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Results 1 - 6 of 6 for val2 (0.18 sec)
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tensorflow/c/c_api.cc
using tensorflow::RecordMutation; tensorflow::AttrValue attr_val; if (!attr_val.ParseFromArray(attr_value_proto->data, attr_value_proto->length)) { status->status = absl::InvalidArgumentError("Invalid AttrValue proto"); return; } mutex_lock l(graph->mu); op->node.AddAttr(attr_name, attr_val); RecordMutation(graph, *op, "setting attribute"); }
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/gradient_checker.cc
AbstractTensorHandlePtr sum_dims; { vector<int32_t> vals(num_dims_out); int64_t vals_shape[] = {num_dims_out}; Range(&vals, 0, num_dims_out); AbstractTensorHandle* sum_dims_raw = nullptr; TF_RETURN_IF_ERROR(TestTensorHandleWithDims<int32_t, TF_INT32>( ctx, vals.data(), vals_shape, 1, &sum_dims_raw)); sum_dims.reset(sum_dims_raw); }
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 7.3K bytes - Viewed (0) -
tensorflow/c/experimental/gradients/nn_grad_test.cc
auto ReluGradModel = BuildGradModel(ReluModel, registry_); float X_vals[] = {1.0f, 2.0f, 3.0f, -5.0f, -4.0f, -3.0f, 2.0f, 10.0f, -1.0f}; int64_t X_dims[] = {3, 3}; AbstractTensorHandlePtr X; { AbstractTensorHandle* X_raw; status_ = TestTensorHandleWithDims<float, TF_FLOAT>( immediate_execution_ctx_.get(), X_vals, X_dims, 2, &X_raw); ASSERT_EQ(errors::OK, status_.code()) << status_.message();
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 8.3K bytes - Viewed (0) -
tensorflow/c/experimental/filesystem/modular_filesystem.cc
for (size_t i = 0; i < values.size(); i++) { memset(&option_values[i], 0, sizeof(option_values[i])); option_values[i].buffer_val.buf = const_cast<char*>(values[i].c_str()); option_values[i].buffer_val.buf_length = values[i].size(); } option_value.values = &option_values[0]; option.value = &option_value; UniquePtrTo_TF_Status plugin_status(TF_NewStatus(), TF_DeleteStatus);
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Sep 06 19:12:29 GMT 2023 - 23.1K bytes - Viewed (0) -
tensorflow/c/c_api_test.cc
// | | // Const_0 Const_1 // const float const0_val[] = {1.0, 2.0, 3.0, 4.0}; const float const1_val[] = {1.0, 0.0, 0.0, 1.0}; TF_Operation* const0 = FloatConst2x2(graph_, s_, const0_val, "Const_0"); TF_Operation* const1 = FloatConst2x2(graph_, s_, const1_val, "Const_1"); TF_Operation* matmul = MatMul(graph_, s_, const0, const1, "MatMul");
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 96.9K bytes - Viewed (3) -
tensorflow/c/eager/c_api_test.cc
// 1. Create a variable on `remote_device`, using `ctx_0`. TFE_TensorHandle* handle_0 = CreateVariable(ctx_0, 1.2, remote_device, /*variable_name=*/"var2"); // 2. Wait for `var2` to be created and initialized on the worker. TF_Status* status = TF_NewStatus(); TFE_ContextAsyncWait(ctx_0, status); EXPECT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Aug 03 20:50:20 GMT 2023 - 94.6K bytes - Viewed (1)