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Results 11 - 20 of 21 for 5x384xf32 (0.12 sec)
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tensorflow/compiler/mlir/lite/experimental/tac/tests/device-transform-gpu.mlir
// CHECK: "tfl.slice" // ----- func.func @fullyConnectedToConv(%arg0: tensor<384x384xf32>, %arg1: tensor<512x384xf32>, %arg2: tensor<512xf32>) -> tensor<384x512xf32> { %0 = "tfl.fully_connected"(%arg0, %arg1, %arg2) {fused_activation_function = "NONE", keep_num_dims = false, weights_format = "DEFAULT"} : (tensor<384x384xf32>, tensor<512x384xf32>, tensor<512xf32>) -> tensor<384x512xf32> func.return %0: tensor<384x512xf32> }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 15.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tf_saved_model/multi_arguments_results_v1.py
# Tests multiple inputs and outputs with index paths. # CHECK-LABEL: func @key( # CHECK-SAME: %[[ARG0:.*]]: tensor<3x5xf32> {tf_saved_model.index_path = ["y"]} # CHECK-SAME: %[[ARG1:.*]]: tensor<5x3xf32> {tf_saved_model.index_path = ["x"]} # CHECK-SAME: tensor<3x3xf32> {tf_saved_model.index_path = ["t"]} # CHECK-SAME: tensor<5x5xf32> {tf_saved_model.index_path = ["s"]}
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Sep 28 21:37:05 UTC 2021 - 3.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/optimize.mlir
func.func @ConvertIdentityGatherNdOp3D(%arg0: tensor<4x3x4xf32>) -> tensor<4x3x4xf32> { %cst = arith.constant dense<[[0], [1], [2], [3]]> : tensor<4x1xi32> %0 = "tfl.gather_nd"(%arg0, %cst) : (tensor<4x3x4xf32>, tensor<4x1xi32>) -> tensor<4x3x4xf32> func.return %0 : tensor<4x3x4xf32> // CHECK-LABEL: ConvertIdentityGatherNdOp3D // CHECK-SAME: (%[[ARG:.*]]: tensor<4x3x4xf32>) -> tensor<4x3x4xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 16 20:31:41 UTC 2024 - 284.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/replace_cast_hacks_with_tf_xla_ops.mlir
%0 = "tf.Div"(%arg0, %cst_3) {device = ""} : (tensor<2x3x4xf32>, tensor<f32>) -> tensor<2x3x4xf32> %1 = "tf.AddV2"(%0, %cst_1) {device = ""} : (tensor<2x3x4xf32>, tensor<f32>) -> tensor<2x3x4xf32> %2 = "tf.Maximum"(%1, %cst_1) {device = ""} : (tensor<2x3x4xf32>, tensor<f32>) -> tensor<2x3x4xf32> %3 = "tf.Minimum"(%2, %cst_5) {device = ""} : (tensor<2x3x4xf32>, tensor<f32>) -> tensor<2x3x4xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 81K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/tfl_legalize_hlo.mlir
// CHECK-NEXT: %22 = mhlo.dynamic_reshape %2, %21 : (tensor<2x?x3x4xf32>, tensor<4xi32>) -> tensor<2x?x3x4xf32> // CHECK-NEXT: %23 = "tfl.batch_matmul"(%12, %22) <{adj_x = false, adj_y = false, asymmetric_quantize_inputs = false}> : (tensor<2x?x2x3xf32>, tensor<2x?x3x4xf32>) -> tensor<2x?x2x4xf32> // CHECK-NEXT: %24 = "tfl.shape"(%arg0) : (tensor<2x?x2x3xf32>) -> tensor<4xi32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 40.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/ops.mlir
func.func @testSelectV2WithWrongBroadcastableArguments(%cond : tensor<3x4xi1>, %arg0 : tensor<2x3x4xf32>, %arg1 : tensor<4x3xf32>) -> tensor<2x3x4xf32> { // expected-error @+1 {{'tfl.select_v2' op operands don't have broadcast-compatible shapes}} %0 = "tfl.select_v2"(%cond, %arg0, %arg1): (tensor<3x4xi1>, tensor<2x3x4xf32>, tensor<4x3xf32>) -> tensor<2x3x4xf32> func.return %0 : tensor<2x3x4xf32> } // ----- // CHECK-LABEL: topk
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 06 19:09:08 UTC 2024 - 189.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/legalize-tf.mlir
// CHECK: return } func.func @select_v2_broadcast(%arg0: tensor<4xi1>, %arg1: tensor<3x4xf32>, %arg2: tensor<8x3x4xf32>) -> tensor<8x3x4xf32> { %0 = "tf.SelectV2"(%arg0, %arg1, %arg2) : (tensor<4xi1>, tensor<3x4xf32>, tensor<8x3x4xf32>) -> tensor<8x3x4xf32> func.return %0: tensor<8x3x4xf32> // CHECK-LABEL: select_v2_broadcast // CHECK: "tfl.select_v2"(%arg0, %arg1, %arg2) // CHECK: return }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 05 01:54:33 UTC 2024 - 153.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/uniform-quantized-stablehlo-to-tfl.mlir
// CHECK: return %[[TRANSPOSE]] // ----- // Tests that a float `stablehlo.transpose` is not converted to `tfl.transpose`. func.func @transpose_float(%arg0: tensor<2x3x4xf32>) -> tensor<4x3x2xf32> { %0 = stablehlo.transpose %arg0, dims = [2, 1, 0] : (tensor<2x3x4xf32>) -> tensor<4x3x2xf32> return %0 : tensor<4x3x2xf32> } // CHECK-LABEL: transpose_float // CHECK-NOT: tfl.transpose // CHECK: stablehlo.transpose // -----
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 14 17:10:32 UTC 2024 - 106.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/legalize_hlo.mlir
// CHECK: %12 = "tf.Reshape"(%0, %11) : (tensor<2x?x3x4xf32>, tensor<4xi32>) -> tensor<2x?x3x4xf32> // CHECK: %13 = "tf.BatchMatMulV3"(%6, %12) <{adj_x = false, adj_y = false, grad_x = false, grad_y = false}> : (tensor<2x?x2x3xf32>, tensor<2x?x3x4xf32>) -> tensor<2x?x2x4xf32> // CHECK: %14 = "tf.Shape"(%arg0) : (tensor<2x?x2x3xf32>) -> tensor<4xi32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 29 07:26:59 UTC 2024 - 340.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tf-ops.mlir
func.func @testTranspose(tensor<2x3x4xf32>) -> tensor<3x2x4xf32> { ^bb0(%arg0: tensor<2x3x4xf32>): %cst = arith.constant dense<[2, 0, 1]> : tensor<3xi32> // expected-error @+1 {{requires y.shape[0] (3) to be equal to x.shape[perm[2]] (4)}} %0 = "tf.Transpose"(%arg0, %cst) {T = "tfdtype$DT_FLOAT", Tperm = "tfdtype$DT_INT32"} : (tensor<2x3x4xf32>, tensor<3xi32>) -> tensor<3x2x4xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 23 14:40:35 UTC 2023 - 236.4K bytes - Viewed (0)