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Results 21 - 30 of 37 for 1x3xi8 (0.12 sec)
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tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/quantize_composite_functions.mlir
// CHECK: return %[[UNIFORM_QUANTIZE_1]] : tensor<1x3x!quant.uniform<i8:f32, {{.*}}>> // CHECK-PER-TENSOR: func.func private @quantized_dot_general_fn(%[[ARG_1:.+]]: tensor<1x2x!quant.uniform<i8:f32, {{.*}}>>, %[[ARG_2:.+]]: tensor<2x3x!quant.uniform<i8<-127:127>:f32, {{.*}}>>) -> tensor<1x3x!quant.uniform<i8:f32, {{.*}}>> attributes {_from_xla_call_module}
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 09 05:56:10 UTC 2024 - 91.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/lift_quantizable_spots_as_functions_xla.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 8.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/quantize/quantize.mlir
%1 = "quantfork.qcast"(%0) {volatile} : (tensor<1x3xf32>) -> tensor<1x3x!quant.uniform<i8:f32, 1.000000e-03:-3>> %2 = "quantfork.dcast"(%1) : (tensor<1x3x!quant.uniform<i8:f32, 1.000000e-03:-3>>) -> tensor<1x3xf32> return %2 : tensor<1x3xf32> } // CHECK: %[[XLA_CALL_MODULE_0:.+]] = "tf.XlaCallModule"() <{{{.*}}}> {{{.*}}} : () -> tensor<1x3x!quant.uniform<i8:f32, 1.000000e-03:-3>>
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/quantization/stablehlo/tests/bridge/verify-quant-legalization.mlir
// RUN: stablehlo-quant-opt %s -verify-quant-legalization -split-input-file -verify-diagnostics | FileCheck %s // CHECK-LABEL: func @legal_i8 func.func @legal_i8(%arg0: tensor<1xi8>) -> tensor<1xi8> { func.return %arg0: tensor<1xi8> } // ----- func.func @illegal_qint8(%arg0: tensor<1x!tf_type.qint8>) -> tensor<1x!tf_type.qint8> { // expected-error@+1 {{'func.return' op is illegal as it is a UQ op or contains uq/qint types}}
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Aug 18 18:54:14 UTC 2023 - 3K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/prepare-quantize-post-training-16bits.mlir
// CHECK-NEXT: %[[q2:.*]] = "tfl.quantize"(%[[cst_0]]) <{qtype = tensor<1x3x!quant.uniform<i8<-127:127>:f32:0, {{.*}}>>}> {volatile} : (tensor<1x3xf32>) -> tensor<1x3x!quant.uniform<i8<-127:127>:f32:0, {{.*}}>> // CHECK-NEXT: %[[dq2:.*]] = "tfl.dequantize"(%[[q2]]) : (tensor<1x3x!quant.uniform<i8<-127:127>:f32:0, {{.*}}>>) -> tensor<1x3xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 26.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/duplicate_shape_determining_constants.mlir
%2 = "tf.Fill"(%1, %cst_0) {device = ""} : (tensor<2xi32>, tensor<i32>) -> tensor<1x3xi32> // Just to introduce extra usages for %cst. %3 = "tf.Mul"(%cst, %cst) {device = ""} : (tensor<1x3xf32>, tensor<1x3xf32>) -> tensor<1x3xf32> return %2: tensor<1x3xi32> } // The output of tf.Shape is considered a compile-time constant, so the
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Nov 24 07:44:46 UTC 2022 - 11K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/quantize/quantize_same_scale.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 14 17:10:32 UTC 2024 - 35.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/constants_offset.mlir
// CHECK-LABEL: @qu8 // CHECK: <{qtype = tensor<3x!quant.uniform<u8<1:255>:f32, 1.000000e+00>>, value = dense<1> : tensor<3xi8>}> : () -> tensor<3x!quant.uniform<u8<1:255>:f32, 1.000000e+00>> %0 = "tfl.pseudo_qconst"() { qtype = tensor<3x!quant.uniform<u8<1:255>:f32, 1.0>>, value = dense<1> : tensor<3xi8>} : () -> tensor<3x!quant.uniform<u8<1:255>:f32, 1.0>> func.return %0 : tensor<3x!quant.uniform<u8<1:255>:f32, 1.0>> }
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/lite/tests/flatbuffer2mlir/constants.mlir
// CHECK-LABEL: @qu8 // CHECK: <{qtype = tensor<3x!quant.uniform<u8<1:255>:f32, 1.000000e+00>>, value = dense<1> : tensor<3xi8>}> : () -> tensor<3x!quant.uniform<u8<1:255>:f32, 1.000000e+00>> %0 = "tfl.pseudo_qconst"() { qtype = tensor<3x!quant.uniform<u8<1:255>:f32, 1.0>>, value = dense<1> : tensor<3xi8>} : () -> tensor<3x!quant.uniform<u8<1:255>:f32, 1.0>> func.return %0 : tensor<3x!quant.uniform<u8<1:255>:f32, 1.0>> }
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/quantization/tensorflow/tests/quantize_composit_functions_debugging.mlir
// TF-DAG: %[[cc_0:.*]] = "tf.ConcatV2"(%[[pc_1]], %[[pc_5]], %[[cst_0]]) : (tensor<2x2xi8>, tensor<2x2xi8>, tensor<i32>) -> tensor<2x4xi8> // TF-DAG: %[[pc_7:.*]] = "tf.PartitionedCall"(%[[cc_0]], %[[cst_6]], %[[cst_5]]) <{config = "", config_proto = "", executor_type = "", f = @dequantize_i8} // TF-DAG: return %[[pc_7]]
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Nov 06 01:23:21 UTC 2023 - 80.5K bytes - Viewed (0)