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Results 11 - 20 of 49 for serving_default (0.25 sec)
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tensorflow/compiler/mlir/tensorflow/tests/resource_analyzer.mlir
// Test that VarHandleOp is not marked as "potentially written" if it is not // assigned inside the function called by "tf.BatchFunction". module { // CHECK-LABEL: @serving_default func.func @serving_default() -> (tensor<*xi32>) { // expected-remark@below {{device: "", container: "", shared_name: "var_0", is_potentially_written: false}}
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Aug 14 15:35:49 UTC 2023 - 2.3K 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/compiler/mlir/quantization/stablehlo/tests/passes/insert_calibration_statistics_saver_with_skipping.mlir
// RUN: stablehlo-quant-opt %s -split-input-file -stablehlo-insert-calibration-statistics-saver='aggregator-ops-to-ignore=skipping_id' | FileCheck %s func.func @serving_default(%arg0: tensor<1x3x4x3xf32>) -> (tensor<1x2x2x2xf32>) attributes {tf.entry_function = {control_outputs = "", inputs = "serving_default_input_tensor:0", outputs = "PartitionedCall:0"}} {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 14 06:31:57 UTC 2024 - 6.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfrt/tests/ifrt/rewrite_cluster_to_ifrt_call.mlir
// TODO(b/316226111): the printer may not guarantee the same order of fields. Rewrite the checks to be less sensitive to proto serialization formats. // ----- // Non-SPMD: one input and one output // // CHECK-LABEL: func.func @serving_default(%arg0: tensor<1x3xf32>) -> tensor<1x3xf32> { // CHECK-NEXT: "tf.IfrtCall"(%arg0) // CHECK-SAME: {program_id = [[PROGRAM_ID:.*]] : i64, variable_arg_indices = []} // CHECK-SAME: (tensor<1x3xf32>) -> tensor<1x3xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Feb 17 07:28:40 UTC 2024 - 9K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/python/integration_test/quantize_model_test.py
converted_model2.signatures._signatures.keys(), {'serving_default'} ) # Expect two models to produce the same results. test_data = ops.convert_to_tensor( np.random.uniform(low=0, high=64, size=(32)).astype( dtypes.int32.as_numpy_dtype ) ) new_outputs_1 = converted_model1.signatures['serving_default']( input_tensor=test_data
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 17 03:36:50 UTC 2024 - 235.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfrt/tests/mlrt/rewrite_ifrt_load_variable.mlir
// RUN: tf-tfrt-opt -split-input-file -tf-mlrt-rewrite-ifrt-load-variable %s | FileCheck %s // Variable is used by both CPU and TPU // // CHECK-LABEL: func @serving_default(%arg0: tensor<1x3xf32>) -> tensor<1x1xf32> // CHECK-NEXT: [[HANDLE:%.*]] = "tf.VarHandleOp"() // CHECK-NEXT: [[ARRAYKEY:%.*]], [[FURTURE:%.*]] = "tf_mlrt.tf_ifrt_load_variable"([[HANDLE]])
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 22 21:35:32 UTC 2024 - 1.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/odml-to-stablehlo-allow-tf.mlir
func.func @serving_default(%arg0: tensor<1x20x20x28xf32> {tf_saved_model.index_path = ["a"]}) -> (tensor<1x40x40x28xf32> {tf_saved_model.index_path = ["b"]}) attributes {tf.entry_function = {control_outputs = "", inputs = "c:0", outputs = "d:0"}, tf_saved_model.exported_names = ["serving_default"]} { %c = stablehlo.constant dense<40> : tensor<2xi32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sun Apr 14 18:33:43 UTC 2024 - 914 bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/odml-to-stablehlo-smuggle-resize.mlir
func.func @serving_default(%arg0: tensor<1x32x32x128xf32> {tf_saved_model.index_path = ["a"]}) -> (tensor<1x64x64x128xf32> {tf_saved_model.index_path = ["b"]}) attributes {tf.entry_function = {control_outputs = "", inputs = "c:0", outputs = "d:0"}, tf_saved_model.exported_names = ["serving_default"]} { %0 = "tf.Const"() {value = dense<[56, 904]> : tensor<2xi32>} : () -> tensor<2xi32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sun Apr 14 18:33:43 UTC 2024 - 1.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/convert_tpu_model_to_cpu.mlir
return %0 : tensor<1xf32> } // The contents of `@serving_default` should have been inlined to `@batch_func`. // CHECK: func.func @serving_default(%[[ARG0:.*]]: tensor<1xf32>, %[[ARG1:.*]]: tensor<1xf32>) -> tensor<1xf32> // CHECK-NOT: tf.BatchFunction // CHECK: %[[ADD0:.*]] = "tf.AddV2"(%[[ARG0]], %[[ARG1]]) // CHECK: return %[[ADD0]] : tensor<1xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 4.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/cc/calibration/representative_dataset.cc
// If the signature_key has not been explicitly specified, use the default // value of "serving_default". const std::string signature_key = dataset_config.has_signature_key() ? dataset_config.signature_key() : "serving_default"; if (repr_dataset_file_map.contains(signature_key)) { return absl::InvalidArgumentError(
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Jan 29 04:53:21 UTC 2024 - 2.5K bytes - Viewed (0)