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tensorflow/compiler/mlir/lite/tests/mlir2flatbuffer/custom_op_with_tflite_op.mlir
%0 = "tfl.pseudo_const" () {value = dense<1.0> : tensor<4xf32>} : () -> tensor<4xf32> loc("Const") %1 = "tfl.mul"(%arg0, %0) {fused_activation_function = "NONE"} : (tensor<4xf32>, tensor<4xf32>) -> tensor<4xf32> loc("mul") // tf.MyCustomOp is the result of conversion to a Custom op %2 = "tf.MyCustomOp"(%1, %0) {fused_activation_function = "RELU", int_attr = 2 : i32} : (tensor<4xf32>, tensor<4xf32>) -> tensor<4xf32> loc("MyCustomOp")
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jul 14 16:41:28 UTC 2022 - 4.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tpu-resource-read-for-write.mlir
%fill = "tf.Fill"(%cst_0, %cst) : (tensor<1xi64>, tensor<f32>) -> tensor<1xf32> tf_device.replicate([%0, %fill] as %arg_r0: tensor<1xf32>) {n = 2 : i32} { %1 = "tf_device.launch"() <{device = "TPU_REPLICATED_HOST_0"}> ({ %2 = "tf.Identity"(%arg_r0) : (tensor<1xf32>) -> tensor<1xf32> tf_device.return %2 : tensor<1xf32> }) : () -> tensor<1xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 16:54:40 UTC 2024 - 5.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tpu_update_embedding_enqueue_op_inputs.mlir
%2:2 = "tf.RecvTPUEmbeddingActivations"() {_tpu_embedding_layer = "call1", config = "\0A\0B\0C\0D"} : () -> (tensor<2x2xf32>, tensor<4x4xf32>) func.return } // -----
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 5.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/mlir2flatbuffer/svdf.mlir
%0 = "tfl.pseudo_const" () {value = dense<0.0> : tensor<4xf32>} : () -> tensor<4xf32> loc("Const") %1 = "tfl.svdf"(%arg0, %arg1, %arg2, %arg3, %0) {fused_activation_function = "RELU", rank = 2 : i32} : (tensor<4xf32>, tensor<4xf32>, tensor<4xf32>, tensor<4xf32>, tensor<4xf32>) -> tensor<4xf32> func.return %1 : tensor<4xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jul 14 16:41:28 UTC 2022 - 3.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/lift_quantizable_spots_as_functions_drq.mlir
} : (tensor<1x3x4x3xf32>, tensor<2x3x3x2xf32>) -> tensor<*xf32> %4 = "tf.BiasAdd"(%3, %cst) {data_format = "NHWC", device = ""} : (tensor<*xf32>, tensor<2xf32>) -> tensor<*xf32> func.return %2, %4 : tensor<*xf32>, tensor<*xf32> // CHECK-DAG: %[[CONST_0:.*]] = "tf.Const"() <{value = dense<0.000000e+00> : tensor<2xf32>}> : () -> tensor<2xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 11.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/mlir2flatbuffer/flex_op_with_tflite_op.mlir
%1 = "tfl.mul"(%arg0, %0) {fused_activation_function = "NONE"} : (tensor<4xf32>, tensor<4xf32>) -> tensor<4xf32> loc("mul") // tf.div is the result of conversion to a Flex TF op %2 = "tf.Div"(%1, %0) : (tensor<4xf32>, tensor<4xf32>) -> tensor<4xf32> loc("div") %3 = "tfl.exp"(%2) : (tensor<4xf32>) -> tensor<4xf32> loc("exp") func.return %3 : tensor<4xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jul 14 16:41:28 UTC 2022 - 3.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/optimize-arg-operand-constraint.mlir
// CHECK-LABEL: func @main func.func @main(%arg0: tensor<1xf32>) -> tensor<1xf32> attributes {tf.entry_function = {inputs = "input", outputs = "output_node"}} { %0 = arith.constant dense<2.000000e+00> : tensor<f32> %1 = arith.constant dense<1.000000e+00> : tensor<f32> %2 = "tf.AddV2"(%arg0, %1) {T = "tfdtype$DT_FLOAT", device = "", name = "StatefulPartitionedCall/add"} : (tensor<1xf32>, tensor<f32>) -> tensor<1xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Mar 24 05:47:26 UTC 2022 - 719 bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/experimental/tac/execution_metadata_exporter_test.cc
%2 = "tfl.add"(%arg0, %arg3) {fused_activation_function = "RELU6", per_device_costs = {CPU = 5.0 : f32, GPU = 1.0 : f32}, tac.device = "GPU"} : (tensor<1xf32>, tensor<1xf32>) -> tensor<1xf32> %3 = "tfl.pack"(%1, %2) {axis = 0 : i32, per_device_costs = {CPU = 2.0 : f32, GPU = -1.0 : f32}, values_count = 2 : i32, tac.device = "CPU"} : (tensor<1xf32>, tensor<1xf32>) -> tensor<2x1xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 06:11:34 UTC 2024 - 6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/tfl_while_op_licm.mlir
// CHECK: while_1([[ARG0:%[^ :]*]]: tensor<i32>, [[ARG1:%[^ :]*]]: tensor<1xf32>) func.func @while_1(%arg0: tensor<i32>, %arg1: tensor<1xf32>) -> tensor<1xf32> { // CHECK: [[CST:%[^ ]*]] = arith.constant dense<1> : tensor<i32> // CHECK: "tfl.while"([[ARG0]], [[ARG1]]) // CHECK: (tensor<i32>, tensor<1xf32>) -> (tensor<i32>, tensor<1xf32>) %0:2 = "tfl.while"(%arg0, %arg1) ( // cond {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Mar 28 14:24:59 UTC 2022 - 1.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/drop_while_shape_invariant.mlir
"tf.Yield"(%2) : (tensor<i1>) -> () }, { ^body(%barg0: tensor<*xf32>): %2 = "tf.SomeOp"(%barg0) : (tensor<*xf32>) -> tensor<*xf32> "tf.Yield"(%2) : (tensor<*xf32>) -> () }) {is_stateless = false, shape_invariant} : (tensor<4xf32>) -> (tensor<*xf32>) func.return %0, %1 : tensor<*xf32>, tensor<*xf32> } // Test that both passes drop the shape_invariant attribute from // While/WhileRegion ops within a cluster.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Mar 28 12:06:33 UTC 2022 - 2.6K bytes - Viewed (0)