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ci/official/requirements_updater/updater.sh
A. Unique TensorFlower <******@****.***> 1708009195 -0800
Shell Script - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 15:05:45 GMT 2024 - 1.3K bytes - Viewed (0) -
ci/official/requirements_updater/updater_config_repository.bzl
REQUIREMENTS_FILE_NAME ''' def _updater_config_repository_impl(repository_ctx): repository_ctx.file("BUILD", "") requirements_file_name = repository_ctx.os.environ.get("REQUIREMENTS_FILE_NAME", "requirements.in") repository_ctx.file( "updater_config_repository.bzl", "REQUIREMENTS_FILE_NAME = \"%s\"" % requirements_file_name, ) updater_config_repository = repository_rule(
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tensorflow/c/experimental/filesystem/plugins/windows/windows_filesystem.cc
namespace tf_random_access_file { // TODO(b/139060984): Implement later } // namespace tf_random_access_file // SECTION 2. Implementation for `TF_WritableFile` // ---------------------------------------------------------------------------- namespace tf_writable_file { // TODO(b/139060984): Implement later } // namespace tf_writable_file // SECTION 3. Implementation for `TF_ReadOnlyMemoryRegion`
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tensorflow/c/eager/c_api.h
// Create a new TFE_TensorHandle with the same contents as 'h' but placed // in the memory of the device name 'device_name'. // If source and destination are the same device, then this creates a new handle // that shares the underlying buffer. Otherwise, it currently requires at least // one of the source or destination devices to be CPU (i.e., for the source or // destination tensor to be placed in host memory).
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ci/official/containers/linux_arm64/Dockerfile
COPY builder.devtoolset/gcc9-fixups.patch /gcc9-fixups.patch COPY builder.devtoolset/stringop_trunc.patch /stringop_trunc.patch RUN /build_devtoolset.sh devtoolset-10 /dt10 # Build later version of patchelf that is not so buggy COPY builder.patchelf/build_patchelf.sh /build_patchelf.sh COPY apt.conf /etc/apt/ RUN /build_patchelf.sh
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tensorflow/api_template.__init__.py
except (ImportError, AttributeError): pass del importlib # Delete modules that should be hidden from dir(). # Don't fail if these modules are not available. # For e.g. this file will be originally placed under tensorflow/_api/v1 which # does not have "python", "core" directories. Then, it will be copied # to tensorflow/ which does have these two directories. try: del python except NameError: pass try:
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tensorflow/c/experimental/filesystem/plugins/gcs/ram_file_block_cache.cc
lru_list_.erase(block->lru_iterator); lru_list_.push_front(key); block->lru_iterator = lru_list_.begin(); } // Check for inconsistent state. If there is a block later in the same file // in the cache, and our current block is not block size, this likely means // we have inconsistent state within the cache. Note: it's possible some // incomplete reads may still go undetected.
C++ - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Thu Jul 16 01:39:09 GMT 2020 - 11.1K bytes - Viewed (0) -
tensorflow/c/experimental/filesystem/plugins/gcs/ram_file_block_cache_test.cc
TF_EXPECT_OK(ReadCache(&cache, "", block_size, block_size, &out)); EXPECT_EQ(out.size(), 1); // Now read the first block; this should yield an INTERNAL error because we // had already cached a partial block at a later position. Status status = ReadCache(&cache, "", 0, block_size, &out); EXPECT_EQ(status.code(), error::INTERNAL); } TEST(RamFileBlockCacheTest, LRU) { const size_t block_size = 16;
C++ - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Fri Oct 15 03:16:57 GMT 2021 - 23.2K bytes - Viewed (0) -
tensorflow/c/experimental/filesystem/plugins/posix/copy_file.h
#include <sys/stat.h> namespace tf_posix_filesystem { // Transfers up to `size` bytes from `dst_fd` to `src_fd`. // // This method uses `sendfile` if available (i.e., linux 2.6.33 or later) or an // intermediate buffer if not. // // Returns number of bytes transferred or -1 on failure. int CopyFileContents(int dst_fd, int src_fd, off_t size); } // namespace tf_posix_filesystem
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tensorflow/c/eager/parallel_device/parallel_device.cc
if (*requested_placement == '\0') { TF_SetStatus( status, TF_INTERNAL, "Ops must be placed on the parallel device explicitly, or their inputs " "first un-packed. Got an un-placed op with an input placed on the " "parallel device."); return; } TFE_Context* context = TFE_OpGetContext(original_op, status);
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