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Results 1 - 7 of 7 for 2x1xi32 (0.14 sec)
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tensorflow/compiler/mlir/tensorflow/tests/decompose_resource_ops.mlir
// CHECK: %[[ONE:.*]] = "tf.Const"() <{value = dense<1> : tensor<i32>}> // CHECK: %[[RES_READ_VAL:[0-9]*]] = "tf.ReadVariableOp" // CHECK-SAME: (tensor<*x!tf_type.resource<tensor<2x8xi32>>>) -> tensor<2x8xi32> // CHECK: "tf.AddV2"(%[[RES_READ_VAL]], %[[ONE]]) // CHECK-SAME: (tensor<2x8xi32>, tensor<i32>) -> tensor<2x8xi32> // CHECK: "tf.AssignVariableOp"
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 22 19:47:48 UTC 2024 - 51.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/prepare-tf.mlir
%5 = "tf.Identity"(%4) {device = ""} : (tensor<2x4xf32>) -> tensor<2x4xf32> %6 = "tf.Identity"(%5) {device = ""} : (tensor<2x4xf32>) -> tensor<2x4xf32> func.return %6 : tensor<2x4xf32> // CHECK-LABEL: QuantDequantTranspose // CHECK-DAG: %[[CST:.*]] = "tf.Const"() <{value = dense<[1, 0]> : tensor<2xi32>}> : () -> tensor<?xi32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 29 07:26:59 UTC 2024 - 59.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/prepare-quantize.mlir
%3 = "tfl.dequantize"(%2) : (tensor<2x3x!quant.uniform<i16:f32, 1.0>>) -> (tensor<2x3xf32>) %4 = "tfl.concatenation"(%1, %3) {axis = -1 : i32, fused_activation_function = "NONE"} : (tensor<2x1xf32>, tensor<2x3xf32>) -> tensor<2x4xf32> %5 = "tfl.add"(%4, %arg2) {fused_activation_function = "NONE"} : (tensor<2x4xf32>, tensor<2x4xf32>) -> tensor<2x4xf32> func.return %5: tensor<2x4xf32>
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/experimental/tac/tests/raise-target-subgraphs.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 74.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/lower_tf.cc
// (tensor<i32>, tensor<i32>, tensor<i32>) -> tensor<5xi32> // %shape = "tf.Const"() {value = dense<[5, 1]> : tensor<2xi32>} // %indices = "tf.Reshape"(%x, %shape) : (tensor<5xi32, tensor<2xi32) -> // tensor<5x1xi32> // "tf.TensorScatterUpdate"(%x, %indices, %updates) : // (tensor<5xi32>, tensor<5x1xi32>, tensor<5xi32>) -> tensor<5xi32> // class LowerInvertPermutationOp : public RewritePattern { public:
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 74.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/prepare-quantize-post-training.mlir
fused_activation_function = "TANH", proj_clip = 0.000000e+00 : f32, time_major = false} : ( tensor<1x1x5xf32>, tensor<2x5xf32>, tensor<2x5xf32>, tensor<2x5xf32>, tensor<2x5xf32>, tensor<2x4xf32>, tensor<2x4xf32>, tensor<2x4xf32>, tensor<2x4xf32>, tensor<2xf32>, tensor<2xf32>, tensor<2xf32>, tensor<2xf32>, tensor<2xf32>, tensor<2xf32>, tensor<2xf32>, tensor<4x2xf32>, tensor<4xf32>,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 52.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/quantize_composite_functions.mlir
%2 = stablehlo.reshape %1 : (tensor<i32>) -> tensor<1xi32> %3 = stablehlo.concatenate %2, %cst_0, dim = 0 : (tensor<1xi32>, tensor<1xi32>) -> tensor<2xi32> %4 = stablehlo.dynamic_broadcast_in_dim %arg2, %3, dims = [1] : (tensor<3xf32>, tensor<2xi32>) -> tensor<?x3xf32> %5 = stablehlo.add %0, %4 : tensor<?x3xf32> return %5 : tensor<?x3xf32> } }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 09 05:56:10 UTC 2024 - 91.6K bytes - Viewed (0)