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Results 41 - 50 of 150 for 64xf32 (1.05 sec)
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tensorflow/compiler/mlir/tensorflow/tests/while_licm.mlir
// Some loop invariant math %li0 = "tf.Div"(%a, %b) : (tensor<4xf32>, tensor<4xf32>) -> tensor<4xf32> %cst = arith.constant dense<22.0> : tensor<f32> %li1 = "tf.Mul"(%li0, %cst) : (tensor<4xf32>, tensor<f32>) -> tensor<4xf32> %final = "tf.Add"(%add, %li1) : (tensor<4xf32>, tensor<4xf32>) -> tensor<4xf32> "tf.Yield"(%final, %sub) : (tensor<4xf32>, tensor<i32>) -> () }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Mar 30 03:28:59 UTC 2022 - 3K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/raise-custom-ops.mlir
// CHECK-NEXT: "tfl.yield"(%[[MY_CUSTOM]]) : (tensor<4xf32>) -> () // CHECK-NEXT: }) {fused_activation_function = "RELU", int_attr = 2 : i32} : (tensor<4xf32>, tensor<4xf32>) -> tensor<4xf32> // CHECK-NEXT: %[[CUSTOM_2:.*]] = "tfl.custom_tf"(%[[MUL]], %[[CST]]) ({ // CHECK-NEXT: ^bb0(%arg1: tensor<4xf32>, %arg2: tensor<4xf32>):
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/mlir2flatbuffer/disable_flex.mlir
// CHECK: tf.Div(tensor<4xf32>, tensor<4xf32>) -> (tensor<4xf32>) : {name = "div"} func.func @main(tensor<4xf32>) -> tensor<4xf32> { ^bb0(%arg0: tensor<4xf32>): %0 = "tfl.pseudo_const" () {name = "Const", value = dense<1.0> : tensor<4xf32>} : () -> tensor<4xf32> %1 = "tfl.mul"(%arg0, %0) {fused_activation_function = "NONE", name = "mul"} : (tensor<4xf32>, tensor<4xf32>) -> tensor<4xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Mar 24 07:31:32 UTC 2022 - 911 bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tpu_colocate_composite_resource_ops.mlir
// CHECK-SAME: (%[[ARG0:.*]]: tensor<*x!tf_type.resource<tensor<4xf32>>>) func.func @testReadVariableOpColocated(%arg0: tensor<*x!tf_type.resource<tensor<4xf32>>>) { // CHECK: tf_device.replicate // CHECK-SAME: (%[[ARG0]] as %[[RI_0:[a-z0-9]*]]: tensor<*x!tf_type.resource<tensor<4xf32>>>) tf_device.replicate(%arg0 as %arg1: tensor<*x!tf_type.resource<tensor<4xf32>>>) { _mirrored_variable_indices = [0],
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Oct 31 08:59:10 UTC 2023 - 6.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/resource_op_lifting.mlir
} // CHECK: func @if_else(%[[EARG0:.*]]: tensor<4xf32>, %[[EARG1:.*]]: tensor<4xf32>) func.func @if_else(%arg0: tensor<*x!tf_type.resource<tensor<4xf32>>>, %arg1: tensor<*x!tf_type.resource<tensor<4xf32>>>) -> (tensor<*x!tf_type.resource<tensor<4xf32>>>, tensor<4xf32>) { %id = "tf.Identity"(%arg1) : (tensor<*x!tf_type.resource<tensor<4xf32>>>) -> tensor<*x!tf_type.resource<tensor<4xf32>>>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 74K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/input_arrays.mlir
func.func @main(%arg0: tensor<4xf32>) -> tensor<4xf32> { %0 = "tfl.pseudo_const" () {value = dense<1.0> : tensor<4xf32>} : () -> tensor<4xf32> loc("Const") %1 = "tfl.squared_difference"(%arg0, %0) {fused_activation_function = "NONE"} : (tensor<4xf32>, tensor<4xf32>) -> tensor<4xf32> loc("squared_difference") %2 = "tfl.mul"(%0, %1) {fused_activation_function = "NONE"} : (tensor<4xf32>, tensor<4xf32>) -> tensor<4xf32> loc("mul")
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Mar 14 19:15:40 UTC 2024 - 867 bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/mlir2graphdef/functional-if-ops.mlir
%outputs_6, %control_7 = tf_executor.island wraps "tf.If"(%outputs_2, %arg2, %arg3) {else_branch = @cond_false, is_stateless = true, then_branch = @cond_true} : (tensor<i1>, tensor<4xf32>, tensor<4xf32>) -> tensor<4xf32> loc("StatelessIf") tf_executor.fetch %outputs_4, %outputs_6 : tensor<4xf32>, tensor<4xf32> } func.return %0#0, %0#1 : tensor<4xf32>, tensor<4xf32> }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Mar 25 12:28:56 UTC 2022 - 2.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/split-merged-operands.mlir
unction = "NONE", time_major = true}> : (tensor<4x4x4xf32>, tensor<4x4xf32>, tensor<4x4xf32>, tensor<4x4xf32>, tensor<4x4xf32>, tensor<4x4xf32>, tensor<4x4xf32>, tensor<4x4xf32>, tensor<4x4xf32>, tensor<4xf32>, tensor<4xf32>, tensor<4xf32>, tensor<4xf32>, tensor<4xf32>, tensor<4xf32>, tensor<4xf32>, tensor<4x4xf32>, tensor<4xf32>, tensor<4x4xf32>, tensor<4x4xf32>, tensor<4x4xf32>, tensor<4x4xf32>, tensor<4x4xf32>, tensor<4x4xf32>) -> tensor<4x4x4xf32> %0 = "tfl.pseudo_const" () {value =...
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 7.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/lstm.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 20.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/pruning_function_input_as_output.mlir
// CHECK: (%[[ARG:.*]]: tensor<4xf32>) -> (tensor<4xf32>, tensor<4xf32>, tensor<4xf32>) func.func @main(%arg0: tensor<4xf32>) -> tensor<4xf32> attributes {tf.entry_function = {inputs = "mul"}} { %0 = "tfl.pseudo_const" () {value = dense<1.0> : tensor<4xf32>} : () -> tensor<4xf32> loc("Const") %1 = "tfl.squared_difference"(%arg0, %0) {fused_activation_function = "NONE"} : (tensor<4xf32>, tensor<4xf32>) -> tensor<4xf32> loc("squared_difference")
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Mar 24 07:35:24 UTC 2022 - 1.1K bytes - Viewed (0)