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tensorflow/c/c_api.cc
const char* attr_name, const void* proto, size_t proto_len, TF_Status* status) { // shape.ParseFromArray takes an int as length, this function takes size_t, // make sure there is no information loss. if (proto_len > std::numeric_limits<int>::max()) { status->status = InvalidArgument( "proto_len (", proto_len,
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 102.3K bytes - Viewed (0) -
tensorflow/c/eager/c_api.cc
} std::vector<int64_t> dimvec(num_dims); for (int i = 0; i < num_dims; ++i) { dimvec[i] = static_cast<int64_t>(dims[i]); } // TODO(apassos) do we need to wrap the deallocator here to make sure to sync // the device? TF_ManagedBuffer* buf = new TF_ManagedBuffer(data, len, deallocator, deallocator_arg, /*owns_memory=*/false);
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/c_api_function_test.cc
Run({{func_feed, Int32Tensor(2)}}, func_op, 2 /*+=*/ + 5 + 1); // Verify input, output, and subset of edges in fdef. // The subset of edges we verify is a chain between feed1 and output to // make sure that the correct output is picked. tensorflow::FunctionDef fdef; ASSERT_TRUE(GetFunctionDef(func_, &fdef)); VerifyFDefInputs(fdef, M({{"feed1"}, {"feed2"}})); VerifyFDefOutputs(fdef, M({{"test_loop_exit"}}));
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Jul 20 22:08:54 GMT 2023 - 63.6K bytes - Viewed (6)