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tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/quantize/quantize.mlir
%2 = "quantfork.dcast"(%1) : (tensor<4x3x!quant.uniform<i8<-127:127>:f32:1, {5.000000e-03, 5.000000e-03, 5.000000e-03}>>) -> tensor<4x3xf32> %3 = "quantfork.qcast"(%arg0) {volatile} : (tensor<1x4xf32>) -> tensor<1x4x!quant.uniform<i8:f32, 6.000000e-03:-128>> %4 = "quantfork.dcast"(%3) : (tensor<1x4x!quant.uniform<i8:f32, 6.000000e-03:-128>>) -> tensor<1x4xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 18 01:38:40 UTC 2024 - 6.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/sink_constant.mlir
%2 = "tf.Const"() {value = dense<4.000000e+00> : tensor<f32>} : () -> tensor<f32> %3 = tf_executor.graph { %res, %ctl = tf_executor.island { %3 = "tf_device.cluster"() ({ // In the device region, check that the 3 constants are materialized and // remapped to the uses. // CHECK: tf_device.cluster // CHECK-DAG: %[[CST2:.*]] = "tf.Const"{{.*}}2.0
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Mar 24 05:47:26 UTC 2022 - 1.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/passes/bridge/legalize_tf_quant_test.cc
%min_range = "tf.Const"() { value = dense<1.0> : tensor<f32> } : () -> tensor<f32> %max_range = "tf.Const"() { value = dense<5.0> : tensor<f32> } : () -> tensor<f32> %0 = "tf.Dequantize"(%arg0, %min_range, %max_range) : (tensor<1x!tf_type.qint8>, tensor<f32>, tensor<f32>) -> tensor<1xf32> func.return %0 : tensor<1xf32> } })mlir";
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Feb 29 18:43:55 UTC 2024 - 7.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/replace_stablehlo_ops_in_main_function_with_xla_call_module_ops.mlir
%1 = stablehlo.constant dense<1.000000e+03> : tensor<1x3xf32> %2:4 = "tf.CustomAggregator"(%arg0) {calibration_method = 1 : i32, id = "0", max_percentile = 0.000000e+00 : f32, min_percentile = 0.000000e+00 : f32, num_bins = 0 : i32} : (tensor<1x1024xf32>) -> (tensor<1x1024xf32>, tensor<f32>, tensor<f32>, tensor<*xi64>)
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 01:09:50 UTC 2024 - 39.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfrt/tests/ifrt/tf_identity_propagation.mlir
// CHECK-SAME: (%[[ARG0:.*]]: tensor<i32>, %[[ARG1:.*]]: tensor<f32>) func.func @identity_n(%arg0: tensor<i32>, %arg1: tensor<f32>) -> (tensor<i32>, tensor<f32>) { // CHECK-NOT: "tf.IdentityN" %0:2 = "tf.IdentityN"(%arg0, %arg1) : (tensor<i32>, tensor<f32>) -> (tensor<i32>, tensor<f32>) // CHECK: return %[[ARG0]], %[[ARG1]] func.return %0#0, %0#1 : tensor<i32>, tensor<f32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Mar 23 23:34:42 UTC 2024 - 1.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tpu-resource-read-for-write.mlir
"tf.AssignVariableOp"(%arg2, %1#1) : (tensor<*x!tf_type.resource<tensor<i32>>>, tensor<i32>) -> () func.return } // CHECK-LABEL: func @read_write_func // CHECK-SAME: ({{%.*}}: tensor<i32>, {{%.*}}: tensor<f32>) -> (tensor<f32>, tensor<i32>) func.func @read_write_func(%arg0: tensor<i32>, %arg1: tensor<f32>) -> (tensor<f32>, tensor<i32>) {
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/lite/quantization/tensorflow/tests/fallback_to_flex_ops_default.mlir
%0 = "tf.Identity"(%arg0) {device = ""} : (tensor<2xf32>) -> tensor<*xf32> %1 = "tf.AddV2"(%0, %cst_1) {device = ""} : (tensor<*xf32>, tensor<f32>) -> tensor<*xf32> func.return %1 : tensor<*xf32> // CHECK: %[[CONST_0:.*]] = "tf.Const"() <{value = dense<1.000000e-03> : tensor<f32>}> {device = ""} : () -> tensor<f32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 13.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfrt/tests/tf_to_corert/side_effects.mlir
%0 = "tf.Const"() {device = "/device:CPU:0", value = dense<4.200000e+01> : tensor<f32>} : () -> tensor<f32> %1 = "tf.VarHandleOp"() {device = "/device:CPU:0", container = "", shape = #tf_type.shape<>, shared_name = "x"} : () -> tensor<!tf_type.resource<tensor<f32>>> "tf.AssignVariableOp"(%1, %0) {device = "/device:CPU:0"} : (tensor<!tf_type.resource<tensor<f32>>>, tensor<f32>) -> () func.return
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Mar 28 12:06:33 UTC 2022 - 1008 bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/constants.mlir
%0 = "tfl.pseudo_qconst"() { qtype = tensor<3x3x!quant.uniform<i32:f32:0, {1.0, 0.5:1, 0.25:1}>>, value = dense<1> : tensor<3x3xi32>} : () -> tensor<3x3x!quant.uniform<i32:f32:0, {1.0, 0.5:1, 0.25:1}>> func.return %0 : tensor<3x3x!quant.uniform<i32:f32:0, {1.0, 0.5:1, 0.25:1}>> } func.func @qu8() -> tensor<3x!quant.uniform<u8<1:255>:f32, 1.0>> { // CHECK-LABEL: @qu8
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 12.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/compile_mlir_util/graph-resource.pbtxt
# CHECK: ENTRY %main.{{[0-9]+}} ([[ARG0:.*]]: f32[2], [[ARG1:.*]]: f32[2]) -> (f32[2]) { # CHECK-NEXT: %[[ARG1]] = f32[2]{0} parameter(1) # CHECK-NEXT: %[[ARG0]] = f32[2]{0} parameter(0) # CHECK-NEXT: ROOT %tuple.{{[0-9]+}} = (f32[2]{0}) tuple(f32[2]{0} %[[ARG0]]) # CHECK-NEXT: } # CHECK: // InputMapping {0, 1} # CHECK-NEXT: // XlaInputShape f32[2] # CHECK-NEXT: // XlaInputShape f32[2] # CHECK-NEXT: // XlaOutputShape (f32[2])
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Dec 15 06:15:50 UTC 2021 - 1.5K bytes - Viewed (0)