- Sort Score
- Result 10 results
- Languages All
Results 71 - 80 of 180 for 2xf32 (0.18 sec)
-
tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/remove_sharding_custom_call.mlir
func.func @sharding_custom_call_removed(%arg0: tensor<3xf32>) -> tensor<3xf32> { %1 = stablehlo.custom_call @Sharding(%arg0) {mhlo.sharding = ""} : (tensor<3xf32>) -> tensor<3xf32> return %1 : tensor<3xf32> } // CHECK-NOT: custom_call // ----- // Tests that a custom_call that is not @Sharding is not removed. // CHECK-LABEL: custom_call_not_removed func.func @custom_call_not_removed(%arg0: tensor<3xf32>) -> tensor<3xf32> {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Mar 13 07:04:47 UTC 2024 - 743 bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tpu_bridge_v1/end_to_end.mlir
%outputs_9, %control_10 = tf_executor.island wraps "tf.Mul"(%outputs_7, %outputs) {T = "tfdtype$DT_FLOAT", _tpu_replicate = "cluster", device = "", name = "mul"} : (tensor<0xf32>, tensor<f32>) -> tensor<0xf32> %outputs_11, %control_12 = tf_executor.island wraps "tf.Placeholder"() {device = "", dtype = "tfdtype$DT_FLOAT", name = "y", shape = "tfshape$dim { }"} : () -> tensor<0xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Mar 13 21:23:47 UTC 2024 - 3.9K 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/lite/stablehlo/tests/legalize-tfl-stablehlo-max.mlir
module { func.func @main(%arg0: tensor<2xi32>) -> tensor<2xi32> attributes {tf.entry_function = {inputs = "arg0", outputs = "tfl.custom1"}} { %0 = "tfl.custom"(%arg0, %arg0) {custom_code = "stablehlo.maximum", custom_option = #tfl<const_bytes : "0x00000100002401">} : (tensor<2xi32>, tensor<2xi32>) -> tensor<2xi32> func.return %0 : tensor<2xi32> } } // CHECK: module {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Dec 16 05:09:09 UTC 2022 - 749 bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/legalize-tfl-stablehlo-mul.mlir
module { func.func @main(%arg0: tensor<2xi32>) -> tensor<2xi32> attributes {tf.entry_function = {inputs = "arg0", outputs = "tfl.custom1"}} { %0 = "tfl.custom"(%arg0, %arg0) {custom_code = "stablehlo.multiply", custom_option = #tfl<const_bytes : "0x00000100002401">} : (tensor<2xi32>, tensor<2xi32>) -> tensor<2xi32> func.return %0 : tensor<2xi32> } } // CHECK: module {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Dec 16 05:09:09 UTC 2022 - 751 bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/vhlo_custom_call.mlir
return %0 : tensor<1x1600x1x1xf32> } //CHECK:func.func private @custom_tf_op(%arg0: tensor<1x320x1x1xf32>, %arg1: tensor<2xi32>) -> tensor<1x1600x1x1xf32> { //CHECK: %0 = "vhlo.custom_call_v1"(%arg0, %arg1) <{
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Mar 14 19:15:40 UTC 2024 - 3.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/legalize-tfl-stablehlo-add.mlir
module { func.func @main(%arg0: tensor<2xi32>) -> tensor<2xi32> attributes {tf.entry_function = {inputs = "arg0", outputs = "tfl.custom1"}} { %0 = "tfl.custom"(%arg0, %arg0) {custom_code = "stablehlo.add", custom_option = #tfl<const_bytes : "0x00000100002401">} : (tensor<2xi32>, tensor<2xi32>) -> tensor<2xi32> func.return %0 : tensor<2xi32> } } // CHECK: module {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Dec 16 05:09:09 UTC 2022 - 741 bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/control_edges.mlir
%tmp0, %ctl0 = tfl.control_node controls "tfl.neg"(%arg0): (tensor<1xf32>) -> tensor<1xf32> %tmp1, %ctl1 = tfl.control_node controls "tfl.neg"(%tmp0): (tensor<1xf32>) -> tensor<1xf32> %tmp2, %ctl2 = tfl.control_node controls "tfl.neg"(%tmp1): (tensor<1xf32>) -> tensor<1xf32> %tmp3, %ctl3 = tfl.control_node controls "tfl.neg"(%tmp2): (tensor<1xf32>) -> tensor<1xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Oct 14 21:40:53 UTC 2022 - 3.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/split-merged-operands.mlir
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/tensorflow/tests/mlir2graphdef/functional-if-ops.mlir
func.func @cond_true(%arg0: tensor<*xf32>, %arg1: tensor<*xf32>) -> tensor<*xf32> { %0 = tf_executor.graph { %outputs, %control = tf_executor.island wraps "tf.Add"(%arg0, %arg1) : (tensor<*xf32>, tensor<*xf32>) -> tensor<*xf32> tf_executor.fetch %outputs : tensor<*xf32> } func.return %0 : tensor<*xf32> } func.func @cond_false(%arg0: tensor<*xf32>, %arg1: tensor<*xf32>) -> tensor<*xf32> { %0 = tf_executor.graph {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Mar 25 12:28:56 UTC 2022 - 2.5K bytes - Viewed (0)