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CONTRIBUTING.md
you want to debug a kernel, you can compile specific files with `-g` using the `--per_file_copt` bazel option. For example, if you want to debug the Identity op, which are in files starting with `identity_op`, you can run ```bash bazel build --config=dbg --per_file_copt=+tensorflow/core/kernels/identity_op.*@-g //tensorflow/tools/pip_package:build_pip_package ```
Plain Text - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Thu Mar 21 11:45:51 GMT 2024 - 15.6K bytes - Viewed (0) -
tensorflow/c/eager/c_api_experimental.h
int bucket_count); TF_CAPI_EXPORT extern void TFE_MonitoringDeleteBuckets( TFE_MonitoringBuckets* buckets); // APIs for Sampler without label. typedef struct TFE_MonitoringSampler0 TFE_MonitoringSampler0; TF_CAPI_EXPORT extern TFE_MonitoringSampler0* TFE_MonitoringNewSampler0( const char* name, TFE_MonitoringBuckets* buckets, TF_Status* out_status, const char* description);
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Feb 21 22:37:46 GMT 2024 - 39.5K bytes - Viewed (0) -
tensorflow/c/eager/c_api_experimental.cc
int bucket_count) { return new TFE_MonitoringBuckets([scale, growth_factor, bucket_count]() { return tensorflow::monitoring::Buckets::Exponential(scale, growth_factor, bucket_count); }); } void TFE_MonitoringDeleteBuckets(TFE_MonitoringBuckets* buckets) { delete buckets;
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) -
tensorflow/c/eager/c_api.cc
LOG(WARNING) << "Unable to set attribute: " << attr_name; } } void TFE_OpSetAttrShape(TFE_Op* op, const char* attr_name, const int64_t* dims, const int num_dims, TF_Status* out_status) { out_status->status = tensorflow::unwrap(op)->SetAttrShape(attr_name, dims, num_dims); } void TFE_OpSetAttrFunction(TFE_Op* op, const char* attr_name, const TFE_Op* value) {
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Mar 12 20:00:09 GMT 2024 - 43.9K bytes - Viewed (2) -
tensorflow/c/eager/BUILD
], ) tf_cuda_cc_test( name = "c_api_remote_test", size = "medium", srcs = [ "c_api_remote_test.cc", ], # TODO(b/136478427): Figure out how to correctly shut the server down args = ["--heap_check="], tags = [ "no_windows", ], deps = [ ":c_api", ":c_api_experimental", ":c_api_internal",
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tensorflow/c/eager/tape.h
} } } auto usage_count_it = state.tensor_usage_counts.find(id); if (usage_count_it == state.tensor_usage_counts.end()) { VLOG(1) << "Tensor " << id << " not used"; continue; } usage_count_it->second--; if (usage_count_it->second > 0) { VLOG(1) << "Tensor " << id << " usage count " << usage_count_it->second; continue; }
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Apr 02 12:40:29 GMT 2024 - 47.2K bytes - Viewed (1) -
ci/official/utilities/code_check_full.bats
"@local_config_cuda//cuda:cusolver + "\ "@local_config_tensorrt//:tensorrt)" --keep_going > $BATS_TEST_TMPDIR/out cat <<EOF There was a path found connecting //tensorflow/tools/pip_package:wheel to a banned CUDA dependency. Here's the output from bazel query: EOF cat $BATS_TEST_TMPDIR/out [[ ! -s $BATS_TEST_TMPDIR/out ]] } @test "Pip package doesn't depend on CUDA for static builds (i.e. Windows)" { bazel cquery \
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tensorflow/c/c_api_experimental.cc
} auto* gpu_options = config.mutable_gpu_options(); gpu_options->set_allow_growth(gpu_memory_allow_growth); (*config.mutable_device_count())["CPU"] = num_cpu_devices; // TODO(b/113217601): This is needed for EagerContext::runner_ to use a // threadpool, so that we avoid the possibility of running the runner_ in the
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tensorflow/c/experimental/filesystem/plugins/posix/posix_filesystem.cc
if (r > 0) { dst += r; offset += static_cast<uint64_t>(r); n -= r; // safe as 0 < r <= n so n will never underflow read += r; } else if (r == 0) { TF_SetStatus(status, TF_OUT_OF_RANGE, "Read fewer bytes than requested"); break; } else if (errno == EINTR || errno == EAGAIN) { // Retry } else { TF_SetStatusFromIOError(status, errno, posix_file->filename); break;
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