string>& input_arrays, in GraphdefToSplattedMlirTranslateFunction() argument 243 input, debug_info_file, input_arrays, input_dtypes, input_shapes, in GraphdefToSplattedMlirTranslateFunction() 285 absl::string_view input_arrays, absl::string_view input_dtypes, in GraphdefToSplattedMlirTranslateFunction() argument 295 TF_RETURN_IF_ERROR(ParseNodeNames(input_arrays, input_array_vector)); in GraphdefToSplattedMlirTranslateFunction()
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D | tf_mlir_translate.h | 43 const std::vector<std::string>& input_arrays, 60 absl::string_view input_arrays, absl::string_view input_dtypes, 71 const std::vector<std::string>& input_arrays, 87 absl::string_view input_arrays, absl::string_view input_dtypes,
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D | tf_mlir_translate_registration.cc | 47 input, debug_info_file, input_arrays, input_dtypes, input_shapes, in GraphdefToMlirTranslateFunction() 61 input, debug_info_file, input_arrays, input_dtypes, input_shapes, in GraphdefToSplattedMlirTranslateFunction()
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D | tf_mlir_translate_cl.h | 30 extern llvm::cl::opt<std::string> input_arrays;
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D | tf_mlir_translate_cl.cc | 26 opt<std::string> input_arrays( variable
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/external/tensorflow/tensorflow/tools/api/golden/v1/ |
D | tensorflow.lite.-toco-converter.pbtxt | 10 …argspec: "args=[\'cls\', \'graph_def_file\', \'input_arrays\', \'output_arrays\', \'input_shapes\'… 14 …argspec: "args=[\'cls\', \'model_file\', \'input_arrays\', \'input_shapes\', \'output_arrays\'], v… 18 …argspec: "args=[\'cls\', \'saved_model_dir\', \'input_arrays\', \'input_shapes\', \'output_arrays\…
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D | tensorflow.lite.-t-f-lite-converter.pbtxt | 18 …argspec: "args=[\'cls\', \'graph_def_file\', \'input_arrays\', \'output_arrays\', \'input_shapes\'… 22 …argspec: "args=[\'cls\', \'model_file\', \'input_arrays\', \'input_shapes\', \'output_arrays\', \'… 26 …argspec: "args=[\'cls\', \'saved_model_dir\', \'input_arrays\', \'input_shapes\', \'output_arrays\…
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/external/tensorflow/tensorflow/compiler/mlir/lite/python/ |
D | saved_model_to_tfl_flatbuffer.cc | 74 function_input_names.reserve(model_flags.input_arrays().size()); in HandleInputOutputArraysWithModule() 82 if (function_input_names_size != model_flags.input_arrays().size()) { in HandleInputOutputArraysWithModule() 85 ", expected: ", model_flags.input_arrays().size()); in HandleInputOutputArraysWithModule() 90 for (const auto& input_array : model_flags.input_arrays()) { in HandleInputOutputArraysWithModule() 172 if (!model_flags.input_arrays().empty() || in ConvertSavedModelToTFLiteFlatBuffer()
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/external/tensorflow/tensorflow/lite/toco/logging/ |
D | conversion_log_util_test.cc | 143 InputArray input_arrays[3]; in TEST() local 144 input_arrays[0].set_name(input1); in TEST() 145 input_arrays[1].set_name(input2); in TEST() 146 input_arrays[2].set_name(input3); in TEST() 147 *model.flags.add_input_arrays() = input_arrays[0]; in TEST() 148 *model.flags.add_input_arrays() = input_arrays[1]; in TEST() 149 *model.flags.add_input_arrays() = input_arrays[2]; in TEST()
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/external/tensorflow/tensorflow/lite/python/testdata/ |
D | BUILD | 26 "--input_arrays=input", 36 "--input_arrays=input", 51 "--input_arrays=input,indices", 61 "--input_arrays=input,indices",
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/external/tensorflow/tensorflow/lite/g3doc/r1/convert/ |
D | cmdline_examples.md | 78 --input_arrays=input \ 84 and require additional flags `--input_arrays` and `--output_arrays` as this 100 --input_arrays=input \ 128 --input_arrays=input \ 153 --input_arrays=input \ 165 --input_arrays=input \ 172 The flag `input_arrays` takes in a comma-separated list of input arrays as seen 182 …--input_arrays=InceptionV1/InceptionV1/Mixed_3b/Branch_1/Conv2d_0a_1x1/Relu,InceptionV1/InceptionV… 197 --input_arrays=input \ 216 …--input_arrays=InceptionV1/InceptionV1/Mixed_3b/Branch_1/Conv2d_0a_1x1/Relu,InceptionV1/InceptionV… [all …]
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/external/tensorflow/tensorflow/lite/toco/ |
D | model_cmdline_flags.cc | 49 Flag("input_arrays", parsed_flags.input_arrays.bind(), in ParseModelFlagsFromCommandLineFlags() 50 parsed_flags.input_arrays.default_value(), in ParseModelFlagsFromCommandLineFlags() 234 parsed_model_flags.input_arrays.specified() || in ReadModelFlagsFromCommandLineFlags() 250 if (parsed_model_flags.input_arrays.specified()) { in ReadModelFlagsFromCommandLineFlags() 253 absl::StrSplit(parsed_model_flags.input_arrays.value(), ',')) { in ReadModelFlagsFromCommandLineFlags() 313 if (model_flags->input_arrays().empty()) { in ReadModelFlagsFromCommandLineFlags()
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D | model_cmdline_flags_test.cc | 54 EXPECT_EQ(result_flags.input_arrays.value(), expected_input_arrays); in TEST()
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/external/tensorflow/tensorflow/compiler/mlir/tfjs/translate/ |
D | tf_to_tfjs_json.cc | 75 absl::string_view debug_info_file, absl::string_view input_arrays, in LoadFromGraphdefOrMlirSource() argument 95 file->getBuffer(), debug_info_file, input_arrays, input_dtypes, in LoadFromGraphdefOrMlirSource()
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D | tf_to_tfjs_json.h | 41 absl::string_view debug_info_file, absl::string_view input_arrays,
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/external/tensorflow/tensorflow/compiler/mlir/lite/ |
D | tf_to_tfl_flatbuffer.cc | 105 absl::string_view input_arrays, absl::string_view input_dtypes, in LoadFromGraphdefOrMlirSource() argument 128 file->getBuffer(), debug_info_file, input_arrays, input_dtypes, in LoadFromGraphdefOrMlirSource() 135 file->getBuffer(), debug_info_file, input_arrays, input_dtypes, in LoadFromGraphdefOrMlirSource()
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D | tf_tfl_translate.cc | 195 specs, debug_info_file, input_arrays, input_dtypes, input_shapes, in main() 208 if (mlir::TFL::ParseInputNodeQuantSpecs(input_arrays, min_values, max_values, in main()
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D | tf_to_tfl_flatbuffer.h | 44 absl::string_view input_arrays, absl::string_view input_dtypes,
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/external/tensorflow/tensorflow/lite/experimental/mlir/testing/ |
D | mlir_convert.py | 49 input_arrays = [x[0] for x in input_tensors] 59 graphdef_file.name, input_arrays, output_tensors, input_shapes)
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