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tensorflow/c/experimental/grappler/grappler.h
// nodes, keep_ops, init_ops. Fills in `values` and `lengths`, each of which // must point to an array of length at least `num_values`. // // The elements of values will point to addresses in `storage` which must be at // least `storage_size` bytes in length. `num_values` and `storage` can be // obtained from TF_GetNodesToPreserveSize //
C - Registered: Tue Feb 27 12:39:08 GMT 2024 - Last Modified: Wed Aug 03 18:08:43 GMT 2022 - 12.5K bytes - Viewed (0) -
RELEASE.md
## Known Bugs * Using XLA:GPU with CUDA 9 and CUDA 9.1 results in garbage results and/or `CUDA_ILLEGAL_ADDRESS` failures. Google discovered in mid-December 2017 that the PTX-to-SASS compiler in CUDA 9 and CUDA 9.1 sometimes does not properly compute the carry bit when decomposing 64-bit address calculations with large offsets (e.g. `load [x + large_constant]`) into 32-bit arithmetic in SASS.
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tensorflow/c/c_api.h
// of stdbool.h is avoided and unsigned char is used instead. // * size_t is used to represent byte sizes of objects that are // materialized in the address space of the calling process. // * int is used as an index into arrays. // * Deletion functions are safe to call on nullptr. // // Questions left to address: // * Might at some point need a way for callers to provide their own Env. // * Maybe add TF_TensorShape that encapsulates dimension info. //
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ISSUES.md
**Here's why we have this policy:** We want to focus on the work that benefits the whole community, e.g., fixing bugs and adding features. Individual support should be sought on Stack Overflow or other non-GitHub channels. It helps us to
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.github/ISSUE_TEMPLATE/tflite-other.md
Request - Documentation Bug - Others validations: required: true - type: markdown attributes: value: | Please make sure that this is a bug. As per our [GitHub Policy](https://github.com/tensorflow/tensorflow/blob/master/ISSUES.md),we only address code/doc bugs, performance issues, feature requests and build/installation issues on GitHub. - type: markdown attributes: value: |
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CODE_OF_CONDUCT.md
If you are experiencing or witnessing conflict, we ask you to use the following escalation strategy to address the conflict: 1. Address the perceived conflict directly with those involved, preferably in a real-time medium. 2. If this fails, get a third party (e.g. a mutual friend, and/or someone with
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ci/official/containers/linux_arm64/builder.devtoolset/gcc9-fixups.patch
+++ b/sysdeps/aarch64/dl-machine.h @@ -49,23 +49,11 @@ elf_machine_load_address (void) /* To figure out the load address we use the definition that for any symbol: dynamic_addr(symbol) = static_addr(symbol) + load_addr - The choice of symbol is arbitrary. The static address we obtain - by constructing a non GOT reference to the symbol, the dynamic - address of the symbol we compute using adrp/add to compute the
Others - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Mon Sep 18 14:52:45 GMT 2023 - 8.9K bytes - Viewed (0) -
tensorflow/c/eager/c_api.h
// // Like a TF_Tensor, a TFE_TensorHandle refers to a tensor with a value, shape, // type etc. Unlike a TF_Tensor, a TFE_TensorHandle may refer to such tensors // placed in the memory of different devices or remote address spaces. typedef struct TFE_TensorHandle TFE_TensorHandle; TF_CAPI_EXPORT extern TFE_TensorHandle* TFE_NewTensorHandle(const TF_Tensor* t, TF_Status* status);
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.github/ISSUE_TEMPLATE/tensorflow_issue_template.yaml
required: true - type: markdown attributes: value: | Please make sure that this is a bug. As per our [GitHub Policy](https://github.com/tensorflow/tensorflow/blob/master/ISSUES.md), we only address code/doc bugs, performance issues, feature requests and build/installation issues on GitHub. - type: dropdown id: tf-nightly attributes: label: Have you reproduced the bug with TensorFlow Nightly?
Others - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Wed Jun 28 18:25:42 GMT 2023 - 3.7K bytes - Viewed (0) -
tensorflow/c/eager/parallel_device/parallel_device.cc
// // TODO(allenl): There are some use-cases that are only supported by copying to // host at the moment (e.g. debug print on a tensor, .numpy(), etc.). We either // need to return something here or address these use-cases one by one. TFE_TensorHandle* CopyTensorFromParallelDevice(TFE_Context* context, TFE_TensorHandle* tensor,
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