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Results 1 - 6 of 6 for 5x6x7xf32 (0.14 sec)
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tensorflow/compiler/mlir/tensorflow/tests/einsum.mlir
// CHECK: return %[[v3:.*]] : tensor<5x7xf32> } func.func @einsum_transpose_matmul(%arg0: tensor<2x5x7xf32>, %arg1: tensor<5x3x2xf32>) -> tensor<5x3x7xf32> { %0 = "tf.Einsum"(%arg0, %arg1) {T = "tfdtype$DT_FLOAT", equation = "lbh,bkl->bkh"}: (tensor<2x5x7xf32>, tensor<5x3x2xf32>) -> tensor<5x3x7xf32> func.return %0 : tensor<5x3x7xf32> // CHECK-LABEL: einsum_transpose_matmul
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Jan 05 18:35:42 UTC 2024 - 25.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/api/v2/legalize_tf_test.cc
func.func @main() -> (tensor<5x11xf32>) { %arg0 = "tf.Const"() {value = dense<-3.0> : tensor<5x7xf32>} : () -> tensor<5x7xf32> %arg1 = "tf.Const"() {value = dense<-3.0> : tensor<11x7xf32>} : () -> tensor<11x7xf32> %1 = "tf.MatMul"(%arg0, %arg1) {transpose_a = false, transpose_b = true} : (tensor<5x7xf32>, tensor<11x7xf32>) -> tensor<5x11xf32> func.return %1 : tensor<5x11xf32> } })";
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 13 23:59:33 UTC 2024 - 16.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tensor_list_ops_decomposition.mlir
// Test scatter into existing tensor list. // CHECK-LABEL: func @main // CHECK-SAME: (%[[ARG0:.*]]: tensor<10x8x9xf32>, %[[ARG1:.*]]: tensor<5xi32>, %[[ARG2:.*]]: tensor<5x8x9xf32>) -> tensor<10x8x9xf32> func.func @main(%arg0: tensor<10x8x9xf32>, %arg1: tensor<5xi32>, %arg2: tensor<5x8x9xf32>) -> tensor<10x8x9xf32> { %elem_shape = "tf.Const"() {value = dense<[8, 9]> : tensor<2xi32>} : () -> tensor<2xi32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 38.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/canonicalize.mlir
} // ----- func.func @trivial_dynamic_update_slice_wrong_update_shape(%arg0: tensor<2x7x14xf32>, %arg1: tensor<2x7x7xf32>) -> tensor<2x7x14xf32> { %0 = arith.constant dense<0> : tensor<3xi32> %1 = "tfl.dynamic_update_slice"(%arg0, %arg1, %0) : (tensor<2x7x14xf32>, tensor<2x7x7xf32>, tensor<3xi32>) -> tensor<2x7x14xf32> // CHECK: "tfl.dynamic_update_slice" func.return %1 : tensor<2x7x14xf32> }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 20.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/const-fold.mlir
// CHECK-LABEL: @ShapeOpI32 func.func @ShapeOpI32(%arg0 : tensor<576x72xf32>) -> tensor<2xi32> { %0 = "tfl.shape"(%arg0) : (tensor<576x72xf32>) -> tensor<2xi32> func.return %0 : tensor<2xi32> // CHECK: %[[CST:.*]] = arith.constant dense<[576, 72]> : tensor<2xi32> // CHECK: return %[[CST]] } // CHECK-LABEL: @ShapeOpI64 func.func @ShapeOpI64(%arg0 : tensor<576x72xf32>) -> tensor<2xi64> {
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/lite/stablehlo/tests/tfl_legalize_hlo.mlir
// RUN: odml-to-stablehlo-opt %s -tfl-legalize-hlo -split-input-file | FileCheck %s --dump-input=fail func.func @main(%arg0: tensor<5x7xf32>) -> tensor<5x7xf32> { func.return %arg0: tensor<5x7xf32> // CHECK-LABEL: main // CHECK: return %arg0 : tensor<5x7xf32> } // - transpose // func.func @transpose_2d(%arg0: tensor<2x3xf32>) -> tensor<3x2xf32> {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 40.1K bytes - Viewed (0)