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Results 1 - 6 of 6 for outputs_ (0.24 sec)
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tensorflow/cc/framework/gradients.cc
const std::vector<Output>& outputs, const std::vector<Output>& inputs, std::vector<Output>* grad_outputs) { std::vector<Output> grad_inputs; grad_inputs.reserve(outputs.size()); for (const Output& output : outputs) { grad_inputs.emplace_back(ops::OnesLike(scope, output)); }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Apr 13 05:57:22 UTC 2024 - 22K bytes - Viewed (0) -
tensorflow/c/while_loop_test.cc
params_->body_outputs[1] = params_->body_inputs[1]; // Finalize while loop ExpectOK(); // Validate while loop outputs returned by TF_FinishWhile() EXPECT_TRUE(outputs_[0].oper != nullptr); EXPECT_GE(outputs_[0].index, 0); EXPECT_TRUE(outputs_[1].oper != nullptr); EXPECT_GE(outputs_[1].index, 0); // Check that cond and body inputs are not present for (int i = 0; i < params_->ninputs; ++i) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 11 06:05:56 UTC 2024 - 15.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/api/v1/compile_tf_graph_test.cc
%outputs_2, %control_3 = tf_executor.island wraps "tf.XlaSpmdFullToShardShape"(%outputs_0) {dim = -1 : i64, manual_sharding = "\08\03\1A\02\02\01\22\02\00\01", unspecified_dims = []} : (tensor<2x2xf32>) -> tensor<1x2xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Apr 13 08:08:57 UTC 2024 - 11.7K bytes - Viewed (0) -
subprojects/core/src/integTest/groovy/org/gradle/api/tasks/TaskParametersIntegrationTest.groovy
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Tue May 28 09:03:53 UTC 2024 - 36.3K bytes - Viewed (0) -
manifests/addons/dashboards/lib/output.json
John Howard <******@****.***> 1717524306 -0700
Registered: Fri Jun 14 15:00:06 UTC 2024 - Last Modified: Tue Jun 04 18:05:06 UTC 2024 - 25.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/internal/mlir_bridge_pass_util_test.cc
const char* const code = R"mlir( module attributes {tf.versions = {bad_consumers = [], min_consumer = 0 : i32, producer = 268 : i32}} { func.func @main() { %outputs_0 = "tf.TPUOrdinalSelector"() {device = ""} : () -> tensor<?xi32> "tf.TPUPartitionedCall"(%outputs_0) {f = @reachable_func} : (tensor<?xi32>) -> () func.return } func.func @reachable_func() { func.return } } )mlir";
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Apr 17 19:51:50 UTC 2024 - 10.3K bytes - Viewed (0)