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Results 21 - 30 of 87 for Perron (3.19 sec)
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tensorflow/c/eager/gradients.cc
AbstractOperationPtr op(ctx->CreateOperation()); TF_RETURN_IF_ERROR(op->Reset("ZerosLike", /*raw_device_name=*/nullptr)); if (isa<tracing::TracingOperation>(op.get())) { TF_RETURN_IF_ERROR(dyn_cast<tracing::TracingOperation>(op.get())->SetOpName( absl::StrCat("ZerosLike", ToId(t)).c_str())); } TF_RETURN_IF_ERROR(op->AddInput(t)); int num_outputs = 1;
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 19.3K bytes - Viewed (0) -
tensorflow/c/eager/immediate_execution_tensor_handle.cc
shape_string = shape.DebugString(); } else { shape_string = "<error computing shape>"; } std::string value_string; if (!SummarizeValue(value_string).ok()) { value_string = "<error computing value>"; } if (value_string.length() > 100) { // The default NumPy-style output can be distractingly long in error // messages. value_string = absl::StrCat(value_string.substr(0, 100), " [...]"); }
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 2.1K bytes - Viewed (0) -
tensorflow/c/experimental/grappler/grappler.cc
OwnedTFStatus c_status(TF_NewStatus()); init_fn(¶ms, c_status.get()); TF_RETURN_IF_ERROR(tsl::StatusFromTF_Status(c_status.get())); TF_RETURN_IF_ERROR(ValidateTPOptimizerRegistrationParams(params)); TF_RETURN_IF_ERROR(ValidateTPOptimizer(optimizer)); TF_RETURN_IF_ERROR(ValidateTPOptimizerConfigs(optimizer_configs)); CGraphOptimizerRegister(
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/eager/c_api_experimental.h
TF_Status* status); // Report error (specified by error_code and error_message) to other tasks in // the cluster. TF_CAPI_EXPORT extern void TFE_ReportErrorToCluster(TFE_Context* ctx, int error_code, const char* error_message, TF_Status* status);
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Feb 21 22:37:46 GMT 2024 - 39.5K bytes - Viewed (0) -
tensorflow/c/experimental/gradients/array_grad_test.cc
absl::Span<AbstractTensorHandle* const> inputs, absl::Span<AbstractTensorHandle*> outputs) { std::vector<AbstractTensorHandle*> temp_outputs(2); TF_RETURN_IF_ERROR( ops::IdentityN(ctx, inputs, absl::MakeSpan(temp_outputs), "IdentityN")); // Although, `ops::IdentityN` returns 2 tensors, the first tensor isn't needed // for computing gradient so we could safely drop it.
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 5K bytes - Viewed (0) -
ci/official/wheel_test/update_requirements.sh
# script to run pip-compile for keras, tensorboard, estimator deps. # if there is a change in requirements.in then all lock files will be updated # accordingly. # -e: abort script if one command fails # -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
Shell Script - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Aug 31 18:17:57 GMT 2023 - 1.9K bytes - Viewed (0) -
tensorflow/c/experimental/grappler/BUILD
"//tensorflow/core/grappler/costs:graph_properties", "//tensorflow/core/grappler/inputs:trivial_test_graph_input_yielder", "//tensorflow/core/protobuf:error_codes_proto_impl_cc", ],
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) -
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) -
.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)