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tensorflow/c/experimental/grappler/grappler_internal.h
#include "tensorflow/c/c_api.h" #include "tensorflow/c/experimental/grappler/grappler.h" #include "tensorflow/core/framework/graph.pb.h" #include "tensorflow/core/grappler/optimizers/custom_graph_optimizer.h" #include "tensorflow/core/grappler/optimizers/custom_graph_optimizer_registry.h" #include "tensorflow/core/platform/status.h" #include "tensorflow/core/protobuf/rewriter_config.pb.h" namespace tensorflow { namespace grappler {
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.github/ISSUE_TEMPLATE/tflite-other.md
- type: input id: tfversion attributes: label: Tensorflow Version description: placeholder: ex,. tf 2.8 validations: required: true - type: dropdown id: Code attributes: label: Custom Code description: options: - "Yes" - "No" validations: required: true - type: input id: OS attributes: label: OS Platform and Distribution description: placeholder: e.g., Linux Ubuntu 16.04 validations: required:
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ci/official/utilities/generate_index_html.sh
<li><a href="http://sponge2/$KOKORO_BUILD_ID">Sponge2</a></li> <li><a href="http://sponge/target:$KOKORO_JOB_NAME">Sponge - recent jobs</a></li> <li><a href="http://fusion2/ci/kokoro/prod:$(echo "$KOKORO_JOB_NAME" | sed 's!/!%2F!g')">Test Fusion - recent jobs</a></li> <li><a href="http://cs/f:devtools/kokoro/config/prod/$KOKORO_JOB_NAME">Codesearch - job definition</a></li>
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tensorflow/c/eager/c_api_test.cc
TF_DeleteStatus(status); TFE_DeleteOp(var_op); TFE_DeleteOp(var_op_2); TFE_DeleteContext(ctx); } // Needs to work with a const TFE_Op since custom devices should not modify the // op they are called with. TFE_Op* CloneOp(const TFE_Op* other) { TF_Status* status = TF_NewStatus(); TFE_Context* context = TFE_OpGetContext(other, status);
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tensorflow/c/eager/c_api_experimental.h
// be an empty string if no device was explicitly requested, but will // otherwise be the name of this custom device. Ops are placed onto a custom // device if any of their inputs are on that custom device, but custom devices // are free to set a bad status in order to require explicit placement. void (*execute)(const TFE_Op* op, int* num_outputs,
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ci/official/containers/linux_arm64/setup.sources.sh
# setup.python.sh: Install a specific Python version and packages for it. # Usage: setup.python.sh <pyversion> <requirements.txt> # Sets up custom apt sources for our TF images. # Prevent apt install tzinfo from asking our location (assumes UTC) export DEBIAN_FRONTEND=noninteractive # Set up shared custom sources apt-get update apt-get install -y gnupg ca-certificates # Deadsnakes: https://launchpad.net/~deadsnakes/+archive/ubuntu/ppa
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tensorflow/c/eager/parallel_device/parallel_device_remote_test.cc
const char* first_device = "/job:worker/replica:0/task:1/device:CPU:0"; const char* second_device = "/job:worker/replica:0/task:2/device:CPU:0"; const char* device_name = "/job:localhost/replica:0/task:0/device:CUSTOM:0"; std::array<const char*, 2> underlying_devices{first_device, second_device}; RegisterParallelDevice(context.get(), device_name, underlying_devices, status.get());
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tensorflow/c/eager/immediate_execution_operation.h
virtual ImmediateExecutionContext* GetContext() const = 0; // Following two methods are used to support custom device. // Return true if the inputs contain custom device tensor handle. It means // that the argument need to be handled by a custom device. virtual bool HasCustomDeviceInput() const = 0; virtual const tensorflow::OpDef* OpDef() const = 0;
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tensorflow/c/experimental/grappler/BUILD
"//tensorflow/core/grappler:grappler_item", "//tensorflow/core/grappler/costs:graph_properties", "//tensorflow/core/grappler/optimizers:custom_graph_optimizer", "//tensorflow/core/grappler/optimizers:custom_graph_optimizer_registry", "//tensorflow/core/platform:logging", "//tensorflow/core/platform:status", "@com_google_absl//absl/status",
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.github/ISSUE_TEMPLATE/tflite-converter-issue.md
- Provide links to your updated versions of the above two colab notebooks. - Provide links to your TensorFlow model and (optionally) TensorFlow Lite Model. ``` #### Option B: Paste your code here or provide a link to a custom end-to-end colab ``` (You can paste links or attach files by dragging & dropping them below) - Include code to invoke the TFLite Converter Python API and the errors.
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