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Results 1 - 10 of 27 for 4x128xf32 (0.17 sec)
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tensorflow/compiler/mlir/tensorflow/tests/tpu_rewrite.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 22:03:30 UTC 2024 - 172.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/legalize_hlo.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 29 07:26:59 UTC 2024 - 340.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/shape-inference.mlir
func.func @testConv2dShapeInferenceDynamic(%arg0: tensor<1x?x?x128xf32>, %arg1: tensor<128x3x3x128xf32>, %arg2: tensor<128xf32>) -> tensor<1x?x?x128xf32> { // CHECK: "tfl.conv_2d"(%arg0, %arg1, %arg2) <{dilation_h_factor = 2 : i32, dilation_w_factor = 2 : i32, fused_activation_function = "NONE", padding = "VALID", stride_h = 1 : i32, stride_w = 1 : i32}> : (tensor<1x?x?x128xf32>, tensor<128x3x3x128xf32>, tensor<128xf32>) -> tensor<1x?x?x128xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 11.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/optimize.mlir
func.return %4 : tensor<8x128xf32> // CHECK-LABEL: SoftMaxWithNormalization // CHECK: %[[RESULT:.*]] = "tfl.softmax"(%arg0) <{beta = 1.000000e+00 : f32}> : (tensor<8x128xf32>) -> tensor<8x128xf32> // CHECK: return %[[RESULT]] : tensor<8x128xf32> } func.func @SoftMaxWithoutNormalization(%arg0: tensor<8x128xf32>) -> tensor<8x128xf32> {
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/tensorflow/tests/einsum.mlir
// CHECK: %[[v0:.*]] = "tf.Transpose"(%arg0, %[[cst]]) : (tensor<?x?x8x128xf32>, tensor<4xi32>) -> tensor<?x8x?x128xf32> // CHECK: %[[v1:.*]] = "tf.Transpose"(%arg1, %[[cst_0]]) : (tensor<1x?x8x128xf32>, tensor<4xi32>) -> tensor<1x8x128x?xf32> // CHECK: %[[v3:.*]] = "tf.BatchMatMulV2"(%0, %1) <{adj_x = false, adj_y = false}> : (tensor<?x8x?x128xf32>, tensor<1x8x128x?xf32>) -> tensor<?x8x?x?xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Jan 05 18:35:42 UTC 2024 - 25.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/optimize_batch_matmul.mlir
func.return %1 : tensor<4x128x1xf32> // CHECK: %[[TRANSPOSED_X:.*]] = "tfl.transpose" // CHECK-SAME: (tensor<4x2x128xf32>, tensor<3xi32>) -> tensor<4x128x2xf32> // CHECK-NEXT: %[[FC_RES:.*]] = "tfl.fully_connected"(%[[TRANSPOSED_X]] // CHECK-SAME: <{fused_activation_function = "NONE", keep_num_dims = true, weights_format = "DEFAULT"}> : (tensor<4x128x2xf32>, tensor<1x2xf32>, none) -> tensor<4x128x1xf32>
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/tfl_while_outline.mlir
%12 = "tfl.logistic"(%11) : (tensor<4x2xf32>) -> tensor<4x2xf32> %13 = tfl.mul %arg4, %12 {fused_activation_function = "NONE"} : tensor<4x2xf32> %14 = "tfl.relu"(%10#1) : (tensor<4x2xf32>) -> tensor<4x2xf32> %15 = "tfl.logistic"(%10#0) : (tensor<4x2xf32>) -> tensor<4x2xf32> %16 = tfl.mul %15, %14 {fused_activation_function = "NONE"} : tensor<4x2xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 13.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/legalize-tfl-stablehlo-pad.mlir
module { func.func @main(%arg0: tensor<8x128xf32>, %arg1: tensor<f32>) -> tensor<11x131xf32> { %0 = "tfl.custom"(%arg0, %arg1) {custom_code = "stablehlo.pad", custom_option = #tfl<const_bytes : "0x656467655F70616464696E675F6869676800020203656467655F70616464696E675F6C6F7700020100696E746572696F725F70616464696E6700020000033E2A17030103311E0B2C2C2C062401">} : (tensor<8x128xf32>, tensor<f32>) -> tensor<11x131xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Dec 11 20:41:19 UTC 2023 - 939 bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/canonicalize.mlir
func.func @testAddV2IdentityBroadcastTensor(%arg0: tensor<4x1xf32>, %arg1: tensor<4x2xf32>) -> (tensor<4x2xf32>, tensor<4x2xf32>, tensor<4x2xf32>, tensor<4x2xf32>) { %0 = "tf.Const"() {value = dense<0.0> : tensor<1x2xf32>} : () -> tensor<1x2xf32> // Operand and identity shapes are broadcastable. However, we cannot fold // because the operand does not match the result shape. %1 = "tf.AddV2"(%arg0, %0) : (tensor<4x1xf32>, tensor<1x2xf32>) -> tensor<4x2xf32>
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/fused_kernel_matcher.mlir
%1 = "tf.BiasAdd"(%0, %arg0) {data_format = "NHWC"} : (tensor<*xf32>, tensor<128xf32>) -> tensor<*xf32> %2 = "tf.Identity"(%1) : (tensor<*xf32>) -> tensor<*xf32> func.return %2 : tensor<*xf32> } // CHECK-LABEL: conv2DBiasAdd_reluActivation func.func @conv2DBiasAdd_reluActivation(%arg0: tensor<128xf32>, %arg1: tensor<1x1x3x128xf32>, %arg2: tensor<8x32x32x3xf32>) -> (tensor<*xf32>) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 13.2K bytes - Viewed (0)