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Results 1 - 6 of 6 for 4x128x32xf32 (0.43 sec)
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tensorflow/compiler/mlir/lite/tests/canonicalize.mlir
func.func @Int64SliceBeginSize(%arg0: tensor<4x128x32xf32>) -> tensor<1x128x32xf32> { %0 = "tfl.pseudo_const"() {value = dense<0> : tensor<3xi64>} : () -> tensor<3xi64> %1 = "tfl.pseudo_const"() {value = dense<[1, 128, 32]> : tensor<3xi64>} : () -> tensor<3xi64> %2 = "tfl.slice"(%arg0, %0, %1) : (tensor<4x128x32xf32>, tensor<3xi64>, tensor<3xi64>) -> tensor<1x128x32xf32> func.return %2 : tensor<1x128x32xf32>
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/optimize_batch_matmul.mlir
// CHECK-NOT: "tfl.batch_matmul" func.func @Batchmatmul2Fullyconnected(%arg0: tensor<4x128x2xf32>) -> (tensor<4x128x1xf32>) { %0 = arith.constant dense<[[1.0], [2.0]]> : tensor<2x1xf32> %1 = "tfl.batch_matmul"(%arg0, %0) {adj_x = false, adj_y = false, asymmetric_quantize_inputs = false} : (tensor<4x128x2xf32>, tensor<2x1xf32>) -> tensor<4x128x1xf32> func.return %1 : tensor<4x128x1xf32> // CHECK-NEXT: %[[CONST_WEIGHT:.*]] = arith.constant
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 9K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/legalize-tf.mlir
// CHECK: return [[MUL1]] } func.func @batchmatmul2fullyconnected(%arg0: tensor<4x128x2xf32>) -> (tensor<4x128x1xf32>) { %0 = "tf.Const"() {value = dense<[[1.0], [2.0]]> : tensor<2x1xf32>} : () -> tensor<2x1xf32> %1 = "tf.BatchMatMulV2"(%arg0, %0) : (tensor<4x128x2xf32>, tensor<2x1xf32>) -> tensor<4x128x1xf32> func.return %1 : tensor<4x128x1xf32> // CHECK-LABEL: batchmatmul2fullyconnected
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/tests/optimize.mlir
func.return %1 : tensor<128x32xf32> // CHECK: %[[FULLY_CONNECTED:.*]] = "tfl.fully_connected"(%arg0, %arg1, %arg2) <{fused_activation_function = "NONE", keep_num_dims = false, weights_format = "DEFAULT"}> : (tensor<128x64xf32>, tensor<32x64xf32>, tensor<32xf32>) -> tensor<128x32xf32> // CHECK: return %[[FULLY_CONNECTED]] : tensor<128x32xf32> }
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
%0 = "tf.CollectivePermute"(%arg0, %source_target_pairs) { } : (tensor<128x32xf32>, tensor<3x2xi32>) -> tensor<128x32xf32> func.return %0 : tensor<128x32xf32> } // ----- // CHECK-LABEL: @cross_replica_sum func.func @cross_replica_sum(%input: tensor<10xf32>) -> tensor<10xf32> { %replica_groups = "tf.Const" () {
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/transforms/optimize.cc
// does not alter the last dimension and it restores the batch dimensions // collapsed by the FullyConnected op due to `keep_num_dims=false`. For example, // // // %input: tensor<4x16x32xf32> // %fc = tfl.fully_connected(%input, %filter, %bias) // {keep_num_dims = false, weights_format = "DEFAULT"} // %shape = arith.constant dense<[4, 16, 32]> : tensor<3xi32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Apr 30 00:40:15 UTC 2024 - 102.3K bytes - Viewed (0)