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Results 11 - 18 of 18 for pseudo_const (0.26 sec)
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tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/input_arrays.mlir
// TODO(b/329300758): re-enable filecheck | FileCheck %s // Tests -input-arrays flag. 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")
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/tests/flatbuffer2mlir/importer_test_min_max.cc.mlir
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/mlir2flatbuffer/variable.mlir
// RUN: flatbuffer_translate -mlir-to-tflite-flatbuffer %s -o - | flatbuffer_to_string - | FileCheck %s func.func @main() -> tensor<3x2xi32> { %0 = "tfl.pseudo_const" () {value = dense<0> : tensor<3x2xi32>, tfl.is_variable} : () -> tensor<3x2xi32> loc("variable") func.return %0 : tensor<3x2xi32> } // CHECK: { // CHECK-NEXT: version: 3, // CHECK-NEXT: operator_codes: [ ], // CHECK-NEXT: subgraphs: [ { // CHECK-NEXT: tensors: [ {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Nov 06 17:29:59 UTC 2023 - 1.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/optimize_batch_matmul.mlir
%1 = "tfl.batch_matmul"(%0, %arg0) {adj_x = false, adj_y = false} : (tensor<1x1x16384xi32>, tensor<1x16384x257xi32>) -> tensor<1x1x257xi32> func.return %1 : tensor<1x1x257xi32> // CHECK: %[[CONST_DIM:.*]] = "tfl.pseudo_const"() <{value = dense<1> : tensor<1xi32>}> : () -> tensor<1xi32> // CHECK: %[[RED:.*]] = "tfl.sum"(%arg0, %[[CONST_DIM]]) <{keep_dims = true}> : (tensor<1x16384x257xi32>, tensor<1xi32>) -> tensor<1x1x257xi32> }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 9K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/importer_test_min_max.cc
// CHECK-SAME: <[-1.000000e+00, 1.000000e+00]> : tensor<2xf32>}> // CHECK-SAME: : (tensor<40x37xf32>) -> tensor<40x37xf32> // CHECK-NEXT: %[[cst:.*]] = "tfl.pseudo_const"() <{value = dense< // CHECK-SAME: 1.000000e+00> : tensor<40xf32>}> : () -> tensor<40xf32> // CHECK-NEXT: %[[fc:.*]]:2 = "tfl.fully_connected"(%[[stat]], %arg1,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 21 18:21:50 UTC 2024 - 6.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/quantization.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 4.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/common/quantization_lib/quantization.td
For example, if the kernel does not support dynamic range quantization the graph will be converted into the following IR: %q_w = "tfl.pseudo_qconst"() { qtype = tensor<64x3x3x3x!quant.uniform<i8<-127:127>:f32, 1.000000e+00>> %w = "tfl.dequantize"(%q_w) : (tensor<64x3x3x3x!quant.uniform<i8<-127:127>:f32, 1.000000e+00>>) ->
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Mar 05 07:39:40 UTC 2024 - 8.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/default_quant_params.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 8.8K bytes - Viewed (0)