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Results 21 - 28 of 28 for 3x5x12xf32 (0.65 sec)
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tensorflow/compiler/mlir/lite/tests/quantize.mlir
%4 = "tfl.dequantize"(%3) : (tensor<32x12x!quant.uniform<u8<1:255>:f32, 0.021826678373682216:151>>) -> tensor<32x12xf32> %5 = "tfl.fully_connected"(%2, %4, %cst) {fused_activation_function = "NONE", keep_num_dims = false, weights_format = "DEFAULT"} : (tensor<1x224x224x3xf32>, tensor<32x12xf32>, tensor<32xf32>) -> tensor<1x112x112x32xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 28 23:10:13 UTC 2024 - 39.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/lower-static-tensor-list.mlir
} // ----- // CHECK-LABEL: tensorlistConcat func.func @tensorlistConcat(%arg0: tensor<3x2x2xf32>, %lead: tensor<i64>) -> (tensor<?x2xf32>, tensor<0xi64>) { %cst = arith.constant dense<[2, 2]> : tensor<2xi32> %list = "tf.TensorListFromTensor"(%arg0, %cst) : (tensor<3x2x2xf32>, tensor<2xi32>) -> tensor<!tf_type.variant<tensor<f32>>>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 39.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/canonicalize.mlir
func.func @foldFill() -> (tensor<3x2x1xf32>, tensor<*xf32>, tensor<*xcomplex<f32>>) { %0 = "tf.Const"() {value = dense<[3, 2, 1]> : tensor<3xi32>} : () -> tensor<3xi32> %1 = "tf.Const"() {value = dense<23.0> : tensor<f32>} : () -> tensor<f32> // CHECK-DAG: "tf.Const"() <{value = dense<2.300000e+01> : tensor<3x2x1xf32>}> %2 = "tf.Fill"(%0, %1) : (tensor<3xi32>, tensor<f32>) -> tensor<3x2x1xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 09 22:07:10 UTC 2024 - 132.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/shape_inference.mlir
%cst_5 = arith.constant dense<512> : tensor<i32> %19 = "tf.Pack"(%18, %cst_5) {N = 2 : i64, T = i32, axis = 0 : i64, device = ""} : (tensor<i32>, tensor<i32>) -> tensor<2xi32> // CHECK: -> tensor<1x512xf32> %40 = "tf.Reshape"(%39, %19) {T = f32, Tshape = i32, device = ""} : (tensor<1x4x4x32xf32>, tensor<2xi32>) -> tensor<?x?xf32> func.return } // CHECK-LABEL: func @shape_partial_eval
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jan 23 17:24:10 UTC 2024 - 167.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tf-ops.mlir
// ----- func.func @testBatchMatMulV2InvalidBroadcastingBatchDimensionWithHigherYRank(%lhs: tensor<2x5x10xf32>, %rhs: tensor<10x10x10x10xf32>) { // expected-error @+1 {{found incompatible broadcast batch dimensions for lhs shape 'tensor<2x5x10xf32>' and rhs shape 'tensor<10x10x10x10xf32>'}} %0 = "tf.BatchMatMulV2"(%lhs, %rhs) : (tensor<2x5x10xf32>, tensor<10x10x10x10xf32>) -> tensor<10x10xf32> } // -----
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/lite/tests/prepare-quantize.mlir
%4 = "tfl.dequantize"(%3) : (tensor<32x12x!quant.uniform<u8<1:255>:f32, 0.021826678373682216:151>>) -> tensor<32x12xf32> %5 = "tfl.fully_connected"(%2, %4, %cst) {fused_activation_function = "NONE", keep_num_dims = false, weights_format = "DEFAULT"} : (tensor<1x224x224x3xf32>, tensor<32x12xf32>, tensor<32xf32>) -> tensor<1x112x112x32xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 67.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/legalize-tf.mlir
} func.func @gatherNdVectorIndices(%arg0 : tensor<3x2x2xf32>, %arg1 : tensor<2xi32>) -> tensor<2xf32> { %0 = "tf.GatherNd"(%arg0, %arg1) : (tensor<3x2x2xf32>, tensor<2xi32>) -> tensor<2xf32> func.return %0 : tensor<2xf32> // CHECK-LABEL:gatherNdVectorIndices // CHECK: "tfl.gather_nd"(%arg0, %arg1) : (tensor<3x2x2xf32>, tensor<2xi32>) -> tensor<2xf32> }
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/tf2xla/tests/legalize-tf.mlir
func.func @transpose_3d_int32(%arg0: tensor<1x2x3xf32>) -> tensor<3x2x1xf32> { %permutation = "tf.Const"() {value = dense<[2, 1, 0]> : tensor<3xi32>} : () -> (tensor<3xi32>) // CHECK: "mhlo.transpose" %0 = "tf.Transpose"(%arg0, %permutation) : (tensor<1x2x3xf32>, tensor<3xi32>) -> tensor<3x2x1xf32> func.return %0 : tensor<3x2x1xf32> } // ----- // CHECK-LABEL: @transpose_3d
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon May 06 18:46:23 UTC 2024 - 335.5K bytes - Viewed (0)