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Results 11 - 19 of 19 for floor_mod (0.17 sec)
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tensorflow/compiler/mlir/tf2xla/transforms/legalize_tf_patterns.td
def : Pat<(TF_FloorDivOp AnyTensor:$l, AnyTensor:$r), (CHLO_BroadcastDivOp $l, $r, (BinBroadcastDimensions $l, $r)), [(UnsignedIntTensor $l)]>; // Performs a substitution of FloorMod designed to correct for possibly negative // values. Pseudocode shown below: // // T trunc_mod = std::fmod(x, y); // return trunc_mod != 0 && (y < 0 != trunc_mod < 0) ? trunc_mod + y
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon May 06 18:46:23 UTC 2024 - 34.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/tests/legalize-tf.mlir
// CHECK-NEXT: return [[SELECT]] %0 = "tf.FloorMod"(%arg0, %arg1) : (tensor<?x?xi32>, tensor<?xi32>) -> tensor<?x?xi32> func.return %0: tensor<?x?xi32> } // ----- // CHECK-LABEL: func @floormod_dynamic_broadcast_denominator func.func @floormod_dynamic_broadcast_denominator_(%arg0: tensor<?x?xf32>, %arg1: tensor<?x?x?xf32>) -> tensor<?x?x?xf32> { // CHECK-NOT: tf.FloorMod
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/schema/schema_generated.h
"ONE_HOT", "LOGICAL_AND", "LOGICAL_NOT", "UNPACK", "REDUCE_MIN", "FLOOR_DIV", "REDUCE_ANY", "SQUARE", "ZEROS_LIKE", "FILL", "FLOOR_MOD", "RANGE", "RESIZE_NEAREST_NEIGHBOR", "LEAKY_RELU", "SQUARED_DIFFERENCE", "MIRROR_PAD", "ABS", "SPLIT_V", "UNIQUE", "CEIL", "REVERSE_V2",
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 21 18:21:50 UTC 2024 - 1M bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/legalize_hlo.mlir
func.return %15 : tensor<8x128xbf16> } // CHECK-LABEL: func @convert_floor_mod_float // CHECK: %[[RESULT:.*]] = "tf.FloorMod"(%arg0, %arg1) : (tensor<192x8xbf16>, tensor<192x8xbf16>) -> tensor<192x8xbf16> // CHECK: return %[[RESULT]] // CHECK: }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 29 07:26:59 UTC 2024 - 340.2K bytes - Viewed (0) -
RELEASE.md
* Added 16-bit int type support for built-in op `less`, `greater_than`, `equal` * Added 8-bit and 16-bit support for `floor_div` and `floor_mod`. * Added 16-bit and 32-bit int support for the built-in op `bitcast`. * Added 8-bit/16-bit/32-bit int/uint support for the built-in op `bitwise_xor`
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 730.3K bytes - Viewed (0) -
tensorflow/compiler/jit/mark_for_compilation_pass.cc
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Feb 21 12:19:41 UTC 2024 - 85.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/prepare-composite-functions-tf.mlir
%6 = "tf.Const"() {value = dense<[1, 0]> : tensor<2xi32>} : () -> tensor<2xi32> %7 = "tf.FloorDiv"(%arg1, %5) {device = ""} : (tensor<1x1x2x1xi32>, tensor<i32>) -> tensor<1x1x2x1xi32> %8 = "tf.FloorMod"(%7, %4) {device = ""} : (tensor<1x1x2x1xi32>, tensor<i32>) -> tensor<1x1x2x1xi32> %9 = "tf.FloorDiv"(%arg1, %4) {device = ""} : (tensor<1x1x2x1xi32>, tensor<i32>) -> tensor<1x1x2x1xi32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 122.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/transforms/legalize_tf.cc
op.getLoc(), ChangeTensorElementType(&rewriter, out_type, rewriter.getF32Type()), l, r); auto floor_op = rewriter.create<ConvertOp>(op.getLoc(), out_type, intermediate); rewriter.replaceOp(op, floor_op.getResult()); return success(); } }; class ConvertBroadcastToOp : public OpRewritePattern<TF::BroadcastToOp> { public:
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 20:00:43 UTC 2024 - 291.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/ir/tf_generated_ops.td
} def TF_FloorModOp : TF_Op<"FloorMod", [Pure, ResultsBroadcastableShape, TF_SameOperandsAndResultElementTypeResolveRef]>, WithBroadcastableBinOpBuilder { let summary = "Returns element-wise remainder of division."; let description = [{ This follows Python semantics in that the result here is consistent with a flooring divide. E.g. `floor(x / y) * y + floormod(x, y) = x`, regardless of the signs of x and y.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 793K bytes - Viewed (0)