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src/internal/types/testdata/fixedbugs/issue49005.go
var _ = F2 /* ERROR "impossible type assertion: F2().(*X2)\n\t*X2 does not implement T2 (missing method M)" */ ().(*X2) type X2 struct{} func _() { switch F2().(type) { case * /* ERROR "impossible type switch case: *X2\n\tF2() (value of type T2) cannot have dynamic type *X2 (missing method M)" */ X2: }
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Tue Jan 17 19:54:27 UTC 2023 - 689 bytes - Viewed (0) -
tensorflow/cc/saved_model/experimental/public/function_metadata.h
namespace experimental { namespace cc { // FunctionMetadata stores additional function information, including // optional signaturedef feeds/fetches (for TF1-based ConcreteFunctions), // a valid function path (for TF2-based ConcreteFunctions), and // the types + number of inputs and outputs. class FunctionMetadata final { // TODO(bmzhao): Add getters here as necessary. private: friend class ConcreteFunction;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 12 19:37:48 UTC 2020 - 1.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/exported_model.proto
// to populate `MetaInfoDef`s `function_aliases` when the quantized model is // exported to the saved model. This field is usually only populated for the // TF2 models. map<string, string> function_aliases = 6; // Holds information about the asset files used for the model. It essentially // associates asset file names with the tensors to which the asset file names
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Mar 03 06:12:59 UTC 2023 - 2.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/api/v2/cluster_tf.cc
} void CreateReplicatedClusteringPipeline(OpPassManager &pm, llvm::StringRef module_name) { // Since the internal bridge clustering passes are shared among TF1/TF2 // TF2-only passes should go here. However, this should be very rare and // new passes generally should go into the internal // AddReplicatedBridgeClusteringPipelinePasses.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Mar 28 22:25:18 UTC 2024 - 8.7K bytes - Viewed (0) -
tensorflow/c/experimental/saved_model/README.md
# Tensorflow C SavedModel API ## Overview These are the new experimental C SavedModel APIs for loading and running SavedModels in a TF2-idiomatic fashion. See [RFC 207](https://github.com/tensorflow/community/pull/207) for additional context. The directory structure is as follows: ```none saved_model/ public/ internal/ core/ ``` ## saved_model/public
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Apr 20 17:00:01 UTC 2020 - 2K bytes - Viewed (0) -
tensorflow/c/experimental/saved_model/core/ops/variable_ops.h
namespace tensorflow { namespace internal { // Executes a VarHandleOp using `ctx`, and fills `handle` with the DT_RESOURCE // TensorHandle associated with the variable. This is equivalent to creating an // unitialized TF2 tf.Variable. // https://github.com/tensorflow/tensorflow/blob/516608035f85cec8b126712b0ff8407220206b22/tensorflow/python/ops/resource_variable_ops.py#L1867-L1872 Status CreateUninitializedResourceVariable(ImmediateExecutionContext* ctx,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Aug 30 21:44:45 UTC 2022 - 3.2K bytes - Viewed (0) -
tensorflow/c/experimental/saved_model/core/revived_types/flat_tensor_function.cc
return Status(); } Status FlatTensorFunction::MakeCallOp( absl::Span<AbstractTensorHandle* const> inputs, ImmediateOpPtr* out) const { out->reset(ctx_->CreateOperation()); // In eager mode, TF2 python executes functions by constructing an op with // the name of the functiondef: // https://github.com/tensorflow/tensorflow/blob/66668ec0ca432e2f38a575b814f45b6d299d01ed/tensorflow/python/eager/function.py#L545
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Apr 14 19:16:58 UTC 2023 - 3.7K bytes - Viewed (0) -
tensorflow/c/experimental/saved_model/core/revived_types/flat_tensor_function.h
#include "tensorflow/core/framework/function.pb.h" #include "tensorflow/core/protobuf/saved_object_graph.pb.h" namespace tensorflow { // FlatTensorFunction models a TF2 eager runtime view of a callable function, // taking + returning flat lists of tensors, including any captures. // Effectively, it is a thin wrapper around a FunctionDef owned by the
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Sep 22 21:03:41 UTC 2020 - 3.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/mlir_bridge_rollout_policy.h
// enabled or disabled, it will decide whether or not to run the bridge. // // The config_proto param is a required input for all TF1 graphs but it is // redundant for TF2 graphs. // If getting rollout policy involves graph analysis, `record_stats` is used // to decide whether to emit metrics on unsupported features of the graph. MlirBridgeRolloutPolicy GetMlirBridgeRolloutPolicy(
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Feb 16 23:11:04 UTC 2024 - 3.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tf_saved_model/common_v1.py
"""Serves as a common "main" function for all the SavedModel tests. There is a fair amount of setup needed to initialize tensorflow and get it into a proper TF2 execution mode. This hides that boilerplate. """ import tempfile from absl import app from absl import flags from absl import logging import tensorflow.compat.v1 as tf
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Mar 20 13:19:26 UTC 2023 - 5.2K bytes - Viewed (0)