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Results 1 - 3 of 3 for 28x1x8xf32 (0.1 sec)
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tensorflow/compiler/mlir/lite/tests/optimize.mlir
%cst = arith.constant dense<1> : tensor<1xi32> %0 = "tfl.exp"(%arg0) : (tensor<8x128xf32>) -> tensor<8x128xf32> %1 = "tfl.sum"(%0, %cst) {keep_dims = true} : (tensor<8x128xf32>, tensor<1xi32>) -> tensor<8x1xf32> %2 = "tfl.div"(%0, %1) {fused_activation_function = "NONE"} : (tensor<8x128xf32>, tensor<8x1xf32>) -> tensor<8x128xf32> func.return %2 : 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/tf2xla/tests/legalize-tf.mlir
func.return %0 : tensor<8xf32> } // ----- // CHECK-LABEL: strided_slice_grad_ellipsis_mask // CHECK-SAME: [[GRAD:%.*]]: tensor<2x4x8xf32> func.func @strided_slice_grad_ellipsis_mask(%grad: tensor<2x4x8xf32>) -> tensor<4x4x8xf32> { // Input to StridedSlice was of shape 4x4x8xf32 // Strided slice gets input[2:4, ...]
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/stablehlo/tests/legalize_hlo.mlir
// CHECK-SAME: %[[VAL_1:.*]]: tensor<8x8x8x64xf32>) -> tensor<?x3x3x64xf32> { // CHECK: %[[VAL_2:.*]] = "tf.Conv2D"(%[[VAL_0]], %[[VAL_1]]) <{data_format = "NHWC", dilations = [1, 1, 1, 1], explicit_paddings = [0, 0, 1, 1, 1, 1, 0, 0], padding = "EXPLICIT", strides = [1, 1, 1, 1], use_cudnn_on_gpu = true}> : (tensor<?x8x8x8xf32>, tensor<8x8x8x64xf32>) -> tensor<?x3x3x64xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 29 07:26:59 UTC 2024 - 340.2K bytes - Viewed (0)