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Results 11 - 15 of 15 for 1x7x7x16xf32 (0.14 sec)
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tensorflow/compiler/mlir/lite/tests/optimize.mlir
%0 = "tfl.max_pool_2d"(%arg0) {filter_height = 3 : i32, filter_width = 3 : i32, fused_activation_function = "NONE", padding = "VALID", stride_h = 2 : i32, stride_w = 2 : i32} : (tensor<1x147x147x16xf32>) -> tensor<1x73x73x16xf32> %1 = "tfl.relu"(%0) : (tensor<1x73x73x16xf32>) -> tensor<1x73x73x16xf32> func.return %1 : tensor<1x73x73x16xf32>
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/lite/stablehlo/tests/composite-lowering.mlir
// CHECK: %0 = "tfl.transpose"(%arg0, %cst) : (tensor<1x1x1x7xf32>, tensor<4xi32>) -> tensor<1x1x7x1xf32> // CHECK{LITERAL}: %cst_0 = arith.constant dense<[[0, 0], [0, 0], [0, 1], [0, 0]]> : tensor<4x2xi32> // CHECK: %1 = "tfl.pad"(%0, %cst_0) : (tensor<1x1x7x1xf32>, tensor<4x2xi32>) -> tensor<1x1x8x1xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 06 18:45:51 UTC 2024 - 32.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/lower_tf.mlir
// CHECK-NOT: tf.Lgamma %0 = "tf.Lgamma"(%arg0) : (tensor<4xf32>) -> tensor<4xf32> func.return %0 : tensor<4xf32> } // CHECK-LABEL: func @imag_resize_nearest func.func @imag_resize_nearest(%arg0: tensor<1x7x7x1xi32>) -> tensor<1x3x3x1xi32> { %shape = "tf.Const"() {device = "", value = dense<3> : tensor<2xi32>} : () -> tensor<2xi32> // CHECK-DAG: [[VAL0:%.+]] = "tf.Const"() <{value = dense<1> : tensor<i32>}>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Jan 05 18:35:42 UTC 2024 - 92K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/optimize_patterns.td
// Move binary op batched RHS before reshape: // binary(reshape(lhs), rhs) => reshape(binary(lhs, flatten(rhs))) // Pattern targetted here is as follows- // [input, lhr, rhs] == [<1x1024x128>, <1x1024x8x16>, <1x1x8x16xf32>] // This is valid only when the- // 1.last dimension of lhs is equal to the number of elements in constant rhs. // 2.Reduded shape of rhs, here <8x16> is equal to last dimensions of lhs.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 16 20:31:41 UTC 2024 - 66.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/tests/legalize-tf.mlir
%0 = "tf.Conv2D"(%arg0, %arg1) {data_format = "NHWC", dilations = [1, 2, 3, 1], padding = "SAME", strides = [1, 4, 5, 1]} : (tensor<?x32x32x6xf32>, tensor<3x3x3x16xf32>) -> tensor<?x8x7x16xf32> func.return %0 : tensor<?x8x7x16xf32> } //===----------------------------------------------------------------------===//
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon May 06 18:46:23 UTC 2024 - 335.5K bytes - Viewed (0)