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Results 1 - 8 of 8 for consistent (0.2 sec)
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tensorflow/c/experimental/filesystem/plugins/posix/posix_filesystem.cc
auto posix_file = static_cast<PosixFile*>(file->plugin_file); close(posix_file->fd); // This would be safe to free using `free` directly as it is only opaque. // However, it is better to be consistent everywhere. plugin_memory_free(const_cast<char*>(posix_file->filename)); delete posix_file; } static int64_t Read(const TF_RandomAccessFile* file, uint64_t offset, size_t n,
C++ - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Sun Mar 24 20:08:23 GMT 2024 - 15.8K bytes - Viewed (0) -
tensorflow/c/experimental/gradients/tape/tape_operation.cc
// attributes. Number type attrs and DataType attrs work fine without this. // Consider getting rid of this and making the behavior between number types // and string consistent. forward_op_.attrs.BuildNodeDef(); // TODO(b/170307493): Populate skip_input_indices here. std::unique_ptr<GradientFunction> backward_fn; TF_RETURN_IF_ERROR(registry_.Lookup(forward_op_, &backward_fn));
C++ - Registered: Tue Feb 27 12:39:08 GMT 2024 - Last Modified: Tue Jun 07 01:53:35 GMT 2022 - 9K bytes - Viewed (1) -
tensorflow/c/eager/parallel_device/parallel_device_lib.cc
const int in_flight_nodes_limit) : status_(TF_NewStatus()), // If the context's default exector is set to async, re-using that in // each thread would cause collectives to deadlock. For consistency we // create a new sync executor for every thread. // // TODO(allenl): We should have an async API that works with the // parallel device. device_(device), executor_(
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Feb 09 07:47:20 GMT 2024 - 25.4K bytes - Viewed (1) -
tensorflow/c/eager/gradients.cc
// attributes. Number type attrs and DataType attrs work fine without this. // Consider getting rid of this and making the behavior between number types // and string consistent. forward_op_->attrs.BuildNodeDef(); std::unique_ptr<GradientFunction> gradient_fn; TF_RETURN_IF_ERROR(registry.Lookup(*forward_op_, &gradient_fn));
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/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. if (block->data.size() < block_size_) {
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
second_block = false; TF_EXPECT_OK(ReadCache(&cache, "", block_size, block_size, &out)); EXPECT_FALSE(second_block); EXPECT_EQ(out.size(), file_size - block_size); } TEST(RamFileBlockCacheTest, Inconsistent) { // Tests the detection of interrupted reads leading to partially filled blocks // where we expected complete blocks. 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/eager/c_api_unified_experimental_graph.cc
return errors::FailedPrecondition( "GraphOperation::Reset must be called before calling SetOpName."); } // TODO(b/145674566): We use Graph::NewName to get a unique name here but // this may not be consistent with python's naming policy. mutex_lock l(g_->mu); op_.reset(new TF_OperationDescription(g_, op_type_.c_str(), g_->graph.NewName(op_name).c_str()));
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Mar 12 20:00:09 GMT 2024 - 15.4K bytes - Viewed (1) -
tensorflow/c/experimental/filesystem/plugins/gcs/gcs_filesystem.cc
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Aug 23 06:55:53 GMT 2023 - 46.9K bytes - Viewed (0)