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tensorflow/compiler/mlir/lite/transforms/quantize_patterns.td
// If the tfl.dequantize op wasn't fused, we shouldn't quantize the floating // point constant. def : Pat<(TFL_DequantizeOp (TFL_QuantizeOp (Arith_ConstantOp F32ElementsAttr:$cst), $qt)), (TFL_ConstOp $cst)>; // Transpose conv supports hybrid computation with quantized weights. def FoldQuantWeightsIntoTposeConv : Pat< (TFL_TransposeConvOp $output_shape, (TFL_DequantizeOp $quant_weights),
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 28 23:10:13 UTC 2024 - 2.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/quantize_drq.mlir
return %0 : tensor<*xf32> } // CHECK: %[[cst:.*]] = "arith.constant"() <{value = dense<0.000000e+00> : tensor<2x1024xf32>}> : () -> tensor<2x1024xf32> // CHECK: %[[q_cst:.*]] = "quantfork.qcast"(%[[cst]]) : (tensor<2x1024xf32>) -> tensor<2x1024x!quant.uniform<i8<-127:127>:f32, 3.9370078740157481E-9>>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 08 19:32:28 UTC 2024 - 1.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/odml_converter/transforms/shlo_simplify.td
"Is not a constant.">; def : Pat<(StableHLO_DivOp $l, (StableHLO_ConstantOp:$divisor FloatElementsAttr<32>:$cst)), (StableHLO_MulOp $l, (StableHLO_DivOp (StableHLO_ConstantOp (CloneF32ElementsAttrWithOnes $cst)), $divisor)),
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 10 03:05:20 UTC 2024 - 1.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/importer_test_min_max.cc.mlir
func.func @main(tensor<40x37xf32>, tensor<40x37xf32>) -> tensor<40x40xf32> { ^bb0(%arg0: tensor<40x37xf32>, %arg1: tensor<40x37xf32>): %cst = arith.constant dense<1.0> : tensor<40xf32> %0:2 = "tfl.fully_connected"(%arg0, %arg1, %cst) {fused_activation_function = "NONE", keep_num_dims = false, weights_format = "DEFAULT"} : (tensor<40x37xf32>, tensor<40x37xf32>, tensor<40xf32>) -> (tensor<40x40xf32>, tensor<40x40xf32>)
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 1.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/optional_input.json
// CHECK: %[[CST:.*]] = "tfl.no_value"() <{value}> : () -> none
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 1.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/remove_var_init_by_const.mlir
// CHECK: @init_func_restore_op // CHECK-SAME: tf_saved_model.initializer_type = "restore_op" // CHECK-NOT: "tf.AssignVariableOp" // CHECK: %[[CST:.*]] = "tf.Const"() // CHECK-NEXT: %[[IDENTITY:.*]] = "tf.Identity"(%[[CST]]) // CHECK-NEXT: %[[VAR:.*]] = "tf.VarHandleOp"() <{{{.*shared_name = "var_1".*}}}> // CHECK-NEXT: "tf.AssignVariableOp"(%[[VAR]], %[[IDENTITY]]) } // -----
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 6.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tpu-resource-read-for-write.mlir
// CHECK-NOT: tf.ReadVariableOp %0 = "tf.ReadVariableOp"(%arg0) : (tensor<*x!tf_type.resource<tensor<1xf32>>>) -> tensor<1xf32> %cst = "tf.Const"() <{value = dense<0.000000e+00> : tensor<f32>}> : () -> tensor<f32> %cst_0 = "tf.Const"() <{value = dense<1> : tensor<1xi64>}> : () -> tensor<1xi64> %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} {
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/quantization/tensorflow/tests/replace_cast_hacks_with_tf_xla_ops_large_constants.mlir
%cst = "tf.Const"() {value = dense<2> : tensor<960x960x3x512xi8>} : () -> tensor<960x960x3x512xi8> %cst_0 = "tf.Const"() {value = dense<0.00117647066> : tensor<f32>} : () -> tensor<f32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 5.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/utils/fake_quant_utils.h
// the quantization parameters as a TypeAttr and "tfl.dequantize" op used to // convert the output type to the next op. Here are the transformations: // // input min cst max cst input min cst max cst // \ | | \ | | // \ (tf.Identity) (tf.Identity) => \ (tf.Identity) (tf.Identity) // \ | | \ | |
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 6.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfrt/tests/saved_model/testdata/xla_launch_xla_reduce_window.mlir
%0 = "tf.AddV2"(%arg0, %arg1) {device = ""} : (tensor<*xf32>, tensor<*xf32>) -> tensor<*xf32> func.return %0 : tensor<*xf32> } func.func @xla_func_0(%arg0: tensor<7xf32>, %arg1: tensor<f32>) -> tensor<10xf32> { %cst = "tf.Const"() {value = dense<0> : tensor<1x2xi32>} : () -> tensor<1x2xi32> %cst_0 = "tf.Const"() {value = dense<1> : tensor<1xi32>} : () -> tensor<1xi32> %cst_1 = "tf.Const"() {value = dense<2> : tensor<1xi32>} : () -> tensor<1xi32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Aug 14 15:35:49 UTC 2023 - 1.6K bytes - Viewed (0)