/external/tensorflow/tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/ |
D | signature_with_multiple_entry_points.mlir | 7 // CHECK-SAME: tf.entry_function = {inputs = "input1:0,input2:0", outputs = "result:0"} 14 // CHECK-SAME: tf.entry_function = {inputs = "input2:0,input1:0", outputs = "result:0"} 18 …nsor<?xf32> {tf_saved_model.index_path = ["result"]}) attributes {tf.entry_function = {control_out… 24 …nsor<?xf32> {tf_saved_model.index_path = ["result"]}) attributes {tf.entry_function = {control_out…
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D | input_output_names_attr.mlir | 3 // Tests input and output names from FlatBuffer are added to `tf.entry_function` attribute. 7 // CHECK: attributes {tf.entry_function = {inputs = "input0,input1", outputs = "output0,output1"}} 8 attributes {tf.entry_function = {inputs = "input0,input1", outputs = "output0,output1"}} {
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D | signature.mlir | 7 // CHECK-SAME: tf.entry_function = {inputs = "serving_default_input2:0,serving_default_input1:0", o… 10 …x5xf32> {tf_saved_model.index_path = ["end_logits"]}) attributes {tf.entry_function = {control_out…
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D | pruning_function_input_as_output.mlir | 4 func.func @main(%arg0: tensor<4xf32>) -> tensor<4xf32> attributes {tf.entry_function = {inputs = "m…
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/external/tensorflow/tensorflow/compiler/mlir/lite/python/ |
D | saved_model_to_tfl_flatbuffer.cc | 56 mlir::func::FuncOp entry_function = nullptr; in HandleInputOutputArraysWithModule() local 62 if (entry_function != nullptr) { in HandleInputOutputArraysWithModule() 66 entry_function = func; in HandleInputOutputArraysWithModule() 69 if (entry_function == nullptr) { in HandleInputOutputArraysWithModule() 75 entry_function->getAttrOfType<mlir::DictionaryAttr>("tf.entry_function"); in HandleInputOutputArraysWithModule()
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/external/tensorflow/tensorflow/compiler/mlir/quantization/tensorflow/tests/ |
D | insert_main_function.mlir | 25 …or<1xf32> {tf_saved_model.index_path = ["output_0"]}) attributes {tf.entry_function = {inputs = "m… 29 …tensor<1xf32>, %arg1: tensor<1xf32>) -> tensor<1xf32> attributes {tf.entry_function = {inputs = "m… 34 …or<1xf32> {tf_saved_model.index_path = ["output_0"]}) attributes {tf.entry_function = {inputs = "m… 40 …tensor<1xf32>, %arg1: tensor<1xf32>) -> tensor<1xf32> attributes {tf.entry_function = {inputs = "m… 47 …tf_saved_model.index_path = ["PartitionedCall_1:0"]}) attributes {tf.entry_function = {inputs = "m…
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/external/tensorflow/tensorflow/compiler/mlir/tensorflow/tests/ |
D | tf_saved_model_initialize_variables_in_session_init.mlir | 8 …attributes {tf.entry_function = {control_outputs = "", inputs = "", outputs = "dense_2/Add:0"}, tf… 29 …attributes {tf.entry_function = {control_outputs = "", inputs = "", outputs = "dense_2/Add:0"}, tf… 55 …attributes {tf.entry_function = {control_outputs = "", inputs = "", outputs = "dense_2/Add:0"}, tf… 69 …attributes {tf.entry_function = {control_outputs = "", inputs = "", outputs = "dense_2/Add:0"}, tf… 90 …attributes {tf.entry_function = {control_outputs = "", inputs = "", outputs = "dense_2/Add:0"}, tf…
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D | tf_saved_model_lift_variables.mlir | 8 …attributes {tf.entry_function = {control_outputs = "", inputs = "", outputs = "dense_2/Add:0"}, tf… 32 …attributes {tf.entry_function = {control_outputs = "", inputs = "", outputs = "dense_2/Add:0"}, tf… 42 …attributes {tf.entry_function = {control_outputs = "", inputs = "", outputs = "dense_2/Add:0"}, tf… 70 …attributes {tf.entry_function = {control_outputs = "", inputs = "", outputs = "dense_2/Add:0"}, tf…
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D | tf_saved_model_lift_variables_invalid_session.mlir | 8 …attributes {tf.entry_function = {control_outputs = "", inputs = "", outputs = "dense_2/Add:0"}, tf… 25 …attributes {tf.entry_function = {control_outputs = "", inputs = "", outputs = "dense_2/Add:0"}, tf…
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D | optimize-arg-operand-constraint.mlir | 7 attributes {tf.entry_function = {inputs = "input", outputs = "output_node"}} {
