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tensorflow/c/eager/unified_api_testutil.h
std::unique_ptr<TF_Status, decltype(&TF_DeleteStatus)> status( TF_NewStatus(), TF_DeleteStatus); TFE_Context* eager_ctx = TF_ExecutionContextGetTFEContext(wrap(ctx), status.get()); TF_RETURN_IF_ERROR(StatusFromTF_Status(status.get())); TFE_TensorHandle* input_eager = TestTensorHandleWithDims<T, datatype>(eager_ctx, data, dims, num_dims); *tensor =
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Feb 27 13:57:45 GMT 2024 - 4K bytes - Viewed (0) -
tensorflow/c/experimental/gradients/nn_grad_test.cc
status_ = StatusFromTF_Status(status.get()); ASSERT_EQ(errors::OK, status_.code()) << status_.message(); { AbstractContext* ctx_raw = nullptr; status_ = BuildImmediateExecutionContext(std::get<1>(GetParam()), &ctx_raw); ASSERT_EQ(errors::OK, status_.code()) << status_.message(); immediate_execution_ctx_.reset(ctx_raw); }
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 8.3K bytes - Viewed (0) -
ci/official/envs/rbe
# is no --config setting), bazel would fail and quit. This script does a quick # check This script checks for such errors early if ! grep "rbe_$TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX" .bazelrc; then cat <<EOF ERROR: RBE was enabled via the 'rbe' env in the 'TFCI' variable. TFCI: $TFCI TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX is "$TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX".
Plain Text - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Jan 10 19:39:41 GMT 2024 - 2K bytes - Viewed (0) -
tensorflow/c/experimental/gradients/nn_grad.cc
// Recover data format from forward pass for gradient. std::string data_format; TF_RETURN_IF_ERROR(forward_attrs_.Get("data_format", &data_format)); // Grad for A grad_inputs[0] = upstream_grad; grad_inputs[0]->Ref(); // Grad for bias std::string name = "bias_add_grad"; TF_RETURN_IF_ERROR(BiasAddGrad(ctx, upstream_grad, &grad_inputs[1],
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 5.7K 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/eager/unified_api_testutil.cc
for (auto input : inputs) { TF_RETURN_IF_ERROR(fn_op->AddInput(input)); } int retvals = outputs.size() - null_indices.size(); std::vector<AbstractTensorHandle*> fn_outputs(retvals); TF_RETURN_IF_ERROR(fn_op->Execute( absl::Span<AbstractTensorHandle*>(fn_outputs.data(), fn_outputs.size()), &retvals)); int skipped_indices = 0;
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Feb 27 13:57:45 GMT 2024 - 5.7K bytes - Viewed (0) -
tensorflow/c/experimental/gradients/array_grad_test.cc
status_ = StatusFromTF_Status(status.get()); ASSERT_EQ(errors::OK, status_.code()) << status_.message(); { AbstractContext* ctx_raw = nullptr; status_ = BuildImmediateExecutionContext(std::get<1>(GetParam()), &ctx_raw); ASSERT_EQ(errors::OK, status_.code()) << status_.message(); immediate_execution_ctx_.reset(ctx_raw); }
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/tracing_utils.cc
#include "tensorflow/core/platform/errors.h" namespace tensorflow { namespace tracing { Status MaybeSetOpName(AbstractOperation* op, const char* op_name) { if (isa<TracingOperation>(op)) { TF_RETURN_IF_ERROR(dyn_cast<TracingOperation>(op)->SetOpName(op_name)); } if (isa<gradients::TapeOperation>(op)) { TF_RETURN_IF_ERROR(MaybeSetOpName(
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Feb 27 13:57:45 GMT 2024 - 1.4K bytes - Viewed (0) -
ci/official/requirements_updater/WORKSPACE
) updater_config_repository(name = "updater_config_repository") python_register_multi_toolchains( name = "python", default_version = default_python_version, ignore_root_user_error = True, python_versions = [ "3.9", "3.10", "3.11", "3.12", ], register_coverage_tool = True, )
Plain Text - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Apr 05 22:12:56 GMT 2024 - 1.6K bytes - Viewed (1) -
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)