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Results 1 - 3 of 3 for 2x5x7xf32 (0.17 sec)
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tensorflow/compiler/mlir/lite/tests/optimize.mlir
%cst_add = arith.constant dense<2.0> : tensor<2x512xf32> // Not 1D %cst_weights = arith.constant dense<3.0> : tensor<1024x512xf32> %cst_bias = arith.constant dense<5.0> : tensor<1024xf32> %0 = "tfl.add"(%arg, %cst_add) {fused_activation_function = "NONE"} : (tensor<2x512xf32>, tensor<2x512xf32>) -> tensor<2x512xf32>
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/tf2xla/tests/legalize-tf.mlir
// ----- // CHECK-LABEL: matmul_notranspose // CHECK-SAME: (%[[A:.*]]: tensor<5x7xf32>, %[[B:.*]]: tensor<7x11xf32>) func.func @matmul_notranspose(%a: tensor<5x7xf32>, %b: tensor<7x11xf32>) -> tensor<5x11xf32> { // CHECK: "mhlo.dot"(%[[A]], %[[B]]) %0 = "tf.MatMul"(%a, %b) {transpose_a = false, transpose_b = false} : (tensor<5x7xf32>, tensor<7x11xf32>) -> tensor<5x11xf32> func.return %0 : tensor<5x11xf32> }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon May 06 18:46:23 UTC 2024 - 335.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/legalize_hlo.mlir
// CHECK: %[[VAL_1:.*]] = arith.constant dense<[2, 2, 6]> : tensor<3xi64> // CHECK: %[[VAL_2:.*]] = "tf.Reshape"(%[[VAL_0]], %[[VAL_1]]) : (tensor<4x6xf32>, tensor<3xi64>) -> tensor<2x2x6xf32> // CHECK: return %[[VAL_2]] : tensor<2x2x6xf32> // CHECK: } func.func @reshape(%arg0: tensor<4x6xf32>) -> tensor<2x2x6xf32> {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 29 07:26:59 UTC 2024 - 340.2K bytes - Viewed (0)