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Results 1 - 10 of 15 for serving_default (0.3 sec)
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tensorflow/compiler/mlir/quantization/tensorflow/tests/unfreeze_constants.mlir
func.func @serving_default(%arg_0: tensor<5xf32> {tf_saved_model.index_path = ["input"]}) -> (tensor<5xf32> {tf_saved_model.index_path = ["output"]}) attributes {tf.entry_function = {control_outputs = "", inputs = "inputs:0", outputs = "output:0"}, tf_saved_model.exported_names = ["serving_default"]} { return %arg_0 : tensor<5xf32> } // CHECK: @serving_default(%[[ARG_0:.*]]: tensor<5xf32> {{.*}})
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 17.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/lift_hashtable_ops_as_args.mlir
// CHECK: "tf.LookupTableImportV2"(%[[OUT_0]] func.func private @serving_default(%arg0: tensor<?x!tf_type.string> ) -> (tensor<*xi64>) attributes {tf.entry_function = {control_outputs = "", inputs = "input_vocabs:0", outputs = "FakeQuantWithMinMaxArgs_2:0"}} { %0 = "tf.PartitionedCall"(%arg0) {config = "", config_proto = "", executor_type = "", f = @serving_default1} : (tensor<?x!tf_type.string>) -> (tensor<*xi64>)
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Mar 15 05:41:44 UTC 2024 - 13.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/python/representative_dataset_test.py
self.assertCountEqual(dataset_file_map.keys(), ['serving_default']) dataset_map = repr_dataset.TfRecordRepresentativeDatasetLoader( dataset_file_map ).load() self.assertCountEqual(dataset_map.keys(), ['serving_default']) samples = dataset_map['serving_default'] for sample in samples: self.assertCountEqual(sample.keys(), {'x'}) self.assertAllEqual(sample['x'], np.array([1, 2]))
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jan 04 07:35:19 UTC 2024 - 11.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/replace_stablehlo_ops_in_main_function_with_xla_call_module_ops.mlir
// CHECK: } // CHECK: @serving_default func.func @serving_default(%arg0: tensor<1x1024xf32> {tf_saved_model.index_path = ["input_tensor"]}) -> (tensor<1x1024xf32> {tf_saved_model.index_path = ["output"]}) attributes {tf.entry_function = {control_outputs = "", inputs = "serving_default_input_tensor:0", outputs = "PartitionedCall:0"}, tf_saved_model.exported_names = ["serving_default"]} {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 01:09:50 UTC 2024 - 39.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/insert_calibration_statistics_saver.mlir
func.func @serving_default(%arg0: tensor<1x4xf32> {tf_saved_model.index_path = ["x"]}) -> (tensor<1x3xf32> {tf_saved_model.index_path = ["output"]}) attributes {tf.entry_function = {control_outputs = "", inputs = "serving_default_x:0", outputs = "PartitionedCall:0"}, tf_saved_model.exported_names = ["serving_default"]} { %cst = "tf.Const"() <{value = dense<1.000000e+01> : tensor<f32>}> {device = ""} : () -> tensor<f32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 01:09:50 UTC 2024 - 24.3K bytes - Viewed (0) -
tensorflow/c/experimental/saved_model/internal/saved_model_api_test.cc
TF_SignatureDefFunction* serving_default = TF_GetSavedModelSignatureDefFunction(saved_model, "serving_default", status); EXPECT_EQ(TF_GetCode(status), TF_OK) << TF_Message(status); TF_SignatureDefFunctionMetadata* metadata = TF_SignatureDefFunctionGetMetadata(serving_default); const TF_SignatureDefParamList* args =
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Apr 23 08:08:45 UTC 2024 - 21.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/merge_initializer_function_ops_to_main.mlir
tf_executor.fetch %out_1 : tensor<*xi64> } return %0 : tensor<*xi64> } // Sanity check: The contents of @serving_default is untouched. // CHECK: func.func private @serving_default(%[[ARG_0:.*]]: tensor<?x!tf_type.string>) -> tensor<*xi64> // CHECK-NEXT: %[[RES:.*]] = tf_executor.graph // CHECK: %[[OUT:.*]], %[[CTL:.*]] = tf_executor.island wraps "tf.Const"()
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Oct 31 08:49:35 UTC 2023 - 29.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/insert_custom_aggregation_ops.mlir
func.func @serving_default(%arg0: tensor<1x4xf32> {tf_saved_model.index_path = ["x"]}) -> (tensor<1x3xf32> {tf_saved_model.index_path = ["output"]}) attributes {tf.entry_function = {control_outputs = "", inputs = "serving_default_x:0", outputs = "PartitionedCall:0"}, tf_saved_model.exported_names = ["serving_default"]} {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 10 04:07:09 UTC 2024 - 32.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/python/representative_dataset.py
tf.quantization.experimental.TfRecordRepresentativeDatasetSaver( path_map={'serving_default': '/tmp/representative_dataset_path'} ).save({'serving_default': representative_dataset}) ) # Using in QuantizationOptions. quantization_options = tf.quantization.experimental.QuantizationOptions( signature_keys=['serving_default'], representative_datasets=dataset_file_map, )
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Mar 22 22:55:22 UTC 2024 - 14.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/python/integration_test/quantize_model_test_base.py
self, output_saved_model_path: str ) -> str: """Extracts the first XlaCallModule op from output saved model to string.""" root = load.load(output_saved_model_path) tf_graph_def = root.signatures['serving_default'].graph.as_graph_def() for function in tf_graph_def.library.function: for node_def in function.node_def: if node_def.op == 'XlaCallModule': with ir.Context() as context:
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 14 06:31:57 UTC 2024 - 18.2K bytes - Viewed (0)