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Results 1 - 4 of 4 for tfdtype$DT_INT32 (0.31 sec)
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tensorflow/compiler/mlir/tensorflow/tests/replicate_invariant_op_hoisting.mlir
func.func @replicate_arg_shape(%arg0: tensor<*xf32>, %arg1: tensor<*xf32>) { %0:4 = tf_device.replicate([%arg0, %arg1] as %ri: tensor<*xf32>) {n = 2: i32} { %1 = "tf.Shape"(%ri) {device = "", T = "tfdtype$DT_FLOAT", out_type = "tfdtype$DT_INT32"} : (tensor<*xf32>) -> tensor<?xi32> %2 = "tf.opA"(%1, %ri) : (tensor<?xi32>, tensor<*xf32>) -> tensor<*xi32> tf_device.return %1, %2 : tensor<?xi32>, tensor<*xi32> } func.return }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Oct 31 08:59:10 UTC 2023 - 11.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/constant-fold.mlir
%0 = "tf.Shape"(%arg0) {T = "tfdtype$DT_FLOAT", output = "tfdtype$DT_INT32"} : (tensor<f32>) -> tensor<0xi32> // Result shape need not be static. Folding harness uses TensorFlow constant // in that case. // CHECK-DAG: "tf.Const"() <{value = dense<[1, 32, 32, 16]> : tensor<4xi32>}> : () -> tensor<?xi32> %1 = "tf.Shape"(%arg1) {T = "tfdtype$DT_FLOAT", output = "tfdtype$DT_INT32"} : (tensor<1x32x32x16xf32>) -> tensor<?xi32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jan 31 23:22:24 UTC 2024 - 36.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/lower-static-tensor-list.mlir
%cst_1 = arith.constant dense<-1> : tensor<i32> %0 = "tf.TensorListFromTensor"(%arg0, %cst) : (tensor<2x3xf32>, tensor<1xi32>) -> tensor<!tf_type.variant<tensor<3xf32>>> %1:2 = "tf.While"(%cst_0, %0) {T = ["tfdtype$DT_INT32", "tfdtype$DT_VARIANT"], body = @tensorlistWhileBody, cond = @tensorlistWhileCond, is_stateless = false} : (tensor<i32>, tensor<!tf_type.variant<tensor<3xf32>>>) -> (tensor<i32>, tensor<!tf_type.variant<tensor<*xf32>>>)
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 39.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/ir/tf_executor_ops.td
REGISTER_OP("Exit") .Input("data: T") .Output("output: T") .Attr("T: type") For example: %1:2 = tf_executor.Exit %0#0 : tensor<*xi32> {T: "tfdtype$DT_INT32"} Note: Additional result corresponds to the control output. }]; let arguments = (ins AnyType:$data, Variadic<TfeControlType>:$controlInputs ); let results = (outs
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Feb 23 19:35:12 UTC 2023 - 22K bytes - Viewed (0)