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ci/official/envs/linux_x86_cuda
TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX=linux_cuda TFCI_BUILD_PIP_PACKAGE_ARGS="--repo_env=WHEEL_NAME=tensorflow" TFCI_DOCKER_ARGS="--gpus all" TFCI_LIB_SUFFIX="-gpu-linux-x86_64"
Plain Text - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Jan 19 00:24:30 GMT 2024 - 1K bytes - Viewed (0) -
tensorflow/c/eager/c_api_experimental_test.cc
TFE_DeleteContextOptions(opts); TFE_Executor* executor = TFE_NewExecutor( /*is_async=*/false, /*enable_streaming_enqueue=*/true, /*in_flight_nodes_limit=*/0); TFE_ContextSetExecutorForThread(ctx, executor); TFE_DeleteContext(ctx); TFE_DeleteExecutor(executor); } { TFE_ContextOptions* opts = TFE_NewContextOptions();
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Aug 03 03:14:26 GMT 2023 - 31.5K bytes - Viewed (1) -
ci/official/envs/linux_arm64
TFCI_INDEX_HTML_ENABLE=1 TFCI_LIB_SUFFIX="-cpu-linux-arm64" TFCI_OUTPUT_DIR=build_output TFCI_WHL_AUDIT_ENABLE=1 TFCI_WHL_AUDIT_PLAT=manylinux2014_aarch64 TFCI_WHL_BAZEL_TEST_ENABLE=1 TFCI_WHL_SIZE_LIMIT=240M
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.github/bot_config.yml
*Please let us know if this helps.* windows_comment: > From the stack trace it looks like you are hitting windows path length limit. * Try to disable path length limit on Windows 10. * Refer [disable path length limit instructions guide.](https://mspoweruser.com/ntfs-260-character-windows-10/)
Others - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Tue Oct 17 11:48:07 GMT 2023 - 4K bytes - Viewed (0) -
ci/official/envs/macos_x86_cross_compile
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tensorflow/c/eager/c_api_experimental.h
// executed in sequence. Assigning nodes to different executors allows executing // nodes in parallel. // in_flight_nodes_limit: when is_async is true, this value controls the // maximum number of in flight async nodes. Enqueuing of additional async ops // after the limit is reached blocks until some inflight nodes finishes. // The effect is bounding the memory held by inflight TensorHandles that are
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tensorflow/c/eager/gradients.cc
return errors::InvalidArgument("Value specified for `", attr_name, "` has ", num_dims, " dimensions which is over the limit of ", TensorShape::MaxDimensions(), "."); } TensorShapeProto proto; if (num_dims < 0) { proto.set_unknown_rank(true); } else {
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tensorflow/c/c_api.cc
TF_DEVICELIST_METHOD(const char*, TF_DeviceListType, device_type().c_str(), nullptr); TF_DEVICELIST_METHOD(int64_t, TF_DeviceListMemoryBytes, memory_limit(), -1); TF_DEVICELIST_METHOD(uint64_t, TF_DeviceListIncarnation, incarnation(), 0); #undef TF_DEVICELIST_METHOD } // end extern "C"
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ci/official/utilities/rename_and_verify_wheels.sh
fi # Check if size is too big. TFCI_WHL_SIZE_LIMIT is in find's format, which can be # 'k' for kilobytes, 'M' for megabytes, or 'G' for gigabytes, and the + to indicate # "anything greater than" is added by the script. if [[ "$TFCI_WHL_SIZE_LIMIT_ENABLE" == "1" ]] && [[ -n "$(find . -iname "*.whl" -size "+$TFCI_WHL_SIZE_LIMIT")" ]]; then echo "Error: Generated wheel is too big! Limit is $TFCI_WHL_SIZE_LIMIT"
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tensorflow/c/eager/c_api_experimental.cc
status->status = absl::OkStatus(); } TFE_Executor* TFE_NewExecutor(bool is_async, bool enable_streaming_enqueue, int in_flight_nodes_limit) { return new TFE_Executor(is_async, enable_streaming_enqueue, in_flight_nodes_limit); } void TFE_DeleteExecutor(TFE_Executor* executor) { delete executor; } bool TFE_ExecutorIsAsync(TFE_Executor* executor) {
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Apr 11 23:52:39 GMT 2024 - 35.9K bytes - Viewed (3)