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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",
Plain Text - Registered: Tue Feb 27 12:39:08 GMT 2024 - Last Modified: Wed Sep 06 19:12:29 GMT 2023 - 2.1K bytes - Viewed (0) -
.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.
Plain Text - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Wed Jun 15 03:35:58 GMT 2022 - 2.1K bytes - Viewed (0) -
tensorflow/c/eager/c_api.h
unsigned char* is_list, TF_Status* status); // Get an attribute type given an op name; a fusion of TFE_NewOp and // TFE_OpGetAttrType for use from Python without the overhead of the individual // calls and memory management of TFE_Op. TF_CAPI_EXPORT extern TF_AttrType TFE_OpNameGetAttrType(
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Apr 27 21:07:00 GMT 2023 - 22.8K bytes - Viewed (1) -
tensorflow/c/experimental/grappler/grappler.cc
#include "tensorflow/core/grappler/costs/graph_properties.h" #include "tensorflow/core/grappler/costs/op_performance_data.pb.h" #include "tensorflow/core/grappler/grappler_item.h" #include "tensorflow/core/grappler/optimizers/custom_graph_optimizer_registry.h" #include "tensorflow/core/platform/logging.h" #include "tensorflow/core/platform/status.h" #include "tensorflow/core/protobuf/rewriter_config.pb.h" #include "tsl/platform/env.h"
C++ - Registered: Tue Feb 27 12:39:08 GMT 2024 - Last Modified: Wed Sep 06 19:12:29 GMT 2023 - 15K bytes - Viewed (1) -
tensorflow/c/BUILD
load("@local_tsl//tsl/platform:rules_cc.bzl", "cc_library") load( "//tensorflow:tensorflow.bzl", "check_deps", "if_google", "if_not_mobile", "tf_cc_test", "tf_copts", "tf_cuda_library", "tf_custom_op_library", "tf_kernel_library", ) load("//tensorflow:tensorflow.default.bzl", "filegroup", "tf_cuda_cc_test") load( "//tensorflow/core/tpu:build_defs.bzl", "if_libtpu_tf_status", ) package(
Plain Text - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Mar 27 18:00:18 GMT 2024 - 30.3K bytes - Viewed (0) -
CONTRIBUTING.md
[Google Python Style Guide](https://github.com/google/styleguide/blob/gh-pages/pyguide.md) Use `pylint` to check your Python changes. To install `pylint` and check a file with `pylint` against TensorFlow's custom style definition: ```bash pip install pylint pylint --rcfile=tensorflow/tools/ci_build/pylintrc myfile.py ``` Note `pylint --rcfile=tensorflow/tools/ci_build/pylintrc` should run from the
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tensorflow/c/eager/immediate_execution_context.h
// Experimental Custom Device. //===--------------------------------------------------------------------===// virtual CustomDeviceOpHandler& GetCustomDeviceOpHandler() = 0; // Returns whether `device_name` is registered as a custom device. virtual bool IsCustomDevice(const string& device_name) = 0; // Register a custom device. It will return error is the device name is
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Jul 06 08:34:00 GMT 2023 - 12.3K bytes - Viewed (0) -
tensorflow/c/eager/c_api.cc
#include "tensorflow/core/common_runtime/eager/attr_builder.h" #include "tensorflow/core/common_runtime/eager/context.h" #include "tensorflow/core/common_runtime/eager/custom_device.h" #include "tensorflow/core/common_runtime/eager/custom_device_op_handler.h" #include "tensorflow/core/common_runtime/eager/execute.h" #include "tensorflow/core/common_runtime/eager/placement_utils.h"
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Mar 12 20:00:09 GMT 2024 - 43.9K bytes - Viewed (2) -
RELEASE.md
* `tf.saved_model`: * SavedModels can now save custom gradients. Use the option `tf.saved_model.SaveOption(experimental_custom_gradients=True)` to enable this feature. The documentation in [Advanced autodiff](https://www.tensorflow.org/guide/advanced_autodiff#custom_gradients) has been updated.
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tensorflow/c/eager/BUILD
"//tensorflow/core:test_main", "@com_google_absl//absl/strings", ], ) cc_library( name = "custom_device_testutil", testonly = True, srcs = ["custom_device_testutil.cc"], hdrs = ["custom_device_testutil.h"], visibility = ["//tensorflow:internal"], deps = [ ":c_api", ":c_api_experimental", ":c_api_test_util",
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