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Results 1 - 8 of 8 for 10x3x2xf32 (0.15 sec)
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tensorflow/compiler/mlir/lite/tests/legalize-tf.mlir
%cst = "tf.Const"() { value = dense<[10, 3, 2]> : tensor<3xi32> } : () -> tensor<3xi32> %1 = "tf.ScatterNd"(%arg0, %arg1, %cst) : (tensor<5x1xi32>, tensor<5x3x2xf32>, tensor<3xi32>) -> tensor<10x3x2xf32> func.return %1 : tensor<10x3x2xf32> // CHECK-LABEL:scatterNdVectorIndices // CHECK: %[[CST:.*]] = arith.constant dense<[10, 3, 2]> : tensor<3xi32>
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/stablehlo/tests/uniform-quantized-stablehlo-to-tfl.mlir
// ----- // Tests that a float `stablehlo.transpose` is not converted to `tfl.transpose`. func.func @transpose_float(%arg0: tensor<2x3x4xf32>) -> tensor<4x3x2xf32> { %0 = stablehlo.transpose %arg0, dims = [2, 1, 0] : (tensor<2x3x4xf32>) -> tensor<4x3x2xf32> return %0 : tensor<4x3x2xf32> } // CHECK-LABEL: transpose_float // CHECK-NOT: tfl.transpose // CHECK: stablehlo.transpose // -----
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 14 17:10:32 UTC 2024 - 106.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/shape_inference.mlir
%2 = "tf.Cast"(%arg0) {Truncate = false} : (tensor<1x8x2xi32>) -> tensor<1x8x2xf32> tf_device.return %2 : tensor<1x8x2xf32> // CHECK: () -> tensor<1x8x2xf32> }) {device = "/device:CPU:0"} : () -> tensor<*xf32> // CHECK: "tf.Cast"(%{{.*}}) <{Truncate = false}> : (tensor<1x8x2xf32>) -> tensor<*xf32> // CHECK: (tensor<i32>, tensor<1x8x2xf32>) -> (tensor<1x8x1xf32>, tensor<1x8x1xf32>)
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/transforms/tf_passes.td
%push = "tf.XlaDynamicUpdateSlice"(%tl, %arg0_reshaped, %start_indices) : (tensor<10x8x4xf32>, tensor<1x8x4xf32>, tensor<3xi32>) -> tensor<10x8x4xf32> %one = "tf.Const"() {value = dense<1> : tensor<1xi32>} : () -> tensor<1xi32> %next_index_in_list = "tf.AddV2"(%index_in_list, %one) : (tensor<1xi32>, tensor<1xi32>) -> tensor<1xi32> return
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 12 21:18:05 UTC 2024 - 99.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tf-ops.mlir
} // ----- // Mismatching batch dimensions. func.func @testBatchMatMul(%lhs: tensor<1x3x5xf32>, %rhs: tensor<2x5x7xf32>) { // expected-error @+1 {{found mismatching batch dimensions for lhs shape 'tensor<1x3x5xf32>' and rhs shape 'tensor<2x5x7xf32>'}} %0 = "tf.BatchMatMul"(%lhs, %rhs) : (tensor<1x3x5xf32>, tensor<2x5x7xf32>) -> tensor<2x3x7xf32> } // -----
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/tensorflow/tests/canonicalize.mlir
%1 = "tf.TensorListGetItem"(%0, %arg2, %arg1) {device = "/job:localhost/replica:0/task:0/device:GPU:0"} : (tensor<!tf_type.variant<tensor<1x32xf32>>>, tensor<i32>, tensor<2xi32>) -> tensor<1x32xf32> %2 = "tf.TensorListGetItem"(%0, %arg3, %arg1) {device = "/job:localhost/replica:0/task:0/device:GPU:0"} : (tensor<!tf_type.variant<tensor<1x32xf32>>>, tensor<i32>, tensor<2xi32>) -> tensor<1x32xf32>
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/lite/tests/ops.mlir
// test Pad with invalid paddings rank func.func @testPadWithInvalidPaddingsRank(tensor<2x1x3xf32>, tensor<1x3x2xi32>) -> tensor<? x f32> { ^bb0(%arg0: tensor<2x1x3xf32>, %arg1: tensor<1x3x2xi32>): // expected-error @+1 {{'tfl.pad' op failed to verify that operand 1 is 2-D}} %0 = "tfl.pad"(%arg0, %arg1) : (tensor<2x1x3xf32>, tensor<1x3x2xi32>) -> tensor<? x f32> func.return %0#0 : tensor<? x f32> } // -----
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 06 19:09:08 UTC 2024 - 189.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/optimize.cc
return success(); } }; // Fuses Unpack with proceeding Concatenation to Reshape if output type has // static shape and activation function is none. For example: // // // %input: tensor<1x3x2xf32> // %unpack:3 = "tfl.unpack"(%input) {axis = 1 : i32, num = 3 : i32} // %res = "tfl.concatenation"(%unpack#0, %unpack#1, %unpack#2) // {axis = -1 : i32, fused_activation_function = "NONE"} //
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Apr 30 00:40:15 UTC 2024 - 102.3K bytes - Viewed (0)