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tensorflow/c/experimental/filesystem/filesystem_interface.h
/// `const`. /// /// For consistency, the arguments on all these functions follow the same /// pattern: first we have the opaque pointer argument ("this" above), then the /// input arguments, then the in-out arguments (if any) and we finish the /// argument list with the out arguments. We only use the return type for an out /// parameter if that is a plain C type, as this ensures ABI compatibility
C - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Fri May 27 17:36:54 GMT 2022 - 53.1K bytes - Viewed (0) -
ci/official/requirements_updater/README.md
To set a different version, use the `TF_PYTHON_VERSION` environment variable, e.g. ``` export TF_PYTHON_VERSION=3.11 ``` To specify the version via a Bazel command argument, use the following: ``` --repo_env=TF_PYTHON_VERSION=3.11 ``` ## Requirements updater Requirements updater is a standalone tool, intended to simplify process of
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tensorflow/c/experimental/ops/README.md
The C++ files in this directory (***\*_ops.h*** and ***\*_ops.cc***) are autogenerated from the registered Op and API definitions. To regenerate them, run the script in this directory, `update_cpp_ops.sh`, with no arguments. This script will overwrite the existing ops in-place at ***tensorflow/c/experimental/ops/\*_ops.{cc,h}***. Run this `update_cpp_ops.sh` script when Op definitions change in the registry.
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.github/workflows/release-branch-cherrypick.yml
# input the branch name and paste the cherry-pick commit and click Run. A PR # will be created. name: Release Branch Cherrypick on: workflow_dispatch: inputs: # We use this instead of the "run on branch" argument because GitHub looks # on that branch for a workflow.yml file, and we'd have to cherry-pick # this file into those branches. release_branch: description: 'Release branch name (e.g. r2.9)'
Others - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Tue Sep 12 14:49:29 GMT 2023 - 3.1K bytes - Viewed (0) -
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; virtual Status InputLength(const char* input_name, int* length) = 0;
C - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Mon Sep 26 22:40:32 GMT 2022 - 3.6K bytes - Viewed (0) -
ci/official/wheel_test/update_requirements.sh
# -u: error if undefined variable used # -o pipefail: entire command fails if pipe fails. watch out for yes | ... # -o history: record shell history set -euo pipefail -o history # Check for required arguments if [ -z "$1" ]; then echo "Usage: $0 <path_to_tensorflow_wheel> <python_version>" exit 1 fi TENSORFLOW_WHEEL_PATH="$1" PYTHON_VERSION="$2" # All commands run relative to this directory
Shell Script - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Thu Aug 31 18:17:57 GMT 2023 - 1.9K bytes - Viewed (0) -
tensorflow/c/experimental/filesystem/BUILD
tf_cc_test( name = "modular_filesystem_test", size = "small", srcs = ["modular_filesystem_test.cc"], linkopts = ["-ldl"], tags = [ "manual", # Requires DSOs as arguments, eventual setup "notap", # b/139060984, requires implementing modular support for Google filesystem ], deps = [ ":modular_filesystem", "//tensorflow/core:framework_internal",
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RELEASE.md
* Extends `tf.keras.layers.Lambda` layers to support multi-argument lambdas, and keyword arguments when calling the layer. * Functional models now get constructed if *any* tensor in a layer call's arguments/keyword arguments comes from a keras input. Previously the functional api would only work if all of the elements in the first argument to the layer came from a keras input.
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tensorflow/c/eager/dlpack.cc
// 1) nullptr indicates tensor is compact and row-majored. // 2) fill in the strides array as the real case for compact row-major data. // Here we choose option 2, since some frameworks didn't handle the strides // argument properly. dlm_tensor->dl_tensor.strides = stride_arr->data(); dlm_tensor->dl_tensor.byte_offset = 0; // TF doesn't handle the strides and byte_offsets here return static_cast<void*>(dlm_tensor); }
C++ - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 12.8K bytes - Viewed (0) -
tensorflow/c/c_api_function_test.cc
DefineFunction("MyGrad2", &grad_func2); // func cannot be null TF_GraphCopyFunction(host_graph_, nullptr, func_, s_); EXPECT_EQ(TF_INVALID_ARGUMENT, TF_GetCode(s_)); EXPECT_EQ(string("'func' argument to TF_GraphCopyFunction cannot be null"), string(TF_Message(s_))); // Cannot change gradient TF_GraphCopyFunction(host_graph_, func_, grad_func1, s_);
C++ - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Thu Jul 20 22:08:54 GMT 2023 - 63.6K bytes - Viewed (6)