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Results 11 - 17 of 17 for 5x384xf32 (0.26 sec)
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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) -
tensorflow/compiler/mlir/tf2xla/tests/legalize-tf.mlir
// CHECK: return %[[RESULT]] func.func @test_sparse_mat_mul_with_transpose(%arg0: tensor<3x4xf32>, %arg1: tensor<5x4xf32>) -> tensor<3x5xf32> { %0 = "tf.SparseMatMul"(%arg0, %arg1) {a_is_sparse = true, b_is_sparse = false, transpose_a = false, transpose_b = true} : (tensor<3x4xf32>, tensor<5x4xf32>) -> tensor<3x5xf32> func.return %0: tensor<3x5xf32> }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon May 06 18:46:23 UTC 2024 - 335.5K bytes - Viewed (0)