- Sort Score
- Result 10 results
- Languages All
Results 1 - 10 of 27 for 2x1xi32 (0.26 sec)
-
tensorflow/compiler/mlir/tfrt/tests/saved_model/testdata/test.mlir
"tf_saved_model.global_tensor"() {is_mutable, sym_name = "y", type = tensor<3x1xi32>, value = dense<[[1], [2], [3]]> : tensor<3x1xi32>} : () -> () "tf_saved_model.asset"() {sym_name = "z", filename = "file"} : () -> () func.func @serving_default( %arg0: tensor<1x3xi32> {tf_saved_model.index_path = ["x"]}, %arg1: tensor<!tf_type.resource<tensor<3x1xi32>>> {tf_saved_model.bound_input = @y},
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Mar 25 11:03:04 UTC 2022 - 1.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/mlir2graphdef/tf_identity_n.mlir
func.func @main() -> tensor<2x3xi32> { %graph = tf_executor.graph { %0:2 = tf_executor.island wraps "tf.Const"() {value = dense<5> : tensor<2x3xi32>} : () -> tensor<2x3xi32> loc("Const0") %1:2 = tf_executor.island wraps "tf.Const"() {value = dense<4.2> : tensor<4x5xf32>} : () -> tensor<4x5xf32> loc("Const1")
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Mar 25 12:28:56 UTC 2022 - 1014 bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/call_xla_module_to_stablehlo.mlir
%outputs_9, %control_10 = tf_executor.island(%control_4) wraps "tf.Identity"(%outputs_7) {device = ""} : (tensor<2x3xi32>) -> tensor<2x3xi32> tf_executor.fetch %outputs_9 : tensor<2x3xi32> } return %0 : tensor<2x3xi32> } } // CHECK: module attributes // CHECK-SAME: tfl.metadata = {{{.*}}keep_stablehlo_constant = "true"{{.*}}}
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jan 31 21:25:51 UTC 2024 - 3.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/experimental/tac/tests/e2e/simple-graph.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 1.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfrt/tests/tf_to_corert/batch_function_deduplicate_failed.mlir
func.return %0#0 : tensor<*xi32> } // compute_3 has different argument types from compute_1, thus error is reported. // CHECK: error: func_ops for BatchFunctionOp with the same shared name are different func.func private @compute_3(%arg0: tensor<?x1xi32> {tf._user_specified_name = "0"}, %arg1: tensor<?x1xi32>) -> (tensor<?x1xi32>, tensor<?x1xi32>) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Aug 14 15:35:49 UTC 2023 - 2.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/default_quant_params.mlir
// CHECK-LABEL: hardcode_all func.func @hardcode_all(%arg0: tensor<2x2xf32>, %arg1: tensor<2x1xf32>) -> tensor<2x2xf32> { %0 = "tfl.add"(%arg0, %arg1) {fused_activation_function="NONE"}: (tensor<2x2xf32>, tensor<2x1xf32>) -> tensor<2x2xf32> func.return %0 : tensor<2x2xf32> // CHECK: %[[q0:.*]] = "tfl.quantize"(%arg1) <{qtype = tensor<2x1x!quant.uniform<u8:f32, 0.0078431372549019607:128>>}>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 8.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfrt/tests/tfrt_fallback/batching_fallback.mlir
%ch0 = tfrt.new.chain %a1 = tfrt_fallback_async.const_dense_tensor dense<[[2, 2], [2, 2]]> : tensor<2x2xi32> %a2 = tfrt_fallback_async.const_dense_tensor dense<[[3, 3], [3, 3]]> : tensor<2x2xi32> %b = tfrt_fallback_async.const_dense_tensor dense<[[1, 1], [1, 1]]> : tensor<2x2xi32> // Two batch_size=2 batches get concatenated.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jul 18 22:58:56 UTC 2023 - 8.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tf_saved_model_remove_vars_in_session_initializer.mlir
%0 = "tf.VarHandleOp"() {container = "c", shared_name = "v"} : () -> tensor<*x!tf_type.resource<tensor<2x8xi32>>> %1 = "tf.VarHandleOp"() {container = "c", shared_name = "w"} : () -> tensor<*x!tf_type.resource<tensor<2xi32>>> %2 = "tf.Const"() {value = dense<1> : tensor<i32>} : () -> tensor<i32> %3 = "tf.Const"() {value = dense<1> : tensor<i32>} : () -> tensor<i32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Mar 02 00:22:36 UTC 2023 - 5.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/optimize_batch_matmul.mlir
%3 = "tfl.batch_matmul"(%arg0, %2) {adj_x = false, adj_y = false, asymmetric_quantize_inputs = false} : (tensor<4x128x2xf32>, tensor<2x1xf32>) -> tensor<4x128x1xf32> func.return %3 : tensor<4x128x1xf32> // CHECK: %[[TRANSPOSED_X:.*]] = "tfl.transpose" // CHECK-SAME: (tensor<2x1xf32>, tensor<2xi32>) -> tensor<1x2xf32> // CHECK: %[[FC_RES:.*]] = "tfl.fully_connected"(%arg0, %[[TRANSPOSED_X]]
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 9K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/experimental/tac/tests/e2e/device-transform-nnapi.mlir
} // CHECK-LABEL: pack func.func @pack(%arg0: tensor<1xf32>, %arg1: tensor<1xf32>) -> tensor<2x1xf32> { %0 = "tfl.pack"(%arg0, %arg1) {axis = 0 : i32, values_count = 2 : i32} : (tensor<1xf32>, tensor<1xf32>) -> tensor<2x1xf32> func.return %0 : tensor<2x1xf32> // CHECK: %[[VAL_0:.*]] = arith.constant dense<[2, 1]> : tensor<2xi32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 1.2K bytes - Viewed (0)