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tensorflow/c/eager/unified_api_test.cc
ctx.reset(ctx_raw); } AbstractTensorHandlePtr x; { AbstractTensorHandle* x_raw = nullptr; float data[] = {0., 0., 0., 0., 0., 0., 0., 0}; int64_t dim_sizes[] = {2, 4}; Status s = TestTensorHandleWithDims<float, TF_FLOAT>(ctx.get(), data, dim_sizes, 2, &x_raw); ASSERT_EQ(errors::OK, s.code()) << s.message(); x.reset(x_raw);
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Feb 27 13:57:45 GMT 2024 - 6.7K bytes - Viewed (0) -
tensorflow/BUILD
"//tensorflow/core/config:flag_defs", "//tensorflow/core/config:flags", "//tensorflow/core/data/service:dispatcher_client", "//tensorflow/core/data/service:grpc_util", "//tensorflow/core/data/service:py_utils", "//tensorflow/core/data/service:server_lib", "//tensorflow/core/debug", "//tensorflow/core/distributed_runtime:server_lib",
Plain Text - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Apr 09 18:15:11 GMT 2024 - 53.4K bytes - Viewed (8) -
tensorflow/c/eager/unified_api_testutil.cc
} int retvals = outputs.size() - null_indices.size(); std::vector<AbstractTensorHandle*> fn_outputs(retvals); TF_RETURN_IF_ERROR(fn_op->Execute( absl::Span<AbstractTensorHandle*>(fn_outputs.data(), fn_outputs.size()), &retvals)); int skipped_indices = 0; for (int i = 0; i < outputs.size(); i++) { if (!null_indices.contains(i)) { outputs[i] = fn_outputs[i - skipped_indices];
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Feb 27 13:57:45 GMT 2024 - 5.7K bytes - Viewed (0) -
requirements_lock_3_11.txt
tblib==2.0.0 \ --hash=sha256:9100bfa016b047d5b980d66e7efed952fbd20bd85b56110aaf473cb97d18709a \ --hash=sha256:a6df30f272c08bf8be66e0775fad862005d950a6b8449b94f7c788731d70ecd7 # via -r requirements.in tensorboard-data-server==0.7.2 \ --hash=sha256:7e0610d205889588983836ec05dc098e80f97b7e7bbff7e994ebb78f578d0ddb \ --hash=sha256:9fe5d24221b29625dbc7328b0436ca7fc1c23de4acf4d272f1180856e32f9f60 \
Plain Text - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Apr 12 04:38:53 GMT 2024 - 43.8K bytes - Viewed (0) -
tensorflow/c/c_api_experimental.cc
} int TF_OpIsStateful(const char* op_type, TF_Status* status) { const tensorflow::OpRegistrationData* op_reg_data; status->status = tensorflow::OpRegistry::Global()->LookUp(op_type, &op_reg_data); if (!status->status.ok()) { return 0; } return op_reg_data->op_def.is_stateful(); } void TF_InitMain(const char* usage, int* argc, char*** argv) {
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 29.4K bytes - Viewed (0) -
tensorflow/c/experimental/filesystem/plugins/posix/posix_filesystem.cc
plugin_memory_allocate(TF_READ_ONLY_MEMORY_REGION_OPS_SIZE)); ops->read_only_memory_region_ops->cleanup = tf_read_only_memory_region::Cleanup; ops->read_only_memory_region_ops->data = tf_read_only_memory_region::Data; ops->read_only_memory_region_ops->length = tf_read_only_memory_region::Length; ops->filesystem_ops = static_cast<TF_FilesystemOps*>( plugin_memory_allocate(TF_FILESYSTEM_OPS_SIZE));
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) -
.bazelrc
build:windows --host_copt=/d2ReducedOptimizeHugeFunctions # Enable the runfiles symlink tree on Windows. This makes it possible to build # the pip package on Windows without an intermediate data-file archive, as the # build_pip_package script in its current form (as of Aug 2023) uses the # runfiles symlink tree to decide what to put into the Python wheel. startup --windows_enable_symlinks
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tensorflow/c/eager/tape.h
#ifndef TENSORFLOW_C_EAGER_TAPE_H_ #define TENSORFLOW_C_EAGER_TAPE_H_ // Language-agnostic gradient tape. Does not perform backpropagation, just // maintains the data structures required to do so. #include <stack> #include <unordered_map> #include <unordered_set> #include <vector> #include "tensorflow/core/config/flag_defs.h" #include "tensorflow/core/config/flags.h"
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) -
tensorflow/c/c_api_function.cc
#include "tensorflow/core/framework/types.h" #include "tensorflow/core/graph/graph.h" #include "tensorflow/core/platform/base64.h" #include "tensorflow/core/platform/strcat.h" #include "tensorflow/core/util/debug_data_dumper.h" using tensorflow::errors::InvalidArgument; namespace tensorflow { namespace { Status ValidateNonRefOutput(const Node* node, int idx) { const DataType& dt = node->output_type(idx);
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 13.6K bytes - Viewed (2) -
requirements_lock_3_12.txt
tblib==2.0.0 \ --hash=sha256:9100bfa016b047d5b980d66e7efed952fbd20bd85b56110aaf473cb97d18709a \ --hash=sha256:a6df30f272c08bf8be66e0775fad862005d950a6b8449b94f7c788731d70ecd7 # via -r requirements.in tensorboard-data-server==0.7.2 \ --hash=sha256:7e0610d205889588983836ec05dc098e80f97b7e7bbff7e994ebb78f578d0ddb \ --hash=sha256:9fe5d24221b29625dbc7328b0436ca7fc1c23de4acf4d272f1180856e32f9f60 \
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