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tensorflow/c/experimental/filesystem/filesystem_interface.h
/// that plugins provide (some are mandatory, some are optional, with or without /// a default implementation). /// /// Each plugin implements the operations that are supported and TensorFlow will /// properly handle the cases when an operation is not supported (i.e., return /// the corresponding `Status` value). /// /// REQUIRED OPERATIONS: All required operations are marked as such, including
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri May 27 17:36:54 GMT 2022 - 53.1K bytes - Viewed (0) -
ci/official/containers/linux_arm64/builder.devtoolset/gcc9-fixups.patch
{ @@ -332,6 +333,7 @@ unsetenv (const char *name) } else ++ep; + } UNLOCK; diff --git a/support/Makefile b/support/Makefile index a253698..2f4e2a9 100644 --- a/support/Makefile +++ b/support/Makefile @@ -167,13 +167,6 @@ CFLAGS-support_paths.c = \ -DINSTDIR_PATH=\"$(prefix)\" \ -DLIBDIR_PATH=\"$(libdir)\" -ifeq (,$(CXX)) -LINKS_DSO_PROGRAM = links-dso-program-c
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ci/official/requirements_updater/updater.sh
# accordingly # All commands run relative to this directory cd "$(dirname "${BASH_SOURCE[0]}")" mv BUILD.bazel BUILD SUPPORTED_VERSIONS=("3_9" "3_10" "3_11" "3_12") for VERSION in "${SUPPORTED_VERSIONS[@]}" do touch "requirements_lock_$VERSION.txt" bazel run \ --experimental_convenience_symlinks=ignore \ --enable_bzlmod=false \
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ci/official/envs/linux_arm64
TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX=linux_arm64 # Note: this is not set to "--cpu", because that changes the package name # to tensorflow_cpu. These ARM builds are supposed to have the name "tensorflow" # despite lacking Nvidia CUDA support. TFCI_BUILD_PIP_PACKAGE_ARGS="--repo_env=WHEEL_NAME=tensorflow" TFCI_DOCKER_ENABLE=1 TFCI_DOCKER_IMAGE=gcr.io/tensorflow-sigs/build-arm64:tf-2-16-multi-python TFCI_DOCKER_PULL_ENABLE=1
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tensorflow/c/experimental/filesystem/plugins/windows/windows_filesystem.cc
#include <string.h> #include "tensorflow/c/experimental/filesystem/filesystem_interface.h" #include "tensorflow/c/tf_status.h" // Implementation of a filesystem for POSIX environments. // This filesystem will support `file://` and empty (local) URI schemes. static void* plugin_memory_allocate(size_t size) { return calloc(1, size); } static void plugin_memory_free(void* ptr) { free(ptr); }
C++ - Registered: Tue Apr 09 12:39:09 GMT 2024 - Last Modified: Fri May 27 20:21:15 GMT 2022 - 2.6K bytes - Viewed (0) -
tensorflow/c/eager/dlpack.cc
tensorflow::TensorHandleFromInterface(tensorflow::unwrap(h)); if (handle->Type() != TensorHandle::LOCAL) { status->status = tensorflow::errors::InvalidArgument( "DLPack doesn't support ", handle->TypeString(), " tensor"); return nullptr; } const tensorflow::Tensor* tensor; status->status = handle->Tensor(&tensor); if (!status->status.ok()) { return nullptr; } return tensor;
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.github/workflows/scorecards-analysis.yml
# limitations under the License. # ============================================================================ name: Scorecards supply-chain security on: # Only the default branch is supported. branch_protection_rule: schedule: - cron: '44 15 * * 5' push: branches: [ master ] # Declare default permissions as read only. permissions: read-all jobs: analysis:
Others - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Wed Dec 21 23:56:23 GMT 2022 - 2.4K bytes - Viewed (0) -
tensorflow/c/c_api.cc
if (run_metadata != nullptr) { status->status = MessageToBuffer(run_metadata_proto, run_metadata); if (!status->status.ok()) return; } } else { // NOTE(zongheng): PRun does not support RunOptions yet. result = session->PRun(handle, input_pairs, output_tensor_names, &outputs); } if (!result.ok()) { status->status = result; return; } // Store results in c_outputs[]
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 102.3K bytes - Viewed (0) -
tensorflow/c/experimental/gradients/nn_grad.cc
absl::Span<AbstractTensorHandle*> outputs) { if (!isa<ImmediateExecutionContext>(ctx)) { // TODO(b/168850692): Fix this. return errors::Unimplemented( "BroadcastMul is not supported in tracing mode yet."); } auto imm_ctx = dyn_cast<ImmediateExecutionContext>(ctx); AbstractTensorPtr minus_1(imm_ctx->CreateInt32Scalar(-1)); ImmediateTensorHandlePtr dim(imm_ctx->CreateLocalHandle(minus_1.get()));
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.github/bot_config.yml
* 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). -----------------------------------------------------------------------------------------------
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