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D | tf_saved_model_initialize_variables_in_session_init_fail.mlir | 7 …attributes {tf.entry_function = {control_outputs = "", inputs = "", outputs = "dense_2/Add:0"}, tf…
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D | graph_pruning.mlir | 158 // "tf.entry_function" attribute defined is ignored by the pruning pass: this 175 // "tf.entry_function" attribute defined with no feed/fetch/target nodes is 178 func.func @main() attributes {tf.entry_function = {control_outputs = "", inputs = "", outputs = ""}…
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/external/tensorflow/tensorflow/compiler/mlir/lite/tests/ |
D | legalize-tf-variables.mlir | 7 …1x10xi64> {tf_saved_model.index_path = ["output_1"]}) attributes {tf.entry_function = {control_out… 53 …(tensor<1x10xf32> {tf_saved_model.index_path = ["output_0"]}) attributes {tf.entry_function = {con… 74 …(tensor<1x10xui64> {tf_saved_model.index_path = ["output_0"]}) attributes {tf.entry_function = {co… 88 …() attributes {tf.entry_function = {control_outputs = "", inputs = "", outputs = ""}, tf_saved_mod… 104 …(tensor<1x10xf32> {tf_saved_model.index_path = ["output_0"]}) attributes {tf.entry_function = {con…
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D | insert_call_once_op.mlir | 19 …attributes {tf.entry_function = {control_outputs = "", inputs = "input:0", outputs = "hash_table_L… 35 …attributes {tf.entry_function = {control_outputs = "", inputs = "input:0", outputs = "output:0"}, …
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D | post-quantize-dynamic-range.mlir | 7 …CustomOp(%arg0: tensor<1x1x1x1xf32>) -> tensor<*xf32> attributes {tf.entry_function = {inputs = "i… 22 …CustomOp(%arg0: tensor<1x1x1x1xf32>) -> tensor<*xf32> attributes {tf.entry_function = {inputs = "i… 42 …CustomOp(%arg0: tensor<1x1x1x1xf32>) -> tensor<*xf32> attributes {tf.entry_function = {inputs = "i… 70 …32>) -> (tensor<*xf32>, tensor<*xf32>, tensor<*xf32>) attributes {tf.entry_function = {inputs = "i…
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/external/tensorflow/tensorflow/compiler/mlir/tfrt/tests/saved_model/testdata/ |
D | test.mlir | 10 tf.entry_function = {control_outputs = "", inputs = "input:0", outputs = "result:0"}, 21 tf.entry_function = {control_outputs = "", inputs = "input:0", outputs = "result:0"},
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/external/tensorflow/tensorflow/compiler/mlir/tfrt/tests/tf_to_corert/ |
D | tf_to_corert_pipeline_cpurt.mlir | 25 attributes { tf.entry_function = {control_outputs = "", 61 attributes { tf.entry_function = {control_outputs = "", 102 attributes { tf.entry_function = {control_outputs = "", 142 attributes { tf.entry_function = {control_outputs = "", 173 attributes { tf.entry_function = {control_outputs = "",
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/external/tensorflow/tensorflow/compiler/mlir/tensorflow/tests/mlir2graphdef/ |
D | export_main_to_flib.mlir | 4 func.func @main() attributes {tf.entry_function = {inputs = "", outputs = ""}} {
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D | aliasing_arg_attr.mlir | 7 attributes {tf.entry_function = {inputs = "args_0,args_1", outputs = "rets_0,rets_1"}} {
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D | unique_output_name.mlir | 4 …x1x2xf32> {tf_saved_model.index_path = ["output_0"]}) attributes {tf.entry_function = {inputs = "s…
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/external/tensorflow/tensorflow/compiler/mlir/lite/tests/mlir2flatbuffer/ |
D | metadata.mlir | 7 attributes {tf.entry_function = {inputs = "input", outputs = "SameNameAsOutput"}} {
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D | tf_entry_function.mlir | 4 func.func @serving_default(%arg0: tensor<3x2xf32>) -> tensor<3x2xf32> attributes {tf.entry_function…
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D | signature_def_with_no_inputs.mlir | 43 …xf32> {tf_saved_model.index_path = ["start_logits"]}) attributes {tf.entry_function = {control_out…
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D | unranked_tensor.mlir | 4 func.func @serving_default(%arg0: tensor<*xf32>) -> tensor<*xf32> attributes {tf.entry_function = {…
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/external/tensorflow/tensorflow/compiler/mlir/lite/tests/end2end/ |
D | unroll_batch_matmul_disabled.pbtxt | 80 … %[[VAL_1:.*]]: tensor<3x7xf32>) -> tensor<2x5x7xf32> attributes {tf.entry_function = {control_out…
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