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tensorflow/c/eager/gradient_checker_test.cc
float* expected_grad, int num_grad, bool use_function, double abs_error = 1e-2) { Status s; AbstractTensorHandlePtr numerical_grad; { AbstractTensorHandle* numerical_grad_raw; s = CalcNumericalGrad(ctx, model, inputs, input_index, use_function, &numerical_grad_raw); ASSERT_EQ(errors::OK, s.code()) << s.message(); numerical_grad.reset(numerical_grad_raw); }
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Apr 14 10:03:59 GMT 2023 - 6.5K bytes - Viewed (0) -
ci/official/utilities/code_check_changed_files.bats
# Note: this is excluded on the full code base, since any submitted code must # have passed Google's internal style guidelines. @test "Check pylint for Python files" { echo "Python formatting is recommended. Here are the pylint errors:" echo "=============================" grep -e "\.py$" $BATS_FILE_TMPDIR/changed_files > $BATS_TEST_TMPDIR/files || true if [[ ! -s $BATS_TEST_TMPDIR/files ]]; then return 0; fi
Plain Text - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Jan 10 19:39:41 GMT 2024 - 4K bytes - Viewed (0) -
ci/official/containers/linux_arm64/devel.usertools/aarch64.bazelrc
build --copt="-mtune=generic" --copt="-march=armv8-a" --copt="-O3" # Test-related settings below this point. test --build_tests_only --keep_going --test_output=errors --verbose_failures=true test --test_timeout=500,900,-1,-1 # Give only the list of failed tests at the end of the log test --test_summary=short # "nonpip" tests are regular py_test tests.
Plain Text - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Tue Nov 21 12:25:39 GMT 2023 - 5.8K bytes - Viewed (0) -
tensorflow/c/eager/immediate_execution_operation.h
virtual Status InputLength(const char* input_name, int* length) = 0; virtual Status OutputLength(const char* output_name, int* length) = 0; // Set stack trace to be used for potential async error reporting. virtual void SetStackTrace(ManagedStackTrace stack_trace) = 0; virtual const tensorflow::AbstractOpAttrs* GetOpAttrs() const = 0; virtual void AddAttrs(const AbstractOpAttrs* op_attrs) = 0;
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Sep 26 22:40:32 GMT 2022 - 3.6K bytes - Viewed (0) -
tensorflow/c/eager/c_api_unified_experimental.cc
"' (available: "); // Ensure deterministic (sorted) order in the error message std::set<string> factories_sorted; for (const auto& factory : GetFactories()) factories_sorted.insert(factory.first); const char* comma = ""; for (const string& factory : factories_sorted) { msg += comma + factory; comma = ", "; } msg += ")"; return errors::InvalidArgument(msg.c_str()); }
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 9K bytes - Viewed (0) -
tensorflow/c/eager/c_api_unified_experimental_test.cc
#include "tensorflow/c/tf_status.h" #include "tensorflow/c/tf_status_helper.h" #include "tensorflow/c/tf_tensor.h" #include "tensorflow/core/framework/full_type.pb.h" #include "tensorflow/core/platform/errors.h" #include "tensorflow/core/platform/status.h" #include "tensorflow/core/platform/test.h" using tensorflow::Status; using tensorflow::string; using tensorflow::TF_StatusPtr; namespace tensorflow {
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri May 19 21:44:52 GMT 2023 - 39.1K bytes - Viewed (0) -
.github/bot_config.yml
* Try adding the CUDA, CUPTI, and cuDNN installation directories to the $LD_LIBRARY_PATH environment variable. * Refer [linux setup guide](https://www.tensorflow.org/install/gpu#linux_setup). * If error still persists then, apparently your CPU model does not support AVX instruction sets. * Refer [hardware requirements](https://www.tensorflow.org/install/pip#hardware-requirements).
Others - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Tue Oct 17 11:48:07 GMT 2023 - 4K bytes - Viewed (0) -
WORKSPACE
) python_repository(name = "python_version_repo") load("@python_version_repo//:py_version.bzl", "TF_PYTHON_VERSION") python_register_toolchains( name = "python", ignore_root_user_error = True, python_version = TF_PYTHON_VERSION, ) load("@python//:defs.bzl", "interpreter") load("@rules_python//python:pip.bzl", "package_annotation", "pip_parse") NUMPY_ANNOTATIONS = {
Plain Text - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Fri Apr 05 22:27:48 GMT 2024 - 3K bytes - Viewed (2) -
tensorflow/c/experimental/gradients/grad_test_helper.cc
ASSERT_NEAR(dnumerical[j], danalytical[j], abs_error); } TF_DeleteTensor(analytical_tensor); TF_DeleteTensor(numerical_tensor); delete[] danalytical; delete[] dnumerical; outputs[i]->Unref(); } } void CheckTensorValue(AbstractTensorHandle* t, absl::Span<const float> manuals, absl::Span<const int64_t> dims, double abs_error) { TF_Tensor* analytical_tensor;
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 5K bytes - Viewed (0) -
tensorflow/c/eager/abstract_tensor_handle.h
public: // Returns tensor dtype. virtual tensorflow::DataType DataType() const = 0; // Returns the status of the tensor handle. If it is a tfrt::TensorHandle, // the tensor handle can be an error and return non-OK status. virtual tensorflow::Status TensorHandleStatus() const; // Returns tensor shape. If tensor has unknown rank, shape remains untouched. virtual tensorflow::Status Shape(
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Mar 03 00:30:36 GMT 2023 - 3K bytes - Viewed (0)