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Results 1 - 4 of 4 for 1x1x2xf32 (0.19 sec)
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tensorflow/compiler/mlir/lite/tests/legalize-tf.mlir
// CHECK: return } func.func @pow(%arg0: tensor<2x1x3xf32>, %arg1: tensor<2x1x1xf32>) -> tensor<2x1x3xf32> { %0 = "tf.Pow"(%arg0, %arg1) : (tensor<2x1x3xf32>, tensor<2x1x1xf32>) -> tensor<2x1x3xf32> func.return %0 : tensor<2x1x3xf32> // CHECK-LABEL: pow // CHECK: %[[pow:.*]] = tfl.pow(%arg0, %arg1) : (tensor<2x1x3xf32>, tensor<2x1x1xf32>) -> tensor<2x1x3xf32> // CHECK: return }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 05 01:54:33 UTC 2024 - 153.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/api/v2/legalize_tf_test.cc
func.func @main() -> (tensor<1x4x4xf32>) { %%arg0 = "tf.Const"() {value = dense<-3.0> : tensor<1x4x2xf32>} : () -> tensor<1x4x2xf32> %%arg1 = "tf.Const"() {value = dense<-3.0> : tensor<1x2x4xf32>} : () -> tensor<1x2x4xf32> %%1 = "tf.%s"(%%arg0, %%arg1) {T = f32, adj_x = false, adj_y = false, grad_x = false, grad_y = false, device = ""} : (tensor<1x4x2xf32>, tensor<1x2x4xf32>) -> tensor<1x4x4xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 13 23:59:33 UTC 2024 - 16.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/composite-lowering.mlir
// CHECK{LITERAL}: %cst_1 = arith.constant dense<[[[[1.000000e+00], [1.250000e+00]]]]> : tensor<1x1x2x1xf32> // CHECK: %3 = tfl.mul %2, %cst_1 {fused_activation_function = "NONE"} : tensor<1x1x2x1xf32> // CHECK: %cst_2 = arith.constant dense<[0, 3, 1, 2]> : tensor<4xi32> // CHECK: %4 = "tfl.transpose"(%3, %cst_2) : (tensor<1x1x2x1xf32>, tensor<4xi32>) -> tensor<1x1x1x2xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 06 18:45:51 UTC 2024 - 32.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/ops.mlir
// test Pad with invalid paddings rank func.func @testPadWithInvalidPaddingsRank(tensor<2x1x3xf32>, tensor<1x3x2xi32>) -> tensor<? x f32> { ^bb0(%arg0: tensor<2x1x3xf32>, %arg1: tensor<1x3x2xi32>): // expected-error @+1 {{'tfl.pad' op failed to verify that operand 1 is 2-D}} %0 = "tfl.pad"(%arg0, %arg1) : (tensor<2x1x3xf32>, tensor<1x3x2xi32>) -> tensor<? x f32> func.return %0#0 : tensor<? x f32> } // -----
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 06 19:09:08 UTC 2024 - 189.2K bytes - Viewed (0)