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Results 21 - 30 of 55 for 3x5xi32 (0.12 sec)
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tensorflow/compiler/mlir/tensorflow/tests/tpu_space_to_depth_pass.mlir
%1 = "tf.Const"() {value = dense<0> : tensor<1x1xi32>} : () -> tensor<1x1xi32> %2 = "tf.Const"() {value = dense<[7, 7, 3, 64]> : tensor<4xi32>} : () -> tensor<4xi32> %3 = "tf.Const"() {value = dense<[[0, 0], [3, 3], [3, 3], [0, 0]]> : tensor<4x2xi32>} : () -> tensor<4x2xi32> %4 = "tf.Const"() {value = dense<0> : tensor<i32>} : () -> tensor<i32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 37.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/variable.mlir
// CHECK-LABEL: main func.func @main() -> tensor<3x2xi32> { // CHECK: "tfl.pseudo_const"() <{value = dense<0> : tensor<3x2xi32>}> {tfl.is_variable} : () -> tensor<3x2xi32> %0 = "tfl.pseudo_const"() {value = dense<0> : tensor<3x2xi32>, tfl.is_variable} : () -> tensor<3x2xi32> loc("variable") func.return %0 : tensor<3x2xi32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 470 bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/mlir2flatbuffer/simple_with_unconnected_control_nodes.mlir
// CHECK-NEXT: } %0 = "tfl.pseudo_const" () {value = dense<[[1, 2], [3, 4], [5, 6]]> : tensor<3x2xi32>} : () -> tensor<3x2xi32> loc("Const") %1,%control_1 = tfl.control_node controls "tfl.sub" (%arg0, %0) {fused_activation_function = "RELU6"} : (tensor<3x2xi32>, tensor<3x2xi32>) -> tensor<3x2xi32> loc("sub") %2 = "arith.constant" () {value = dense<10> : tensor<i32>} : () -> tensor<i32> loc("SameNameAsOutput")
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Aug 17 13:32:53 UTC 2022 - 4.4K 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/push-tpose-through-ewise.mlir
func.func @pushTposeAfterAddSimpleWithFold(%arg0: tensor<2x3xi32>) -> tensor<3x2xi32> { %perm = arith.constant dense<[1, 0]> : tensor<2xi32> %0 = "tfl.transpose"(%arg0, %perm) : (tensor<2x3xi32>, tensor<2xi32>) -> tensor<3x2xi32> %cst = arith.constant dense<[[1, 2], [3, 4], [5, 6]]> : tensor<3x2xi32> %1 = tfl.add %0, %cst { fused_activation_function = "NONE" } : tensor<3x2xi32> func.return %1 : tensor<3x2xi32> }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 8.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tf_saved_model/multi_variables_v1.py
# CHECK: func {{@[a-zA-Z_0-9]+}}( # CHECK-SAME: [[ARG0:%.*]]: tensor<!tf_type.resource<tensor<5x3xf32>>> {tf_saved_model.bound_input = @[[VAR0]]}, # CHECK-SAME: [[ARG1:%.*]]: tensor<!tf_type.resource<tensor<3x5xf32>>> {tf_saved_model.bound_input = @[[VAR1]]}) # CHECK-SAME: -> (tensor<5x5xf32> {{{.*}}})
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Oct 31 08:49:35 UTC 2023 - 2.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/fold_constant_transpose.mlir
// ----- // Tests that int constants are not folded. // CHECK-LABEL: transpose_int func.func @transpose_int() -> tensor<3x2xi32> { %0 = stablehlo.constant dense<0> : tensor<2x3xi32> %1 = stablehlo.transpose %0, dims = [1, 0] : (tensor<2x3xi32>) -> tensor<3x2xi32> return %1 : tensor<3x2xi32> } // CHECK: transpose // ----- // Tests that transposing an argument cannot be folded. // CHECK-LABEL: transpose_arg
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Mar 12 08:06:02 UTC 2024 - 2.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/shape-inference.mlir
module attributes {tf.versions = {producer = 888 : i32}} { func.func @testReshapeShapeInference(%arg0: tensor<3x4xi32>) -> tensor<*xi32> { %cst = arith.constant dense<[1, 6, 2]> : tensor<3xi32> // CHECK: "tfl.reshape"(%arg0, %cst) : (tensor<3x4xi32>, tensor<3xi32>) -> tensor<1x6x2xi32> %0 = "tfl.reshape"(%arg0, %cst) : (tensor<3x4xi32>, tensor<3xi32>) -> tensor<*xi32> func.return %0 : tensor<*xi32> } } // -----
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 11.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/const-fold.mlir
func.func @add_dense_dense_int_mixing_1_n() -> tensor<2x2xi32> { %cst_0 = arith.constant dense<[[1, 2]]> : tensor<1x2xi32> %cst_1 = arith.constant dense<[[3], [4]]> : tensor<2x1xi32> %0 = "tfl.add"(%cst_0, %cst_1) {fused_activation_function = "NONE"} : (tensor<1x2xi32>, tensor<2x1xi32>) -> tensor<2x2xi32> func.return %0 : tensor<2x2xi32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 45.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfr/tests/rewrite_quantized_io.mlir
%arg1: tensor<1x5xf32>) -> (tensor<1x10x!quant.uniform<i8:f32, 0.2:42>>, tensor<1x5xf32>) { %0 = "tf.MyRequantize"(%arg0) : (tensor<1x10x!quant.uniform<i8:f32, 0.1:-128>>) -> tensor<1x10x!quant.uniform<i8:f32, 0.2:42>> %1 = "tf.Intermediate"(%arg1) : (tensor<1x5xf32>) -> tensor<1x5xf32> func.return %0, %1 : tensor<1x10x!quant.uniform<i8:f32, 0.2:42>>, tensor<1x5xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 2.3K bytes - Viewed (0)